pandas_flavor
30-Days-Of-Python
pandas_flavor | 30-Days-Of-Python | |
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2 | 67 | |
295 | 32,933 | |
0.7% | - | |
0.6 | 1.4 | |
about 2 months ago | 9 days ago | |
Python | Python | |
MIT License | - |
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pandas_flavor
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This OOP habit disturbs me (super().__init__(args accumulation):)
There's established ways to extend pandas btw: - https://pandas.pydata.org/docs/development/extending.html - Also, https://github.com/pyjanitor-devs/pandas_flavor
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Using Python Classes to Streamline Data Modelling/Cleaning
Check out pandas-flavor. It's a library that lets you register methods to dataframes. There's definitely a time and a place for OO in pandas data processing but your examples can probably be more simply expressed as methods and pandas flavor can make them easy to "find" as extensions of the frame.
30-Days-Of-Python
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Top 10 GitHub Repositories for Python and Java Developers
4. Asabeneh/30-Days-Of-Python - This repository presents a 30-day challenge for beginners to learn Python from the ground up. The course covers everything from the basics to more advanced topics like statistics, data analysis, and web development. https://github.com/Asabeneh/30-Days-Of-Python
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Top GitHub Resources to Level Up Your Python game
🎇 Repository Link: 30 Days of Python
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What are some alternatives?
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