Search Results for "python code" - Page 24
Sort By:
Showing 896 open source projects for "python code"
View related business solutions-
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
1
ipytracer
Algorithm Visualizer for IPython/Jupyter Notebook
Algorithm Visualizer for IPython/Jupyter Notebook. If you use the display(TracerObject) code from where you want to see, you can use it without any special modification. -
2
wxCode project is a collection of reusable components based on the cross-platform wxWidgets GUI toolkit. The project provides various tools and facilities for building, maintaining and releasing wxWidgets-based code. Visit the website for more info. Note: As of January 2018 this project has been retired.
-
3
Ansistrano
Ansible role to deploy scripting applications like PHP, Python, Ruby
Ansistrano is an Ansible Galaxy role to easily deploy and roll back your scripting applications written in PHP, Python, NodeJS, or Ruby. Ansible is a powerful open-source tool for configuring and provisioning servers. Ansistrano leverages all its power to deploy applications. Ansistrano uses a folder structure in your servers that simplify rollbacking: a soft link change, an application reload, and done! We support deploying by pulling your code from CVS (Git, Mercurial, or Subversion), downloading from the repository (S3, or ZIP file), or pushing (Copying or Rsyncing). ... -
4
Projects-Solutions
Links to others' solutions to Projects
...It is effectively a community-driven gallery of implementations of the tasks defined in the “Projects” list, allowing learners to compare their solutions, study others’ code, and improve their approach. The repository aggregates links and resources rather than necessarily hosting all code directly; it serves as an index. The README makes clear that the goal is to build a repository of implementations across languages, showing that the same problem can be solved in Python, Java, Go, JavaScript, C++, etc. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
Illustrated Algorithms
Interactive algorithm visualizations
Inspired by Grokking Algorithms and python-execution-trace, this project aims to reveal the mechanics behind algorithms via interactive visualizations of their execution. Visual representations of variables and operations augment the control flow, alongside actual source code. You can fast forward and rewind the execution to closely observe how an algorithm works. The same code that is displayed next to the illustration is also decorated using babel-plugin-trace-execution and executed to record the context at every step. ... -
6
Algorithms in Python
Data Structures and Algorithms in Python
Algorithms in Python is a collection of algorithm and data structure implementations (primarily in Python) meant to serve as both learning material and reference code for engineers. It includes code for graph algorithms, heap data structures, stacks, queues, and more — each implemented cleanly so learners can trace logic and adapt for their problems. -
7
Neoformat
A (Neo)vim plugin for formatting code
Neoformat uses a variety of formatters for many filetypes. Currently, Neoformat will run a formatter using the current buffer data, and on success, it will update the current buffer with the formatted text. On a formatter failure, Neoformat will try the next formatter defined for the filetype. By using getbufline() to read from the current buffer instead of file, Neoformat is able to format your buffer without you having to :w your file first. Also, by using setline(), marks, jumps, etc. are... -
8
node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
The node2vec project provides an implementation of the node2vec algorithm, a scalable feature learning method for networks. The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction.... -
9
Rodeo
A data science IDE for Python
A data science IDE for Python. RODEO, that is an open-source python IDE and has been brought up by the folks at yhat, is a development environment that is lightweight, intuitive and yet customizable to its very core and also contains all the features mentioned above that were searched for so long. It is just like your very own personal home base for exploration and interpretation of data that aims at Data Scientists and answers the main question, "Is there anything like RStudio for Python?"... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
10
This project consists of a C preprocessor which allows to use a python inspired syntax to write C code, as well as much more powerful preprocessing using python instead of the very limited standard C preprocessor.
-
11
PrettyTensor
Pretty Tensor: Fluent Networks in TensorFlow
Pretty Tensor is a high-level API built on top of TensorFlow that simplifies the process of creating and managing deep learning models. It wraps TensorFlow tensors in a chainable object syntax, allowing developers to build multi-layer neural networks with concise and readable code. Pretty Tensor preserves full compatibility with TensorFlow’s core functionality while providing syntactic sugar for defining complex architectures such as convolutional and recurrent networks. The library’s design... -
12
Parse C++ header files using ply.lex to generate navigable class tree representing the class structure. CppHeaderParser.py has the advantage of being a pure python C++ header parser. Grap a copy of ply at http://www.dabeaz.com/ply/
-
13
PyPattyrn
A simple library for implementing common design patterns
PyPattyrn is a Python package aiming to make it easier and faster to implement design patterns into your own projects. Design patterns by nature cannot be directly translated into code as they are just a description of how to solve a particular problem. However, many of the common design patterns have boilerplate code that is common throughout all implementations of the pattern. -
14
Use Vim as IDE
use vim as IDE
Use Vim As IDE is a comprehensive configuration repository (by YangYangWithGnu) that guides you how to turn Vim into a full-fledged Integrated Development Environment (IDE). The project isn’t just a single plugin; it’s more like a curated set of plugins, configuration tips, and workflow suggestions to enable syntax highlighting, smart code completion, project navigation, semantic search, file-switching, build-integration, undo-history, templating and more—particularly geared toward C/C++... -
15
HyperSQL is like a doxygen plus javadoc for SQL, hypermapping SQL views, packages, procedures, and functions to HTML source code listings and showing all code locations where these are used.
-
16
Notepad3
Light-weight Scintilla-based text editor with syntax highlighting
Notepad3 is a fast and light-weight Scintilla-based text editor with syntax highlighting. Notepad3 is an excellent replacement for the default Windows text editor. Notepad3 offers many extra features over Notepad. It has a small memory footprint, but is powerful enough to handle most programming jobs. -
17
Pikzie is an Unit Testing Framework for Python. Pikzie provides more Pythonish API(*) and more usefull test result output rather than PyUnit (unittest.py). (*) PEP 8 -- Style Guide for Python Code: http://www.python.org/dev/peps/pep-0008/
-
18
Document
Allows you to easily create documentation for your project.
This project aims to assist developers by allowing them to create documentation on their projects. Document can work with a number of languages, and allows you to document any portion of your source code. -
19
Perfect: Server-Side Swift
The Perfect core toolset and framework for Swift Developers
...It lets developers build using only Swift to program both the client-facing and server-side of their projects. It’s the ideal backbone for cloud and mobile technologies. Developers can be more productive and efficient using Perfect to write less code and work in one fundamental language for all their needs. With Perfect, you can write an entire project in one language: Swift - instead of having multiple languages to contend with, like JavaScript (Node.js), Java, Ruby or Python. Use Apple’s open source Swift programming language throughout your entire development process. Whether you’re building iOS and OS X apps, or backend support for web apps, wearable technologies, and games, you don’t need to learn another programming language when you use Perfect on the server-side. -
20
GoAgent
GoAgent will regularly scan the available google gae ip
GoAgent, which is always available, will regularly scan the available google gae ip, and provide a version that can automatically obtain the ip to run. GoAgent, which has always been available, will regularly scan the available google gae ip, goagent is the source code around May 2015. You can download the googleip.txt file. It is a list of available Google ip addresses. There are about 2w ips. The source is obtained by scanning all Google address domains with my vpn. The reliability is... -
21
Reactive Extensions for JavaScript
An API for asynchronous programming with observable streams
...The Observer pattern, the Iterator pattern, and functional programming. ReactiveX is everywhere, and it's meant for everything. Available for idiomatic Java, Scala, C#, C++, Clojure, JavaScript, Python, Groovy, JRuby, and others. Embrace ReactiveX's asynchronicity, enabling concurrency and implementation independence. Manipulate UI events and API responses, on the Web with RxJS, or on mobile with Rx.NET and RxJava. Avoid intricate stateful programs, using clean input/output functions over observable streams. ReactiveX's operators often reduce what was once an elaborate challenge into a few lines of code. -
22
Import from github_com
Python module finder/loader from github, like in golang
import_from_github_com is a playful yet practical experiment that lets you import Python modules directly from GitHub using an import-like mechanism. The idea is to remove the friction of “clone → install → import” when you just want to try out a single file or small repo. It hooks into Python’s import machinery so that when you reference a GitHub path, it fetches the code, stores it locally (often with caching), and makes it importable in the current environment. -
23
Python Embed C++
Embed C++ in Python source code, dynamically compile and access data
Moved to http://github.com/ftrias/pyembedc Python module to embed C/C++ code within Python source code and scripts. Automatically compile and dynamically link the code. Transparently allow native access to python data from C code and vice versa. Module provides all the "glue" to dynamically convert data types, arrays and structures. -
24
ffnet is a fast and easy-to-use feed-forward neural network training solution for python. Many nice features are implemented: arbitrary network connectivity, automatic data normalization, very efficient training tools, network export to fortran code. Now ffnet has also a GUI called ffnetui.
-
25
Klonwerk
advanced variability management tool
Klonwerk is an advanced and easy-to-use tool for reactive variability management and large-scale software reuse. It allows you to automatically clone and modify directories of textural or binary files (e.g. code, architecture, documentation), based on conceptual feature/decision models.
