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)
Python 36783 Version:1.5.2 License: Permissive (BSD-3-Clause)
Python Libraries for Mathematical Computations
NumPy allows to easily perform advanced mathematical and statistical operations on multidimensional arrays and matrices.
Kit Solution source Link
Open Weaver – Develop Applications Faster with Open Source