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WinPython-3.4.4.1_History.md

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History of changes for WinPython 3.4.4.1

The following changes were made to WinPython distribution since version 3.4.3.7.

Tools

New packages:

  • Pandoc 1.13.1 (a universal document converter)

Removed packages:

  • SciTE 3.3.7 (SCIntilla based Text Editor - Multilanguage, powerful and light-weight text editor)

Python packages

New packages:

  • cloudpickle 0.1.1 (Extended pickling support for Python objects)

  • flask-cors 2.1.2 (A Flask extension adding a decorator for CORS support)

  • geopy 1.11.0 (Python Geocoding Toolbox)

  • idlex 1.13 (IDLE Extensions for Python)

  • ptpython 0.28 (Python REPL build on top of prompt_toolkit)

  • pyreadline 2.1 (IPython needs this module to display color text in Windows command window)

  • xarray 0.7.0 (N-D labeled arrays and datasets in Python)

Upgraded packages:

  • alabaster 0.7.6 → 0.7.7 (A configurable sidebar-enabled Sphinx theme)

  • astroid 1.4.1 → 1.4.4 (Rebuild a new abstract syntax tree from Python's ast (required for pylint))

  • babel 2.1.1 → 2.2.0 (Internationalization utilities)

  • blaze 0.8.3 → 0.9.1 (Blaze)

  • bokeh 0.10.0 → 0.11.1 (Statistical and novel interactive HTML plots for Python)

  • bqplot 0.5.0 → 0.5.1 (Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets.)

  • cffi 1.3.1 → 1.5.0 (Foreign Function Interface for Python calling C code.)

  • colorama 0.3.3 → 0.3.5 (Cross-platform colored terminal text)

  • dask 0.7.5 → 0.7.6 (Minimal task scheduling abstraction)

  • datashape 0.5.0 → 0.5.1 (A data description language)

  • guidata 1.7.4 → 1.7.5 (Automatically generated graphical user interfaces for easy data set edition and display)

  • guiqwt 3.0.1 → 3.0.2 (Efficient curve/image plotting and other GUI tools for scientific data processing software development)

  • holoviews 1.4.0 → 1.4.1 (Composable, declarative data structures for building complex visualizations easily.)

  • ipykernel 4.2.1 → 4.2.2 (IPython Kernel for Jupyter)

  • ipyparallel 4.1.0 → 5.0.0 (Interactive Parallel Computing with IPython)

  • ipython 4.0.1 → 4.1.1 (Enhanced Python shell)

  • jedi 0.8.1 → 0.9.0 (An autocompletion tool for Python that can be used for text editors)

  • joblib 0.9.3 → 0.9.4 (Lightweight pipelining: using Python functions as pipeline jobs.)

  • jupyter-console 4.0.3 → 4.1.0 (Jupyter metapackage. Install all the Jupyter components in one go.)

  • keras 0.3.0 → 0.3.1 (Theano-based Deep Learning library)

  • matplotlib 1.5.0 → 1.5.1 (2D plotting library (embeddable in GUIs created with PyQt))

  • netcdf4 1.2.1 → 1.2.2 (python/numpy interface to netCDF library (versions 3 and 4))

  • notebook 4.0.6 → 4.1.0 (# Jupyter Notebook)

  • numpy 1.9.3 → 1.10.4 (NumPy: multidimensional array processing for numbers, strings, records and objects (SciPy''s core module))

  • oct2py 3.3.3 → 3.4.0 (Python to GNU Octave bridge --> run m-files from python.)

  • odo 0.3.4 → 0.4.1 (Data migration in Python)

  • pep8 1.6.2 → 1.7.0 (Python style guide checker)

  • pickleshare 0.5 → 0.6 (Tiny 'shelve'-like database with concurrency support)

  • pillow 3.0.0 → 3.1.1 (Python Imaging Library (fork))

  • pip 7.1.2 → 8.0.2 (A tool for installing and managing Python packages)

  • prompt-toolkit 0.54 → 0.57 (Library for building powerful interactive command lines in Python)

  • psutil 3.3.0 → 3.4.2 (Provides an interface for retrieving information on all running processes and system utilization (CPU, disk, memory, network) in a portable way)

  • pulp 1.5.9 → 1.6.1 (PuLP is an LP modeler written in python. PuLP can generate MPS or LP files and call GLPK, COIN CLP/CBC, CPLEX, and GUROBI to solve linear problems)

  • pygments 2.0.2 → 2.1 (Generic syntax highlighter for general use in all kinds of software)

  • pylint 1.5.1 → 1.5.4 (Logilab code analysis module: analyzes Python source code looking for bugs and signs of poor quality)

  • pymongo 3.1.1 → 3.2 (Python driver for MongoDB http://www.mongodb.org)

  • pyparsing 2.0.6 → 2.0.7 (A Python Parsing Module)

  • pyserial 2.7 → 3.0.1 (Library encapsulating the access for the serial port)

  • pytest 2.8.4 → 2.8.5 (pytest: simple powerful testing with Python)

  • Python 3.4.3 → 3.4.4 (Python programming language with standard library)

  • pythonqwt 0.5.3 → 0.5.5 (Qt plotting widgets for Python)

  • pywin32 219 → 220 (Python library for Windows)

  • pyzmq 15.1.0 → 15.2.0 (Lightweight and super-fast messaging based on ZeroMQ library (required for IPython Qt console))

  • qtpy 0.1.2 → 0.1.3 (Provides an abstraction layer on top of the various Qt bindings (PyQt5, PyQt4 and PySide) and additional custom QWidgets.)

  • requests 2.8.1 → 2.9.1 (Requests is an Apache2 Licensed HTTP library, written in Python, for human beings.)

  • requests-toolbelt 0.5.0 → 0.5.1 (Requests is an Apache2 Licensed HTTP library, written in Python, for human beings.)

  • rpy2 2.7.4 → 2.7.8 (Python interface to the R language (embedded R))

  • scipy 0.16.1 → 0.17.0 (SciPy: Scientific Library for Python (advanced math, signal processing, optimization, statistics, ...))

  • seaborn 0.7.0.dev0 → 0.7.0 (statistical data visualization)

  • setuptools 18.7.1 → 19.6.2 (Download, build, install, upgrade, and uninstall Python packages - easily)

  • snowballstemmer 1.2.0 → 1.2.1 (This package provides 16 stemmer algorithms (15 + Poerter English stemmer) generated from Snowball algorithms.)

  • sphinx 1.3.3 → 1.3.5 (Tool for generating documentation which uses reStructuredText as its markup language)

  • sqlalchemy 1.0.9 → 1.0.11 (SQL Toolkit and Object Relational Mapper)

  • traitlets 4.0.0 → 4.1.0 (Traitlets Python config system)

  • twine 1.6.4 → 1.6.5 (Collection of utilities for interacting with PyPI)

  • wcwidth 0.1.5 → 0.1.6 (Measures number of Terminal column cells of wide-character codes)

  • werkzeug 0.11.2 → 0.11.3 (The Swiss Army knife of Python web development)

  • wrapt 1.10.5 → 1.10.6 (A Python module for decorators, wrappers and monkey patching.)

  • xlsxwriter 0.7.7 → 0.8.4 (A Python module for creating Excel XLSX files.)

Removed packages:

  • xray 0.6.1 (N-D labeled arrays and datasets in Python)