project-atlas-sao-paulo VS anovos

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

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project-atlas-sao-paulo anovos
2 1
9 77
- -
5.5 0.0
almost 3 years ago about 1 year ago
Jupyter Notebook Jupyter Notebook
- 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.

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.

anovos

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

What are some alternatives?

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

fastbook - The fastai book, published as Jupyter Notebooks

Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

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)

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

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

Apache-Spark-Guide - Apache Spark Guide

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

feast - Feature Store for Machine Learning

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.

code - Compilation of R and Python programming codes on the Data Professor YouTube channel.

udacity_bike_share_datalake_project - Azure Data Lake