A Hands-On Introduction to Essential Python Libraries and Frameworks

Essential Python libraries and frameworks that every aspiring data scientist, ML engineer, and Python developer should know.

“Python is not just a language, it’s a community where developers can learn, collaborate and create wonders.”

~ Guido van Rossum (Creator of Python)

The following libraries and frameworks are covered in this book:

A BRIEF HISTORY OF PYTHON PROGRAMMING LANGUAGE

DATA SCIENCE

• PANDAS
• NUMPY
• SEABORN
• SCIPY
• MATPLOTLIB

MACHINE LEARNING

• SCIKIT-LEARN
• PYTORCH
• TENSORFLOW
• XGBOOST
• LIGHTGBM
• KERAS
• PYCARET

MLOPS

• MLFLOW
• KUBEFLOW
• ZENML

EXPLAINABLE AI

• SHAP
• LIME
• INTERPRETML

TEXT PROCESSING

• SPACY
• NLTK
• TEXTBLOB
• CORENLP
• GENSIM
• REGEX

IMAGE PROCESSING

• OPENCV
• SCIKIT-IMAGE
• PILLOW
• MAHOTAS
• SIMPLEITK

WEB FRAMEWORK

• FLASK
• FASTAPI
• DJANGO
• DASH
• PYRAMID

WEB SCRAPING

• BEAUTIFULSOUP
• SCRAPY
• SELENIUM

A PRIMER TO THE 42 MOST COMMONLY USED MACHINE LEARNING ALGORITHMS (WITH CODE SAMPLES)
MINDFUL AI
INSIDE ALAN TURING: QUOTES & CONTEMPLATIONS