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Programming With Python

Submitted by Roy Schestowitz on Friday 12th of July 2019 09:34:48 AM Filed under
Development
  • For loop in Django template

    For loop is used to iterate over any iterable object, accessing one item at a time and making it available inside the for loop body.

  • Creating custom template tags in Django

    Sometimes existing templates tags are not enough for rebellious developers. They need to create custom template tags to use.

  • Python Anywhere: Using our file API

    Our API supports lots of common PythonAnywhere operations, like creating and managing consoles, scheduled and always-on tasks, and websites. We recently added support for reading/writing files; this blog post gives a brief overview of how you can use it to do that.

  • Make an RGB cube with Python and Scribus

    When I decided I wanted to play with color this summer, I thought about the fact that colors are usually depicted on a color wheel. This is usually with pigment colors rather than light, and you lose any sense of the variation in color brightness or luminosity.

    As an alternative to the color wheel, I came up with the idea of displaying the RGB spectrum on the surfaces of a cube using a series of graphs. RGB values would be depicted on a three-dimensional graph with X-, Y-, and Z-axes. For example, a surface would keep B (or blue) at 0 and the remaining axes would show what happens as I plot values as colors for R (red) and G (green) from 0 to 255.

    It turns out this is not very difficult to do using Scribus and its Python Scripter capability. I can create RGB colors, make rectangles showing the colors, and arrange them in a 2D format. I decided to make value jumps of 5 for the colors and make rectangles measuring 5 points on a side. Thus, for each 2D graph, I would make about 250 colors, and the cube would measure 250 points to a side, or 3.5 inches.

  • Wing Python IDE 7.0.4

    Wing 7 introduces an improved code warnings and code quality inspection system that includes built-in error detection and tight integration with Pylint, pep8, and mypy. This release also adds a new data frame and array viewer, a MATLAB keyboard personality, easy inline debug data display with Shift-Space, improved stack data display, support for PEP 3134 chained exceptions, callouts for search and other code navigation features, four new color palettes, improved bookmarking, a high-level configuration menu, magnified presentation mode, a new update manager, stepping over import internals, simplified remote agent installation, and much more.

  • Data School: My top 25 pandas tricks (video)

    In my new pandas video, you're going to learn 25 tricks that will help you to work faster, write better code, and impress your friends. These are the most useful tricks I've learned from 5 years of teaching Python's pandas library.

    Each trick is about a minute long, so you're going to learn a ton of new pandas skills in less than 30 minutes!

  • ODSC webinar: End-to-End Data Science Without Leaving the GPU

    In this webinar sponsored by the Open Data Science Conference (ODSC), I outline a brief history of GPU analytics and the problems that using GPU analytics solves relative to using other parallel computation methods such as Hadoop. I also demonstrate how OmniSci fits into the broader GPU-accelerated data science workflow, with examples provided using Python.

  • Convert hexadecimal number to decimal number with Python program
  • Introduction to unit testing with Python
  • Python 3.7.3 : Three examples with BeautifulSoup.
  • SongSearch autocomplete rate now 2+ per second
  • 2019 PSF Fundraiser - Thank you & debrief
  • PSF GSoC students blogs: Week #6
  • PSF GSoC students blogs: Fourth Blog - GSOC 2019
  • PSF GSoC students blogs: Coding and Communication
»

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