100-Days-of-Python VS 100-days-of-code-python

Compare 100-Days-of-Python vs 100-days-of-code-python and see what are their differences.

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100-Days-of-Python 100-days-of-code-python
1 3
164 441
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0.0 0.0
almost 2 years ago about 1 year ago
Jupyter Notebook Jupyter Notebook
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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.

100-Days-of-Python

Posts with mentions or reviews of 100-Days-of-Python. We have used some of these posts to build our list of alternatives and similar projects.
  • Need help in contributing to open source.
    1 project | /r/learnprogramming | 6 Apr 2021
    otherwise just do some small own projects, or tackle 30 days python challenge or some other stuff like https://github.com/ashutoshkrris/100-Days-of-Python and keep your github nice and pretty. a good github can be useful for job seekers

100-days-of-code-python

Posts with mentions or reviews of 100-days-of-code-python. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing 100-Days-of-Python and 100-days-of-code-python you can also consider the following projects:

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

linear_elasticity_3D_fenics - Finite element modeling for linear elasticity problem in 3D by using FEniCS software

Python-Roadmap - Python Roadmap. Learn Python programming as your first programming language. Python for Absolute Beginners, Non-Tech Professionals, 15+ Projects, 30 Topics, 500+ Practice Questions, with Data Structures & Algorithms

Analise-de-Churn-Rate - Uma análise de Churn Rate, isto é, da taxa de cancelamento de serviços realizados pelos clientes de uma empresa, usando Python (Pandas e Plotly Express).

ta - Technical Analysis Library using Pandas and Numpy