Search Results for "environment-modules"
Sort By:
Showing 85 open source projects for "environment-modules"
View related business solutions-
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.
-
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
1
Hello Python
Comprehensive tutorial repository aimed at teaching the Python program
...The material covers the fundamentals—variables, data types, loops, functions—as well as intermediate topics like date handling, list comprehensions, file IO, regular expressions, modules, and packages. The course is designed to be accessible: no prior programming experience required, and the resources are freely available. In addition, it is accompanied by a practical coding approach (projects) and is maintained as an open-source repository under Apache-2.0 license. It’s ideal for learners who want structured content, hands-on practice, and community guidance to build their Python skills. -
2
Ansible Automation Platform Workshops
Training course for Ansible automation platform
The Red Hat Ansible Automation Workshops project is intended for effectively demonstrating Ansible's capabilities through instructor-led workshops or self-paced exercises. These interactive learning scenarios provide you with a pre-configured Ansible Automation Platform environment to experiment, learn, and see how the platform can help you solve real-world problems. The environment runs entirely in your browser, enabling you to learn more about our technology at your pace and time. The demos are intended for effectively demonstrating Ansible capabilities with prescriptive guides on the Ansible Automation Workshop infrastructure. ... -
3
AutoResearchClaw
Autonomous research from idea to paper. Chat an Idea. Get a Paper 🦞
...The system retrieves real academic references from sources such as arXiv and Semantic Scholar to ensure credible citations. It can automatically generate code for experiments, run them in a sandbox environment, and analyze the results with statistical methods. The platform also uses multi-agent debate and automated peer review processes to refine research findings and improve paper quality. By combining literature discovery, experimentation, and writing automation, AutoResearchClaw aims to turn research ideas into conference-ready papers with minimal human intervention. -
4
AI Researcher
An autonomous AI researcher
...Each agent operates with clear roles — such as researcher, analyst, and summarizer — and they communicate through a task-management interface that ensures progress tracking and iterative refinement. The system emphasizes modularity, so teams can swap in new reasoning modules, data retrieval strategies, or domain knowledge bases depending on the research topic. Through self-supervised feedback loops, agents adjust their strategies based on prior outcomes, improving both the quality and relevance of results over time. -
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
-
5
Ansible-lint
Best practices checker for Ansible
Ansible Lint is a command-line tool for linting playbooks, roles and collections aimed towards any Ansible users. Its main goal is to promote proven practices, patterns and behaviors while avoiding common pitfalls that can easily lead to bugs or make code harder to maintain. Ansible lint is also supposed to help users upgrade their code to work with newer versions of Ansible. Due to this reason we recommend using it with the newest version of Ansible, even if the version used in production... -
6
Stanza
Stanford NLP Python library for many human languages
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. Stanza is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of... -
7
Web Dev for Beginners
About 24 Lessons, 12 Weeks, Get Started as a Web Developer
Web-Dev-For-Beginners is Microsoft’s open source, project-based curriculum for learning web development from scratch. Designed as a 12-week, 24-lesson course, it covers HTML, CSS, and JavaScript fundamentals through hands-on projects like terrariums, browser extensions, and space games. Each lesson includes a mix of pre-lecture quizzes, written content, assignments, challenges, and post-lecture quizzes to reinforce learning. The course also offers global accessibility with translations in... -
8
Recommenders
Best practices on recommendation systems
The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several... -
9
CodeJo
Web-based introductory coding environment
...At this time there are four display canvases available: grid (web canvas) fabric (a library that also uses a web canvas) web (also web canvas) and doc (html) are available. New modules can be added by creating a translation layer. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
-
10
CodeCampus
CodeCampus is a learning-first Linux OS for CSE and IT students
CodeCampus OS is a custom Linux distribution based on Ubuntu 24, designed for beginner developers, computer science students, and self-learners who want to start coding without friction. Unlike traditional setups that require hours of installation and configuration, CodeCampus provides a fully pre-configured, learning-first environment right out of the box. From the moment you boot, everything is ready—so you can focus on learning, experimenting, and building instead of troubleshooting. CodeCampus solves this by removing setup complexity and providing a ready-to-use development environment that lets you start coding immediately. 👉 Getting started guide: https://codecompasss.github.io/code_campus_userguide/getting-started/ -
11
Python Zero to Hero for DevOps Engineers
Learn Python from DevOps Engineer point of you
...The repository is organized into Day-01 through Day-19 folders plus a small sample app, which makes it very easy to follow in sequence like a bootcamp. The curriculum starts with Python installation, environment setup, and writing your first script, then quickly moves into data types, strings, regular expressions, variables, and functions. It places a strong emphasis on DevOps-specific use cases: environment variables, command-line arguments, configuration handling, and automating log analysis or user management tasks are all explicitly woven into the exercises. ... -
12
Django LMS
A learning management system using django web framework
django-lms is an open-source Learning Management System (LMS) built with Django and designed for ease of use and extensibility. It allows administrators to manage courses, lessons, quizzes, and users in an educational environment. The project includes a clean UI and backend tools to help educators create and track learning content. -
13
Digital Forensics Guide
Learn all about Digital Forensics and Computer Forensics
...It organizes foundational topics such as evidence acquisition, disk and memory analysis, file system structures, network forensics, artifact extraction, timeline generation, and reporting into digestible modules that help build core competency. Alongside conceptual explanations, the guide includes practical examples with widely used tools (like Autopsy, Volatility, Sleuth Kit, and network analysis suites), illustrating how investigations proceed from initial data capture to final analysis. The goal is to provide both a learning path and a quick reference for real-world casework, bridging the gap between academic theory and operational practice. -
14
Summarize from Feedback
Code for "Learning to summarize from human feedback"
...The repo also includes utilities for dataset handling, modeling architectures, inference, and evaluation. Because the codebase is experimental, parts of it may not run out-of-box depending on dependencies or environment, but it remains a canonical reference for how to implement summarization via human feedback. -
15
Personal Study Planner
Python program that create a personalized study plan for your exams.
... # Installation To run the program, you'll need to have Python installed on your computer. You can download it from the official website: https://www.python.org/downloads/ You'll also need to have the following modules installed: * tkinter * datetime You can install them using the following commands: `python3 -m pip install datetime tkinter` or `pip install datetime tkinter`. Run the program with `python3 studyplanner.py` or `py studyplanner.py` If you are having trouble with Python or don't feel like installing it, you can also run the executable located inside the 'dist' folder. ... -
16
Reinforcement Learning Methods
Simple Reinforcement learning tutorials
...It provides clear code examples for foundational techniques like Q-learning, policy gradients, deep Q-networks, actor-critic methods, and value function approximation within familiar simulation environments. Each algorithm is structured with readable code, explanatory comments, and corresponding environment interaction loops so learners can easily trace how actions, rewards, and model updates connect. The project also includes demo scripts that visualize learning curves and allow students to observe policy improvement over training iterations. By using TensorFlow as the backbone, it highlights practical considerations such as tensor shapes, loss computation, optimization steps, and batching in an RL context. -
17
Catalyst
Accelerated deep learning R&D
Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make... -
18
Alfi Face
Face Recognition based Attendance System for school, college...
ALFI FACE uses facial recognition technology to record the attendance through a digital camera that detects and recognizes faces and compare the faces with students’ faces images stored in faces database. Once the recognized face matches a stored image, attendance is marked in attendance database for that person. Note: While adding a new student you have to click on" Train the Recognizer" button . In excel sheet dates are "#" so that no one can change the dates. -
19
Arrear_Pension_Calculator
Simple app for calculating arrear pension amount of a given period.
A simple Arrear Pension Calculator app written in python with GUI specifically Govt. employees (Central & State). This application calculates arrear (Due - Drawn) / overdrawn / recovery of pension between any given periods. This app is not associated with the Govt. This app is for informational purpose only. This project is open source under GNU public license v3.0 -
20
Muc_systray x86
A demonstration python animation system tray X86
This project show you the potential of mini meme on your taskbar. That will help to maximize your OC expose promotion and the the way interaction. Full source code accessible. -
21
python-tutorial
Practical Python tutorials, including Python basics
...The project is intended for beginners learning Python and for working developers who want reference implementations for common scripts. Its examples are tested in a Python 3 environment and organized into topic-based directories. The repository also includes notebook-style learning materials for basic data types and core language concepts. It is useful as a structured self-study resource, classroom supplement, or quick reference for practical Python usage. -
22
workshops_project
Workshops is an open source, simple, dead-lightweight LMS
Workshops is an open source, simple, dead-lightweight LMS (Learning Management System) application programmed in Python (version 3.8.x) with Django (version 2.2.x) web framework which main purpose is to make a standarized way to share knowledge via courses in a slide-based view in browser powered by remark javascript library, easy to create, edit, delete and show your courses using simple markdown and html if necessary. Inspired on an old project in my social labours to help share knowledge... -
23
IPython
Command shell for interactive computing in multiple languages
...Extensible tab completion, with support by default for completion of python variables and keywords, filenames and function keywords. Extensible system of ‘magic’ commands for controlling the environment and performing many tasks related to IPython or the operating system. A rich configuration system with easy switching between different setups (simpler than changing $PYTHONSTARTUP environment variables every time). Session logging and reloading. Extensible syntax processing for special purpose situations. Access to the system shell with user-extensible alias system. ... -
24
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
...It is designed primarily for beginners and intermediate practitioners who want to understand PyTorch fundamentals and quickly move toward building real neural network models. The repository walks users through core concepts such as tensors, autograd, neural network modules, convolutional networks, recurrent networks, and transfer learning. Each section includes runnable code examples that progressively increase in complexity, helping learners build intuition while practicing hands-on implementation. Because the tutorials are concise and practical, the project is widely used in classrooms and self-study environments. ... -
25
Think Bayes
Code repository for Think Bayes
ThinkBayes is the code repository accompanying Think Bayes: a book on Bayesian statistics written in a computational style. Instead of heavy focus on continuous mathematics or calculus, the book emphasizes learning Bayesian inference by writing Python programs. The project includes code examples, scripts, and environments that correspond to the chapters of the book. Learners can run the code, experiment with probability distributions, compute posterior probabilities, and understand Bayesian...
