pandas_flavor VS 30-Days-Of-Python

Compare pandas_flavor vs 30-Days-Of-Python and see what are their differences.

pandas_flavor

The easy way to write your own flavor of Pandas (by pyjanitor-devs)
Pandas
Source Code
zsailer.github.io
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30-Days-Of-Python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw (by Asabeneh)
30-days-of-python Python Flask Github Heroku Matplotlib MongoDB Numpy Pandas Python3
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pandas_flavor 30-Days-Of-Python
2 67
294 32,404
0.7% -
1.2 1.8
23 days ago 6 days ago
Python Python
MIT License -
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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_flavor

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

30-Days-Of-Python

Posts with mentions or reviews of 30-Days-Of-Python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-03.

What are some alternatives?

When comparing pandas_flavor and 30-Days-Of-Python you can also consider the following projects:

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Python-for-Everyone - A step by step guide to learn Python Programming

modin - Modin: Scale your Pandas workflows by changing a single line of code

materials - Bonus materials, exercises, and example projects for our Python tutorials

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

fastbook - The fastai book, published as Jupyter Notebooks

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Scrape-Websites-with-Python-FastAPI-Celery-NoSQL - Learn how to scrape websites with Python, Selenium, Requests HTML, Celery, FastAPI, & NoSQL with Cassandra via AstraDB.

codewars.com - Issue tracker for Codewars

adventofcode - Advent of Code solutions of 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 and 2023 in Scala

developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.

10DaysOfPython

pandas_flavor vs data-science-ipython-notebooks 30-Days-Of-Python vs Python-for-Everyone pandas_flavor vs modin 30-Days-Of-Python vs materials pandas_flavor vs Pandas 30-Days-Of-Python vs fastbook pandas_flavor vs datasets 30-Days-Of-Python vs Scrape-Websites-with-Python-FastAPI-Celery-NoSQL 30-Days-Of-Python vs codewars.com 30-Days-Of-Python vs adventofcode 30-Days-Of-Python vs developer-roadmap 30-Days-Of-Python vs 10DaysOfPython