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Python Bibliography
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* Create a list of top 100 Python Books with no description or definitions. Sort by most common. Put 2 double square brackets around each topic. Do not number the topics. Separate each topics with a comma.
Python Bibliography:
* Create a list of top 100 Python Books with no description or definitions. Sort by most common. Put 2 double square brackets around each topic and put an asterisk and a space before the topic. Each topic is on a separate line. Do not number the topics.
* Python Crash Course
* Automate the Boring Stuff with Python
* Fluent Python
* Learning Python
* Effective Python
* Python Cookbook
* Head First Python
* Think Python
* Python for Data Analysis
* Python for Kids
* Programming Python
* The Quick Python Book
* Python in a Nutshell
* Introducing Python
* Python Programming: An Introduction to Computer Science
* Black Hat Python
* Python for Everybody
* Python Tricks: A Buffet of Awesome Python Features
* Invent Your Own Computer Games with Python
* Python Machine Learning
* Practical Programming for Total Beginners
* The Python Workbook
* Violent Python
* Python Data Science Handbook
* Python and HDF5
* Test-Driven Development with Python
* Gray Hat Python
* Two Scoops of Django
* Python Deep Learning
* Learning Python, 5th Edition
* Mastering Python Networking
* Python Testing with pytest
* Serious Python
* Mission Python
* Python for Finance
* Python in Practice
* Python for Secret Agents
* Beginning Python
* Expert Python Programming
* Python Programming for the Absolute Beginner
* Python 3 Object-Oriented Programming
* Pro Python
* Python for Informatics
* Programming in Python 3
* Python GUI Programming Cookbook
* Python Algorithms
* Making Games with Python & Pygame
* Python for Data Science For Dummies
* Bioinformatics Programming Using Python
* Python Scripting for Computational Science
* Web Scraping with Python
* Python for Biologists
* Python Programming: An Introduction to Computer Science, 3rd Ed.
* High Performance Python
* Tiny Python Projects
* Real-World Python
* Python Projects
* The Hitchhiker's Guide to Python
* Natural Language Processing with Python
* Data Structures and Algorithms in Python
* Clean Code in Python
* Advanced Python Programming
* Python Microservices Development
* Modern Python Cookbook
* Python Parallel Programming Cookbook
* Python for DevOps
* Mastering Python for Data Science
* Pro Python System Administration
* Python for Data Analysis, 2nd Edition
* Learning Cython Programming
* Python: The Complete Reference
* Python for Offensive PenTest
* Practical Python AI Projects
* Django for Beginners
* Python Graphics Programming
* Python for Unix and Linux System Administration
* PySpark Recipes
* Practical Machine Learning with Python
* Numerical Python
* Python Programming for Biology
* Python 3 for Absolute Beginners
* Dive Into Python 3
* Full Stack Python
* Beginning Programming with Python For Dummies
* Advanced Deep Learning with Python
* Python for Professionals
* Python Data Visualization Cookbook
* Raspberry Pi Programming with Python
* Effective Computation in Physics
* Data Science from Scratch with Python
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# Official Python Glossary https://docs.python.org/3/glossary.html (POG 2022)
# Python How-To - 63 techniques to improve your Python code by Yong Cui
# Dead Simple Python - Idiomatic Python for the Impatient Programmer by Jason C McDonald on April 11, 2023, B085BV31TK (DedSmplPy 2022)
# Python in a Nutshell - A Desktop Quick Reference, 4th Edition by Alex Martelli, Anna Martelli Ravenscroft, Steve Holden, Paul McGuire - https://learning.oreilly.com/library/view/python-in-a/9781098113544, B09S17LTCQ (PyicPrgIdiom 2022)
# Python for Cybersecurity
# Pandas Brain Teasers - Exercise Your Mind by Miki Tebeka on September 5, 2022
# Python Brain Teasers - Exercise Your Mind by Miki Tebeka on September 5, 2022
# Pythonic Programming - Tips for Becoming an Idiomatic Python Programmer by Dmitry Zinoviev on September 5, 2022
# Intuitive Python - Productive Development for Projects that Last by David Muller on September 5, 2022
# Essential Math for Data Science - Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics by Thomas Nield on September 4, 2022
# Learn to Code by Solving Problems - A Python Programming Primer by Daniel Zingaro on September 4, 2022
# Impractical Python Projects - Playful Programming Activities to Make You Smarter by Lee Vaughan on September 4, 2022
# The Big Book of Small Python Projects - 81 Easy Practice Programs by Al Sweigart on September 4, 2022
# Python One-Liners - Write Concise, Eloquent Python Like a Professional by Christian Mayer
# Object-Oriented Python - Master OOP by Building Games and GUIs by Irv Kalb on September 4, 2022
# Python Concurrent Futures Interview Questions - Answers To 130+ Interview Questions On The ThreadPoolExecutor And ProcessPoolExecutor by Jason Brownlee on September 4, 2022
# Python Multiprocessing Jump-Start - Develop Parallel Programs, Side-Step the GIL, and Use All CPU Cores by Jason Brownlee on September 4, 2022
# Python ThreadPool Jump-Start - Run Your IO-Bound Functions Concurrently With Just A Few Lines Of Code by Jason Brownlee on September 4, 2022
# Python ProcessPoolExecutor Jump-Start - Execute CPU-Bound Tasks in Parallel With Modern Process Pools by Jason Brownlee on September 4, 2022
# Python ThreadPoolExecutor Jump-Start - Execute IO-Bound Tasks Asynchronously With Modern Thread Pools by Jason Brownlee on September 4, 2022
# Python Multiprocessing Pool Jump-Start - Run Your Python Functions In Parallel With Just A Few Lines Of Code by Jason Brownlee on September 4, 2022
# Python Multiprocessing Interview Questions - Answers To 180+ Interview Questions On Python Multiprocessing by Jason Brownlee on September 4, 2022
# Python Threading Interview Questions - Answers To 120+ Interview Questions On Python Threading by Jason Brownlee on September 4, 2022
# Z by Jason Brownlee on September 4, 2022
# Cython - A Guide for Python Programmers by Kurt Smith on September 4, 2022
# CPython Internals - Your Guide to the Python 3 Interpreter by Anthony Shaw on September 4, 2022
# Data Science at the Command Line - Obtain, Scrub, Explore, and Model Data with Unix Power Tools by Jeroen Janssens on September 1, 2022
# Python for Data Analysis - Data Wrangling with pandas, NumPy, and Jupyter, 3rd Edition by Wes McKinney - https://learning.oreilly.com/library/view/python-for-data/9781098104023, B0B9HY3WX7 (PyDtAnMcKn 2022)
# Python for Data Science - A Hands-On Introduction by Yuli Vasiliev on September 3, 2022
# Data Structures the Fun Way - An Amusing Adventure with Coffee-Filled Examples by Jeremy Kubica on September 3, 2022
# The Recursive Book of Recursion - Ace the Coding Interview with Python and JavaScript by Al Sweigart on September 3, 2022
# Python Testing with pytest - Simple, Rapid, Effective, and Scalable by Brian Okken on September 4, 2022 - https://learning.oreilly.com/library/view/python-testing-with/9781680509427
# Python Unit Test Automation - Automate, Organize, and Execute Unit Tests in Python by Ashwin Pajankar - https://learning.oreilly.com/library/view/python-unit-test/9781484278543
# pytest Quick Start Guide - Write better Python code with simple and maintainable tests by Bruno Oliveira - https://learning.oreilly.com/library/view/pytest-quick-start/9781789347562
# Fluent Python, 2nd Edition by Luciano Ramalho (FlntPy 2022)
# Python for DevOps - Learn Ruthlessly Effective Automation by Noah Gift, Kennedy Behrman, Alfredo Deza, and Grig Gheorghiu (Py4DO 2020)
# Python Crash Course, 2nd Edition by Eric Matthes
# Introducing Python, 2nd Edition by Bill Lubanovic
# Python for Data Analysis, 2nd Edition by Wes McKinney
# Learning Python, 5th Edition by Mark Lutz
# Automate the Boring Stuff with Python, 2nd Edition by Al Sweigart
# Think Python, 2nd Edition by Allen B. Downey
# Head First Python, 2nd Edition by Paul Barry
# Effective Python - 90 Specific Ways to Write Better Python, 2nd Edition by Brett Slatkin
# Python Distilled by David M. Beazley
# High Performance Python, 2nd Edition by Micha Gorelick and Ian Ozsvald
# Tiny Python Projects by Ken Youens-Clark
# Python Testing with pytest by Brian Okken
# Python Cookbook, 3rd Edition by David Beazley and Brian K. Jones
# Practical Programming, 3rd Edition by Jennifer Campbell, Jason Montojo and Paul Gries
# Robust Python by Patrick Viafore
# Expert Python Programming - Fourth Edition by Michal Jaworski and Tarek Ziade
# Python for Programmers by Harvey Deitel and Paul J. Deitel
# Python Workout by Reuven M. Lerner
# Python for Finance, 2nd Edition by Yves Hilpisch
# Using Asyncio in Python by Caleb Hattingh
# Black Hat Python, 2nd Edition by Justin Seitz and Tim Arnold
# Web Scraping with Python, 2nd Edition by Ryan Mitchell
# Learn Python 3 the Hard Way - A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code by Zed A. Shaw
# The Quick Python Book, Third Edition by Naomi Ceder
# Fluent Python by Luciano Ramalho
# Head First Learn to Code by Eric Freeman
# Python Data Structures and Algorithms by Benjamin Baka
# Python One-Liners by Christian Mayer
# Learn to Code by Solving Problems by Daniel Zingaro
# Python in a Nutshell, 3rd Edition by Alex Martelli, Anna Ravenscroft and Steve Holden - Python in a Nutshell - A Desktop Quick Reference In a Nutshell by Alex Martelli, Anna Ravenscroft, Steve Holden, Paul McGuire
# Automate the Boring Stuff with Python by Al Sweigart
# Modern Python Cookbook - Second Edition by Steven F. Lott
# Python for Geeks by Muhammad Asif
# Python Cookbook by Alex Martelli and David Ascher
# Python GUI Programming with Tkinter - Second Edition by Alan D. Moore
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* Django for Beginners - Build websites with Python & Django, by William S. Vincent, 2018
* Python One-Liners - Python One-Liners - Write Concise, Eloquent Python Like a Professional
* Python for DevOps - Learn Ruthlessly Effective Automation - Python for DevOps - by Noah Gift, Kennedy Behrman, Alfredo Deza, and Grig Gheorghiu, 2020, 978-1-492-05769-7
* Practices of the Python Pro
* Python Workout - 50 Ten-Minute Exercises - Python Workout
* Classic Computer Science Problems in Python
* Tiny Python Projects - Learn coding and testing with puzzles and games - Tiny Python Projects
* Developing Microservice APIs with Python
* Practical Python Security
* Beyond the Basic Stuff with Python
* Python 3 Standard Library by Example
* Impractical Python Projects
* Architecture Patterns with Python - Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices - Architecture Patterns with Python
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* Python Pocket Reference - Fair Use Source: B00HZ41PGC - Python Pocket Reference Index
* Learning Python - Powerful Object-Oriented Programming: B00DDZPC9S
* Programming Python - Programming Python Index
* Learning Python - Learning Python Index
* Python Essential Reference - Python Essential Reference Index
* Practices of the Python Pro by Dane Hillard
** Professional developers know the many benefits of writing application code that’s clean, well-organized, and easy to maintain. By learning and following established patterns and best practices, you can take your code and your career to a new level. With Practices of the Python Pro, you’ll learn to design professional-level, clean, easily-maintainable software at scale using the incredibly popular programming language, Python. You’ll find easy-to-grok examples that use pseudocode and Python to introduce software development best practices, along with dozens of instantly-useful techniques that will help you code like a pro
* Building Android Apps in Python Using Kivy with Android Studio by Ahmed Fawzy Mohamed Gad
** Start building Python-based Android applications using Kivy with Android Studio. Through in-depth examples, this book teaches you everything you need to create your first Android application in Python and publish on Google Play. Building Android Apps in Python Using Kivy with Android Studio takes you through the basics of…
* Beginning Anomaly Detection Using Python-Based Deep Learning by Sridhar Alla, Suman Kalyan Adari
**Utilize this easy-to-follow beginner’s guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks. This book begins with…
* Practical Cryptography in Python by Christopher K. Monson, Seth James Nielson
** Develop a greater intuition for the proper use of cryptography. This book teaches the basics of writing cryptographic algorithms in Python, demystifies cryptographic internals, and demonstrates common ways cryptography is used incorrectly. Cryptography is the lifeblood of the digital world’s security infrastructure. From governments around the world to…
* Practical Data Science with Python 3 by Ervin Varga
** Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. Along the way, you will be introduced to many popular open-source frameworks,…
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* Applied Reinforcement Learning with Python, by Beysolow II Taweh
** Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym. Applied Reinforcement Learning with Python introduces you to the theory behind…
* Data Science with Python and Dask, by Jesse C. Daniel
** Dask is a native parallel analytics tool designed to integrate seamlessly with the libraries you’re already using, including Pandas, NumPy, and Scikit-Learn. With Dask you can crunch and work with huge datasets, using the tools you already have. And Data Science with Python and Dask is your guide to using…
* Python for DevOps - Python for DevOps Index
* DevOps in Python - DevOps in Python Index
** By: Moshe Zadka
** Explore and apply best practices for efficient application deployment. This book draws upon author Moshe Zadka’s years of Dev Ops experience and focuses on the parts of Python, and the Python ecosystem, that are relevant for DevOps engineers. You’ll start by writing command-line scripts and automating simple DevOps-style tasks….
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Python All-in-One For Dummies
By: Alan Simpson, John Shovic
Your one-stop resource on all things Python Thanks to its flexibility, Python has grown to become one of the most popular programming languages in the world. Developers use Python in app development, web development, data science, machine learning, and even in coding education classes. There’s almost no type…
Automate the Boring Stuff with Python
Automate the Boring Stuff with Python
By: Al Sweigart
If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In Automate the Boring Stuff with Python, you’ll learn how to use Python to write…
* Python Crash Course - Python Crash Course Index - Python Crash Course, 2nd Edition
** Eric Matthes
** Second edition of the best selling Python book in the world. A fast-paced, no-nonsense guide to programming in Python. This book teaches beginners the basics of programming in Python with a focus on real projects. This is the second edition of the best selling Python book in the…
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