Python

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Table of Contents

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Sections

• Packages
• Data Science from Scratch 2e

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Resources

Online

• https://pythonspeed.com/articles/cpu-thread-pool-size/

• [ o ] “Python Projects with Source Code”

YouTube

freeCodeCamp

• [ y ] 11-22-2023 “Machine Learning with Python and Scikit-Learn – Full Course”.

• [ y ] 07-18-2023 “Python Tkinter GUI Design Using ttkbootstrap - Complete Course”.

More

• [ y ] 04-03-2024 bytelegendshub. “The Complete Process of Making & Sharing Your Python Package Online”.

• [ y ] 09-03-2022 Coder Space. “Let’s code 3D Engine in Python. OpenGL Pygame Tutorial”.

• [ y ] 04-17-2024 Corey Schafer. “Python Tutorial: Securely Manage Passwords and API Keys with DotEnv”.

• [ y ] 04-24-2020 ForrestKnight. “The Python Open Source Computer Science Degree”.

• [ y ] 11-24-2023 Python Simplified. “Simple Machine Learning GUI App with Taipy and Tensorflow”.

• [ y ] 02-20-2022 Tech With Tim. “Planet Simulation In Python - Tutorial”.

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Texts

• Jolowicz, Claudio. (2024). Hypermodern Python Tooling: Building Reliable Workflows for an Evolving Python Ecosystem. O’Reilly.

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Library

• [ h ] base64

• [ h ] binascii

• [ h ] uu

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Packages

• [ h ][ d ][ g ][ c ][ p ][ w ] AIOHTTP

• [ h ][ d ][ g ][ c ][ p ][ w ] Alpaca

• [ h ][ d ][ g ][ c ][ p ][ w ] Altair

• [ h ][ d ][ g ][ c ][ p ][ w ] Arch

• [ h ][ d ][ g ][ c ][ p ][ w ] Beautiful Soup

• [ h ][ d ][ g ][ c ][ p ][ w ] Bit

• [ h ][ d ][ g ][ c ][ p ][ w ] Black

• [ h ][ d ][ g ][ c ][ p ][ w ] Bokeh

• [ h ][ d ][ g ][ c ][ p ][ w ] Boto3

• [ h ][ d ][ g ][ c ][ p ][ w ] calplot

• [ h ][ d ][ g ][ c ][ p ][ w ] Click

• [ h ][ d ][ g ][ c ][ p ][ w ] Cookiecutter

• [ h ][ d ][ g ][ c ][ p ][ w ] Cufflinks

• [ h ][ d ][ g ][ c ][ p ][ w ] CuPy

• [ h ][ d ][ g ][ c ][ p ][ w ] cvxopt

• [ h ][ d ][ g ][ c ][ p ][ w ] Cython

• [ h ][ d ][ g ][ c ][ p ][ w ] Dask

• [ h ][ d ][ g ][ c ][ p ][ w ] Dash

• [ h ][ d ][ g ][ c ][ p ][ w ] Django

• [ h ][ d ][ g ][ c ][ p ][ w ] Fabric

• [ h ][ d ][ g ][ c ][ p ][ w ] Fire (google)

• [ h ][ d ][ g ][ c ][ p ][ w ] Flake8

• [ h ][ d ][ g ][ c ][ p ][ w ] Flask

• [ h ][ d ][ g ][ c ][ p ][ w ] Flask-PyMongo

• [ h ][ d ][ g ][ c ][ p ][ w ] HoloViews

• [ h ][ d ][ g ][ c ][ p ][ w ] HoloViz

• [ h ][ d ][ g ][ c ][ p ][ w ] hvPlot

• [ h ][ d ][ g ][ c ][ p ][ w ] Ibis

• [ h ][ d ][ g ][ c ][ p ][ w ] Imbalanced-Learn

• [ h ][ d ][ g ][ c ][ p ][ w ] IPyKernel

• [ h ][ d ][ g ][ c ][ p ][ w ] IPyMpl

• [ h ][ d ][ g ][ c ][ p ][ w ] IPython

  • Tutorial

  • Helpful Commands

  • Magic Functions

• [ h ][ d ][ g ][ c ][ p ][ w ] IPyWidgets

• [ h ][ d ][ g ][ c ][ p ][ w ] Jupyter Lab

• [ h ][ d ][ g ][ c ][ p ][ w ] Jupyter Notebook

• [ h ][ d ][ g ][ c ][ p ][ w ] jupyter-dash

• [ h ][ d ][ g ][ c ][ p ][ w ] jupyter-gmaps

• [ h ][ d ][ g ][ c ][ p ][ w ] jupyterlab-widgets

• [ h ][ d ][ g ][ c ][ p ][ w ] Keras

• [ h ][ d ][ g ][ c ][ p ][ w ] lxml

• [ h ][ d ][ g ][ c ][ p ][ w ] Manim

• [ h ][ d ][ g ][ c ][ p ][ w ] Matplotlib

• [ h ][ d ][ g ][ c ][ p ][ w ] Mezzanine

• [ h ][ d ][ g ][ c ][ p ][ w ] Mpmath

• [ h ][ d ][ g ][ c ][ p ][ w ] MyPy

• [ h ][ d ][ g ][ c ][ p ][ w ] nbconvert

• [ h ][ d ][ g ][ c ][ p ][ w ] nbformat

• [ h ][ d ][ g ][ c ][ p ][ w ] NLTK

• [ h ][ d ][ g ][ c ][ p ][ w ] Numba

• [ h ][ d ][ g ][ c ][ p ][ w ] NumExpr

• [ h ][ d ][ g ][ c ][ p ][ w ] NumPy

  • Learn

  • Cheatsheet (Datacamp)

  • Cheatsheet (Dataquest)

• [ h ][ d ][ g ][ c ][ p ][ w ] numpy-financial

• [ h ][ d ][ g ][ c ][ p ][ w ] OAuthLib

• [ h ][ d ][ g ][ c ][ p ][ w ] OpenAI

• [ h ][ d ][ g ][ c ][ p ][ w ] OpenCV

• [ h ][ d ][ g ][ c ][ p ][ w ] OpenPyXL

• [ h ][ d ][ g ][ c ][ p ][ w ] Pandas

  • User Guide

    • Indexing and selecting data

      • Returning a view versus a copy

    • Reshaping and pivot tables

      • Computing indicator / dummy variables

    • Time series / date functionality

  • Getting Started

  • Community Tutorials

  • Cheatsheet

• [ h ][ d ][ g ][ c ][ p ][ w ] Pandoc

• [ h ][ d ][ g ][ c ][ p ][ w ] Panel

• [ h ][ d ][ g ][ c ][ p ][ w ] Plotly

• [ h ][ d ][ g ][ c ][ p ][ w ] plotly-calplot

• [ h ][ d ][ g ][ c ][ p ][ w ] Polars

• [ h ][ d ][ g ][ c ][ p ][ w ] Pooch

• [ h ][ d ][ g ][ c ][ p ][ w ] prettytable

• [ h ][ d ][ g ][ c ][ p ][ w ] Prophet

• [ h ][ d ][ g ][ c ][ p ][ w ] Psycopg2

• [ h ][ d ][ g ][ c ][ p ][ w ] PyBroker

• [ h ][ d ][ g ][ c ][ p ][ w ] PyCaret

• [ h ][ d ][ g ][ c ][ p ][ w ] Pydantic

• [ h ][ d ][ g ][ c ][ p ][ w ] Pygments

• [ h ][ d ][ g ][ c ][ p ][ w ] PyMongo

• [ h ][ d ][ g ][ c ][ p ][ w ] PyTest

• [ h ][ d ][ g ][ c ][ p ][ w ] PyTorch

• [ h ][ d ][ g ][ c ][ p ][ w ] PyViz

  • [ y ] Anaconda. (2018). “PyViz: Dashboards for Visualizing 1 Billion Datapoints in 30 Lines of Python”.

• [ h ][ d ][ g ][ c ][ p ][ w ] QuantStack

• [ h ][ d ][ g ][ c ][ p ][ w ] Questionary

• [ h ][ d ][ g ][ c ][ p ][ w ] Requests

• [ h ][ d ][ g ][ c ][ p ][ w ] Requests-OAuthLib

• [ h ][ d ][ g ][ c ][ p ][ w ] RPy2

• [ h ][ d ][ g ][ c ][ p ][ w ] SchemDraw

• [ h ][ d ][ g ][ c ][ p ][ w ] Scikit-Learn

• [ h ][ d ][ g ][ c ][ p ][ w ] Scikit-Surprise

• [ h ][ d ][ g ][ c ][ p ][ w ] SciPy

  • Lecture Notes

  • Cookbook

  • Cheatsheet (Datacamp)

  • https://mmas.github.io/least-squares-fitting-numpy-scipy

  • https://mmas.github.io/interpolation-scipy

  • https://mmas.github.io/optimization-scipy

• [ h ][ d ][ g ][ c ][ p ][ w ] ScraPy

• [ h ][ d ][ g ][ c ][ p ][ w ] Seaborn

• [ h ][ d ][ g ][ c ][ p ][ w ] Selenium

• [ h ][ d ][ g ][ c ][ p ][ w ] SimPy

• [ h ][ d ][ g ][ c ][ p ][ w ] SpaCy

• [ h ][ d ][ g ][ c ][ p ][ w ] Splinter

• [ h ][ d ][ g ][ c ][ p ][ w ] SQLAlchemy

• [ h ][ d ][ g ][ c ][ p ][ w ] Statsmodels

• [ h ][ d ][ g ][ c ][ p ][ w ] SymPy

• [ h ][ d ][ g ][ c ][ p ][ w ] TensorFlow

• [ h ][ d ][ g ][ c ][ p ][ w ] Voila

  • Blog

• [ h ][ d ][ g ][ c ][ p ][ w ] Web3

• [ h ][ d ][ g ][ c ][ p ][ w ] webdriver-manager

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