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Fabric is a simple, Pythonic tool for remote execution and deployment py2. Falcon is a very fast, very minimal Python web framework for building microservices, app backends, and higher-level frameworks. Mizani is a scales package for graphics. Prophet is a procedure for forecasting time series data. It is based on an additive model where non-linear trends are fit with yearly and weekly seasonality, plus holidays. It works best with daily periodicity data with at least one year of historical data.
Prophet is robust to missing data, shifts in the trend, and large outliers. Flask is a microframework for Python based on Werkzeug, Jinja 2 and good intentions. This library is a spinoff from folium, that would host the non-map-specific features. Python module for calculating variance and adding confidence intervals to scikit-learn random forest regression or classification objects.
The core functions calculate an in-bag and error bars for random forest objects. This implements algorithms for geodesics Karney, for solving the direct and inverse problems for an ellipsoid of revolution. Grab is a python web scraping framework.
Grab provides tons of helpful methods to scrape web sites. The h5py package is a Pythonic interface to the HDF5 binary data format. Trillion-Particle Simulation. Hypercorn is an ASGI web server based on the sans-io hyper, h11, h2, and wsproto libraries and inspired by Gunicorn. Hyperopt is a Python library for serial and parallel optimization over awkwardsearch spaces, which may include real-valued, discrete, and conditional dimensions. HyperSpy is an open source Python library which provides tools to facilitate the interactive data analysis of multi-dimensional datasets that can be described as multi-dimensional arrays of a given signal e.
Hypothesis is an advanced testing library for Python. It lets you write tests which are parametrized by a source of examples, and then generates simple and comprehensible examples that make your tests fail. This lets you find more bugs in your code with less work. Library for reading and writing a wide range of image, video, scientific, and volumetric data formats for moviepy. It is compatible with scikit-learn and is part of scikit-learn-contrib projects. This is a low-level, pure Python DBus protocol client. This repository contains a collection of extensions that add functionality to the Jupyter notebook.
Keras Applications is the applications module of the Keras deep learning library. Keras Preprocessing is the data preprocessing and data augmentation module of the Keras deep learning library. It provides utilities for working with image data, text data, and sequence data. The images are read as numpy. Both TIFF strips and tiles are supported for low-level data storage.
MacroPy provides a mechanism for user-defined functions macros to perform transformations on the abstract syntax tree AST of a Python program at import time. This is an easy way to enhance the semantics of a Python program in ways which are otherwise impossible, for example providing an extremely concise way of declaring classes. Messy datasets? Missing values? It allows you to replace parts of your system under test with mock objects and make assertions about how they have been used. This module provides a monotonic function which returns the value in fractional seconds of a clock which never goes backwards.
It is compatible with Python 2 and Python 3. This module consists of code extracted from the deprecated matplotlib.
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Numcodecs is a Python package providing buffer compression and transformation codecs for use in data storage and communication applications. Formulate optimization problems using sympy expressions and solve them using interfaces to third-party optimization software e.
Orange is a component-based data mining software. It includes a range of data visualization, exploration, preprocessing and modeling techniques. It can be used through a nice and intuitive user interface or, for more advanced users, as a module for the Python programming language. This module implements FP-growth  frequent pattern mining algorithm with bucketing optimization  for conditional databases of few items.
Orange Network is an add-on for Orange data mining software package. It provides network visualization and analysis tools. Orange3 Text extends Orange3, a data mining software package, with common functionality for text mining. Further, it provides tools for preprocessing, constructing vector spaces like bag-of-words, topic modeling and word2vec and visualizations like word cloud end geo map.
All features can be combined with powerful data mining techniques from the Orange data mining framework. The module replicates a subset of pandas API and implements other functionalities for machine learning. Parso is a Python parser that supports error recovery and round-trip parsing for different Python versions in multiple Python versions.
Parso is also able to list multiple syntax errors in your python file. PBR is a library that injects some useful and sensible default behaviors into your setuptools run.
Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts and bubble charts. Py-cpuinfo gets CPU info with pure Python. Py-cpuinfo should work without any extra programs or libraries, beyond what your OS provides. It works with Python 2 and 3. With PyAudio, you can easily use Python to play and record audio streams on a variety of platforms e. PyContracts is a Python package that allows to declare constraints on function parameters and return values, setup for version 1.
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It supports python 2. Pygit2 is a set of Python bindings to the libgit2 shared library, libgit2 implements the core of Git. A Python profiler that records the call stack of the executing code, instead of just the final function in it. Pymatgen Python Materials Genomics is a robust, open-source Python library for materials analysis.
Pympler is a development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application. Pyrsistent is a number of persistent collections by some referred to as functional data structures. Persistent in the sense that they are immutable. PySAL is an open source library of spatial analysis functions written in Python intended to support the development of high level applications.
A module provides basic functions for parsing mime-type names and matching them against a list of media-ranges. Python Utils is a module with some convenient utilities not included with the standard Python install. Python bindings for the winpty pseudo terminal library. It allows to create and communicate with Windows processes that print outputs and recieve inputs via console input and output pipes.
It allows rapid creation of rich PDF documents, and also creation of charts in a variety of bitmap and vector formats.
Retrying is an Apache 2. SCOOP Scalable COncurrent Operations in Python is a distributed task module allowing concurrent parallel programming on various environments, from heterogeneous grids to supercomputers. This is a plugin for setuptools that enables git integration. Once installed, Setuptools can be told to include in a package distribution all the files tracked by git. For more information about Multivariate Adaptive Regression Splines, see the references below. This Python module provides bindings for the PortAudio library and a few convenience functions to play and record NumPy arrays containing audio signals.
Spectrum contains tools to estimate Power Spectral Densities using methods based on Fourier transform, Parametric methods or eigenvalues analysis. It makes use of numpy for fast numerical computation.
PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. Traceback fiddling library. For now allows you to pickle tracebacks and raise exceptions with pickled tracebacks in different processes. This allows better error handling when running code over multiple processes imagine multiprocessing, billiard, futures, celery etc. TextBlob is a Python 2 and 3 library for processing textual data. It provides a simple API for diving into common natural language processing NLP tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
It supports the full syntax and error handling for CSS 2. TPOT is a Python tool that automatically creates and optimizes machine learning pipelines using genetic programming. Transaction management for Python. This package contains a generic transaction implementation for Python. It is mainly used by the ZODB. Allows decomposing each prediction into bias and feature contribution components.
Notebooks with embedded visualizations can be viewed on github and nbviewer. Uses cpuid instruction to get information about CPU. The Zope Object Database provides an object-oriented database for Python that provides a high-degree of transparency.