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Getting Started with Python Programming and Scripting in Linux - Part 1. It has been said (and often required by recruitment agencies) that system administrators need to be proficient in a scripting language.

Getting Started with Python Programming and Scripting in Linux - Part 1

While most of us may be comfortable using Bash (or other shell of our choice) to run command-line scripts, a powerful language such as Python can add several benefits. To begin with, Python allows us to access the tools of the command-line environment and to make use of Object Oriented Programming features (more on this later in this article). On top of it, learning Python can boost your career in the fields of desktop applications and data science. Being so easy to learn, so vastly used, and having a plethora of ready-to-use modules (external files that contain Python statements), no wonder Python is the preferred language to teach programming to first-year computer science students in the United States. Python in Linux Python versions 2.x and 3.x are usually available in most modern Linux distributions out of the box. Then, you can install it as follows: Python Cheatsheet.

Python Basics. Python Tutorial - Home. Learn Python - Free Interactive Python Tutorial. O tutorial de Python — Python v2.7.2 documentation. Python é uma linguagem de programação poderosa e de fácil aprendizado.

O tutorial de Python — Python v2.7.2 documentation

Possui estruturas de dados de alto nível eficientes, bem como adota uma abordagem simples e efetiva para a programação orientada a objetos. Sua sintaxe elegante e tipagem dinâmica, além de sua natureza interpretada, tornam Python ideal para scripting e para o desenvolvimento rápido de aplicações em diversas áreas e na maioria das plataformas. O interpretador Python e sua extensa biblioteca padrão estão disponíveis na forma de código fonte ou binário para a maioria das plataformas a partir do site, e podem ser distribuídos livremente. No mesmo sítio estão disponíveis distribuições e referências para diversos módulos, programas, ferramentas e documentação adicional, contribuídos por terceiros.

Facebook. Use Python with Your Neural Networks. Neural Network Lab.

Use Python with Your Neural Networks

How to Create GUI Applications Under Linux Desktop Using PyGObject - Part 1. Creating applications on Linux can be done using different ways, but there are a limited ways of doing, so using the simplest and the most functional programming languages and libraries, that’s why we’re going to have a quick look about creating applications under the Linux desktop using the GTK+ library with Python programming language which is called “PyGObject”.

How to Create GUI Applications Under Linux Desktop Using PyGObject - Part 1

PyGObject uses the GObject Introspection to create binding for programming languages like Python, PyGObject is the next generation from PyGTK, you can say that PyGObject = Python + GTK3. Today, we’re going to start a series about creating GUI (Graphical User Interface) applications under the Linux desktop using GTK+ library and PyGobject language, the series will cover the following topics: Julia Calling Python Calling Julia...

Julia is a young programming language.

Julia Calling Python Calling Julia...

This means that its native libraries are immature. Build a web app with Python and Flask using DocumentDB. Discover more resources for these services: DocumentDB Scenario.

Build a web app with Python and Flask using DocumentDB

SMS Alerts with the Plushcap Python Package: Part 1. When your website crashes you can either hear about it from your alerting software or an angry customer.

SMS Alerts with the Plushcap Python Package: Part 1

That’s why a variety of hosted services exist to monitor websites. However, for small websites you often want a simple open source project that can be set up in a couple of minutes to get the monitoring job done. In this post we’ll walk through the creation of a monitoring and alerting Python package. This project is called Plushcap. Python Tutorial - javatpoint. Python is a simple, easy to learn, powerful, high level and object-oriented programming language.

Python Tutorial - javatpoint

Python is an interpreted scripting language also. Guido Van Rossum is known as the founder of python programming. Introduction to Python It covers the topics such as python programming, features, history, versions, how to install, example, how to execute, variables, keywords, identifiers, literals, operators and comments. Control Statement The control statement in python covers if statement, for loop, while loop, do while loop, break statement, continue statement and pass statement. Quickstart: Run a Gmail App in Python - Gmail API. Mocking in Python: A Guide to Better Unit Tests. How to Run Unit Tests Without Testing Your Patience More often than not, the software we write directly interacts with what we would label as “dirty” services.

Mocking in Python: A Guide to Better Unit Tests

In layman’s terms: services that are crucial to our application, but whose interactions have intended but undesired side-effects—that is, undesired in the context of an autonomous test run. Sharing Your Labor of Love: PyPI Quick And Dirty — Hynek Schlawack. A completely incomplete guide to packaging a Python module and sharing it with the world on PyPI.

Sharing Your Labor of Love: PyPI Quick And Dirty — Hynek Schlawack

Abstract Few things give me caremads like Python modules I want to use that aren’t on PyPI (pronounced “pie pee eye”, or “cheese shop”, not “pie pie”!). On the other hand – as pydanny points out – the current situation on packaging is rather confusing. Therefore I want to help everyone who has some great code but feels lost with getting it on PyPI. I will be using my latest opus “pem” as a realistic yet simple example of how to get a pure-Python 2 and 3 module packaged up, tested and uploaded to PyPI. I’ll keep it super simple to get everyone started. Tools Used This is not a history lesson, therefore we will use: pip 1.4+ (if you have no pip yet, bootstrapping is easy),setuptools 0.9+,and wheel 0.21+. Python 101: An Introduction to Python’s Debugger. Python comes with its own debugger module that is named pdb.

This module provides an interactive source code debugger for your Python programs. You can set breakpoints, step through your code, inspect stack frames and more. We will look at the following aspects of the module: Parallel Programming in Python. Using Python's multiprocessing module -- written by Sebastian Raschka June 20, 2014 CPUs with multiple cores have become the standard in the recent development of modern computer architectures and we can not only find them in supercomputer facilities but also in our desktop machines at home, and our laptops; even Apple's iPhone 5S got a 1.3 Ghz Dual-core processor in 2013.

However, the default Python interpreter was designed with simplicity in mind and has a thread-safe mechanism, the so-called "GIL" (Global Interpreter Lock). In order to prevent conflicts between threads, it executes only one statement at a time (so-called serial processing, or single-threading). Python from Scratch - Tuts+ Code Tutorials. S world. Discussions, questions, comments about Reeborg take place here. Bug reports are welcome! Basic commandsAbout ReeborgContribute Basic commands In addition to understanding Javascript, Reeborg, and all the other robots, know the following instructions: at_goal() at_goal_orientation() build_wall() done() front_is_clear() has_token() is_facing_north() move() put() or put("shape") where shape is one of "token", "triangle", "square" or "star" right_is_clear() repeat(f, n) shape_here() take() or take("shape") where shape is one of "token", "triangle", "square" or "star" token_here() turn_left() To create additional robots, one can use new UsedRobot() In addition, the following commands are available and are not tied to any robot in particular.

To find out more, follow the lessons. About Reeborg Inspired by Guido van Robot, itself inspired by the original Karel the Robot created by Richard Pattis, Reeborg first appeared in RUR-PLE, a program I created to learn Python, picking up programming as a hobby. Brython / brython-firefoxos-memos. Bitbucket is a code hosting site with unlimited public and private repositories. We're also free for small teams! Sign up for freeClose. PythonMonk - Interactive Python tutorials. The Python Hub. High Performance Python at PyDataLondon 2014. Yesterday I spoke on The High Performance Python Landscape at PyDataLondon 2014 (our first PyData outside of the USA – see my write-up).

I was blessed with a full room and interesting questions. With Micha I’m authoring a High Performance Python book with O’Reilly (email list for early access) and I took the topics from a few of our chapters. “@ianozsvald providing eye-opening discussion of tools for high-performance #Python: #Cython, #ShedSkin, #Pythran, #PyPy, #numba… #pydata” – @davisjmcc Overall I covered: Here’s my room full of happy Pythonistas “Really useful and practical performance tips from @ianozsvald @pydata #pydata speeding up #Python code” – @iantaylorfb Slides from the talk: UPDATE Armin and Maciej came back today with some extra answers about the PyPy-numpy performance (here and here), the bottom line is that they plan to fix it (Maciej says it is now fixed – quick service!). How to Create a Python Library. In this tutorial, our goal is to create a Python Library which is a FTP class that is well written, useful, and expandable. Outlining our Objective It’s always important to first outline exactly what functionality your class should include.

In our case: connecting to a servercreate a folder on the serverupload a filechange directoryretrieving the directory listingdownload a file When Would I Use an FTP Class? There are several instances when one might use this sort of class. Automate uploading of images, such as a gallery, to a client’s website.Perform off-site backups by transferring a database backup file from your server to another. Viva o Python: Dica: Git e Github para iniciantes. Python para Bioinformatas. Python Importing - Amir Rachum. Creating and running a Python unit test - PyCharm. Invent Your Own Computer Games with Python.

Teaching a Computer to Read. Scripted recently released a new feature called Experts, which allows us to efficiently and confidently group together expert writers in a given subject, the idea being that a business looking for experts in that field can easily find writers who are highly qualified (as both a writer and a domain expert) to write about it. Part of what determines whether a writer is a good fit for an Expert team is knowing how many pieces they’ve written about that team’s subject matter.

This entailed an interesting machine learning problem… The Problem. Python Quick Reference v2.7. How IPython Notebook and Github have changed the way I teach Python. S Python Class - Educational Materials. Wiki. Beginning Game Programming for Teens with Python. If you're new here, you may want to subscribe to my RSS feed or follow me on Twitter. Thanks for visiting! Writing a game in Python with Pygame. Part I.

Introduction Games are one of the most applicative areas of programming. To write even the simplest games, you have to get into graphics, math, physics and even AI.