Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis.
The first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python’s most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for data frame management and data import, Matplotlib for drawing charts, and sci-kit learn for machine learning.
- Install Python and choose a development environment
- Understand the basic concepts of object-oriented programming
- Import, open, and edit files
- Review the differences between Python 2.x and 3.x
Who This Book Is For