Spyder is the Scientific Python Development Environment. It is one of the most popular IDEs for data science due to its powerful visualisation capabilities. In this video I install the latest version of the Spyder 5 IDE, Python 3.11 and the Scientific Python Libraries in a Python Environment using Mambaforge on Windows 11 (22H2). Mambaforge is used in preference to Anaconda, because the Anaconda channel has an outdated version of Spyder. Written Installation Instructions: https://github.com/PhilipYip1988/python-tutorials#readme Linux/Mac Video: https://www.youtube.com/watch?v=0Mr_3o_uhw4 Mamba Install Command: mamba install spyder=5.4.2 python=3.11 cython seaborn scikit-learn sympy openpyxl xlrd xlsxwriter lxml sqlalchemy 00:00 Purging old Python Installations (Optional). Remove Anaconda/Miniconda/Mambaforge/MiniForge/Python/Spyder and use Mambaforge to manage Python Environments 01:32 Introduction and Written Guide 01:53 Mambaforge Install 02:47 The base Python Environment 03:28 Updating the base Python Environment 04:19 Setting up a Python Environment for Spyder Installation 08:22 Launching Spyder 08:43 Checking Dependencies 08:54 Spyder Theme and Preferences 10:48 Script Editor 11:02 Files Pane 11:38 Cells and Comments 12:17 Run Code, Cell or Selection 12:59 Python Builtins Instances on Variable Explorer 16:02 Function Docstrings and Help Pane 17:40 Python Standard Module Import 19:29 Scientific Libraries Import 21:01 NumPy Arrays, Pandas Series and Pandas DataFrames on Variable Explorer 26:08 Plot Pane and Plot Backend (Inline and Automatic/Qt5) 26:58 Restarting the Kernel 28:45 Creating and Calling a Python Function 30:44 Spyder Debugger 33:12 Wrap Up Support for Spyder is available on GitHub: https://github.com/spyder-ide/spyder/issues Ensure to favourite the project on GitHub. #spyder #python #windows