Data science is a multi-disciplinary most demanding skill in the 2020s. it is the concept to unify the statistics, data analysis, and related methods in order to identify the nuances of data. Every small-town Indian startup to Silicon Valley big tech giants is using data science powered techniques to identify the customer behaviors, patterns and understating the needs making the business strategy to sync with the customer and making optimal revenue.
New technology advancements in Data Science and AI revolution evolved from complex data processing solutions to voice recognition, image detection, and real-time predictions of stocks. The data enabled millions of opportunities for the next generation of young minds.
Python has an extensive set of data science and machine learning libraries and a huge community for support and development. Here we cover some best cheat sheets for the python, ML, and Data Science which will help as a quick reference for the concepts.
Note: all the cheat sheets belong to their respective owners and use them responsibly.
Python basics:
https://datacamp-community-prod.s3.amazonaws.com/e30fbcd9-f595-4a9f-803d-05ca5bf84612
https://github.com/ehmatthes/pcc/releases/download/v1.0.0/beginners_python_cheat_sheet_pcc_all.pdf
Data importing:
Data cleaning:
https://www.analyticsvidhya.com/blog/2015/06/quick-guide-text-data-cleaning-python/
Jupiter notebook:
https://datacamp-community-prod.s3.amazonaws.com/48093c40-5303-45f4-bbf9-0c96c0133c40
Fundamental python libraries:
Numpy:
https://www.hb.ucsc.edu/wp-content/uploads/2017/09/numpy.pdf
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Numpy_Python_Cheat_Sheet.pdf
Pandas:
https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf
https://datacamp-community-prod.s3.amazonaws.com/dbed353d-2757-4617-8206-8767ab379ab3
Scipy:
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_SciPy_Cheat_Sheet_Linear_Algebra.pdf
Data Visualization:
Matplotlib:
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Matplotlib_Cheat_Sheet.pdf
Bokhe:
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Bokeh_Cheat_Sheet.pdf
Plotly:
https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf
Big Data:
PySpark – RDDs:
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PySpark_Cheat_Sheet_Python.pdf
Pyspark- SQL:
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PySpark_SQL_Cheat_Sheet_Python.pdf
Machine Learning:
Sklearn:
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf
https://cheatography.com//damini/cheat-sheets/scikit-learn-for-machine-learning/pdf/
Natural Language Processing:
https://cheatography.com//murenei/cheat-sheets/natural-language-processing-with-python-and-nltk/pdf/
http://datacamp-community-prod.s3.amazonaws.com/29aa28bf-570a-4965-8f54-d6a541ae4e06
Deep Learning:
Tensorflow:
http://www.aicheatsheets.com/static/pdfs/tensorflow_v_2.0.pdf
pytorch:
https://www.simonwenkel.com/publications/cheatsheets/pdf/cheatsheet_pytorch.pdf
https://pytorch.org/tutorials/beginner/ptcheat.html
Keras:
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf
Neural networks / AI and other helpful resources:
See More: 50 best interview questions and responses.
I hope you like the collection of Data Science cheats sheets for python. There are thousands of online resources to learn new skills. if you like it, please share it with your friends.
