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Think Python VS flake8

Compare Think Python VS flake8 and see what are their differences

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Think Python logo Think Python

Learning Resources

flake8 logo flake8

A wrapper around Python tools to check the style and quality of Python code.
  • Think Python Landing page
    Landing page //
    2023-09-24
  • flake8 Landing page
    Landing page //
    2022-12-20

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 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  • Outdated Information
    Depending on the edition, some information may be outdated due to the fast-evolving nature of programming languages.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.

flake8 features and specs

  • Comprehensive Style Guide Enforcement
    Flake8 helps maintain code standards by checking for adherence to PEP 8, which is the official style guide for Python code. This ensures consistency and readability across large codebases.
  • Plugin Support
    Flake8's modular design allows for the addition of plugins, meaning you can customize and extend its functionality to enforce additional rules or standards specific to your project.
  • Ease of Use
    It's straightforward to install and use Flake8, which integrates easily into most workflows, whether it's via command line or integration with text editors and IDEs.
  • Error Detection
    Flake8 combines several tools into a single package to detect syntax errors, undefined names, and other issues in Python code, thus improving code quality.

Possible disadvantages of flake8

  • False Positives
    Flake8 might sometimes generate false positives, particularly when used in complex or non-standard code scenarios, which can lead to time spent verifying whether an issue is genuine.
  • Performance
    For very large projects, running Flake8 can be resource-intensive, potentially slowing down the development process as it parses large amounts of code.
  • Configuration Overhead
    While customizable, configuring Flake8 to fit the specific needs of a project may require significant initial effort, especially when tailoring the rules and integrating with various tools.
  • Not a Full Linter Replacement
    Flake8 is focused on style and simple static analysis; it doesn't cover deeper static analysis tasks, such as type checking or advanced linting, which might necessitate supplementary tools.

Think Python videos

+ Add

Thoughts on Think Python From a Beginner Programmer

More videos:

flake8 videos

+ Add

Linters and fixers: never worry about code formatting again (Vim + Ale + Flake8 & Black for Python)

More videos:

  • Review - flake8 на максималках: что, как и зачем / Илья Лебедев

Category Popularity

0-100% (relative to Think Python and flake8)

Think Python

flake8

Online Learning
100 100%
Online Learning
0% 0
Code Coverage
0 0%
Code Coverage
100% 100
Development
100 100%
Development
0% 0
Code Analysis
0 0%
Code Analysis
100% 100

User comments

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Social recommendations and mentions

Based on our record, Think Python should be more popular than flake8. It has been mentiond 9 times since March 2021. 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.

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: about 2 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: about 2 years ago
  • Good places to start learning python?
    This free book taught me Python many years ago https://greenteapress.com/wp/think-python/. Source: almost 3 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: about 3 years ago
  • Observations and thoughts from a long time crypto nerd
    Computer Science — 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 3 years ago
View more

flake8 mentions (5)

  • How I start every new Python backend API project
    Repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.3.0 hooks: - id: trailing-whitespace - id: check-merge-conflict - id: check-yaml args: [--unsafe] - id: check-json - id: detect-private-key - id: end-of-file-fixer - repo: https://github.com/timothycrosley/isort rev: 5.10.1 hooks: - id: isort - repo:... - Source: dev.to / over 2 years ago
  • Flake8 took down the gitlab repository in favor of github
    I just ran `pre-commit autoupdate`. It's asking for a username for https://gitlab.com/pycqa/flake8. :-(. Source: over 2 years ago
  • flake8-length: Flake8 plugin for a smart line length validation.
    Flake8 plugin for a smart line length validation. Source: over 2 years ago
  • Make your Django project newbie contributor friendly with pre-commit
    $ pre-commit install Pre-commit installed at .git/hooks/pre-commit $ git add .pre-commit-config.yaml $ git commit -m "Add pre-commit config" [INFO] Initializing environment for https://github.com/pre-commit/pre-commit-hooks. [INFO] Initializing environment for https://gitlab.com/pycqa/flake8. [INFO] Initializing environment for https://github.com/pycqa/isort. [INFO] Initializing environment for... - Source: dev.to / almost 4 years ago
  • On unit testing
    If you're looking for just good automated error checking, I personally use a bunch of flake8 plugins via pre-commit hooks: flake8-bugbear, flake8-builtins, flake8-bandit, etc. You can find a bunch of sites that give recommended plugins and you just need to pick which ones you care about :). Source: about 4 years ago

What are some alternatives?

When comparing Think Python and flake8, you can also consider the following products

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.

PyLint - Pylint is a Python source code analyzer which looks for programming errors.

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

PyFlakes - A simple program which checks Python source files for errors.

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.

SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

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