Getting Started with the Spyder 5 IDE (Linux and Mac)
6Spyder 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 Linux (Ubuntu 23.04). Mambaforge is used in preference to Anaconda, because the Anaconda channel has an outdated version of Spyder.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
Mamba Install Command:
mamba install spyder=5.4.2 python=3.11 cython seaborn scikit-learn sympy openpyxl xlrd xlsxwriter lxml sqlalchemy
00:00 Introduction and Written Guide
00:33 Purging old Python Distribution Installations (Anaconda, Mambaforge, Miniconda, Miniforge)
02:08 Mambaforge Install
03:46 The base Python Environment
04:24 Updating the base Python Environment
05:22 Setting up a Python Environment for Spyder Installation
09:15 Launching Spyder
10:42 Checking Dependencies
10:50 Spyder Theme
11:20 Script Editor
11:41 Files Pane
12:13 Cells and Comments
13:03 Run Code, Cell or Selection
13:33 Inbuilt Python Datatypes on Variable Explorer
16:35 Function Docstrings
17:28 Python Standard Module Import
18:04 Scientific Libraries Import
19:08 Scientific Python Datatypes on Variable Explorer
21:44 Plot Pane and Plot Backend (Inline and Automatic)
23:00 Restarting the Kernel
23:08 Creating and Calling a Python Function
24:18 Spyder Debugger
Support for Spyder is available on GitHub:
https://github.com/spyder-ide/spyder/issues
#spyder #python #linux
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