cheatsheets
Official Matplotlib cheat sheets (by matplotlib)
Keras
Deep Learning for humans (by keras-team)
| cheatsheets | Keras | |
|---|---|---|
| 126 | 87 | |
| 7,468 | 62,989 | |
| 0.4% | 0.3% | |
| 5.3 | 9.8 | |
| 7 days ago | 4 days ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | Apache License 2.0 |
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.
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.
cheatsheets
Posts with mentions or reviews of cheatsheets.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-25.
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Matplotlib - A Python 2D plotting library.
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How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
Data visualization: utilizing Python's Matplotlib for visualizing order book information.
- Matplotlib
- Ask HN: What plotting tools should I invest in learning?
- Help with an array
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Getting visual studio code to work with imported library
Name: matplotlib Version: 3.7.1 Summary: Python plotting package Home-page: https://matplotlib.org Author: John D. Hunter, Michael Droettboom Author-email: [email protected] License: PSFLocation: /home/huinker/.local/lib/python3.10/site-packages
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PSA: You don't need fancy stuff to do good work.
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses without relying on expensive or proprietary software.
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What else should I complete before applying for a data analyst role?
programming language: basic python, pandas, matplotlib -- you'll probably do these in school, but if not https://cs50.harvard.edu/python/2022/ https://matplotlib.org/
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[OC] Analyzing 15,963 Job Listings to Uncover the Top Skills for Data Analysts (update)
Analysis was done in Jupyter Notebook with Python 3.10, Pandas, Matplotlib, wordcloud and Mercury framework.
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[OC] Data Analyst Skills in need based on 15,963 job listings
Analysis was done in Jupyter Notebook with Python 3.10 kernel, Pandas, Matplotlib, wordcloud and Mercury framework to share notebook as a web application with widgets and code hidden. Gif created in Canva.
Keras
Posts with mentions or reviews of Keras.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-04-29.
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Top Programming Languages for AI Development in 2025
The unchallenged leader in AI development is still Python. and Keras, and robust community support.
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A Man Out to Prove How Dumb AI Still Is
>Chollet, a French computer scientist and one of the industry’s sharpest skeptics
I feel like this description really buries the lede on Chollet's expertise. (For those who don't know, he's the creator of and lead contributor[0] to Keras)
[0]https://github.com/keras-team/keras/graphs/contributors
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Building a Sarcasm Detection System with LSTM and GloVe: A Complete Guide
Keras API reference
- Submitting GPU jobs to Slurm @ Loyola University Chicago
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Top 8 OpenSource Tools for AI Startups
Star on GitHub ⭐ - Keras
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Top 5 Production-Ready Open Source AI Libraries for Engineering Teams
At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck.
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Las 10 Mejores Herramientas de Inteligencia Artificial de Código Abierto
(https://dev-to-uploads.s3.amazonaws.com/uploads/articles/92cup4lywcjfq83xg0ea.png)
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Using Google Magika to build an AI-powered file type detector
The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models.
- Side Quest #3: maybe the real Deepfakes were the friends we made along the way
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Library for Machine learning and quantum computing
Keras
What are some alternatives?
When comparing cheatsheets and Keras you can also consider the following projects:
finplot - Performant and effortless finance plotting for Python
scikit-learn - scikit-learn: machine learning in Python
chat-replay-downloader - A simple tool used to retrieve chat messages from livestreams, videos, clips and past broadcasts. No authentication needed!
tensorflow - An Open Source Machine Learning Framework for Everyone
manim - A community-maintained Python framework for creating mathematical animations.
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.