GNU Make VS Think Python

• Portability
  GNU Make is highly portable and can be used across various Unix-like operating systems as well as on Windows.
• Dependency Management
  It efficiently handles complex dependencies between various parts of the software, ensuring that changes are propagated properly.
• Open Source
  Being open-source software, GNU Make is freely available and can be modified according to user needs.
• Wide Adoption
  It is widely adopted in the industry, which means that there is extensive documentation and a large community for support.
• Efficiency
  GNU Make speeds up the build process by only recompiling the necessary parts of the codebase.

Possible disadvantages

• Complex Syntax
  The syntax of GNU Makefiles can become very complex, especially for large projects, making them hard to read and maintain.
• Limited Cross-Platform Scripting
  While the tool itself is cross-platform, Makefiles can sometimes include shell commands that are not portable.
• Steep Learning Curve
  Beginners may find it challenging to grasp the concepts and syntax of GNU Make, leading to a steep learning curve.
• Debugging Difficulty
  Debugging Makefiles can be difficult, with limited tools available to trace or step through the make process.
• Performance Bottlenecks
  For extremely large projects, performance can become an issue, as the evaluation of dependencies might become slow.

• Accessible for Beginners
  Think Python is written in a clear and approachable style, making it suitable for beginners with no prior programming experience. The author takes care to explain concepts thoroughly, making it easy to follow.
• Practical Examples
  The book is filled with practical examples that demonstrate how to use Python for various applications. This approach helps readers understand real-world usage of the language.
• Free Availability
  Think Python is openly accessible in digital format for free, making it easy for anyone to read without financial barriers, supporting open education.
• Emphasis on Problem Solving
  The book places strong emphasis on teaching readers how to think like programmers, encouraging problem-solving and logical thinking skills.

Possible disadvantages

• Limited Depth
  While suitable for beginners, the book doesn’t delve deeply into advanced features of Python, which might leave learners needing additional resources for more complex topics.
• Pacing
  Some readers might find the pacing of the book too slow, particularly if they have some prior programming experience, as it aims to accommodate complete beginners.
• Lack of Exercises
  There are fewer exercises compared to some other programming books, potentially providing less practice for readers to reinforce their learning.
• Outdated Information
  Depending on the edition, some information may be outdated due to the fast-evolving nature of programming languages. Readers may need to verify with more recent sources.

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Thoughts on Think Python From a Beginner Programmer

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Tracking GNU Make since Mar 2021.

• C949 help and Jay Wengrow's Guide to Data Structures

  This course actually starts with an introduction to Python. Since you don't have access yet, you can give Think Python a whirl - https://greenteapress.com/wp/think-python/ and for a more interactive experience, I really enjoyed this one... Source: over 3 years ago

• Best place to learn and practice python?

  Start with Think Python or learn x in y..both are free resources and good for basic understanding and practise. Source: over 3 years ago

• Good places to start learning python?

  This free book taught me Python many years ago https://greenteapress.com/wp/think-python/. Source: over 4 years ago

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