OnWorks favicon

Pythonic Data Structures and Algorithms download for Windo

Free download Pythonic Data Structures and Algorithms Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Pythonic Data Structures and Algorithms whose latest release can be downloaded as v1.0.1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Pythonic Data Structures and Algorithms with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS

Ad


Pythonic Data Structures and Algorithms


DESCRIPTION

The Pythonic Data Structures and Algorithms repository by keon is a hands-on collection of implementations of classical data structures and algorithms written in Python. It offers working, often well-commented code for many standard algorithmic problems — from sorting/searching to graph algorithms, dynamic programming, data structures, and more — making it a valuable resource for learning and reference. For students preparing for technical interviews, self-learners brushing up on fundamentals, or developers wanting to understand algorithm internals, this repository provides ready-to-run examples, and can serve as a sandbox to experiment, benchmark, or adapt code. Because it’s in pure Python, it’s easy to read and modify, making it accessible even to those with modest programming experience. The repo helps bridge the gap between theoretical algorithm descriptions and real-world code, giving concrete, working implementations that one can study, debug, or extend.



Features

  • Wide collection of classical data structures and algorithms implemented in Python
  • Readable, often commented code — good for learners, interview prep, or reference usages
  • Covers many algorithmic categories: sorting, search, graphs, dynamic programming, data structures, etc.
  • Easy to run and test — no complex dependencies, pure Python environment
  • Serves as a learning sandbox: users can copy, adapt, or benchmark code for custom purposes
  • Useful as a teaching/learning aid, interview-prep tool, or quick reference when solving algorithmic problems


Programming Language

Python


Categories

Algorithms

This is an application that can also be fetched from https://sourceforge.net/projects/pythonic-data-struct.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


Free Servers & Workstations

Download Windows & Linux apps

Linux commands

Ad




×
Advertisement
❤️Shop, book, or buy here — no cost, helps keep services free.