9 Python Analytics Libraries
Python & data analytics go hand in hand. Here is a list of 9 Python data analytics libraries. This list is going to be continuously updated here.
Pandas is a library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. Pandas is free software released under the three-clause BSD license
Statsmodels is a Python module that allows users to explore data, estimate statistical models, and perform statistical tests. An extensive list of descriptive statistics, statistical tests, plotting functions, and result statistics are available for different types of data and each estimator.
scikit-learn is an open source library for the Python. It features various classification, regression and clustering algorithms including support vector machines, logistic regression, naive Bayes, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.
Mlpy is a Python machine learning library built on top of NumPy/SciPy, the GNU Scientific Library. mlpy provides a wide range of machine learning methods for supervised and unsupervised problem.mlpy is multi platform, it works with Python 2 and 3.
NumPy is an open source extension module for Python. The module NumPy provides fast precompiled functions for numerical routines.
It adds support to Python for large, multi-dimensional arrays and matrices. Besides that it supplies a large library of high-level mathematical functions to operate on these arrays
SciPy is widely used in scientific and technical computing. SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
matplotlib is a plotting library for NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like wxPython, Qt, or GTK+.
The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs statistical natural language processing (NLP) for the Python. NLTK includes graphical demonstrations and sample data.NLTK has been used successfully as a platform for prototyping and building research systems.
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently
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Source: https://www.datasciencecentral.com/profiles/blogs/9-python-analytics-libraries-1
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