diff --git a/Cheat Sheets/Matplotlib.md b/Cheat Sheets/Matplotlib.md new file mode 100644 index 0000000000..d83c6f8dab --- /dev/null +++ b/Cheat Sheets/Matplotlib.md @@ -0,0 +1,27 @@ +# Matplotlib Resources +# Resources for learning Matplotlib + + + +- [Matplotlib Documentation](https://matplotlib.org/): Matplotlib documentation is a great learning resource, This includes tutorials on several features. + +- [Python for Data Visualization: Matplotlib & Seaborn](https://www.coursera.org/projects/python-for-data-visualization-Seaborn): This is coursera guided projects which will cover tools like Matplotlib and teach data visualization through project, you will learn essential techniques of Matplotlib using Python programming language. + +- [Python for Data Science - Course for Beginners ](https://www.youtube.com/watch?v=LHBE6Q9XlzI): This is a free tutorial by freecodecamp on seaborn for Data science beginners. + +- [Matplotlib cheatsheet](https://matplotlib.org/cheatsheets/):This cheatsheet is really for anyone who want to go through pandas commands. + + +![](https://matplotlib.org/cheatsheets/_images/cheatsheets-1.png) + +![](https://matplotlib.org/cheatsheets/_images/cheatsheets-2.png) + + +![](https://matplotlib.org/cheatsheets/_images/handout-tips.png) + +![](https://matplotlib.org/cheatsheets/_images/handout-beginner.png) + +![](https://matplotlib.org/cheatsheets/_images/handout-intermediate.png) + + + diff --git a/Cheat Sheets/Numpy.md b/Cheat Sheets/Numpy.md new file mode 100644 index 0000000000..3a937f6183 --- /dev/null +++ b/Cheat Sheets/Numpy.md @@ -0,0 +1,24 @@ + +# Numpy Resources +# Resources for learning Numpy + +![](https://numpy.org/images/logo.svg) + +- [Numpy Documentation](https://numpy.org/doc/): NumPy documentation offers a great learning material for beginners, This will explains what this library is and how it works. The official document will help you learn NumPy from scratch + +- [Master Numpy Foundation and Practice Challenging Exercises](https://www.udemy.com/course/master-numpy-foundation-and-practice-challenging-exercises/): In this course, you will learn essential techniques of Numpy using Python programming language. This course have a rating of approx 5. + +- [Python NumPy Tutorial for Beginners](https://youtu.be/QUT1VHiLmmI/): This is a free 58 minutes Numpy course designed for Python programmers and Data science beginners. + +- [Numpy Tutorial in Hindi](https://www.youtube.com/watch?v=Rbh1rieb3zc): This is a fully online free tutorial from Code with Harry on Numpy. This tutorial is around 1 hour in length and having lakhs of views. + +- [Numpy cheatSheet pdf](https://www.tutorialspoint.com/numpy/numpy_tutorial.pdf): This cheatsheet will help you to go through Numpy commmands fastly. + + +[datacamp Numpy](http://datacamp-community-prod.s3.amazonaws.com/ba1fe95a-8b70-4d2f-95b0-bc954e9071b0) + +![](..%5C..%5C..%5CDownloads%5Cnumpy_page-0001.jpg) + + + + diff --git a/Cheat Sheets/Pandas.md b/Cheat Sheets/Pandas.md new file mode 100644 index 0000000000..38ba9b6923 --- /dev/null +++ b/Cheat Sheets/Pandas.md @@ -0,0 +1,20 @@ +# Pandas Resources +# Resources for learning Pandas + +![](https://i.redd.it/c6h7rok9c2v31.jpg) + +- [Pandas Documentation](https://pandas.pydata.org/pandas-docs/stable/): Pandas documentation offers a great learning material for beginners, This will explains what this library is and how it works. The official document will help you learn Pandas from scratch + +- [Data Analysis with Pandas and Python](https://www.udemy.com/course/data-analysis-with-pandas/): In this course, you will learn essential techniques of Pandas using Python programming language. This course have a rating of approx 5. + +- [The Complete Pandas Bootcamp 2022: Data Science with Python](https://www.udemy.com/course/the-pandas-bootcamp/): This is a comprehensive Pandas course having rating above 4.5 stars for Python programmers and Data science beginners. + +- [Pandas course on kaggle](https://www.kaggle.com/learn/pandas): This is a fully online free course on kaggle. It also includes excercises for practicing pandas commands. + +- [Pandas cheatSheet pdf](https://www.tutorialspoint.com/numpy/numpy_tutorial.pdf): This cheatsheet is really for anyone who want to go through pandas commands. + + +![](..%5C..%5C..%5CDownloads%5Cinbox_4627242_02a5b40be2beeae7a7308ffc5be5f796_0001%20(1).jpg) + + +![](..%5C..%5C..%5CDownloads%5Cinbox_4627242_bf68e77c3fa40393f967cf2d3cae5ed4_0002.jpg) diff --git a/Cheat Sheets/seaborn.md b/Cheat Sheets/seaborn.md new file mode 100644 index 0000000000..117713f4f7 --- /dev/null +++ b/Cheat Sheets/seaborn.md @@ -0,0 +1,15 @@ +# Seaborn Resources +# Resources for learning Seaborn + +![](https://miro.medium.com/max/1400/1%2AZouWFNqyuFP5dBtqKdiNfA.jpeg) + +- [Seaborn Documentation](https://seaborn.pydata.org/): Seaborn documentation is a great learning resource, This includes tutorials on several features. + +- [Python for Data Visualization: Matplotlib & Seaborn](https://www.coursera.org/projects/python-for-data-visualization-seaborn): This is coursera guided projects which will cover tools like seaborn and teach data visualization through project, you will learn essential techniques of Seaborn using Python programming language. + +- [Python Seaborn Data Visualization Tutorial for Beginners](https://www.youtube.com/watch?v=MGOcVAOuXxo&list=PL6_D9USWkG1Bu9oQHvqAeurX-hhq_mZNi): This is a free tutorial by Abhisek Agarwal on seaborn for Python programmers and Data science beginners. + +- [seaborn cheatsheet](http://datacamp-community-prod.s3.amazonaws.com/263130e2-2c92-4348-a356-9ed9b5034247):This cheatsheet is really for anyone who want to go through pandas commands. + + +![](https://miro.medium.com/max/1400/0%2Ag8Gly9eY14tiDcuL.png) \ No newline at end of file