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https://github.com/franzdiebold/data-science-cheat-sheets
A collection of Data Science cheat sheets.
https://github.com/franzdiebold/data-science-cheat-sheets
cheat-sheet cheat-sheets data-science pandas
Last synced: about 2 months ago
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A collection of Data Science cheat sheets.
- Host: GitHub
- URL: https://github.com/franzdiebold/data-science-cheat-sheets
- Owner: FranzDiebold
- License: mit
- Created: 2022-04-26T14:45:00.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-11-02T15:08:48.000Z (over 2 years ago)
- Last Synced: 2024-11-05T19:08:23.314Z (3 months ago)
- Topics: cheat-sheet, cheat-sheets, data-science, pandas
- Homepage:
- Size: 7.87 MB
- Stars: 41
- Watchers: 3
- Forks: 9
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# Data Science cheat sheets
A collection of Data Science cheat sheets.
## Table of contents
- [Data Extraction](#data-extraction)
- [SQL](#sql)
- [Python Regular expressions](#python-regular-expressions)
- [Data Processing](#data-processing)
- [Polars](#polars)
- [Pandas](#pandas)
- [PySpark](#pyspark)
- [Computer Vision](#computer-vision)
- [OpenCV](#opencv)
- [Visualization](#visualization)
- [Plotly Express](#plotly-express)
- [Choosing a good chart](#choosing-a-good-chart)
- [Chart guide](#chart-guide)
- [Modeling](#modeling)
- [Keras](#keras)
- [Infrastructure](#infrastructure)
- [Docker](#docker)## Data Extraction
### SQL
[![SQL cheat sheet](images/sql-cheat-sheet.png)](cheat-sheets/sql-cheat-sheet.pdf)
Source: [https://learnsql.com/tags/cheat-sheet/](https://learnsql.com/tags/cheat-sheet/)
### [Python Regular expressions](https://docs.python.org/3/library/re.html)
[![Python regular expressions cheat sheet](images/Python-regular-expressions-cheat-sheet.png)](cheat-sheets/Python-regular-expressions-cheat-sheet.pdf)
Source: [https://www.dataquest.io/blog/regex-cheatsheet/](https://www.dataquest.io/blog/regex-cheatsheet/)
## Data Processing
### [Polars](https://www.pola.rs/)
[![Polars cheat sheet](https://franzdiebold.github.io/polars-cheat-sheet/Polars_cheat_sheet.png)](https://franzdiebold.github.io/polars-cheat-sheet/Polars_cheat_sheet.pdf)
Source: [FranzDiebold/polars-cheat-sheet](https://github.com/FranzDiebold/polars-cheat-sheet)
### [Pandas](https://pandas.pydata.org/)
[![Pandas cheat sheet](images/Pandas-cheat-sheet.png)](cheat-sheets/Pandas-cheat-sheet.pdf)
Source: [https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf](https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf)
### [PySpark](https://spark.apache.org/docs/latest/api/python/)
[![PySpark cheat sheet](images/PySpark-cheat-sheet.png)](cheat-sheets/PySpark-cheat-sheet.pdf)
Source: [https://www.datacamp.com/cheat-sheet/pyspark-cheat-sheet-spark-dataframes-in-python](https://www.datacamp.com/cheat-sheet/pyspark-cheat-sheet-spark-dataframes-in-python)
## Computer Vision
### [OpenCV](https://opencv.org/)
[![OpenCV cheat sheet](images/OpenCV-cheat-sheet.png)](cheat-sheets/OpenCV-cheat-sheet.pdf)
Source: [https://github.com/a-anjos/python-opencv](https://github.com/a-anjos/python-opencv)
## Visualization
### [Plotly Express](https://plotly.com/python/plotly-express/)
[![Plotly Express cheat sheet](https://franzdiebold.github.io/plotly-express-cheat-sheet/Plotly_Express_cheat_sheet.png)](https://franzdiebold.github.io/plotly-express-cheat-sheet/Plotly_Express_cheat_sheet.pdf)
Source: [FranzDiebold/plotly-express-cheat-sheet](https://github.com/FranzDiebold/plotly-express-cheat-sheet)
### Choosing a good chart
[![Choosing a good chart](images/choosing-a-good-chart.png)](cheat-sheets/choosing-a-good-chart.pdf)
Source: [https://www.tapclicks.com/resources/blog/data-visualization-types/](https://www.tapclicks.com/resources/blog/data-visualization-types/)
### Chart guide
[![Chart Guide](images/ChartGuide.png)](cheat-sheets/ChartGuide.pdf)
Source: [https://chart.guide/poster/](https://chart.guide/poster/)
## Modeling
### [Keras](https://keras.io/)
[![Keras cheat sheet](images/Keras-cheat-sheet.png)](cheat-sheets/Keras-cheat-sheet.pdf)
Source: [https://www.datacamp.com/cheat-sheet/keras-cheat-sheet-neural-networks-in-python](https://www.datacamp.com/cheat-sheet/keras-cheat-sheet-neural-networks-in-python)
## Infrastructure
### [Docker](https://www.docker.com/)
[![Docker cheat sheet](images/Docker-cheat-sheet.png)](cheat-sheets/Docker-cheat-sheet.pdf)
Sources:
- [https://www.lostindetails.com/cheatsheet/docker/docker_blue_light1.pdf](https://www.lostindetails.com/cheatsheet/docker/docker_blue_light1.pdf)
- [https://dockerlux.github.io/pdf/cheat-sheet-v2.pdf](https://dockerlux.github.io/pdf/cheat-sheet-v2.pdf)