Announcements — IPython FAQs | Parallella —————————————————————————–Help: Q: Where can I go to get help with Parallella? A: The Parallella is a community supported project. The best place to start is Q: How do I create a Parallella SD from scratch in Linux? A: Please see directions at Q: How do I backup an SD card using Linux? Q: How do create a new SD card using Linux? % sync Q: How do I connect a UART serial cable to Parallella? Q: How can I access the GPIO signals? Q: How do I find my board MAC ID? —————————————————————————– General: Q: When will the Parallella be generally available? Q: Who is Adapteva? Q: What is Parallella? Q: How do I get involved? Q: How can I contribute to the Parallella project? Q: Is Parallella really open source? Q: Do you offer University discounts? —————————————————————————– Technical Q/A: Q: How is Parallella different from the Rasperry Pi? Q: Is it possible create custom bit streams for the FPGA logic on the Parallella?
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?
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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.
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IPython Notebook: Javascript/Python Bi-directional Communication I've been working with javascript and the IPython notebook recently, and found myself in need of a way to pass data back and forth between the Javascript runtime and the IPython kernel. There's a bit of information about this floating around on various mailing lists and forums, but no real organized tutorial on the subject. Partly this is because the tools are relatively specialized, and partly it's because the functionality I'll outline here is planned to be obsolete in the 2.0 release of IPython. Nevertheless, I thought folks might be interested to hear what I've learned. Executing Python Statements From Javascript¶ The key functionality needed for interaction between javascript and the IPython kernel is the kernel object in the IPython Javascript package. var kernel = IPython.notebook.kernel; kernel.execute(command); where command is a string containing python code. In [1]: After pressing Accessing Python Output In Javascript¶ And then we'll manipulate this value via Javascript: In [4]: