Announcements — IPython Python GIS Resources | The Ultimate Guide to Open-Source Geospatial Python Tools WebFrameworks A Web framework is a collection of packages or modules which allow developers to write Web applications (see WebApplications) or services without having to handle such low-level details as protocols, sockets or process/thread management. The majority of Web frameworks are exclusively server-side technology, although, with the increased prevalence of AJAX, some Web frameworks are beginning to include AJAX code that helps developers with the particularly tricky task of programming (client-side) the user's browser. At the extreme end of the client-side Web Frameworks is technology that can use the web browser as a full-blown application execution environment (a la gmail for example): see Web Browser Programming for details. Generally, frameworks provide support for a number of activities such as interpreting requests (getting form parameters, handling cookies and sessions), producing responses (presenting data as HTML or in other formats), storing data persistently, and so on.
A gallery of interesting IPython Notebooks · ipython/ipython Wiki This page is a curated collection of IPython notebooks that are notable for some reason. Feel free to add new content here, but please try to only include links to notebooks that include interesting visual or technical content; this should not simply be a dump of a Google search on every ipynb file out there. Important contribution instructions: If you add new content, please ensure that for any notebook you link to, the link is to the rendered version using nbviewer, rather than the raw file. Note that Matt Davis has conveniently written a set of bookmarklets and extensions to make it a one-click affair to load a Notebook URL into your browser of choice, directly opening into nbviewer. Table of Contents Entire books or other large collections of notebooks on a topic Introductory Tutorials Programming and Computer Science Introduction to Programming (using Python), an entire introductory Python course written by Eric Matthes. Statistics, Machine Learning and Data Science Signal Processing Ruby
Download Python OpenPGP Public Keys Source and binary executables are signed by the release manager or binary builder using their OpenPGP key. Release files for currently supported releases are signed by the following: Release files for older releases which have now reached end-of-life may have been signed by one of the following: Anthony Baxter (key id: 0EDD C5F2 6A45 C816)Georg Brandl (key id: 0A5B 1018 3658 0288)Martin v. You can import a person's public keys from a public keyserver network server you trust by running a command like: gpg --recv-keys [key id] or, in many cases, public keys can also be found at keybase.io. gpg --verify Python-3.6.2.tgz.asc Note that you must use the name of the signature file, and you should use the one that's appropriate to the download you're verifying. (These instructions are geared to GnuPG and Unix command-line users.) macOS Installer Packages Other Useful Items Looking for 3rd party Python modules? Want to contribute? Want to contribute?
Python - GIS Wiki | The GIS Encyclopedia From Wiki.GIS.com Python is a general-purpose high-level programming language, designed to be easily read. Python runs on Windows, Linux/Unix, Mac OS X, and has been ported to the Java and .NET virtual machines. [1] [edit] Python compared to other languages Python is said to be much shorter than other scripting languages such as Java and C++, but it requires longer run time, which can slow things down in large programs. Python's code is much more flexible as far as syntax goes compared to these "lower-level" languages. "Python can be written quickly and maintained easier than Java." [edit] Python in ArcGIS Python was introduced to ArcGIS with version 9.0. ESRI recommends using the version of Python (and additional packages) shipped together with the specific version of ArcGIS.[5] Python is used as the primary ArcGIS scripting language to perform geoprocessing tasks. [edit] Python support in different versions of ArcGIS [edit] ArcGIS 9.0/9.1 [edit] ArcGIS 9.2 [edit] ArcGIS 9.3/9.3.1
CheckIO Welcome to Spark Python API Docs! — PySpark 1.5.2 documentation Navigation Welcome to Spark Python API Docs!¶ Contents: Core classes:¶ pyspark.SparkContextMain entry point for Spark functionality.pyspark.RDDA Resilient Distributed Dataset (RDD), the basic abstraction in Spark.pyspark.streaming.StreamingContextMain entry point for Spark Streaming functionality.pyspark.streaming.DStreamA Discretized Stream (DStream), the basic abstraction in Spark Streaming.pyspark.sql.SQLContextMain entry point for DataFrame and SQL functionality.pyspark.sql.DataFrameA distributed collection of data grouped into named columns. Indices and tables¶ Search Page Table Of Contents Next topic pyspark package This Page Show Source Quick search Enter search terms or a module, class or function name. © Copyright .
Coding the Matrix: Linear Algebra through Computer Science Applications About the Course When you take a digital photo with your phone or transform the image in Photoshop, when you play a video game or watch a movie with digital effects, when you do a web search or make a phone call, you are using technologies that build upon linear algebra. Linear algebra provides concepts that are crucial to many areas of computer science, including graphics, image processing, cryptography, machine learning, computer vision, optimization, graph algorithms, quantum computation, computational biology, information retrieval and web search. In this class, you will learn the concepts and methods of linear algebra, and how to use them to think about problems arising in computer science. Recommended Background You should be an experienced programmer. You are not expected to have any background in linear algebra. Suggested Readings Coding the Matrix is an optional companion textbook.