Search Results for "python code" - Page 25
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1001 projects for "python code" with 1 filter applied:
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Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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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.
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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. -
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libinclude
It is a shell library to import other shell scripts as libraries.
...Functions (FUNC) and variables (VAR) in a library (MYLIB) can be simply included, but also imported in their own namespace (MYLIB_VAR, MYLIB_FUNC). It also provides the import MYLIB as ALIAS and the from MYLIB import FUNC statement, like in python. To ensure the usability of the libraries across different OS and/or software configurations, libinclude provides some features to be utilized in the libraries. One can define dependencies with 3ed party programs, which will be checked while importing and returns a meaningful error message if not met. To adopt the library to different environments, conditional comments provide the possibility to include code blocks depending on defined conditions, or run code on file inclusion. -
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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.
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pyadselfservice is a software created using Python 3.5 and Django 1.10. This project aims to provide web based password change interface to the end users, for their Active Directory account. While changing the password, users won't not need to enter their current password. Which means users can change their password even if they have forgotten their current password. Moreover, while changing the password, this software will automatically unlock the user account if it is locked. ...
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Earn up to 16% annual interest with Nexo.Generate interest, access liquidity without selling, and execute trades seamlessly. All in one platform. Geographic restrictions, eligibility, and terms apply.
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CellPD
Cell Phenotype Digitizer
This is an open source project to estimate cell cycle and other parameters based upon experimental time course data. Navigate to Files-->CellPD-->[version]-->[Operating System] Each download contains CellPD's source code, a Python virtual environment, and a tutorial on how to use CellPD. Tutorial TL;DR: Save your data (using the provided template) in the same folder as CellPD, then double click on runCellPD. -
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GT NLP Class
Course materials for Georgia Tech CS 4650 and 7650
...The materials emphasize theory grounded in practical experimentation, often via Python notebooks or scripts that visualize results and encourage ablation studies. Clear organization and self-contained examples make it possible to follow along outside the classroom, using the repo as a self-study resource. For learners and instructors alike, the course provides a coherent path from foundational linguistics to current techniques, with reproducible code that makes concepts concrete. -
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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. -
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Spark Python Notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis
Spark Python Notebooks is a curated collection of example Jupyter notebooks designed to help developers and data engineers learn Apache Spark using Python in an interactive environment. Rather than only providing static code files, this project uses notebooks to teach practical data processing workflows, exposing users to real Spark programming patterns like working with RDDs, DataFrames, and distributed computations. -
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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.
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Gribble is the code base for the Supybot SourceForge.net uses for support assistance in the Freenode.net support channel, #sourceforge.
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...The API has been developed by reverse engineering network traffic between FX TradingStation (FXCM's trading platform) and FXCM's servers. The API substitutes client side of FX TradingStation (FXTS) system so FXCM servers treat Python code using this API as regular FXTS session. The API has been developed in time when automated trading was not available to retail traders or access to API was too "expensive" (deposit on account bigger than $100k). Today FXCM API is open to all FXCM traders and more can be found at: https://github.com/FXCMAPI https://www.fxcm.com/trading-services/api-trading
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PyMapper is a map making utility for fantasy role playing games (RPG). Includes the dungeons and dragons RPG. PyMapper is compatible with any system, with now updated support for the D&D 5th edition ruleset. Pathfinder and 3.5 edition support also included. Written entirely in python and wxpython. WinXP/7/8 executable also available.
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SNMP v1/v2c/v3 engine and apps written in pure-Python. Project moved to GitHub: https://github.com/etingof/pysnmp
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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. -
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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. -
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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.
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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. -
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Moose
Multiscale Neuroscience and Systems Biology Simulator
Moose is the core of a modern software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes. We have moved Github.com. This should be your source for the latest version of the code. -
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Generic directory service (for the EPICS tool set). Directory entries are channels with properties and tags. Applications can query a web service to retrieve channels based on wildcard matching on properties and tags, and manipulate the directory data. Code has been moved to GitHub at https://github.com/ChannelFinder
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PortOpt
A portfolio-optimizer using Markowitz(1952) mean-variance model
PortOpt [Portfolio Optimizer] is a C++ program (with Python binding) implementing the Markowitz(1952) mean-variance model with agent's linear indifference curves toward risk in order to find the optimal assets portfolio under risk. You have to provide PortOpt (in text files or - if you use the api - using your own code) the variance/covariance matrix of the assets, their average returns and the agent risk preference. -
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PyRadmon Reborn
PyRadmon, a Python script to use on both Linux and Windows.
PyRadmon Reborn. This project started after the original programmers quit supporting it. The project now contains support for audio*, has a version that supports two Geiger counters** and a cleaner, more stable code. * = PyAudio is used as library for the audio support. ** = The two counters both run in their own thread. UPDATE-2015-2: * Added timeouts to sockets to prevent crashing of the script. * Updated some comments. UPDATE-2015-1: Since there have been some passed time... -
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ASN.1 types and codecs (BER, CER, DER) implementation in Python programming language. A collection of various ASN.1-based protocols data structures is supplied in a dedicated Python package. Project moved to GitHub: https://github.com/etingof/pyasn1
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ArmaNpy is a set of SWIG interface files which allows for generating Python bindings to C++ code which uses the Armadillo matrix library.
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Matplotlib tutorial
Matplotlib tutorial for beginner
...As the tutorial builds progressively, learners can gradually advance from simple static plots to more complex visualizations, learning how to control figure size, add multiple subplots, adjust plot aesthetics, and handle different data types. Because it is code-first, users can copy, modify, and run the examples on their own datasets, encouraging experimentation and deepening understanding.
