13 Beginner-Friendly Python IDEs Compared in 2024: Jupyter Lab, VS Code, PyCharm, Wing, Zed and More

In this video, we delve into various options for developing Python code tailored for scientific and engineering applications, focusing on beginner-friendly, free solutions that work right out of the box.
We begin with an extensive list of 13 Integrated Development Environments (IDEs) including Jupyter Notebook, JupyterLab, PyCharm, Wing IDE, Zed, Spyder, Google Colab, Project IDX, VS Code, GitHub Codespaces, and Anaconda Cloud. Each IDE is evaluated based on critical criteria such as ease of setup and usability to determine which ones best meet the needs of beginners.
➡️ Our discussion covers detailed pros and cons of each option, providing viewers with essential insights into the unique features and potential limitations of these popular tools. Join us as we explore these diverse environments, helping you understand the nuances of each IDE and making it easier for you to choose the right tool for your Python programming needs. Whether you are new to programming or transitioning to Python for your scientific and engineering projects, this video series is your go-to resource for making an informed decision.

Stay tuned to find out which IDEs make the final cut for beginners. Subscribe, like, and hit the bell for updates on this enlightening journey through the world of Python IDEs.

▬ Video Chapters ▬▬▬▬
00:00 Introduction to Python Development Options
00:50 Criteria for Choosing an IDE
01:35 Eliminating PyCharm and Wing IDE
02:14 Evaluating Zed IDE
03:05 Exploring Online Interpreters
04:06 Issues with Google Colab
06:43 Project IDX
07:25 VS Code.dev
08:55 Github code spaces
12:47 Reviewing Spyder IDE
14:48 Jupyter Notebook vs. JupyterLab
15:37 JupyterLab Classic vs. Desktop
17:19 Getting Started with Programming
17:25 Conclusion and Next Steps

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Led by computational physicist Dr. Maurice Maurer (TU Munich Ph.D.), Training Scientists offers specialized Python courses for researchers and engineers. Our curriculum covers scientific data analysis, visualization, and performance optimization, available through self-paced or interactive formats. With 20+ years of programming experience and work at UCLA and Max Planck Institute, Dr. Maurer brings real-world expertise to help you advance your scientific programming skills.

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