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pre-commit by Yelp VS Think Python

Compare pre-commit by Yelp VS Think Python and see what are their differences

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pre-commit by Yelp logo pre-commit by Yelp

A framework for managing and maintaining multi-language pre-commit hooks

Think Python logo Think Python

Learning Resources
  • pre-commit by Yelp Landing page
    Landing page //
    2022-01-08
  • Think Python Landing page
    Landing page //
    2023-09-24

pre-commit by Yelp features and specs

  • Comprehensive Hook Management
    Pre-commit provides a robust framework to manage and configure git hooks in a standardized way, simplifying the process of ensuring code quality.
  • Language Agnostic
    Supports hooks written in all kinds of languages including Python, Ruby, JavaScript, etc., making it versatile and adaptable to any codebase.
  • Ease of Setup
    Installing and configuring pre-commit hooks is straightforward, often just involving the addition of a simple configuration file to the repository.
  • Version Control
    Pre-commit ensures that the same versions of hooks are consistently run across developers' environments by locking the version of each hook.
  • Centralized Configuration
    Project-wide configuration means that all contributors use the same hooks and settings, fostering code consistency and quality.

Possible disadvantages of pre-commit by Yelp

  • Learning Curve
    New users might face a learning curve initially when setting up a configuration file and understanding how to integrate it with existing workflows.
  • Performance Overhead
    Running hooks can add a noticeable delay when committing code, especially in larger projects with many hooks.
  • Dependency Management
    Some hooks might introduce additional dependencies that need to be managed within the project's environment.
  • Complex Configuration for Advanced Use
    While simple setups are easy, more complex configurations can become intricate and harder to manage.
  • Limited to Pre-defined Hooks
    If a desired hook isn't available, users may have to create their own, which can require additional effort and maintenance.

Think Python features and specs

  • 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 of Think Python

  • Limited Depth
    While suitable for beginners, the book doesnโ€™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.

pre-commit by Yelp videos

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Think Python videos

Thoughts on Think Python From a Beginner Programmer

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Category Popularity

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Developer Tools
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Social recommendations and mentions

Based on our record, pre-commit by Yelp seems to be a lot more popular than Think Python. While we know about 174 links to pre-commit by Yelp, we've tracked only 9 mentions of Think Python. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

pre-commit by Yelp mentions (174)

  • You can see your cloud bill. Can you see what your AI agent's context costs?
    Using the pre-commit framework? It's a four-line entry โ€” no hook scripting. - Source: dev.to / 13 days ago
  • Auto-Optimize Images in a Git Pre-Commit Hook (Local, No Upload)
    .git/hooks isn't version-controlled, so a raw hook only protects your machine. To enforce it for everyone, use the pre-commit framework and commit the config:. - Source: dev.to / about 1 month ago
  • AI coding agents: everyone harnesses the agent's loop. Here's the human's.
    Execution and harnessed, productized enforcement for builds. This corner is real and mature: Husky, Lefthook, pre-commit, Trunk, GitHub branch protection, on top of the underlying primitives (git, Claude Code hooks, CI). These don't hope your code is clean. They refuse the commit, fail the build, block the merge until it is. Enforcement isn't exotic. It's a solved, shipping product category. - Source: dev.to / about 1 month ago
  • Best DevSecOps Security Tools for CI/CD Pipeline Protection
    Representative tools: Gitleaks and TruffleHog are the open-source workhorses. Run both through the pre-commit framework so secrets get caught before they ever hit the remote. - Source: dev.to / 2 months ago
  • Stop Copying Your .pre-commit-config.yaml
    Flexible: It works seamlessly with both pre-commit and prek. - Source: dev.to / 2 months ago
View more

Think Python mentions (9)

  • 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 - https://scrimba.com/learn/python. 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: about 4 years ago
  • Which books should I read to learn computer science with python language?
    In terms of learning the basics of Python programming, you can get the first edition of Think Python in PDF form for free. Source: over 4 years ago
  • Observations and thoughts from a long time crypto nerd
    Computer Science โ€” For understanding software development. As for a programming language to learn, I recommend Python or Javascript. Try Crash Course's Computer Science videos, the free Think Python book, and/or Part 1 of The Modern JavaScript Tutorial. Source: over 4 years ago
View more

What are some alternatives?

When comparing pre-commit by Yelp and Think Python, you can also consider the following products

EditorConfig - EditorConfig is a file format and collection of text editor plugins for maintaining consistent coding styles between different editors and IDEs.

Google's Python Class - Assorted educational materials provided by Google.

Python Poetry - Python packaging and dependency manager.

The New Boston video series - Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

mypy - Mypy is an experimental optional static type checker for Python that aims to combine the benefits of dynamic (or "duck") typing and static typing.

A Byte of Python - A Byte of Python is a Python programming tutorial and learning book that teaches you how to program with the Python programming language.