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Following the Perl Cookbook (by Tom Christiansen and Nathan TorkingTon, published by O'Reilly) spirit, the PLEAC Project aims To gather fans of programming, in order To implement the solutions in other programming languages. In this document, you'll find an implementation of the Solutions of the Perl Cookbook in the Python language.

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Libraries are collection of functions and methods that enable you to perform a wide variety of actions without writing the code yourself. First of all, there are over 137.000 libraries in Python. In this article we are going to learn : Scientific Computing Libraries in Python Visualization Libraries in Python High-Level Machine Learning and Deep Learning Libraries in Python Deep Learning Libraries in Python Python Libraries for NLP ( Natural Language Processing )

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pyquery allows you to make jquery queries on xml documents. The API is as much as possible the similar to jquery. pyquery uses lxml for fast xml and html manipulation.

Many people, when first finding out about Google Web Toolkit, wonder "why can't I use Python instead of Java?". pyjamas is designed To make that possible. What is pyjamas? pyjamas is a stand-alone python To javascript compiler, an AJAX framework / library and a Widget set API. Why should I use it?

How to drop multiple columns in Pandas: Tricks. Let's see how easy are pandas dropping columns using the column index, name, and range.

Python Web Scraping to CSV

NumPy is the fundamental package for scientific computing in Python. Numpy stands for Numerical Python. If you want to work with machine learning or data science, Numpy is a Python library you will mostly use. It is a Python library that provides a multidimensional array object for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, and much more.

Configuring an app to use OAuth properly requires a bit of legwork. My goal with this post is to save people some time by showing the complete step-by-step process of building a Python script that can tweet from the command line using OAuth. I've intentionally skipped over the details of how OAuth works and what all the different authentication tokens mean. This post is just about getting things done.

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