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Free Download Python Matplotlib Programming With Coding Exercises
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 144.88 MB | Duration: 1h 12m
Master Data Visualization in Python with Hands-On Matplotlib Challenges

What you'll learn
How to create and customize various types of plots using Matplotlib.
Techniques for enhancing the clarity and aesthetic appeal of your data visualizations.
The ability to work with subplots and complex visualizations in Matplotlib.
Practical experience in applying Matplotlib to real-world data visualization projects.
Requirements
Basic knowledge of Python programming.
Description
Welcome to Python Matplotlib Programming with Coding Exercises, your comprehensive guide to mastering data visualization using the powerful Matplotlib library. Matplotlib is a cornerstone of Python's data visualization tools, allowing you to create stunning and informative graphs, plots, and charts that make data analysis more accessible and understandable.In today's data-driven world, the ability to effectively visualize data is essential for professionals across various fields. Whether you're a data scientist, analyst, or a Python enthusiast, learning how to use Matplotlib to its fullest potential will significantly enhance your data storytelling skills. This course is designed to address the growing need for clear, impactful data visualizations that drive decision-making and insights.Throughout this course, you will delve into the essential and advanced features of Matplotlib, gaining hands-on experience with coding exercises that reinforce your learning. Here's what you'll cover:Introduction to Matplotlib and its importance in data visualization.Understanding the anatomy of Matplotlib plots and customizing them for clarity and aesthetic appeal.Creating various types of plots including line, bar, scatter, histogram, and pie charts.Working with subplots to create complex, multi-layered visualizations.Adding labels, titles, legends, and annotations to enhance the interpretability of your plots.Styling plots with colors, markers, and line styles to match your data's narrative.Saving and exporting your visualizations for presentations and reports.Each coding exercise is crafted to help you build a solid foundation in Matplotlib, ensuring that you can confidently visualize data in your projects and presentations.Instructor Introduction: Your instructor, Faisal Zamir, has over 7 years of experience in teaching Python and data visualization. As a seasoned Python developer and educator, Faisal has a deep understanding of how to convey complex programming concepts in an easy-to-understand manner, making this course perfect for learners at all levels.Certificate at the End of Course: Upon completing the course, you will receive a certificate of completion, showcasing your proficiency in Matplotlib and your ability to create professional-grade data visualizations.
Overview
Section 1: Introduction to Matplotlib
Lecture 1 Introduction to Matplotlib
Lecture 2 Lesson 01
Lecture 3 Coding Exercises
Section 2: Basic Plotting Techniques
Lecture 4 Basic Plotting Techniques
Lecture 5 Lesson 02
Lecture 6 Coding Exercises
Section 3: Working with Scatter Plots and Histograms
Lecture 7 Working with Scatter Plots and Histograms
Lecture 8 Lesson 03
Lecture 9 Coding Exercises
Section 4: Plot Customization and Aesthetics
Lecture 10 Plot Customization and Aesthetics
Lecture 11 Lesson 04
Lecture 12 Coding Exercises
Section 5: Advanced Plot Types
Lecture 13 Advanced Plot Types
Lecture 14 Lesson 05
Lecture 15 Coding Exercises
Section 6: Working with Time Series Data
Lecture 16 Working with Time Series Data
Lecture 17 Lesson 06
Lecture 18 Coding Exercises
Section 7: Advanced Customization and Styles
Lecture 19 Advanced Customization and Styles
Lecture 20 Lesson 07
Lecture 21 Coding Exercises
Section 8: Data Visualization with Seaborn Integration
Lecture 22 Data Visualization with Seaborn Integration
Lecture 23 Lesson 08
Lecture 24 Coding Exercises
Section 9: Advanced Plotting Techniques
Lecture 25 Advanced Plotting Techniques
Lecture 26 Lesson 09
Lecture 27 Coding Exercises
Section 10: Performance Optimization and Best Practices
Lecture 28 Performance Optimization and Best Practices
Lecture 29 Lesson 10
Lecture 30 Coding Exercises
Data scientists and analysts looking to improve their data visualization skills.,Python developers interested in learning how to effectively visualize data.,Anyone who wants to enhance their ability to communicate insights through data visualizations.
Homepage

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Free Download Python Programming Mastery - Unlock the Power of Coding
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 38m | Size: 1.42 GB
Python programming from scratch to advanced concepts & unlock the full potential of coding in this comprehensive course.

What you'll learn
Introduction to Python
Installing Python and Setting up the Environment
Basic Data Types (Numbers, Strings, Lists, Tuples, Dictionaries, Sets)
Control Flow (If-Else statements, Loop For, While Loop)
Classes and Objects
Operators and Expressions
Functions and Modules
Encapsulation and Abstraction
Regular Expressions
Modules and Packages
NumPy and Pandas for Data Manipulation and Analysis
Matplotlib for Data Visualization
Django for Web Development
Flask for Lightweight Web Development
Code Optimization and Performance Tuning
Requirements
No Prior Experience Required
Description
Unlock the full potential of coding with "Python Programming Mastery: Unlock the Power of Coding"-a comprehensive course designed for beginners and those looking to deepen their Python programming skills. This course will guide you step-by-step from basic concepts to advanced techniques, making you a confident Python programmer ready to tackle real-world projects.You'll begin by mastering the fundamentals of Python, including variables, data types, control structures, and functions. As you progress, you'll explore more advanced topics such as object-oriented programming (OOP), file handling, data manipulation, and popular Python libraries like NumPy and Pandas.Course Outlineython FundamentalsIntroduction to PythonInstalling Python and Setting up the EnvironmentBasic Data Types (Numbers, Strings, Lists, Tuples, Dictionaries, Sets)Operators and ExpressionsControl Flow (If-Else statements, Loop For, While Loop)Functions and ModulesObject-Oriented Programming (OOP) in PythonClasses and ObjectsInheritance and PolymorphismEncapsulation and Abstraction Exception HandlingAdvanced Python ConceptsRegular ExpressionsFile I/OModules and PackagesDecorators and GeneratorsFunctional Programming in PythonMetaclassesPython Libraries and FrameworksNumPy and Pandas for Data Manipulation and AnalysisMatplotlib for Data VisualizationScikit-learn for Machine LearningDjango for Web DevelopmentFlask for Lightweight Web DevelopmentPython Project DevelopmentTesting and DebuggingCode Optimization and Performance TuningDeployment and MaintenanceThrough engaging lessons, hands-on projects, and coding challenges, you'll develop problem-solving skills and build a portfolio of Python projects. By the end of the course, you'll be equipped to apply Python in diverse fields like web development, automation, data analysis, and even artificial intelligence.This course is your pathway to mastering Python and unlocking endless possibilities in the world of coding. Whether you're aiming for a career in tech or just want to enhance your programming skills, this is the course for you!
Who this course is for
Anyone interested in becoming a proficient Python Programming.
Homepage

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Free Download Python Programming for Cybersecurity From Zero to Defender
Published 11/2024
Created by Alexander Oni
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 73 Lectures ( 7h 44m ) | Size: 1.88 GB

Learn how to code with the Python programming language in a way that is relevant to cyber security
What you'll learn
Understand the basics of programming
Understand Fundamental Python Syntax and Structure
Apply Control Structures to Build Decision-Making Programs
Handle and Process Data using Python Data Structures
Utilize File Handling for Security Applications
Use Modules and Libraries to Enhance Functionality
Implement Object-Oriented Programming Concepts
Understand Basic Security Practices in Python Programming
Requirements
Basic cyber security knowledge
Description
Python Basics for Cybersecurity Professionals is designed to equip you with foundational Python programming skills essential for today's security landscape. Tailored specifically for cybersecurity enthusiasts and professionals, this course will take you from Python basics to building scripts that automate security tasks, handle sensitive data securely, and interact with system resources efficiently.Who Is This Course For?Aspiring cybersecurity professionals looking to build Python skills for entry-level roles.Current security analysts who want to enhance their toolkits with Python for automating tasks.IT and security enthusiasts with little or no programming background who want to start using Python in a security context.No previous programming experience is required-just a willingness to learn and explore!What You'll LearnThrough hands-on exercises, real-world examples, and project-based learning, you'll gainython Fundamentals: Start from scratch with Python syntax, variables, data types, control structures, and functions.Data Handling for Security: Manage and process data with Python's lists, dictionaries, and file handling capabilities, essential for working with logs, IP addresses, and credentials.File Management and Automation: Open, read, and write files to automate repetitive tasks and streamline data processing.Secure Programming Practices: Learn to safely handle passwords, hash data, and manage sensitive information following best security practices.Intro to Object-Oriented Programming: Discover how classes and objects can help you build modular, reusable code for security applications.Practical Cybersecurity Applications: Build scripts to solve security-related tasks, such as checking login attempts, filtering suspicious IPs, and working with basic encryption.Course HighlightsCybersecurity-Focused Projects: Apply what you learn in projects that simulate real-world security scenarios.Step-by-Step Guidance: Each module builds on the previous one, making it easy to follow along, even if you're new to programming.Hands-On Learning: Gain practical experience with labs, exercises, and quizzes to reinforce each skill.Code Along with Examples: Follow cybersecurity-themed examples to apply Python in ways that make sense for security tasks.Why Python for Cybersecurity?Python is one of the most versatile languages in cybersecurity, offering flexibility, simplicity, and an extensive library ecosystem perfect for data analysis, automation, and threat detection. Whether you're scanning logs, analyzing network traffic, or creating custom tools, Python can empower you to work more effectively and make an impact in your security role.Join the Course Today!Take your first step into Python programming and start building skills that will support your cybersecurity career. By the end of this course, you'll be able to confidently use Python to automate tasks, analyze data, and create security-focused scripts.Enroll now and get ready to harness the power of Python for cybersecurity!
Who this course is for
Cyber security professionals who want to learn the basics of Python
Students who want to learn how to program with Python
Homepage

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Free Download Python Projects with Python Programming
Published 11/2024
Created by Anshu Goyal
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 26 Lectures ( 3h 28m ) | Size: 891 MB

Transforming Concepts into Real-World Applications
What you'll learn
Practical Project Development
Familiarity with Python Libraries
Problem-Solving Skills
Confidence in Python Programming
Requirements
Basic Understanding of Programming Concepts: Learners should have a foundational knowledge of programming concepts such as variables, control structures (if statements, loops), and functions. Familiarity with any programming language will be beneficial.
Python Installation: Students must have Python installed on their computers. Instructions for installation and setting up a coding environment will be provided during the course.
Text Editor or IDE: Participants should have access to a text editor (like Visual Studio Code, Atom, or Sublime Text) or an Integrated Development Environment (IDE) such as PyCharm. These tools will be used for coding exercises and project development.
Willingness to Learn: A positive attitude and eagerness to explore Python programming and project development are essential. This course is designed for both beginners and those with some experience, so a curiosity to learn will be the key to success.
Description
Unlock the practical side of Python with our hands-on course, Applied Python: Building Projects with Python Programming! This course is designed to take you from Python basics to real-world project-building, making Python your go-to tool for problem-solving and innovation. Perfect for beginners and intermediate Python enthusiasts alike, this course introduces key programming concepts and applies them in practical projects across data analysis, web development, automation, and more.You'll learn how to:Build projects that solve real-world problems and gain hands-on experience.Implement Python in web scraping, data visualization, and automation.Design functional applications with a clear step-by-step approach.Explore powerful libraries such as Pandas, Flask, and BeautifulSoup.By the end of this course, you'll have the skills and confidence to take on your own Python projects and tackle new challenges independently. Whether you're preparing for a career in tech, aiming to upskill, or simply exploring Python's potential, this course will help you reach your goals.Who is this course for?Aspiring Python developers wanting to enhance their skills through real projects.Students, data enthusiasts, and professionals looking to broaden their programming toolkit.Anyone with a basic understanding of Python aiming to transition from theory to hands-on applications.Enroll today and embark on a journey that transforms your Python skills into real-world applications!
Who this course is for
Aspiring Python Developers: Individuals looking to kickstart their careers in tech will find this course invaluable as it provides essential project-building experience and a solid foundation in Python.
Students and Educators: High school or college students studying computer science or related fields can use this course to supplement their knowledge and gain hands-on experience that will enhance their academic performance.
Data Enthusiasts: Professionals or hobbyists interested in data analysis, data science, or data visualization will benefit from learning how to manipulate and visualize data effectively using Python.
Tech Professionals Looking to Upskill: Individuals currently working in technology or adjacent fields who want to broaden their skill set and learn how to leverage Python for automation, web development, or data processing.
Beginners in Programming: Those with no prior programming experience but a strong desire to learn will find a welcoming introduction to Python, focusing on hands-on projects that build confidence and competence.
Homepage

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Free Download Python Pygame - Game Development With Coding Exercises
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 243.88 MB | Duration: 1h 34m
Create Interactive Games and Simulations with PyGame: Learn by Doing!

What you'll learn
How to set up and use the PyGame library for game development.
Techniques for creating and manipulating game elements like sprites and sounds.
Implementation of game mechanics such as user input, physics, and collision detection.
Skills to develop, debug, and optimize complete games and interactive projects.
Requirements
Basic knowledge of Python programming.
Familiarity with basic programming concepts such as variables and loops.
Description
Welcome to Python PyGame Programming with Coding Exercises, your gateway to learning game development using the PyGame library. PyGame is a versatile library that simplifies the process of game development in Python, allowing you to create engaging and interactive games with ease. Whether you're a beginner eager to learn game programming or an experienced developer looking to expand your skillset, this course offers hands-on coding exercises to solidify your understanding and enhance your abilities.In today's tech-driven world, the ability to develop games and simulations is a highly sought-after skill. PyGame provides an accessible yet powerful platform for game development, making it an essential tool for hobbyists and professionals alike. This course is designed to help you leverage PyGame to build interactive applications and games, while also giving you practical experience through coding exercises.Throughout this course, you will explore:Introduction to PyGame and game development fundamentals: Learn about the PyGame library, its setup, and the core principles of game design.Creating game elements: Understand how to create and manipulate game assets like sprites, backgrounds, and sound effects.Building game mechanics: Learn how to implement key features such as user input, game physics, and collision detection.Developing complete games: Apply your knowledge to create simple yet fully functional games, including classic examples like Pong and Space Invaders.Advanced topics: Explore more complex concepts such as game loops, scoring systems, and level design.Debugging and optimizing: Learn best practices for debugging your code and optimizing game performance.By the end of this course, you'll have a solid foundation in game development with PyGame, equipped with the skills to create your own games and interactive projects.Instructor Introduction: Faisal Zamir is an experienced Python developer and educator with over 7 years of teaching experience. Faisal's deep knowledge of Python and game development will guide you through the intricacies of PyGame, ensuring a comprehensive and enjoyable learning experience.30 Days Money-Back Guarantee: We are confident in the quality of our course. If you find it does not meet your expectations, we offer a 30-day money-back guarantee with no questions asked.Certificate at the End of Course: Upon successful completion of the course, you will receive a certificate that highlights your proficiency in PyGame programming, adding value to your professional credentials.
Overview
Section 1: Introduction to PyGame
Lecture 1 Introduction to PyGame
Lecture 2 Lesson 01
Lecture 3 Coding Exercises
Section 2: Working with Surfaces and Images
Lecture 4 Working with Surfaces and Images
Lecture 5 Lesson 02
Lecture 6 Coding Exercises
Section 3: Movement and Collision Detection
Lecture 7 Movement and Collision Detection
Lecture 8 Lesson 03
Lecture 9 Coding Exercises
Section 4: Working with Sprites and Sprite Groups
Lecture 10 Working with Sprites and Sprite Groups
Lecture 11 Lesson 04
Lecture 12 Coding Exercises
Section 5: Sound and Music in PyGame
Lecture 13 Sound and Music in PyGame
Lecture 14 Lesson 05
Lecture 15 Coding Exercises
Section 6: Building Game Levels and Backgrounds
Lecture 16 Building Game Levels and Backgrounds
Lecture 17 Lesson 06
Lecture 18 Coding Exercises
Section 7: Game Physics and Animation
Lecture 19 Game Physics and Animation
Lecture 20 Lesson 07
Lecture 21 Coding Exercises
Section 8: Creating Game Menus and User Interfaces
Lecture 22 Creating Game Menus and User Interfaces
Lecture 23 Lesson 08
Lecture 24 Coding Exercises
Section 9: Advanced Game Mechanics
Lecture 25 Advanced Game Mechanics
Lecture 26 Lesson 09
Lecture 27 Coding Exercises
Section 10: Building a Complete Game Project
Lecture 28 Building a Complete Game Project
Lecture 29 Lesson 10
Lecture 30 Coding Exercises
Aspiring game developers looking to learn game programming with Python.,Python enthusiasts interested in creating interactive applications and games.,Individuals who want to explore game development as a hobby or career path.
Homepage

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Free Download Python Pytorch Programming with Coding Exercises
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 26m | Size: 305 MB
Master Deep Learning with PyTorch Through Hands-On Coding Challenges

What you'll learn
How to build, train, and evaluate neural networks using PyTorch.
Techniques for optimizing deep learning models, including regularization and transfer learning.
Implementation of CNNs and RNNs for complex tasks in image and sequence data.
Practical skills in applying PyTorch to real-world deep learning projects.
Requirements
A basic understanding of Python programming.
Familiarity with fundamental machine learning concepts.
Description
Welcome to Python PyTorch Programming with Coding Exercises, a dynamic course designed to equip you with the skills and knowledge required to excel in deep learning using the powerful PyTorch framework. PyTorch is one of the most popular and widely used deep learning libraries, trusted by researchers and developers worldwide for its flexibility and efficiency in building neural networks.In today's rapidly evolving tech landscape, deep learning has become a critical skill, driving advancements in AI, machine learning, and data science. Understanding PyTorch is essential for anyone looking to delve into deep learning, as it offers a seamless way to design, implement, and optimize neural networks. This course is essential for those who aim to stay at the forefront of AI and machine learning.This course is meticulously structured to guide you through the fundamental and advanced concepts of PyTorch, with a focus on practical application through coding exercises. You'll explore a wide range of topics, including:Introduction to PyTorch and its significance in the deep learning ecosystem.Building and training neural networks from scratch using PyTorch.Implementing various layers and activation functions for customized model architectures.Training, validation, and testing of deep learning models.Handling overfitting with regularization techniques and optimizing model performance.Understanding and implementing convolutional neural networks (CNNs) and recurrent neural networks (RNNs).Working with datasets and data loaders for efficient training.Transfer learning and fine-tuning pre-trained models for specific tasks.Each coding exercise is designed to reinforce your understanding of these concepts, ensuring that you not only learn but also apply PyTorch to solve real-world deep learning problems.Instructor Introduction: Your instructor, Faisal Zamir, brings over 7 years of experience in teaching Python and deep learning. As a Python developer and educator, Faisal has successfully guided countless students in mastering complex programming concepts, making this course both accessible and deeply informative.Certificate at the End of the Course: Upon successfully completing the course, you will receive a certificate of completion. This certificate will validate your expertise in using PyTorch for deep learning, enhancing your professional credibility and career prospects.
Who this course is for
Aspiring data scientists and AI enthusiasts looking to learn deep learning.
Machine learning engineers who want to expand their skills with PyTorch.
Python developers interested in applying their programming skills to the field of AI and deep learning.
Homepage

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Free Download Python Scipy Programming with Coding Exercises
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 33m | Size: 313 MB
Unlock the Power of Scientific Computing with Python SciPy

What you'll learn
How to use SciPy for optimization, integration, and interpolation tasks.
Techniques for solving linear algebra problems and performing statistical computations with SciPy.
Methods for processing signals and applying Fourier transforms.
Practical applications of SciPy in solving real-world scientific and engineering problems.
Requirements
Basic knowledge of Python programming.
Familiarity with fundamental mathematical concepts.
Description
Welcome to Python SciPy Programming with Coding Exercises, a comprehensive course designed to help you master the SciPy library, one of the most powerful tools for scientific and technical computing in Python. SciPy is widely used in various fields such as engineering, physics, mathematics, and data science due to its ability to perform complex computations with ease. This course is specifically designed to provide you with hands-on experience through coding exercises that will deepen your understanding of SciPy and its vast capabilities.Why is learning SciPy necessary? In today's data-driven world, the ability to perform efficient scientific computations and data analysis is crucial. SciPy offers a wide range of modules for optimization, integration, interpolation, eigenvalue problems, and other scientific tasks. Whether you are working in academia, research, or industry, having a strong grasp of SciPy will enhance your ability to solve complex problems and contribute to impactful projects.Throughout this course, you will engage in practical coding exercises covering a wide range of topics, including:Introduction to SciPy and its ecosystemOptimization techniques using SciPy's optimize modulePerforming numerical integration with integrateWorking with special functions using specialInterpolation methods for data fittingSolving linear algebra problems with linalgSignal processing with signalStatistical computations using statsFourier transforms and other advanced scientific computationsEach exercise is carefully crafted to build your proficiency in SciPy, enabling you to apply these techniques to real-world scientific and engineering challenges.Instructor Introduction: Your instructor, Faisal Zamir, brings over 7 years of experience in teaching and Python development. With his extensive knowledge in scientific computing and a passion for teaching, Faisal is committed to guiding you through the complexities of SciPy with clear explanations and practical examples.Certificate at the End of the Course: Upon completing this course, you will receive a certificate of achievement that recognizes your proficiency in scientific computing with Python SciPy. This certificate can be a valuable addition to your professional credentials.
Who this course is for
Students and professionals in engineering, physics, mathematics, or data science who want to leverage SciPy for scientific computing.
Python developers looking to expand their skillset into scientific and technical computing.
Researchers and analysts who need to perform complex computations and data analysis.
Homepage

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Free Download Python Selenium Programming With Coding Exercises
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 192.57 MB | Duration: 1h 29m
Master Web Automation and Testing with Hands-On Selenium Coding Challenges

What you'll learn
How to set up and configure Selenium with Python for web automation and testing.
Techniques for writing and executing automated test scripts and web scrapers.
Advanced Selenium concepts including handling dynamic content and using Selenium Grid.
Best practices for debugging and handling exceptions in automation scripts.
Requirements
Basic knowledge of Python programming.
Familiarity with HTML and web technologies is helpful but not required.
Description
Welcome to Python Selenium Programming with Coding Exercises, an essential course for anyone looking to automate web interactions and perform robust web testing using Python and Selenium. Selenium is a powerful tool for web automation that allows you to simulate user interactions with a web browser, making it invaluable for testing web applications and scraping web data.In the modern software development landscape, automation is crucial for improving efficiency, ensuring quality, and managing repetitive tasks. Selenium, combined with Python, provides a versatile framework for automating web interactions, making it a valuable skill for developers, testers, and data engineers. This course is designed to give you hands-on experience with Selenium and Python, enabling you to create automated test scripts and web scrapers efficiently.Throughout this course, you will cover:Introduction to Selenium and its role in web automation and testing: Learn about Selenium's architecture and how it integrates with Python.Setting up your Selenium environment: Install and configure Selenium WebDriver and related tools.Writing and executing automated test scripts: Learn how to write scripts to interact with web elements, handle forms, and simulate user actions.Advanced techniques in Selenium: Explore advanced topics such as handling dynamic content, managing cookies, and using Selenium Grid for parallel execution.Web scraping with Selenium: Understand how to use Selenium for extracting data from websites.Handling exceptions and debugging: Learn best practices for handling errors and debugging your automation scripts.Practical exercises: Apply your knowledge through hands-on coding exercises to reinforce your skills and tackle real-world scenarios.By the end of this course, you will be proficient in using Selenium with Python to automate web tasks, perform thorough web testing, and scrape data from the web efficiently.Instructor Introduction: Faisal Zamir is an experienced Python developer and educator with over 7 years of experience in teaching and working with web automation technologies. Faisal's expertise and clear teaching style will guide you through the complexities of Selenium, ensuring a comprehensive and practical learning experience.30 Days Money-Back Guarantee: We stand by the quality of our course. If you're not completely satisfied, we offer a 30-day money-back guarantee with no questions asked.Certificate at the End of Course: Upon successful completion, you will receive a certificate that validates your skills in Python Selenium programming, enhancing your professional profile.
Overview
Section 1: Introduction to Selenium and Setup
Lecture 1 Introduction to Selenium and Setup
Lecture 2 Lesson 01
Lecture 3 Coding Exercises
Section 2: Locating Elements on a Web Page
Lecture 4 Locating Elements on a Web Page
Lecture 5 Lesson 02
Lecture 6 Coding Exercises
Section 3: Interacting with Web Elements
Lecture 7 Interacting with Web Elements
Lecture 8 Lesson 03
Lecture 9 Coding Exercises
Section 4: Working with Waits and Synchronization
Lecture 10 Working with Waits and Synchronization
Lecture 11 Lesson 04
Lecture 12 Coding Exercises
Section 5: Navigating Through Pages
Lecture 13 Navigating Through Pages
Lecture 14 Lesson 05
Lecture 15 Coding Exercises
Section 6: Handling JavaScript and AJAX
Lecture 16 Handling JavaScript and AJAX
Lecture 17 Lesson 06
Lecture 18 Coding Exercises
Section 7: Working with Headless Browsers
Lecture 19 Working with Headless Browsers
Lecture 20 Lesson 07
Lecture 21 Coding Exercises
Section 8: Handling Advanced Web Elements and Interactions
Lecture 22 Handling Advanced Web Elements and Interactions
Lecture 23 Lesson 08
Lecture 24 Coding Exercises
Section 9: Test Frameworks and Selenium
Lecture 25 Test Frameworks and Selenium
Lecture 26 Lesson 09
Lecture 27 Coding Exercises
Section 10: Building a Complete Selenium Automation
Lecture 28 Building a Complete Selenium Automation
Lecture 29 Lesson 10
Lecture 30 Coding Exercises
Developers and testers looking to enhance their skills in web automation and testing.,Python enthusiasts interested in learning how to automate web tasks and scrape data.,Professionals aiming to improve their efficiency and accuracy in web-related tasks.
Homepage

https://www.udemy.com/course/python-selenium-programming-with-coding-exercises/

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Free Download Python for Complete Beginners - Learn To Code with Python!
Published 11/2024
Created by Mustapha Jibril Muhammad
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 55 Lectures ( 7h 30m ) | Size: 2.22 GB

Learn Python from scratch-no prior experience needed! Gain skills through hands-on exercises and real-world projects.
What you'll learn
Setup and Installation: Get your development environment ready.
Core Python Concepts: Understand variables, data types, loops, functions, and more.
Hands-On Practice: Apply what you learn through engaging projects and coding exercises.
Think Like a Programmer: Learn problem-solving skills that will help you tackle any programming challenge.
Requirements
A computer (Windows, macOS, or Linux)
A desire to learn Python programming
No prior experience needed!
Description
Are you looking to kickstart your programming journey or level up your coding skills? Learning to code can feel intimidating, but this course makes it fun, practical, and beginner-friendly. Whether you're a student, a professional, or just curious about programming, you're in the right place! Here's why you'll love this course:You'll benefit from this course if:You're a student needing to learn Python for school projects.Your job requires Python skills, and you want to stay ahead.You have a personal project idea and want to bring it to life.You're simply looking to learn a valuable new skill.By the end of this course, you'll have a solid foundation in Python programming, with the ability to create small, functional applications on your own.What You'll LearnThis course is designed with a step-by-step approach to help you master Python fundamentals:Setup and Installation: Get your development environment ready.Core Python Concepts: Understand variables, data types, loops, functions, and more.Hands-On Practice: Apply what you learn through engaging projects and coding exercises.Think Like a Programmer: Learn problem-solving skills that will help you tackle any programming challenge.You'll learn by doing. Every concept comes with practical examples and projects, so you can gain real-world experience and build confidence as you go.Who is this course for?Complete beginners with no prior programming experienceAnyone looking to learn Python for school, work, or personal projectsHobbyists interested in building small Python appsIndividuals wanting to gain a new, in-demand skillWhy Take This Course?Learn by Example: Every lesson is designed with clear explanations and practical projects.Hands-On Learning: Practice coding right away and develop a deeper understanding.Think Like a Programmer: Build the problem-solving mindset that separates good programmers from great ones.Guaranteed Satisfaction: Not satisfied? No problem. The course comes with a 30-day money-back guarantee, no questions asked.Ready to Start?This is your chance to gain a valuable skill that can open doors in your career or personal projects. You've got nothing to lose-enroll now and start your Python journey today!
Who this course is for
Complete beginners with no prior programming experience
Anyone looking to learn Python for school, work, or personal projects
Hobbyists interested in building small Python apps
Individuals wanting to gain a new, in-demand skill
Anyone eager to learn Python from scratch
Curious minds looking to understand programming fundamentals
Homepage

https://www.udemy.com/course/python-for-complete-beginners-learn-to-code-with-python/

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Free Download QGIS from A to Z - Complete Course in Geoprocessing
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 52m | Size: 4.18 GB
Complete QGIS Course: 11+ Hours, 1000+ Slides, and Practice Files for Real-World Application

What you'll learn
Mastering Theoretical Fundamentals: Understanding the fundamental concepts of Cartography, GPS, Remote Sensing, and Geographic Information Systems (GIS).
Mastery of Practical Tools: Ability to use geoprocessing tools, including the installation and use of QGIS software.
Ability to Perform Spatial Analysis: Ability to perform spatial analysis and geographic data modeling using advanced GIS techniques.
Application in Real-World Contexts: Apply knowledge in a variety of contexts: urban planning, agronomy, engineering, environmental management, and others.
Requirements
No prior experience is necessary.
Description
Welcome to the ultimate journey in the world of Geoprocessing and Geographic Information Systems (GIS)! This comprehensive course is your gateway to becoming a GIS master, empowering you to master all facets of digital mapping, spatial analysis, and location-based decision-making.From the theoretical foundations of cartography to the practical applications of Remote Sensing, GPS, and the leading QGIS software, this course covers everything you need to know to excel in the dynamic field of Geoprocessing.This course will guide you step by step, covering essential topics such as cartographic projections, geospatial data manipulation, thematic map creation, image georeferencing, and advanced GIS analyses. With a hands-on approach and real-world projects, you will learn not only how to use the tools but also how to apply your knowledge in practical scenarios and solve complex problems.Whether you are a university student seeking a competitive edge, a career transition professional looking for new opportunities, or an experienced GIS specialist seeking enhancement, this course is for you. Join us and dive into a world of geospatial discovery!What you will learn:Theoretical foundations of cartography and geodesy.Practical applications of GPS, Remote Sensing, and GIS.Advanced use of QGIS software for geospatial data manipulation.Spatial analysis, thematic map creation, and image georeferencing.Solving real-world problems through practical projects and case studies.Ready to become a master in Geoprocessing and QGIS? Start your journey now to master Geoprocessing from A to Z!
Who this course is for
This course is designed for students, professionals, and enthusiasts who want to acquire solid skills in Geographic Information Systems (GIS) and Geoprocessing, regardless of their previous experience level. Whether you are an absolute beginner in the field or a professional looking to enhance your skills, this course offers a comprehensive and practical approach to exploring the essential concepts and tools of GIS. This course is valuable for: University Students: Students of Geography, Environmental Engineering, Civil Engineering, Agronomy, Biology, and related fields who want to acquire practical GIS skills to complement their academic training and increase their career prospects. Professionals in Career Transition: Professionals looking to expand their skills and job opportunities in sectors related to the environment, urban planning, natural resource management, precision agriculture, geomarketing, and other fields that rely on the effective use of geospatial data. Beginner GIS Professionals: Individuals taking their first steps in their careers in GIS and Geoprocessing who want a solid foundation in theoretical and practical concepts to stand out in the job market. Experienced Professionals Seeking Updates: GIS professionals looking to update their skills and knowledge with the latest technologies and practices in Geoprocessing, as well as explore new applications and advanced techniques. Regardless of your goal, this course offers a comprehensive and practical learning journey, guiding you from theoretical fundamentals to practical application in real-world projects, empowering you to excel in the dynamic and growing field of Geoprocessing.
Homepage

https://www.udemy.com/course/qgis-from-a-to-z-complete-course-in-geoprocessing/

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Free Download Qradar An Alternative Introduction For Everyone
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 109.28 MB | Duration: 0h 47m
QRadar Basic Training For Newcomers

What you'll learn
Learning QRadar basics.
Learning cybersecurity stuff.
Enhancing your informatics education.
Getting tips to study better.
Requirements
Computer and speakers.
Description
Are you learning QRadar and want to get some introduction? Are you getting yourself into cybersecurity and want to get the basics? Then, THIS IS THE COURSE FOR YOU! Learning is a never ending process and you can do it now by using this training on QRadar at basic level. Learning cybersecurity has never been as easy as now with so much material online and here you will get an introduction on what QRadar is about. It is not needed that you are some sort of expert or actually skillful at QRadar so you can get started. This course is made for people with ZERO KNOWLEDGE on the topic. At the end of the day, the thing you really need is the will to learn and as much training as you can. That should be enough to get you started into cybersecurity and QRadar. There are many tools on the internet that many companies would be willing to hire in terms of the skills that you can get, and QRadar is surely one of the because companies do want their data and personal stuff properly protected: You can be that protection!Other than that, there is not too much else to add. Keep it going on and remember to study as hard as possible so that you become a real master of the world of informatics and QRadar if you are truly dedicated. See you within the lessons in this videocourse and bye bye!
Overview
Section 1: Intro
Lecture 1 Intro
Lecture 2 Working
Lecture 3 Strong
Lecture 4 This
Lecture 5 Powerful
Lecture 6 Indeed
Lecture 7 Awesome
Lecture 8 Remember
Lecture 9 Original
Lecture 10 Understand
Lecture 11 Advance
Lecture 12 Technically
Lecture 13 Tips
Lecture 14 Consider
Lecture 15 More
Lecture 16 Outstanding
Lecture 17 Almost
Lecture 18 End
Anybody who wants to learn QRadar.
Homepage

https://www.udemy.com/course/qradar-an-alternative-introduction-for-everyone/

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Free Download RAG with Azure OpenAI (AI Search, CosmosDB, GraphRAG & more)
Published 11/2024
Created by Kuljot Singh Bakshi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 41 Lectures ( 8h 28m ) | Size: 3.67 GB

RAG with Azure OpenAI, Vector Embeddings, Azure AI Search, Azure CosmosDB, GraphRAG, Copilot Studio, Azure AI Studio
What you'll learn
RAG (Retrieval Augmented Generation): Using Private Data with LLM
RAG with Azure AI Search
RAG with Azure CosmosDB
RAG with Azure OpenAI Studio
RAG with Azure AI Studio
RAG with Microsoft Copilot Studio
GraphRAG with Neo4j and Azure OpenAI
Requirements
Familiarity with Python Programming Language
Some experience working with Azure and Microsoft Cloud in General
General Software Engineering and development experience
Description
Unlock the power of Retrieval-Augmented Generation (RAG) with Azure OpenAI in this comprehensive Udemy course, designed for data professionals and AI enthusiasts eager to deepen their expertise in advanced AI techniques. This course provides hands-on insights into integrating RAG with various Azure services, enabling you to enhance knowledge retrieval within AI solutions.Learning Objectives:Master RAG with Azure AI Search:Learn how to enhance search capabilities and retrieve relevant data effectively within Azure's robust AI Search environment.Implement RAG with Azure CosmosDBiscover methods to store, manage, and query large datasets, optimizing information retrieval for high-performance applications.Leverage RAG in Azure AI Studio:Utilize RAG within Azure AI Studio to develop custom solutions in a powerful development environment with enhanced flexibility.Develop with RAG on Microsoft Copilot Studio:Gain skills to create intelligent applications using Microsoft Copilot Studio, making user interactions more engaging and insightful.Navigate Graph RAG with Neo4j:Understand graph-based data storage and retrieval, allowing you to analyze complex relationships within data through Neo4j.This course is packed with real-world applications, practical demonstrations, and code walkthroughs, equipping you with the knowledge to implement RAG across various Azure platforms and elevate your AI projects. Join now to gain in-demand skills and take your AI capabilities to the next level with RAG and Azure OpenAI!
Who this course is for
Curious Developers looking to build cool apps with Azure OpenAI and GenAI
Senior Software Engineers looking for GenAI application
Any curious person in general looking to skill-up and keep-up with the industry!
Homepage

https://www.udemy.com/course/rag-with-azure-openai-ai-search-cosmosdb-graphrag-more/

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Free Download Race Vehicle Concept Design - Blender, Photoshop, Illustrator & After Effects Workflow
Chris Beatty | Duration: 8:22 h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | 11,3 GB | Language: English
Design a near-future racing machine in this conceptual vehicle design workshop by veteran 3D artist and concept designer, Chris Beatty. Over the course of 8 hours, Chris guides artists through his entire design process, which he has honed over two decades of experience working in the industry designing high-profile concepts for motorsports such as for the world-famous Indy 500.
Chris shares his extensive knowledge, skills, and techniques with artists of all levels who are looking to master a practical "form follows function" creative process. Grounded in real-world engineering considerations, you'll learn how to style a race vehicle with a touch of science-fiction for added artistic license.
This workshop uses Blender as the primary production tool. Chris demonstrates his Blender modeling techniques to sculpt the vehicle's form, showing how to maintain maximum creative freedom throughout the process. He also details how to extend the commitment point as far as possible before reaching the final modeling and rendering stage. The creative process is also complemented by Adobe Creative Cloud's Photoshop, Illustrator, and After Effects.

By completing this workshop, you will develop a comprehensive understanding of how to create vehicle concepts that balance function and artistic flair, leading to greater believability in the final results. These principles can be applied to any vehicle genre, whether a real-world race car or your next spaceship project. You should emerge from this workshop feeling accomplished and knowledgeable in the art of vehicle design.
The Scene Asset Animated Environment, Bike In Studio, and Bike Studio Turntable are provided as learning resources with this workshop. All HDR images are sourced from HDRI Haven; the rigged body model was sourced from CGTrader, and the motorcycle shock absorber model also came from CGTrader.
Homepage

https://www.thegnomonworkshop.com/tutorials/race-vehicle-concept-design

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Free Download Radiology X-Ray of Elbow and Forearm
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 49m | Size: 615 MB
Mastering Elbow and Forearm X-Ray Interpretation: Positioning, Anatomy, and Pathology Essentials"

What you'll learn
How to obtain and interpret elbow and forearm X-rays: including AP, lateral, oblique, and specialized trauma views.
Anatomical knowledge of the elbow and forearm: covering normal structures, ossification centers, and key lines for accurate interpretation.
Identifying key radiographic signs and pathology: such as the sail sign, fat pad sign, and common fractures.
Understanding pediatric vs. adult elbow anatomy and pathology: with emphasis on growth plates and developmental differences
Mechanisms and classifications of fractures and injuries: including Monteggia, Galeazzi, and supracondylar fractures, and mechanisms specific to elbow and forea
Diagnosis and management of common elbow conditions: such as osteoarthritis, Little Leaguer's elbow, and tennis/golf elbow.
Practical skills for accurate X-ray positioning and trauma projection: to ensure proper image acquisition for diagnostic accuracy.
Requirements
Basic Knowledge of Human Anatomy: Familiarity with general musculoskeletal anatomy will help in understanding the elbow and forearm structures.
Understanding of Medical Imaging Basics: Prior exposure to radiology or other medical imaging concepts is helpful but not mandatory.
Clinical or Medical Background: Ideal for radiology students, medical professionals, or anyone with a healthcare background, though beginners with an interest in radiology can also benefit.
Access to a Device for Viewing High-Resolution Images: A tablet, laptop, or desktop is recommended for clearly viewing X-ray details and annotations.
Description
This Elbow and Forearm X-Ray Radiography course offers a comprehensive guide to understanding and interpreting X-rays of the elbow and forearm. Designed for radiology students, technologists, medical professionals, and anyone with an interest in musculoskeletal imaging, this course covers both foundational and advanced concepts essential for accurate diagnosis and patient care.Through step-by-step lessons, you'll learnositioning Techniques: Master AP, lateral, oblique, and trauma projections, ensuring high-quality, diagnostic images.Anatomical Understanding: Gain in-depth knowledge of the elbow and forearm anatomy, including joints, ossification centers, and typical anatomical variants.Identification of Key Radiographic Signs: Recognize important indicators such as the sail sign, fat pad sign, and elbow lines critical to diagnosis.Fracture Mechanisms and Classifications: Understand common fracture types-including radial head, supracondylar, and Monteggia fractures-and apply classification systems like the Mason classification for clinical accuracy.Specialized Topics in Trauma and Pathology: Distinguish between adult and pediatric injuries, and explore conditions like osteoarthritis, pulled elbow, and sports injuries (Little Leaguer's and tennis elbow).This course combines expert-led instruction with real case studies and practical exercises, equipping you with the skills to confidently analyze elbow and forearm radiographs. Whether you are looking to strengthen your diagnostic abilities or refine your radiographic techniques, this course provides essential knowledge for professionals in radiology, orthopedics, sports medicine, and emergency care.
Who this course is for
Radiology Students and Residents: Those looking to build a strong foundation in reading elbow and forearm X-rays.
Radiologic Technologists and Technicians: Professionals seeking to improve their image acquisition techniques and interpretation skills
Medical and Healthcare Professionals: Physicians, orthopedic practitioners, and emergency care providers who encounter elbow and forearm injuries and want to refine their diagnostic skills
Physiotherapists and Sports Medicine Specialists: Individuals who manage musculoskeletal conditions and benefit from understanding radiographic imaging of the elbow.
Anyone Interested in Radiography: Beginners or enthusiasts wanting to gain insights into elbow and forearm radiography, especially those interested in pursuing a career in medical imaging
This course is ideal for those who want a structured, practical approach to understanding elbow and forearm radiographs.
Homepage

https://www.udemy.com/course/radiology-x-ray-of-elbow-and-forearm/

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Free Download Railway Control Engineering Fundamentals (IRSE Module A)
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 149.32 MB | Duration: 0h 46m
Certificate in Railway Control Engineering Fundamentals (IRSE Professional Exam Module A) of the Advanced Diploma

What you'll learn
Train Control Terminology
Introduction to Railway Signalling
Fundamental Requirements of Train Control System
Train Detection
Basic of Interlocking
Dependability
Principle of Railway Safety Engineering
Train Protection
Operator Interfaces
Safe Train Separation
Telecom
Safety Engineering for Railway Control and Communication System
Metro Railways
Level Crossing
Railway Systems Management
Interfaces and interaction between Railway Control
Points
Point Maintenances and Remote condition monitoring
SIL (Safety Integrity Level)
Metro Train Control System
Requirements
Basic Understanding of Railway
Description
Certificate in Railway Control Engineering Fundamentals (IRSE Professional Exam Module A) of the Advanced Diploma in Railway Control Engineering1. Welcome and Course OverviewBrief Welcome: "Welcome to Railway Control Engineering Fundamentals, designed for professionals preparing for the IRSE Module A exam."Purpose of the Course: Highlight that the course covers the core concepts of railway control and communication systems. Emphasize its relevance for railway engineers, signaling professionals, and students aiming for a foundational understanding of these systems.Learning Goals: Summarize that by the end, learners will have a solid grasp of railway control principles, safety protocols, and essential technologies.2. Key Topics OverviewIntroduce the main topics with a brief outline:Introduction to Railway Signalling: Explain how signalling ensures train movements are safe and efficient, managing the flow of trains.Fundamental Requirements for Train Control Systems: Discuss the importance of meeting operational needs with safe, reliable, and cost-effective designs.Train Detection Systems: Cover:Track Circuits - Basics of track circuit functionality and their role in train detection.Axle Counters - An alternative detection method and how it operates independently of track conditions.Cab Signaling Systems: Introduce cab signaling, allowing drivers to receive real-time updates in the cab, enhancing safety.Interlocking Systems Basics: Explain how interlocking prevents conflicting train routes using systems of controls.Railway Safety Engineering: Discuss safety principles, hazard management, and the safety lifecycle in railway systems.Train Protection Systems: Introduce systems like the Automatic Train Protection (ATP) that automatically intervene to prevent unsafe situations.Operator Interfaces: Show how human-machine interfaces enable smooth communication between the control system and operators.Telecommunications in Railways: Explain telecom's role in real-time communications essential for railway operations.Level Crossing Systems: Describe various types of level crossing protection to safeguard road-rail intersections.Metro Railway and Urban Transit Systems: Explore unique considerations in high-frequency, urban environments.Railway System Management: Highlight management practices for maintaining system efficiency, reliability, and safety.Interface Management: Emphasize the importance of managing interfaces between systems to avoid interoperability issues.3. Teaching Methods and ApproachModular Learning: Explain that each topic is divided into modules for better understanding and ease of revision.Interactive Elements: Mention the use of quizzes, case studies, and examples from real railway systems to provide practical context.Visual Aids and Demonstrations: Describe the use of diagrams, animations, and system simulations to visualize complex concepts.4. Preparing for the IRSE Module A ExamExam Focus: Review the objectives and structure of the IRSE Module A exam.Study Tips: Provide tips for exam preparation, focusing on key areas like system safety, reliability, and technical terminology.5. Course ResourcesLecture Notes and Slides: Inform learners about downloadable slides and reference materials.Additional Reading and Practice Questions: Suggest further readings for deeper understanding, with optional practice questions on each topic.6. Closing Remarks and EncouragementHighlight Industry Relevance: Stress the significance of railway control engineering in advancing safer and more efficient rail networks globally.Encouragement: Motivate learners to actively participate, complete modules, and engage with questions for a rewarding learning journey.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Introduction to Railway Signaling
Lecture 2 Introduction to Railway Signalling
Lecture 3 Fundamental Requirements for a Train Control System
Section 3: Interlocking in Railway Signalling
Lecture 4 Introduction to Interlocking in Railway Signalling (Part-1)
Lecture 5 Mechanical Interlocking in Railways
Section 4: Safety Integrity Level (SIL)
Lecture 6 Safety Integrity Level (SIL)
Railway Signal Engineers
Homepage

https://www.udemy.com/course/railway-control-engineering-fundamentals-irse-module-a/

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Free Download Randalas Stage 1 - Visual Meditation - the art of relaxation
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 30m | Size: 3.13 GB
Grow your creative drawing skills, increase awareness and focus through Randalas Stage 1 Visual Meditation techniques.

What you'll learn
Learn how to use Randalas drawing techniques to improve your level of concentration.
Discover the relaxing energy of Randalas visual meditation techniques.
Create exciting and unique Randalas drawings.
Use your subconscious imagery to help you de-stress and relax.
Develop your drawing skills and confidence.
Requirements
Randalas Visual Meditation is suitable for any age or ability. No prior drawing experience is necessary. All that is required to succeed at drawing a Randalas is simply a piece of paper and preferably a thin black marker. However, any type of drawing equipment will be acceptable. For example a biro, pen or even a pencil will be a satisfactory replacement. Randalas can be drawn in any environment, anywhere at any time, yet creating a quiet space without interruption will help your success and progress.
Description
Stage 1 Randalas Visual Meditation offers absolutely anyone of any age or ability a chance to explore their inner thoughts. If you have ever struggled with traditional meditation techniques, Stage 1 Randalas will be perfect course for you. Stage 1 Randalas sets you up to succeed with simple drawing techniques. You will learn some basic mark making techniques and apply Randalas meditation approaches to feel more relaxed, develop greater focus, increase your concentration as well as improving your drawing confidence. Emphasis is placed on 'you time', creating and allowing yourself to take some time out of your busy schedule to stop, sit quietly, draw and listen carefully to your subconscious thinking.While at times tapping into our inner thoughts and feelings can be quite confronting, Randalas offer us a gentle way to explore these emotional states and beliefs, building greater understanding and making us more aware of our inner voice.The simple approach and techniques used for Randalas are very versatile and practical. Randalas Visual Meditation can be done anywhere and it is as easy as having a piece of paper and a pen at the ready at any time when it is needed. Importance is placed on short but consistent practise before moving forward onto Stage 2 Randalas.
Who this course is for
Even if you have never drawn before you can excel at making Randalas. People from 6yrs to 60yrs have enjoyed the powerful relaxing ability of Randalas. For those who have found traditional meditation challenging, Randalas will let you gently ease into the meditative mindset. Very quickly you will find yourself improving your concentration and ability to switch off and relax. In addition to this you will also improve your drawing skills and techniques.
Homepage

https://www.udemy.com/course/randalas-stage-1-visual-meditation-the-art-of-relaxation/

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Free Download Raspberry Pi - Make a Workbench Computer
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48KHz
Language: English | Size: 15.2 GB | Duration: 10h 58m
Build a touch-screen driven application and control appliances and devices using a Raspberry Pi
What you'll learn

Create graphical applications on the Raspberry Pi
Understand the basics of controlling mains appliances using relays
Learn how to use a low-cost relay board to control large loads with your Raspberry Pi
Understand how to use a relay board to control large loads with your Raspberry Pi
Control DC devices
Use the camera to take snapshots, interval snapshots and videos.
Create a Python application that allows you to control external devices and appliances, and interact with sensors
Manipulate still images and video taken by the Raspberry Pi camera
Design a driver circuit for the external relays
Control mains appliances safely
Create an enclosure for your mains controller circuit
Setup a remote working environment for your Raspberry Pi
Design a printed circuit board for the relay circuit
Requirements
A basic understanding of the Raspberry Pi
A basic understanding of electronics
Ability to install free software on your computer
Parts and tools, as listed in a free lecture in section 1
Description
** UPDATED SEPTEMBER 1, 2022 **
In this update I'll show you how to update the bench computer so that it runs on the latest currently available version of the Raspberry Pi operating system, which is version 11, nicknamed "Bullseye", along with the Python interpreter that comes with Bullseye, which is version 3.9.2.
The new content includes 15 new lectures (2 new hours of instruction) in two sections.
I have not changed the bench computer hardware in this update.
---------------------------------
** UPDATED JANUARY 31, 2018 **
The latest update includes a whole new section in which you will learn how to build your Raspberry Pi Bench Computer using a low cost relay board instead of the (hard to find) Piface Relay+. You will also learn how to use a GPIO breakout board that makes it very easy to secure wires to your Raspberry Pi.
---------------------------------
This Raspberry Pi project course will show you how to integrate a variety of components into a gadget that you can use to automate your work bench.
I call it "The Bench Computer".
With the Bench Computer, you will be able to control any device and appliance on your electronics work bench, like turn on and off your bench lights, soldering iron and fume extractor.
The Bench Computer provides a great framework on which you can build your own home automation projects Out of the box, you will be able to control anything with a simple on/off switch, like lights, fans, heaters etc.
I have designed this course to help you get started. What you get the Bench Computer to do is entirely up to you!
Here are the main components (software and hardware) that you will learn about by taking this course
The Raspberry Pi (I use a Raspberry Pi 3 Model B for historical reasons, you can also use a Raspberry Pi 4).
The Raspberry Pi 7-inch touchscreen.
The Raspberry Pi Camera v2.
The Piface Relay+ HAT (contains the small relays used to control 12V devices) OR a Keyestudio 4 Channel Relay board.
A GPIO board breakout.
Larger external relays used for controlling mains appliances like lights and your soldering iron.
Python 3 and the Tkinter framework for building the application.
Things that you want to control, like low-power 12V LED strips and fans, and mains appliances like a soldering iron.
Scroll further down for a list of learning objectives for this course.
All code is available on Github, and is free to download and use as you wish.
A list of parts is available in the first section of the course (free to view).
In 11 hours of video content and over 70 lectures, you will learn the necessary skills for interfacing you Raspberry Pi with your workbench.
Who this course is for
Anyone familiar with the Raspberry Pi looking to expand their skills
Anyone interested in home automation
Anyone looking for a challenging project
Homepage

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Free Download Raspberry Pi Pico Stepper Motor Interfacing
Published 11/2024
Created by Educational Engineering Team,Educational Engineering
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 5 Lectures ( 30m ) | Size: 200 MB

Learn to control stepper motors with precision using the Raspberry Pi Pico-from setup to advanced motion techniques in r
What you'll learn
Stepper Motor Basics - Understand the inner workings and benefits of stepper motors.
Configuring the Raspberry Pi Pico - Set up your Raspberry Pi Pico for controlling electronic components.
Hardware Integration - Properly wire your stepper motor and ensure reliable operation
Programming for Motor Control - Write Python code to control motor direction, speed, and rotations.
Advanced Motion Techniques - Explore methods like micro-stepping and speed management for smooth movements.
Error Handling and Optimization - Develop strategies to identify and fix common motor control issues.
Implementing Real-World Applications - Incorporate stepper motors into complex projects such as robotics and CNC systems.
Requirements
Raspberry Pi Pico with MicroPython setup.
Basic electronics knowledge and access to a computer for coding.
A stepper motor and appropriate motor driver (details provided in the course).
No prior experience with stepper motors or the Raspberry Pi Pico is necessary.
Description
Unleash the potential of your electronic and robotic projects by gaining in-depth control over stepper motors with the versatile Raspberry Pi Pico. Whether you're a hobbyist or a professional, this hands-on course is crafted to take you from complete beginner to proficient in stepper motor control. Through a mix of theory, practical coding, and hardware setup, you'll discover how stepper motors work, why they're essential in precision applications, and how to harness their potential for your projects.You'll begin by mastering the fundamentals of stepper motors, including how they differ from other motor types, then dive straight into the setup of your Raspberry Pi Pico for motor control. With step-by-step guidance, you'll learn how to wire the motor, write code to control its movement, and troubleshoot common issues to ensure smooth operation. This course will teach you key motor control concepts like managing speed, direction, and rotation, and will extend to advanced techniques like acceleration, deceleration, and micro-stepping for precision.By the end of the course, you'll have gained the confidence and skills to incorporate stepper motors into various applications, from robotics to CNC machines and beyond. This is your gateway to achieving precise and controlled movement in your projects.Key Featuresractical Hands-On Projects - Apply concepts immediately through guided, real-world exercises.Comprehensive Troubleshooting Guides - Identify and resolve common motor control issues.Advanced Control Techniques - Learn professional techniques like micro-stepping and acceleration.Testimonials"This course demystified stepper motor control for me. The explanations are clear, and I loved the real-world examples. My robotics project has never been smoother!"- Alex T., Robotics Enthusiast"I was new to the Raspberry Pi Pico, but this course made it easy to get started. I now have the confidence to add stepper motors to my projects with ease!"- Priya M., Engineering Student"The troubleshooting section alone was worth it. I've taken other motor control courses, but none covered the details as well as this one."- Jordan K., Electronics HobbyistCall to Action:Ready to bring precise motor control to your projects? Enroll Now and take the first step toward mastering stepper motor control with the Raspberry Pi Pico!What You Will Learn:Stepper Motor Basics - Understand the inner workings and benefits of stepper motors.Configuring the Raspberry Pi Pico - Set up your Raspberry Pi Pico for controlling electronic components.Hardware Integration - Properly wire your stepper motor and ensure reliable operation.Programming for Motor Control - Write Python code to control motor direction, speed, and rotations.Advanced Motion Techniques - Explore methods like micro-stepping and speed management for smooth movements.Error Handling and Optimization - Develop strategies to identify and fix common motor control issues.Implementing Real-World Applications - Incorporate stepper motors into complex projects such as robotics and CNC systems.Who Is This Course For?Electronics Hobbyists and Makers looking to add precision motor control to their creations.Students and Educators in electronics or robotics wanting a practical project to explore.Engineers and Technicians interested in expanding their motor control knowledge for various applications.Robotics Enthusiasts who want to integrate stepper motors for accurate, controlled movement in their projects.Beginners with Microcontrollers looking for a comprehensive, practical introduction to the Raspberry Pi Pico.Requirements:Raspberry Pi Pico with MicroPython setup.Basic electronics knowledge and access to a computer for coding.A stepper motor and appropriate motor driver (details provided in the course).No prior experience with stepper motors or the Raspberry Pi Pico is necessary.
Who this course is for
Electronics Hobbyists and Makers looking to add precision motor control to their creations.
Students and Educators in electronics or robotics wanting a practical project to explore.
Engineers and Technicians interested in expanding their motor control knowledge for various applications.
Robotics Enthusiasts who want to integrate stepper motors for accurate, controlled movement in their projects.
Beginners with Microcontrollers looking for a comprehensive, practical introduction to the Raspberry Pi Pico.
Homepage

https://www.udemy.com/course/raspberry-pi-pico-stepper-motor-interfacing/

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Free Download React - Creating and Hosting a Full-Stack Site (2024)
Released 11/2024
With Shaun Wassell
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 4h 9m 10s | Size: 575 MB

Learn how to combine React, Node.js, and Amazon Web Services (AWS) in a full-stack, full-featured website.
Course details
You've learned React and can create amazing front-end interfaces. But deploying them requires more. You need logic-and a place to put it. By combining your front-end UI with a back-end solution and cloud hosting, you can build powerful and interactive full-stack applications. In this project-based course, Shaun Wassell shows how to combine React, Node.js, and Amazon Web Services (AWS) in a full-stack, full-featured website, including user-friendly forms for posting articles and comments. Learn how to create an interface from React components, develop a Node.js server, tie in a MongoDB database, add user authentication with Firebase Auth, and deploy your site on Amazon Web Services. Join Shaun in this course to gain the skills to take your client services to the next level: full-stack web applications that are truly interactive.
Homepage

https://www.linkedin.com/learning/react-creating-and-hosting-a-full-stack-site-24928483

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Free Download Reactive Programming With Java And Project Reactor
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1017.74 MB | Duration: 3h 23m
Learn the core principles of reactive programming, the foundation of Spring WebFlux's reactive stack.

What you'll learn
Essential principles of reactive programming and reactive systems
Concepts of Reactive Streams that serve as a foundation for reactive programming
Using Project Reactor with Java to create projects
How to use creation, transformation, and filtering operators in Project Reactor
How to handle error scenarios in reactive programming
How to combine data streams with operators
Using Schedulers with reactive programming
Backpressure strategies
Requirements
Intermediate knowledge in Java
Knowledge of the Java 8 Streams API
Description
In this practical and focused course, you'll learn about Reactive Programming with a focus on Project Reactor, a widely recognized Java library that simplifies building reactive, non-blocking systems.This course is designed for software developers who want to enhance their skills in reactive programming and explore Project Reactor as a powerful tool. It's ideal for Java developers and anyone interested in creating highly responsive and efficient systems.You'll learn about reactive data streams, handling concurrency, error management, and more. By the end of the course, you'll have a solid understanding of reactive programming.What You Will Learn:Core Concepts: Explore the essential principles of reactive programming, including reactive systems, synchronous and asynchronous flows, non-blocking operations, and event propagation in data streams.Reactive Streams: Dive into Reactive Streams, which provide the foundation for reactive programming, enabling applications to dynamically react to events and data flows.Introduction to Project Reactor: Discover Project Reactor, getting to know its key components like Flux and Mono, and learn how to use them to create reactive applications.Creation Operators: Explore Project Reactor's creation operators, which let you generate reactive data streams from various sources, such as collections, expanding your options for building reactive applications.Operators: Learn how to apply transformation and filter operators to shape reactive data streams to fit your needs.Combining Streams: Understand how to combine, merge, and aggregate data streams efficiently.Error Handling: Learn effective strategies for error handling and recovery in reactive environments.Schedulers: Understand the importance of Schedulers in reactive programming and learn how to manage concurrency and optimize task execution for efficient systems.Backpressure: Learn to manage backpressure, a key technique to ensure data streams are processed efficiently, preventing overload.
Overview
Section 1: Introduction
Lecture 1 About the Course and Prerequisites
Lecture 2 Course Materials
Section 2: Important Concepts
Lecture 3 Traditional System vs Reactive System
Lecture 4 Reactive Manifesto
Lecture 5 Core Principles of Reactive Programming
Lecture 6 Summary
Lecture 7 Want to Learn More About the Event Loop?
Section 3: Reactive Streams
Lecture 8 Introduction
Lecture 9 Implementing the Publisher
Lecture 10 Implementing the Subscriber
Lecture 11 Implementing the Subscription
Lecture 12 Running the Example
Lecture 13 Summary
Section 4: Introduction to Project Reactor
Lecture 14 What is Project Reactor?
Lecture 15 Implementing Project Reactor 1
Lecture 16 Implementing Project Reactor 2
Lecture 17 Summary
Section 5: Creation Operators
Lecture 18 Understanding How Operators Work
Lecture 19 Basic Creation Operators
Lecture 20 Flux().create() Operator
Lecture 21 Flux().create() Operator in Practice
Lecture 22 Flux().generate() Operator
Lecture 23 Flux().generate() Operator in Practice
Lecture 24 Summary
Section 6: Operators
Lecture 25 How the take() Operator Works in a Stream
Lecture 26 take() and takeWhile() Operators
Lecture 27 map() Operator
Lecture 28 flatMap() Operator - Part 1
Lecture 29 flatMap() Operator - Part 2
Lecture 30 filter() Operator
Lecture 31 delayElements() Operator
Lecture 32 transform() Operator
Lecture 33 Side Effects Operators
Lecture 34 Summary
Section 7: Combining Streams with Operators
Lecture 35 concat Operator
Lecture 36 merge() Operator
Lecture 37 zip() Operator
Lecture 38 Summary
Section 8: Error Handling
Lecture 39 onErrorReturn Operator
Lecture 40 onErrorResume Operator
Lecture 41 onErrorContinue Operator
Lecture 42 onErrorComplete Operator
Lecture 43 onErrorMap Operator
Lecture 44 isEmpty and defaultIfEmpty Operators
Lecture 45 retry and retryWhen Operator
Lecture 46 Summary
Section 9: Schedulers
Lecture 47 Example of Blocking Operation
Lecture 48 How Schedulers Work
Lecture 49 Using Schedulers in Practice
Lecture 50 Parallel Processing with Schedulers
Lecture 51 Parallel Processing with Schedulers in Practice
Lecture 52 Summary
Section 10: Backpressure
Lecture 53 onBackpressureBuffer Strategy: Part 1
Lecture 54 onBackpressureBuffer Strategy: Part 2
Lecture 55 onBackpressureError Strategy
Lecture 56 onBackpressureDrop Strategy
Lecture 57 onBackpressureLatest Strategy
Lecture 58 Defining Backpressure Strategy in the Flux.create() Operator
Lecture 59 Summary
Section 11: Hot and Cold Publisher
Lecture 60 Difference Between a Cold Publisher and a Hot Publisher
Lecture 61 Creating a Hot Publisher with the autoConnect() Operator
Lecture 62 Creating a Hot Publisher with the autoConnect(n) Operator
Lecture 63 Creating a Hot Publisher with the share() and refCount() Operators
Lecture 64 Summary
People interested in starting with reactive programming in Java.,Developers who want to learn about Project Reactor before diving into WebFlux to build a stronger foundation.,Java developers and anyone interested in building highly responsive and efficient systems.
Homepage

https://www.udemy.com/course/reactive-programming-with-java-and-project-reactor/

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