loggerexamples VS Python-for-beginners

Compare loggerexamples vs Python-for-beginners and see what are their differences.

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loggerexamples Python-for-beginners
1 1
38 172
- -
5.8 0.0
over 2 years ago over 3 years ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

loggerexamples

Posts with mentions or reviews of loggerexamples. We have used some of these posts to build our list of alternatives and similar projects.

Python-for-beginners

Posts with mentions or reviews of Python-for-beginners. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing loggerexamples and Python-for-beginners you can also consider the following projects:

learn-python3 - Jupyter notebooks for teaching/learning Python 3

python-argparse-subdec - Create argparse subcommands with decorators.

thonny - Python IDE for beginners

fastero - Python timeit CLI for the 21st century! colored output, multi-line input with syntax highlighting and autocompletion and much more!

beginner_python_playground - Easy & playful python scripts to learn basic concepts with executable code. Clear instructions in `README.md` to get started, for beginners and non-devs.

livetiming-core - Timing71 core library.

ultimate-python - Ultimate Python study guide for newcomers and professionals alike. :snake: :snake: :snake:

klp - Kool Logfmt Parser: a CLI viewer for structured log files and streams (logfmt, JSONL and some others)

learn oops in python - 📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.