Python Data Analytics and Visualization

Code repository for Python Data Analytics and Visualization by Packt

What you learn

Understand the importance of data analysis and get familiar with its processing steps
Get acquainted with NumPy to use with arrays and array-oriented computing in data analysis
Process and analyze data using the time-series capabilities of Pandas
Interact with different kind of database systems, such as file, disk format, Mongo, and Redis
Understand statistical and mathematical concepts behind predictive analytics algorithms
Analyze the result parameters arising from the implementation of predictive analytics algorithms
Recognize and mitigate various contingencies and issues
Use Pandas and NumPy to process and analyze data
Understand best practices while handling datasets and simple mathematical simulations
Data Visualization with Matplotlib
Interactive plotting with NumPy, Scipy, and MKL functions
Building financial models using Monte-Carlo simulations
Creating directed graphs and multi-graphs
Advanced visualization with D3