Data Analysis is a process for obtaining raw data and subsequently converting it into information useful for decision-making by users. The need for analyzing data to utilize it in different application areas has been in great demand.
This kit has been curated with
✅ Easy to use open source repos to get you started
✅ popular and easy to use Data Analysis specific libraries
✅ Collection of Data Analysis resources - blogs, books, tutorials, and more
✅ Example program on Data Analysis in Jupyter (Recording of the training session provided)
Pandas for Data Analysis
Pandas adds data structures and tools designed to work with table-like data (in the form of Series and Data Frames)
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Python Libraries for Mathematical Computations
NumPy allows to easily perform advanced mathematical and statistical operations on multidimensional arrays and matrices.
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numpy-100by rougier
Python Updated: 10 mo ago License: Permissive
100 numpy exercises (with solutions)
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Kit Solution source Link
Here's a project with the installer, source code, and step-by-step tutorial that you can build in under 30 mins.
Example project on Weight Conversion in python
Link for getting started with Python Kit
Basics of Python Programming