Search Results for "best python programming projects" - Page 5
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Showing 173 open source projects for "best python programming projects"
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1
Kanbanara
Web-based Project Management System using the Kanban methodology
Kanbanara, a web-based Project Management System, uses the Kanban methodology. Started in 2013, the product is already quite well advanced. It is written in Python 3.7+ and utilizes MongoDB and CherryPy. Its Kanban board features projects, user-definable workflow with custom states, support for epic, feature, story, enhancement, defect, task, test, bug and transient cards, global and personal WIP limits, role-based columns (Owner, Reviewer or Quality Assurance), support for ghost cards (cards on their way to you or your own cards currently being reviewed or in QA), blockable cards, hidable cards, deferable cards, 46 card styles including a customisable one, 14-day future projection, Gantt Chart andcard backdrops. ... -
2
webotron
Using industrial automation techniques for creating web scraping tools
Industry uses machines that can easily maim or kill their operators and is also used in very adverse environments. In spite of this, production quality must be close to perfect without reliance on operator skill or attentiveness. Control programs must be robust, yet simple enough to be understood and maintained by non programmer skilled trades like electricians . The main programming model is the PLC which implements double buffering and an event loop. The most advanced production model... -
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Apache MXNet (incubating)
A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable. -
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scikit-learn tips
50 scikit-learn tips
scikit-learn-tips is an educational repository that collects practical advice and best practices for using the scikit-learn machine learning library effectively. The project consists of short explanations and examples that highlight common patterns, pitfalls, and techniques used when building machine learning workflows in Python. Each tip typically demonstrates how specific components of scikit-learn, such as pipelines, preprocessing utilities, or model evaluation tools, should be applied in real projects. -
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TensorFlow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Examples is a comprehensive repository of example implementations, tutorials, and reference code intended to help newcomers and intermediate learners dive into TensorFlow quickly. It contains both Jupyter notebooks and raw source code, covering a broad range of tasks: from basic machine-learning and neural-network models to more advanced use cases, using both TensorFlow v1 and v2 APIs. For clarity and educational value, each example is accompanied by explanatory comments or... -
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PyBitBanger
Python controlled hardware.
With the demise of the parallel port, a simple way for a Python script to control external hardware has disappeared. The goal of this project is to use relatively simple hardware like an Arduino Nano and the Microchip MCP23S17 port expander as an extensible bit banger. Ideally, all hardware should be leaded and breadboard friendly for easy project prototyping. The ELEGOO Nano is used as an USB RS232 to SPI controller to control the port expander. This fits nicely on a breadboard and has... -
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EEPROM_editor
EEPROM programmer for the SST39SF040 chip.
...This fills the gap between circuits that are too complex for discrete logic gates while also not being suitable for Arduino type control. FPGAs are suitable for these applications, but the learning curve is steep, the tools are complex and for small one off projects, not worth the effort. An Arduino Nano will be used as an interposer between a Python script doing the programming and SPI connected port expander chips used for generating the required signals. This makes project development simple with relatively simple tools, simple hardware and a shallow learning curve. The chip is available as a leaded part so wire wrap can be used to quickly build the programmer. ... -
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nbdev template
Template for nbdev projects
Write, test, document, and distribute software packages and technical articles, all in one place, your notebook. Traditional programming environments throw away the result of your exploration in REPLs or notebooks. nbdev makes exploration an integral part of your workflow, all while promoting software engineering best practices. -
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Hi There, this repository is a collection of early graphics programming projects created in my teen age. They all run on Ms DOS operating system. For Mac users I recomment the Boxer Dos Game Emulator to run them: http://boxerapp.com/ There are detailed descriptions to each Projects. Best would be, that you just watch the correesponding YouTube Videos, which explain each program in detail.
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Data Science Notes
Curated collection of data science learning materials
Data Science Notes is a large, curated collection of data science learning materials, with explanations, code snippets, and structured notes across the typical end-to-end workflow. It spans foundational math and statistics through data wrangling, visualization, machine learning, and practical project organization. The content emphasizes hands-on understanding by pairing narrative notes with runnable examples, making it useful for both self-study and classroom settings. Because it aggregates... -
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Ansible Examples
A few starter examples of ansible playbooks, to show features
This repository collects practical, real-world examples of using Ansible to automate infrastructure, deployments, and configurations. Each directory demonstrates a specific use case—ranging from setting up web servers, load balancers, and databases to orchestrating multi-tier applications in cloud environments. The examples highlight common Ansible practices such as organizing inventories, writing reusable playbooks, using roles, and handling variables and templates. They’re designed to be... -
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JCppEdit v4.0
Best IDE for Beginners
...You will not waste time detecting errors before compiling codes because you will get a real-time notification whenever you are making any mistake in your C, C++, and Java codes. You can also create multiple projects, delete, rename, cut and copy multiple files and folders in your project folder using project explorer. The programming languages that can be compiled and executed include; C, C++, Java, Java applet, C graphics, HTML, CSS, JavaScript and XML. If you are looking for a hassle-free, coding experience, then JCppEdit is the best option for you. ... -
13
jieba
Stuttering Chinese word segmentation
"Jaba" Chinese word segmentation, do the best Python Chinese word segmentation component. Four word segmentation modes are supported. Precise mode, which tries to cut the sentence most precisely, suitable for text analysis. Full mode, scans all the words that can be formed into words in the sentence, the speed is very fast, but the ambiguity cannot be resolved. The search engine mode, on the basis of the precise mode, divides the long words again to improve the recall rate, which is suitable... -
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AI Cheatsheets
Essential Cheat Sheets for deep learning and machine learning research
...It compiles cheat sheets for widely used libraries and technologies such as TensorFlow, Keras, NumPy, Pandas, Scikit-learn, Matplotlib, and PySpark. These materials summarize common functions, workflows, and best practices in a concise visual format that makes them easy to consult during development or study sessions. The repository functions as a centralized library where users can quickly access reference materials for both machine learning theory and practical programming tools. Many of the cheat sheets are available as downloadable PDFs and images, allowing learners to keep them as quick references while working on projects. -
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DevOps Bash Tools
800+ DevOps Bash Scripts - AWS, GCP, Kubernetes, Docker, CI/CD, APIs
Scripts for many popular DevOps technologies, see Inventory below for more details. Advanced configs for common tools like Git, vim, screen, tmux, PostgreSQL psql etc. CI configs for most major Continuous Integration products (see CI builds page) CI scripts for a drop-in framework of standard checks to run in all CI builds, CI detection, accounting for installation differences across CI environments, root vs user, virtualenvs etc. API scripts auto-handling authentication, tokens and other... -
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TBStudio
A quantum technical software to find Tight-Binding model of structures
...C++, C, Fortran, Mathematica, Matlab, and Python. TBStudio and its examples together with the tutorials are available for download from tight-binding.com. -
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CWED
Web-based C/C++ IDE for students
CWED is an online C/C++ IDE for programming students. It provides a simple and minimalist environment with only the most essential features implemented. The IDE is designed as a more convenient Web-based alternative to heavyweight desktop-based professional development systems. CWED is best suited for programming tasks in a classroom and programming contests and you can also use it for small personal projects and testing code from programming handbooks and manuals. -
18
Tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed
...Your training can probably gets faster if written with Tensorpack. Scalable data-parallel multi-GPU / distributed training strategy is off-the-shelf to use. Squeeze the best data loading performance of Python with tensorpack.dataflow. Symbolic programming (e.g. tf.data) does not offer the data processing flexibility needed in research. Tensorpack squeezes the most performance out of pure Python with various auto parallelization strategies. There are too many symbolic function wrappers already. Tensorpack includes only a few common layers. ... -
19
Volunteer workshift scheduler
Volunteer workshift scheduler for a helpline service
Code written in Python finds the best possible schedule for volunteers while incorporating constrains and special requirements using CP-SAT Solver (Constraint Programming - boolean SATisfiability problem Solver). Java version is in development. The problem Arranging volunteers for a helpline service for the period of one month. There are three types of work that could be done on the same day: Phone shift: Every day. -
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BeakerX
Beaker Extensions for Jupyter Notebook
BeakerX is a collection of kernels and extensions to the Jupyter interactive computing environment. It provides JVM support, Spark cluster support, polyglot programming, interactive plots, tables, forms, publishing, and more. BeakerX supports Groovy, Scala, Clojure, Kotlin, Java, and SQL, including many magics. Widgets for time-series plotting, tables, forms, and more (there are Python and JavaScript APIs in addition to the JVM languages). Polyglot magics and autotranslation, allowing you to... -
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Skylark
Skylark in Go: the Skylark configuration language
Skylark, now known as Starlark, is an interpreter for a Python-like language implemented in Go. It is designed as a lightweight, deterministic, and embeddable configuration and scripting language ideal for use within larger applications. Skylark maintains Python’s familiar syntax and high-level data types while omitting features that could cause nondeterminism, such as concurrency and dynamic module imports. The interpreter supports first-class functions, dictionaries, lists, and... -
22
Functional, Data Science Intro To Python
[tutorial]A functional, Data Science focused introduction to Python
The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing. -
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Assorted projects. General-purpose libraries for Python, C++, Scala, bash, and others. Meta-programming tools. System utilities. UI components. Web APIs. Configuration files. Benchmarks. Programming competition entries. And much more.
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DIGITS
Deep Learning GPU training system
The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting... -
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River Simulations and Python
Management of river simulations with Python
...Piatkowska 94A, 60-649 Poznan, POLAND E-mail address: tdysarz@gmail.com Hardware required: PC that supports Python Software required: Python 2.7.x, HEC-RAS 5.0.3 Programming language: Python 2.7.x
