Getting Started with the JupyterLab 3 IDE (Windows)

Channel:
Philip Yip
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Published on ● Video Link: https://www.youtube.com/watch?v=r7o1eiwOhc4


Duration: 49:36
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JupyterLab is one of the most popular IDEs for data science due to its capabilities to create text files, markdown files, create Python Script Files run Python code. Finally it bridges all of these capabilities with an Interactive Python Notebook.

In this video I install the latest version of the JupyterLab 3 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 Mambaforge is used in preference to Anaconda, because the Anaconda channel is outdated compared to the community channel.

Written Install Instructions:
https://github.com/PhilipYip1988/python-tutorials#readme

Mamba Install Command:
mamba install jupyterlab python=3.11 cython seaborn scikit-learn sympy openpyxl xlrd xlsxwriter lxml sqlalchemy nodejs ipywidgets plotly jupyterlab-variableinspector ipympl pyqt

00:00 Introduction and Written Guide
00:42 Purging Old Python Installations (Optional). Remove Anaconda/Miniconda/Mambaforge/MiniForge/Python and use Mambaforge to manage Python Environments
02:38 Mambaforge Install
03:40 The base Python Environment
04:23 Updating the base Python Environment
05:00 Setting up a Python Environment forJupyterLab Installation
08:18 Launching JupyterLab
08:31 File Explorer
09:02 The Launcher
09:17 Text File
09:52 Markdown File
10:12 Markdown Headings, Formatting (Italic, Bold, Strikethrough), Bullet Points, Tables, Code, Seperator
12:05 Markdown Links and Images
14:42 Markdown math (MathJax Latex subset)
19:48 Base vs JupyterLab Python Environments
20:36 Python Script File
20:55 IPython Console
21:02 Python Syntax Highlighting
21:18 Python Docstrings popup balloon
21:38 Variable Inspector
24:22 Identifiers and Directory
24:45 Standard Module Example
26:05 Scientific Libraries
29:40 Plotting Libraries
31:13 Configuring the IPython Console Magic for MatPlotLib
33:18 Using the Terminal to run a Python Script File
34:28 The Debugger
40:22 The Interactive Python Notebook
43:35 Plot Backends
44:50 Plotly Browser Based Python Plotting Libraries
46:25 Opening Files
48:28 Show Contextual Help

#Python #JupyterLab #windows



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