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

Note

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