Pandas Tutorial

This repository contains the tutorials and solutions of the Excercises of Pandas Course on Kaggle by Aleksey Bilogur

Readers are suggested to fork the repository and run in their Jupyter Notebook for better experience. Any corrections, addition will be accepted and appreciated.

Pandas is a great Python package mainly used for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.

This repository contains almost all you need to know about Python-Pandas to begin with Data Science and Analytics. The repository contains 6 Tutorials each followed by an Excercise. The readers are suggested to try the Excercises at least twice, before jumping to the solutions. The order in which one should follow is,

Creating, Reading and Writing
Indexing, Selecting and Assigning
Summary Functions and Maps
Grouping and Sorting
Data Types and Missing values
Renaming and Combining

It also contains a Cheatsheet from DataCamp, which will be useful for quick revision once you complete the above tutorials and excercises.

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
.gitignore		.gitignore
Exercise_ Creating, Reading and Writing.ipynb		Exercise_ Creating, Reading and Writing.ipynb
Exercise_ Data Types and Missing Values.ipynb		Exercise_ Data Types and Missing Values.ipynb
Exercise_ Grouping and Sorting.ipynb		Exercise_ Grouping and Sorting.ipynb
Exercise_ Indexing, Selecting & Assigning.ipynb		Exercise_ Indexing, Selecting & Assigning.ipynb
Exercise_ Renaming and Combining.ipynb		Exercise_ Renaming and Combining.ipynb
Exercise_ Summary Functions and Maps.ipynb		Exercise_ Summary Functions and Maps.ipynb
PandasPythonForDataScience.pdf		PandasPythonForDataScience.pdf
PythonPandas.ipynb		PythonPandas.ipynb
README.md		README.md
creating-reading-and-writing.ipynb		creating-reading-and-writing.ipynb
data-types-and-missing-values.ipynb		data-types-and-missing-values.ipynb
grouping-and-sorting.ipynb		grouping-and-sorting.ipynb
indexing-selecting-assigning.ipynb		indexing-selecting-assigning.ipynb
renaming-and-combining.ipynb		renaming-and-combining.ipynb
summary-functions-and-maps.ipynb		summary-functions-and-maps.ipynb

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Pandas Tutorial

Readers are suggested to fork the repository and run in their Jupyter Notebook for better experience. Any corrections, addition will be accepted and appreciated.

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