Data Science (python packages)

Data Science (python packages)

Data Science (python packages) (16)

Tensor Flow

An open-source software library for Machine Intelligence

Scikit Learn

scikit-learn. Machine Learning in Python.

MatplotLib

2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.

Scrapy

import scrapy class BlogSpider(scrapy.Spider): name = 'blogspider' start_urls = ['http://blog.scrapinghub.

NLTK

Natural Language Toolkit¶ NLTK is a leading platform for building Python programs to work with human language data.

Numpy

NumPy is the fundamental package for scientific computing with Python.

Networkx

NetworkX (NX) is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

Pybrain

Welcome to PyBrain. PyBrain is a modular Machine Learning Library for Python.

Sourceforge Statsmodels

Statsmodels¶ Statsmodels is a Python module that allows users to explore data, estimate statistical models, and perform statistical tests.

Pytables

Welcome to PyTables’ documentation!¶ PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large .

Shogun Toolbox

Unified and efficient Machine Learning Since 1999, Shogun is for: practitioners: wide range of standard and cutting-edge algorithms

Seaborn

Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.

Pydata Bokeh

Bokeh visualization library, documentation site.

SymPy Gamma

SymPy is a Python library for symbolic mathematics.

Pandas

pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming langua

mlpy - Machine Learning Python

mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and the GNU Scientific Libraries.

 
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