Lire fichier docx sous mac

To access it via ipv4, you need to change the start up command like so: "php -S This, of course, requires the help of your hosts file. I wanted to write an API, and use. On Windows you may find useful to have a phpserver. Just a note to people who also use windows 8. And there is something else up in the notes saying something about you can't serve a project folder and a router file. Well, actually you can! At least for me. I fiddled around with the internal webserver and had issues regarding handling static files, that do not contain a dot and a file extension.

I am not certain if this is a bug, but I created a router. Instead I use fpassthru to do that. In addition to that, my router.

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Do NOT use the -t option if you want to use a router script, you can change current working directory to the web document root before launching the php built-in web server. Note that to listen on a naked IPv6 address, you have to strangely enclose the address in so-called square brackets. Django used to include a comments framework; since Django 1. This is that project.

It supports almost all record types.

Lire fichier docx sous mac

It can be used for queries, zone transfers, and dynamic updates. DukPy is a simple javascript interpreter for Python built on top of duktape engine without any external dependency. It comes with a bunch of common transpilers built-in for convenience. Arithmetic expression parser library. Embed customized expression evaluation into your application or library.

Fabric is a Python library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. 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.

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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.

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It is compatible with Python 2 and Python 3. This module consists of code extracted from the deprecated matplotlib. 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 [1] frequent pattern mining algorithm with bucketing optimization [2] 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.

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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.

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Py-cpuinfo gets CPU info with pure Python. Py-cpuinfo should work without any extra programs or libraries, beyond what your OS provides.

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It works with Python 2 and 3.