matplotlib-tutorial VS data-science-ipython-notebooks

Compare matplotlib-tutorial vs data-science-ipython-notebooks and see what are their differences.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. (by donnemartin)
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matplotlib-tutorial data-science-ipython-notebooks
1 1
2,846 26,490
- -
0.0 0.0
almost 2 years ago about 2 months ago
Python Python
- GNU General Public License v3.0 or later
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.

matplotlib-tutorial

Posts with mentions or reviews of matplotlib-tutorial. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-17.
  • What's New in Matplotlib 3.6.0
    5 projects | news.ycombinator.com | 17 Sep 2022
    I had the same problem until I found this tutorial:

    https://github.com/rougier/matplotlib-tutorial

    If you wan something deeper the same person has written a book:

    https://github.com/rougier/scientific-visualization-book

data-science-ipython-notebooks

Posts with mentions or reviews of data-science-ipython-notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-27.

What are some alternatives?

When comparing matplotlib-tutorial and data-science-ipython-notebooks you can also consider the following projects:

pyx - Repository of PyX, a Python package for the creation of PostScript, PDF, and SVG files.

manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning

BirdNET - Soundscape analysis with BirdNET.

fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

sports-betting - Collection of sports betting AI tools.

PMapper - A tool for quickly evaluating IAM permissions in AWS.

data-science - :bar_chart: Path to a free self-taught education in Data Science!

listenbrainz-server - Server for the ListenBrainz project, including the front-end (javascript/react) code that it serves and all of the data processing components that LB uses.

pandas_flavor - The easy way to write your own flavor of Pandas

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

datacompy - Pandas and Spark DataFrame comparison for humans and more!