100-pandas-puzzles VS pandas_exercises

Compare 100-pandas-puzzles vs pandas_exercises and see what are their differences.

100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete) (by ajcr)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
100-pandas-puzzles pandas_exercises
6 10
2,209 10,214
- -
0.0 0.0
6 days ago about 1 month ago
Jupyter Notebook Jupyter Notebook
MIT License 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.

100-pandas-puzzles

Posts with mentions or reviews of 100-pandas-puzzles. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-31.

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 100-pandas-puzzles and pandas_exercises you can also consider the following projects:

numpy-100 - 100 numpy exercises (with solutions)

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

tempo - API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

qs_ledger - Quantified Self Personal Data Aggregator and Data Analysis

idx2numpy_array - Convert data in IDX format in MNIST Dataset to Numpy Array using Python

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

RasgoQL - Write python locally, execute SQL in your data warehouse

PANDAS-TUTORIAL - Jupyter Notebooks and Data Sets for Pandas Library

tempo - Grafana Tempo is a high volume, minimal dependency distributed tracing backend.

github_innovation_graph_analysis

pyjanitor - Clean APIs for data cleaning. Python implementation of R package Janitor

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