Learning Advanced Python by Studying Open Source Projects

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A01=Rongpeng Li
algorithm implementation
Asynchronous programming
Author_Rongpeng Li
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Category=PBW
Category=UB
Category=UMN
Category=UMX
Category=UMZ
Category=UMZT
Category=UN
Category=UYA
Category=UYF
Category=UYQ
code maintainability
coding
concurrency techniques
Data Model
eq_bestseller
eq_computing
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eq_isMigrated=2
eq_nobargain
eq_non-fiction
object-oriented principles
open source project analysis
programming
python
software architecture
software testing strategies

Product details

  • ISBN 9781032328188
  • Weight: 420g
  • Dimensions: 178 x 254mm
  • Publication Date: 10 Nov 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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This book is one of its own kind. It is not an encyclopedia or a hands-on tutorial that traps readers in the tutorial hell. It is a distillation of just one common Python user’s learning experience. The experience is packaged with exceptional teaching techniques, careful dependence unraveling and, most importantly, passion.

Learning Advanced Python by Studying Open Source Projects helps readers overcome the difficulty in their day-to-day tasks and seek insights from solutions in famous open source projects. Different from a technical manual, this book mixes the technical knowledge, real-world applications and more theoretical content, providing readers with a practical and engaging approach to learning Python.

Throughout this book, readers will learn how to write Python code that is efficient, readable and maintainable, covering key topics such as data structures, algorithms, object-oriented programming and more. The author’s passion for Python shines through in this book, making it an enjoyable and inspiring read for both beginners and experienced programmers.

Rongpeng Li (Ron) is a YouTube educator and animator. He has a consistent passion for education. He has published two books on statistics and scientific simulation.

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