PANDAS-TUTORIAL VS pandas_exercises

Compare PANDAS-TUTORIAL vs pandas_exercises and see what are their differences.

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PANDAS-TUTORIAL pandas_exercises
4 10
158 10,188
- -
4.0 0.0
6 months ago about 1 month ago
Jupyter Notebook Jupyter Notebook
- BSD 3-clause "New" or "Revised" License
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.

PANDAS-TUTORIAL

Posts with mentions or reviews of PANDAS-TUTORIAL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-19.

pandas_exercises

Posts with mentions or reviews of pandas_exercises. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-17.

What are some alternatives?

When comparing PANDAS-TUTORIAL and pandas_exercises you can also consider the following projects:

100-Days-Of-ML-Code - 100 Days of ML Coding

100-plus-Python-programming-exercises-extended - The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways

practical-data-engineering - Practical Data Engineering: A Hands-On Real-Estate Project Guide

qs_ledger - Quantified Self Personal Data Aggregator and Data Analysis

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code - 500 AI Machine learning Deep learning Computer vision NLP Projects with code

pandas-cookbook - Recipes for using Python's pandas library

Data-Engineering-Projects - Personal Data Engineering Projects

100-pandas-puzzles - 100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

HashtagCashtag - My Insight Data Engineering Fellowship project. I implemented a big data processing pipeline based on ​lambda architecture​, that aggregates Twitter and US stock market data for user sentiment analysis using open source tools - ​Apache Kafka ​for data ingestions, Apache Spark ​& ​Spark Streaming ​for batch & real-time processing, ​Apache Cassandra f​ or storage, ​Flask​, ​Bootstrap and ​HighCharts f​ or frontend.

github_innovation_graph_analysis

py - Repository to store sample python programs for python learning

pyspark-tutorials - Code snippets and tutorials for working with social science data in PySpark