In this notebook I have seen how to grab some raw data and create some interesting charts using Pandas and Matplotlib. I have: * used .groupby() to explore the number of posts and entries per programming language * converted strings to Datetime objects with to_datetime() for easier plotting * reshaped the DataFrame by converting categories to colu

Personal assistant that can work with address book and notes. Using currying and command parser for Adress Book. Decorator catches all possible errors. Saves data locally in JSON files. Includes Extension File Sorter as a separate sub-application. This specific version was made by team of 6 people as personal project.

Notebooks and examples of datascience and imputation

A notebook that showcase methodology to generate Call Detail Records with fake numbers, locations, logs and other necessary details to mine data for analysis.