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Causal Inference in Python: Applying Causal Inference in the Tech Industry

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Causal Inference in Python: Applying Causal Inference in the Tech Industry

Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming

Applying Math with Python: Over 70 practical recipes for solving real-world computational math problems, 2nd Edition

Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

Asynchronous Programming in Python: Apply asyncio in Python to build scalable, high-performance apps across multiple scenarios

ISE Applied Numerical Methods with Python for Engineers and Scientists

Hands-On Genetic Algorithms with Python: Apply genetic algorithms to solve real-world AI and machine learning problems

Biostatistics with Python: Apply Python for biostatistics with hands-on biomedical and biotechnology projects

Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries

MATH & PYTHON: SOLUTIONS FOR 200 MATH PROBLEMS WITH PYTHON

Applied Supervised Learning with Python: Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning

Applied Time Series Analysis and Forecasting with Python (Statistics and Computing)

PYTHON FOR ENGINEERS: Applied Programming in Engineering Fields

Python Programming and Numerical Methods: A Guide for Engineers and Scientists

Applied Computational Thinking with Python: Algorithm design for complex real-world problems

Node.js Design Patterns: Level up your Node.js skills and design production-grade applications using proven techniques

Python Tricks: A Buffet of Awesome Python Features

Learn A Lot While You Sit On The Pot: Fascinating Trivia and Fun Facts About Science, History, Sports, Pop Culture, Technology, Mind Puzzles, and So Much More!

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python applied

Causal Inference in Python: Applying Causal Inference in the Tech Industry

Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming

Applying Math with Python: Over 70 practical recipes for solving real-world computational math problems, 2nd Edition

Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

Asynchronous Programming in Python: Apply asyncio in Python to build scalable, high-performance apps across multiple scenarios

ISE Applied Numerical Methods with Python for Engineers and Scientists

Hands-On Genetic Algorithms with Python: Apply genetic algorithms to solve real-world AI and machine learning problems

Biostatistics with Python: Apply Python for biostatistics with hands-on biomedical and biotechnology projects

Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries

MATH & PYTHON: SOLUTIONS FOR 200 MATH PROBLEMS WITH PYTHON

Applied Supervised Learning with Python: Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning

Applied Time Series Analysis and Forecasting with Python (Statistics and Computing)

PYTHON FOR ENGINEERS: Applied Programming in Engineering Fields

Python Programming and Numerical Methods: A Guide for Engineers and Scientists

Applied Computational Thinking with Python: Algorithm design for complex real-world problems

Node.js Design Patterns: Level up your Node.js skills and design production-grade applications using proven techniques

Python Tricks: A Buffet of Awesome Python Features

Learn A Lot While You Sit On The Pot: Fascinating Trivia and Fun Facts About Science, History, Sports, Pop Culture, Technology, Mind Puzzles, and So Much More!

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