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Python

  1. A Hands-On Introduction to Essential Python Libraries and Frameworks (With Code Samples)

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

  2. TLDR: Data Structures and Algorithms
    TLDR: Data Structures and Algorithms
    From Knowing Python to Cracking Leetcode Patterns
    John G

    A book designed to help you transition from merely knowing Python to cracking Leetcode patterns. This book explains core DSA concepts through clear, intuitive analogies and walks you through the most important Leetcode patterns. If you're aiming to ace your next coding interview, this is the book I wish I had when I started.

  3. MOST COMMON MISTAKES IN MACHINE LEARNING AND HOW TO AVOID THEM: With Examples in Python

    Understanding the most common mistakes in machine learning will allow you not only to avoid them, but to build better machine learning systems and less prone to errors. After reading this book, you will be ready to build more robust and trustworthy machine learning models.

  4. Python - A Space Adventure

    Earth rapidly became a smaller and smaller blue dot til nothing remained but the darkness of space. The fusion engines slowly pushed the ark ship forward, gliding like a metallic swan. The journey would take 20 years and most of the crew were already in cryo sleep. Only the captain remained awake, doing last minute checks before they would join the others in the dreamless sleep. For the crew, 20 years would pass in an instant, but for the inhabitants of Earth it would be a different story.7 ark ships left the Earth, each with a different mission and different destination. This story takes place on Ark-04 with the mission of reaching the nearest star system, Proxima Centauri. Will you help this crew by leveraging your Python skills? I thought so - buckle up, adventure begins

  5. Discrete Mathematical Algorithm, and Data Structure
    Discrete Mathematical Algorithm, and Data Structure
    Major Components of Mathematics, and Computer Science Explained with the help of C, C++, PHP, Java, C#, Python, and Dart
    Sanjib Sinha

    Readers will learn discrete mathematical abstracts as well as its implementation in algorithm and data structures shown in various programming languages, such as C, C++, PHP, Java, C#, Python and Dart. This book combines two major components of Mathematics and Computer Science under one roof.

  6. A Short Guide to Naming
    A Short Guide to Naming
    Understand how and why to better name modules, classes, functions, and variables.
    Tim Ottinger

    if you've read my chapter on naming in a famous software book (first or second edition) you may want to go a little deeper. Same author, same topic, all-new content!

  7. Credit Risk Modeling Working Notes
    Credit Risk Modeling Working Notes
    A Collection of Presentations, Experiments, and Technical Papers
    Andrija Djurovic

    The Working Notes complement Applied Data Science for Credit Risk and Probability of Default Rating Modeling with R, offering practice-oriented insights. Based on the author’s GitHub repository, they address real-world challenges and are regularly updated to reflect ongoing developments.

  8. High School Python - Textbook
    No Description Available
  9. Learn Python From 100+ Examples

    Learn Python with 100+ self-explanatory codes.

  10. 15 Cheat Sheet Collection in Python + Git + NumPy + ML + Mindset
    15 Cheat Sheet Collection in Python + Git + NumPy + ML + Mindset
    Easy + Quick Learning with Finxter's Best Cheat Sheets
    Finxter

    This 15x PDF collection is a compilation of the best cheat sheets created for my free Finxter Email Academy that teaches Python in byte-sized video and cheat sheet lessons.

  11. Coffee Break Pandas
    Coffee Break Pandas
    74 Pandas Puzzles to Build Your Pandas Data Science Superpower
    Finxter, Lukas Rieger, and Kyrylo Kravets

    The sexiest job in the 21st century? Data Science!Coffee Break Pandas teaches you the new superpower of analyzing and processing data with Python's Pandas framework. If solving puzzles is fun for you, you'll love ❤ this book with 74 brand-new, hand-crafted Pandas puzzles to help you stay relevant in today's marketplace.

  12. Aprende Machine Learning en Español
    Aprende Machine Learning en Español
    Teoría + Práctica Python
    Juan Ignacio Bagnato

    Aprende los conceptos básicos del Machine Learning y avanza poco a poco con teoría y divertidos ejercicios prácticos en Python a niveles intermedios y avanzados hasta llegar al Deep Learning.Tu camino para convertirte en un Científico de Datos comienza aquí

  13. Coffee Break Python - Mastery Workout
    Coffee Break Python - Mastery Workout
    99 Tricky Python Puzzles to Push You to Programming Mastery
    Finxter, Lukas Rieger, and Adrian Chan

    Are you an above-average Python coder? Prove it! Coffee Break Python - Mastery Workout helps you boost your Python skills and reach mastery level. The approach is simple: you solve 99 really hard Python puzzles that get harder as you progress with the book. A clear path to Python mastery!

  14. Logging in Python
    Logging in Python
    Venkatesh-Prasad Ranganath

    A breezy guide to using Python's built-in support for logging. The guide covers general concepts relevant to logging, logging APIs in Python and how to use them, and good practices, gotchas, and performance considerations associated with these APIs.

  15. The Smartest Way to Learn Python Regular Expressions
    The Smartest Way to Learn Python Regular Expressions
    Learn the Best-Kept Productivity Secret of Code Masters
    Finxter, Zohaib Riaz, and Lukas Rieger

    Google engineers are regular expression masters. Do you want to become one, too? The Smartest Way to Learn Python Regex transforms you into a regular expression master. The book leverages an innovative learning approach: (1) read a chapter, (2) watch a course video, and (3) solve a code puzzle. It's fun!