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Spyderlib

Spyderlib
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Python Python support in NetBeans This project is a community driven effort. Oracle does not actively participate in or directly support this effort. To get the latest development builds of the Python IDE, see the How to install page. You can browse the sources of the Python support at Before being moved to Mercurial, the project was hosted at Getting Started Tips to build the sources: NbPythonHgBuild Getting a bleeding edge build: PythonInstall Introduction to Python EA in NetBeans IDE: Using the NetBeans IDE for Python Development: NetBeansPythonTutorial. Mailing lists There are several mailing lists serving different purposes: Old mailing list archives can be found at Sewa mobil jakarta See also Jual vertical blind Features Code completion Code completion is available for In addition, documentation is shown when available. Smart Indent, Outdent, and Pair matching Editor Hints

NINJA IDE | Ninja-ide Is Not Just Another IDE The Eric Python IDE Learning MIT Calculus in 5 Days To access the course for free, click here. Last week marked week one of my MIT Challenge, to learn their 4-year computer science curriculum in 12 months, without taking classes. As you can watch in the video above, this week was calculus. I started the class on Monday and wrote the exam on Friday afternoon. This meant I had roughly 4.5 days to watch 30+ hours of video lectures, understand all the concepts and master the math enough to pass a 3-hour comprehensive exam. Why Bother Learning Calculus? First though, why bother learning calculus at all? I happen to think calculus is cool, and that’s not only because I’m a huge geek. For learning computer science, for example, calculus allows you to run machine learning algorithms in artificial intelligence, render 3D computer graphics and create physics engines for video games. More, learning calculus in this challenge is also a statement about the benefits of theoretical versus practical knowledge. That’s the main goal of this MIT Challenge.

Use Code::Blocks for Python programming I do regularly, but I am in the minority. The reason I do is because i also use c/c++ quite a bit, for which there is no peer for C::B (biased of course). C::B has a lot of nice features that make it a good general purpose editor. With just a little work you can set up python projects. Alternatively use the FileManager plugin and Tools+ plugin to view your script directory and configure launchers for your favorite python (or any other) tools. I started work on a python debugger. At some point I had implemented a plugin that did code checks and highlighted errors. I have wanted to work on code completion and browsing tools for quite a few years but it is a big job. I should put together a wiki entry... Other alternatives:1. There are commercial offerings as well (some free) but I won't recommend those.

PySide – Python for Qt Python Community Group News I’m glad to share a new project called Python for Android. The goal of this project is to package your python application into an APK. The project is under the umbrella of Kivy organization, but is not designed to be limited to Kivy only. Read the documentation to correctly install the NDK/SDK Android, and set the needed environment variables. The packaging is done in 4 steps: 1. Creating the python distribution is as simple as that: # create a simple distribution with python + PIL + Kivy . A directory dist/default will be created, including the result of the whole arm compilation. The second step is a little bit harder, since you need to provide more information for Android: cd dist/default . Then you’ll get a nicely bin/touchtracer-1.0-debug.apk Pro: A blacklist.txt file that can be used to exclude files in the final APKReusable distribution for other applicationsModular recipes architectureBe able to build independents python distributions Cons:

Fun Kids Online Math Games "Sheppard offers everything from early math to pre-algebra. The lessons include interactive activities to practice concepts. Students can shoot fruit, pop balloons, and even play math man (the math version of pac man!). Fractions, place value, money, and basic operations are some of the areas that are covered. Check it out at " --Shannon Jakeman , sjakeman.blogspot.com "Online math games, like the ones that you'll find for free at Sheppard Software, provide a valuable opportunity for children to learn a great deal while they're having fun. It can be very difficult for parents to find productive and worthwhile activities for children on the Internet; however fun online math games do offer a wonderful alternative. This free section of Sheppard Software was written for children. Sheppard Software offers a couple of cute games for the youngest math students. For slightly older kids, there are a number of very popular arcade-style "popup" math games.

fortharris/Pcode PySide_Binaries_Linux English French [qt-devnet.developpez.com] If your distributions is not listed here, check out Building PySide on Linux for how to build PySide yourself from source. You might also want to build from source if the packages in your distribution are outdated. Ubuntu Maintainer: Didier Raboud (OdyX) This is the easiest way to get PySide installed on your Ubuntu system. Didier, together with the PySide core dev team, maintains a PPA repository for Ubuntu. Pyside is in the official Ubuntu repos for precise (12.04) onward. sudo apt-get install python3-pyside For older releases, you need the ppa: sudo add-apt-repository ppa:pysidesudo apt-get update To install all the modules: sudo apt-get install python-pyside If you need just one module (e.g. sudo apt-get install python-pyside.qtgui If you want to use PySide with Python3.x, replace by So to install all the PySide modules : Debian apt-get install python-pyside Alternatively, you can install PySide module packages individually, e.g. Fedora openSUSE Git clone:

Python Programming in your Browser: PythonAnywhere kdev-python 1.4 stable released! I'm happy to announce the release of the first stable version of kdev-python, version 1.4! As this is the first stable release, this post is supposed to be an overview about what kdev-python actually does. First of all, kdev-python is a plugin for KDevelop. Its purpose is to make development of python applications more convenient. The main focus of the program is static analysis of source code, and providing features which use the information gathered, such asSemantic syntax highlighting (not the regex-stuff kate does, but real highlighting, showing your defined functions colorized etc.)Intelligent code completion, depending on where the cursor is and what variables exist etc.Navigation features, such as Jump to Declaration, searching for functions/classes, class browser, ...and many more There's also a few features other than static code analysis, such as debugger integration, but the former is clearly the main focus of the project. kdev-python itself is written in C++. Installation

Building_PySide_on_Linux English French [qt-devnet.developpez.com] PySide uses CMake’s system to build the source code packages. You can familiarize yourself with CMake at PySide_CMake_Primer. The Easy Way There is now a “BuildScripts” repository available on GitHub: With this repository, you can automate the build steps outlined in this Wiki page. Prerequisites CMake >= 2.6.0 Qt libraries and development headers >= 4.6 (preferably the latest stable release) libxml2 and development headers >= 2.6.32 (for apiextractor only) libxslt and development headers >= 1.1.19 (for apiextractor only) Python libraries and development headers >= 2.5 (for shiboken and pyside) Overview PySide consists of a chain of four interdependent packages: The API Extractor library is used by the bindings generator to parse the header and typesystem files to create an internal representation of the API. Getting the source code Alternatively, you can get the latest development branch from the repos: Sandbox #! #!

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