code VS project-atlas-sao-paulo

Compare code vs project-atlas-sao-paulo and see what are their differences.

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code project-atlas-sao-paulo
1 2
874 9
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0.0 5.5
3 months ago almost 3 years 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.

code

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

project-atlas-sao-paulo

Posts with mentions or reviews of project-atlas-sao-paulo. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing code and project-atlas-sao-paulo you can also consider the following projects:

Shiny_Desktop_App - Deploy your R Shiny app(s) locally on Windows

fastbook - The fastai book, published as Jupyter Notebooks

gds_env - A containerised platform for Geographic Data Science

project - Predict how many points an European football team will end the season with, according to the characteristics of its players. Project for the Big Data Computing course at Sapienza University of Rome (2021-22)

python-machine-learning-book - The "Python Machine Learning (1st edition)" book code repository and info resource

dracula - a brief analysis to the most common words in Dracula, by Bram Stoker

ydata-quality - Data Quality assessment with one line of code

app - Prototype toolkit for sustainable urban design at the speed of thought.

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

pyspark-tutorial - PySpark Tutorial for Beginners - Practical Examples in Jupyter Notebook with Spark version 3.4.1. The tutorial covers various topics like Spark Introduction, Spark Installation, Spark RDD Transformations and Actions, Spark DataFrame, Spark SQL, and more. It is completely free on YouTube and is beginner-friendly without any prerequisites.

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

anovos - Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark