Ipython. NumPy for MATLAB users – Mathesaurus. Help Searching available documentation Using interactively Operators Arithmetic operators Relational operators Logical operators root and logarithm Round off Mathematical constants Missing values; IEEE-754 floating point status flags Complex numbers Trigonometry Generate random numbers Vectors Sequences Concatenation (vectors) Repeating Miss those elements out Maximum and minimum Vector multiplication Matrices Concatenation (matrices); rbind and cbind Array creation Reshape and flatten matrices Shared data (slicing) Indexing and accessing elements (Python: slicing) Assignment Transpose and inverse Sum Sorting Matrix manipulation Equivalents to "size" Matrix- and elementwise- multiplication Find; conditional indexing Multi-way arrays File input and output Plotting Basic x-y plots Axes and titles Log plots Filled plots and bar plots Functions Polar plots Histogram plots 3d data Contour and image plots Perspective plots of surfaces over the x-y plane Scatter (cloud) plots Save plot to a graphics file Data analysis Set membership operators.
Topical Software - This page indexes add-on software and other resources relevant to SciPy, categorized by scientific discipline or computational topic. It is intended to be exhaustive. If you know of an unlisted resource, see About This Page, below. You may also want to take a look at the list of Scikits, Python packages oriented specifically at scientific computation tasks. The listings are roughly organized by topic, with introductory resources first, more general topics next, and discipline-specific resources last. Unless otherwise indicated, all packages listed here are provided under some form of open source license. If you distribute or know of a resource that is not listed here, please add a listing. Please include a description — be as brief as you can, but make sure you include in your text a link to the resource’s home page and some keywords that potential users might search for to find the resource. In addition, please also list your software on.
Emacs Tips for Python Programmers. How to exit from python without traceback. Configuring Emacs as a Python IDE | Pedro Kroger. This post is old and out-of-date. Most of the techniques here will not work with new Emacs versions. I’ll leave this post as a historical reference and in the hope it can still be useful to some people. There is a translation of this post in Serbo-Croatian language (thanks to Anja Skrba). Emacs is a huge beast. It can read email, play tetris, act as a file manager, display google maps, and even edit videos. It has support for many, many programming languages and has many features to programming. Unfortunately, emacs doesn’t have a full programming environment for python out-of-the-box. In this post I’ll show how to configure emacs to write Python programs. This setup is based on ipython and python-mode, but it’s also possible to use rope, ropemacs, and the auto complete mode as we can see here.
Tools installation and configuration First we should install the tools we need. python-mode. To configure ipython, edit ~/.ipython/ipy_user_conf.py and add your options. Ipython.el. Anything. InstallationHowto – Pida. Let me explain how we develop, so you can understand how to run Pida. Pida has a normal mode, and a development mode. Starting it with . /run-pida.py from the checkout causes it to go into development mode, which automatically adds the externals to the python module path and adds the pida-plugins directory to the plugin search path.
This helps developing with the latest tools while the system packages lag behind. If you intend to outback steakhouse coupons install Pida from trunk, you have to make sure to install each package from externals and have to make sure that it do not conflict with your distribution packages — this can cause strange errors… Running in developer mode, Pida makes sure that it uses the right packages. Requirements Warning: might be incomplete; please tell us if we missed something. We assume you know basic package-management. Everyone setuptools or distribute pygtkhelpers argparse (already included in Python 2 >= 2.7, and Python 3 >= 3.2) py (AKA pylib) base vim gvim emacs medit.
Python decorators.