Open Source Python Software Development Software - Page 92

This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.

POSH (Python Object Sharing) is an extension module to Python that enables processes to share Python objects by placing them in shared memory.

PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. This exciting yet challenging field is commonly referred as outlier detection or anomaly detection. PyOD includes more than 30 detection algorithms, from classical LOF (SIGMOD 2000) to the latest COPOD (ICDM 2020) and SUOD (MLSys 2021). Since 2017, PyOD [AZNL19] has been successfully used in numerous academic researches and commercial products [AZHC+21, AZNHL19]. PyOD has multiple neural network-based models, e.g., AutoEncoders, which are implemented in both PyTorch and Tensorflow. PyOD contains multiple models that also exist in scikit-learn. It is possible to train and predict with a large number of detection models in PyOD by leveraging SUOD framework. A benchmark is supplied for select algorithms to provide an overview of the implemented models. In total, 17 benchmark datasets are used for comparison, which can be downloaded at ODDS.

This was previously documented as the location for receiving support for PyPI. Support requests are now handled at https://github.com/pypa/pypi-support

Pure Python library to read/write/modify Palm PDB and PRC format databases.

Python-Patterns is a repository collecting implementations of many classical design patterns and idioms, written in Python. It serves as an educational resource: showing how to implement creational, structural, behavioral, testability, and other patterns in a Pythonic style (or sometimes less so), illustrating trade-offs, different styles, and use cases. It’s intended for learners or developers interested in software architecture or design, rather than as a production library. Includes pattern examples for testability, delegation, flyweight, proxy, etc., plus patterns outside the classical set (registry, specification, etc.) Each pattern has readable example code, often in its own module/file, sometimes showing more than one implementation style.

PyEclipse is a Python plugin for the Eclipse platform.

Poloniex API wrapper for Python 2.7 & 3.

About this video Learn Python Programming and Scripting using your iPhone Introduction Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. Like Perl, Python source code is also available under the GNU General Public License (GPL). This tutorial gives enough understanding on Python programming language. Audience This tutorial is designed for software programmers who need to learn Python programming language from scratch. Prerequisites You should have a basic understanding of Computer Programming terminologies. A basic understanding of any of the programming languages is a plus.

This is a collection of the source and binaries that have been made using python. These include an image viewer and a weather forecaster.

This project is host for several subprojects written in Python. Subprojects will be small standalone applications (file kataloging tool for now), and code snippets. These projects aim is share Python knowledge and experience. Anybody is welcome to join :

Python programming language QNX4 Port

This plugin can be added to any Python QT4 Project to auto resize and relative to position move the widgets to the place they should be.

A Python module designed to facilitate rapid application development, primarily of application interfaces, without the loss of underlying toolkit/language functionality.

RotNN is a Python module that implements rotation encryption/obfuscation. The default action is similar to rot-13, but it can also rotate over the entire UNIX printable character set.

Pysaprfc is a Python wrapper around SAP librfc and provides easy access to SAP data-structures, tables and RFC enabled function modules.

Python SOAP is a free library implementing W3C's SOAP Protocol in the Python programming language. SOAP is an XML-based messaging protocol which is machine- and platform-independent.

PySQLdb provides a simple and consistent programming interface to SQL databases, in Python. The PySQLdb classes are abstracted sufficiently for programmers consider writing tiny compilers (in python!) that take a SQL file and auto-generate code to acc

Python ServerPages aims to provide easy and intuitive dynamic scripting ability like that of Embeded Perl, but using Python as the scripting language.

Python Slack SDK is the official Python developer kit for building applications that interact with the Slack platform. It provides modular packages for Slack APIs, allowing developers to use only the capabilities they need while still keeping the pieces compatible with each other. The SDK covers the Web API, incoming webhooks, Socket Mode, OAuth, Audit Logs, SCIM, RTM, Block Kit models, and request signature verification. It is useful for bots, workflow tools, internal automations, admin dashboards, notifications, onboarding assistants, and Slack-native business applications. Developers can use it to send messages, respond to events, verify requests, manage app authorization, and integrate Slack into Python services. The project is especially helpful for teams that want a maintained, first-party Python interface instead of manually building every Slack API request.

Library for parsing and editing python source code in form of tree. (this tree is very similar to syntax tree, but nodes are commands. Above this library will be build simple editor in wxPython.

Python Standalone Builds is an open-source project that provides precompiled, portable Python distributions designed for embedding, redistribution, and reproducible environments across different platforms. It allows developers to use Python without relying on system-level installations, making it ideal for packaging applications or running Python in controlled environments. The distributions are built with a focus on portability, enabling them to run consistently across operating systems without requiring additional dependencies. The project supports multiple architectures and includes a wide range of Python versions, giving developers flexibility in choosing the appropriate runtime for their needs. It is particularly useful for tools, applications, and environments that need to bundle Python as part of their distribution, such as standalone executables or embedded systems.

Collection of Python for Windows that can be installed anywhere (hard drive, usb key, network..). No external dependencies and no side effect. 2 configurations: minimal and complete, with additional packages. For python 16, 20 to 27 and 32

Static analysis of Python web applications based on theoretical foundations (Control flow graphs, fixed point, dataflow analysis) Detect command injection, SSRF, SQL injection, XSS, directory traveral etc. A lot of customization is possible. For functions from builtins or libraries, e.g. url_for or os.path.join, use the -m option to specify whether or not they return tainted values given tainted inputs, by default this file is used.

Open-Source software solutions for the automation of user-level testing (system, UAT etc.) tasks and processes.