Getting Started with the Spyder 5 IDE (Windows)

Channel:
Philip Yip
Subscribers:
7,760
Published on ● Video Link: https://www.youtube.com/watch?v=fvQX0wRExCI


Game:
Spyder (2020)
Duration: 34:08
1,065 views
11

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 Mambaforge is used in preference to Anaconda, because the Anaconda channel has an outdated version of Spyder.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



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