Python Packages for Financial analysis

1. NumPy: The realization of a variety of array object functions and Fourier transform and other scientific computing modules.
2. SciPy: Provides more scientific computing functions, including matrices, solving linear equations, integral operations, optimization, etc.
3. Matplotlib: A cross-platform numerical drawing package to draw high-quality 2d,3d images.
4. mysql for python:python operation interface software package for MySQL database.
5. PyQT: a qt Python Interface GUI Development package .
6. XLRD: Develop a tool library that extracts data from Microsoft Excel.
7. RPy2: The famous statistical software R Python interface package , can execute various R function functions within python .
8. Networkx: A tool for analyzing network data.
9. SymPy: Contains algebraic evaluation,differentiation,expansion,complex numbers and other functions.
Boost. python: A C + + library that provides interoperability between C + + and Python .
PYMC: A Python class that implements the MH algorithm, providing flexible modeling capabilities.
SimPy: An object-oriented, process-and discrete-event-based simulation language that has a modeling environment based on the overall delivery of agents.
Pycluster: Efficient inheritance and implementation of K-means clustering.
NLTK: A natural language tool for symbols and statistics applied in the Python environment.
WxPython: A set of Python extension modules, cross-platform, including various GUI classes developed from Wxwidgets.

Python Packages for Financial analysis