Boost Your Python Coding with VSCode and Anaconda скачать в хорошем качестве

Boost Your Python Coding with VSCode and Anaconda

Welcome to data decode tutorial on enhancing your Python coding productivity using VScode and Anaconda! In this video, we'll walk you through the step-by-step process of setting up your development environment to maximize efficiency and streamline your workflow. About Me: I am Kashyap Parmar, I have done M.Tech from IIT Hyderabad in AI Specialization, I am a Reliance Scholarship holder and I love AI, ML and Coding... 🖥️ Here's what we'll cover: 1. Installing Python: We'll start by showing you how to install Python on your system, ensuring you have the necessary tools to run Python code. 2. Testing in IDLE: We'll demonstrate how to test your Python code using IDLE, Python's built-in integrated development environment (IDE), to ensure everything is functioning correctly. 3. Creating Virtual Environments: Next, we'll dive into the importance of virtual environments and how to create and manage them using Python's venv module. 4. Installing VScode: We'll guide you through the process of installing Visual Studio Code (VScode), a powerful and customizable code editor that will significantly enhance your coding experience. 5. Installing Anaconda: You'll learn how to install Anaconda, a Python distribution that comes bundled with a comprehensive suite of tools for data science and machine learning. 6. Testing Anaconda Installation: We'll verify that Anaconda is installed correctly and explore some of its key features. 7. Connecting VScode with Anaconda: We'll show you how to integrate VScode with Anaconda, leveraging its powerful features directly within the VScode environment. 8. Creating Virtual Environments in Anaconda Navigator: You'll discover how to create and manage virtual environments effortlessly using Anaconda Navigator, a graphical user interface for managing Anaconda packages and environments. 9. Running Python Code in a New Environment: Finally, we'll demonstrate how to run your Python code in a newly created virtual environment, ensuring isolation and reproducibility. 10. By the end of this tutorial, you'll have a solid understanding of how to set up and optimize your Python development environment using VScode and Anaconda, enabling you to write code more efficiently and effectively. Don't forget to smash that like button 👍, share with your friends 🔗, and hit subscribe for more awesome tutorials on Python programming and software development tips! 🐍💻 Let's dive in and supercharge your Python coding productivity together. 💥🚀 Follow us on : Instagram ➡️   / data.decode   Twitter/X ➡️ https://x.com/data_decode chapters: 0:00 Introduction 0:17 Python Install & Test 02:38 Creating Virtual Environments 03:04 Install VSCode 04:03 Install Anaconda 06:19 Connect VS-Code & Anaconda 07:13 Run the code 08:24 Virtual Environment in Anaconda & Final Run