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- Title: Python Programming Exercises, Gently Explained
- Author(s) Al Sweigart
- Publisher: No Starch Press (September 29, 2022); eBook (Read Online)
- Hardcover/Paperback: N/A
- eBook: HTML
- Language: English
- ISBN-10/ASIN: B0BGYJ7G6T
- ISBN-13: N/A
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This is the perfect book for beginner and intermediate programmers who want to test their Python skills but aren’t ready to begin professional-level software development. The 42 programming exercises in this book let you practice what you've learned.
About the Authors- Al Sweigart (Albert Sweigart) is a software developer and teaches programming to kids and adults. He has written several Python books for beginners, including Automate the Boring Stuff with Python, Hacking Secret Ciphers with Python, Invent Your Own Computer Games with Python, and Making Games with Python and Pygame.
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Architecture Patterns with Python (Harry Percival, et al.)
Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices, it introduces proven architectural design patterns to help Python developers manage application complexity, and get the most value out of test suites.
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Python Packages (Tomas Beuzen, et al.)
An open source book that describes modern and efficient workflows for creating Python packages. Covering the entire Python packaging life cycle, this essential guide takes readers from package creation all the way to effective maintenance and updating.
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Clean Architectures in Python (Leonardo Giordani)
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Automate the Boring Stuff with Python (Albert Sweigart)
Learn how to use Python to write programs that do in minutes what would take you hours to do by hand - no prior programming experience required. You'll create Python programs that effortlessly perform useful and impressive feats of automation.
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Python for Everybody: Exploring Data in Python 3
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O'Reilly® Think Python, 2nd Edition (Allen B. Downey)
This hands-on guide takes you through the Python programming language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. 2nd edition updated for Python 3.
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Fundamentals of Python Programming (Richard L. Halterman)
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Problem Solving with Algorithms/Data Structures using Python
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O'Reilly® Python Data Science Handbook: Essential Tools
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Modeling and Simulation in Python (Allen B. Downey)
This book is an introduction to physical modeling using a computational approach with Python. You will learn how to use Python to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; etc.
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