Code Server Docker image for PyTorch with python development on the browser. Includes CUDA!

Docker images for machine learning development environments using CUDA and PyTorch and for remote development via VSCode and SSH server

# Python Developer Roadmap Folks, Here are 10 important things to deep-dive into Python Developer Role! Also, the items are listed in no particular order. You don't need to learn everything listed here, however knowing what you don't know is as important as knowing things. ## **1. Learn the basics** * Basic syntax * Variable and data types * Conditionals * List, Tuples, Sets, Dictionaries * Type Casting, Exception Handling * Functions, Buitlin functions ## **2. Advanced Core Python** * Object Oriented Programming(OOP) * Data Structures and Algorithms * Regular Expressions * Decorators * Lambdas * Modules * Iterators ## **3. Version Control Systems** * Basic Git Usage * Repo Hosting Services(GitHub, GitLab, BitBucket) ## **4. Package Managers** * PyPI * PIP ## **5. Learn Framework(Web Development)** - Synchronous Framework - Django, Flask, Pyramid - Asynchrnous Framework - Tornado, Sanic, aiohttp, gevent ## **6. Desktop Applications** * Tkinter * PyQT * Kivy ## **7. Scraping** - Web scraping is an idea that alludes to the way toward gathering and handling huge information from the web utilizing programming or calculation. Absolutely, scratching information from the web is a significant ability to have in case you’re an information researcher, developer, or somebody who examinations tremendous amounts of information. - Python is a successful web scrapping programming language. Essentially, you don’t have to learn muddled codes in case you’re a Python master who can do numerous information creeping or web-scratching undertakings. Notwithstanding, the three most notable and usually utilized Python systems are Requests, Scrappy, and BeautifulSoup. ## **8. Scripting** - Python is a prearranged language since it utilizes a mediator to interpret and run its code. Also, a Python content can be an order that runs in Rhino, or it very well may be an assortment of capacities that you can import as a library of capacities in different contents. - In web applications, specialists use Python as a “prearranging language.” Because it can computerize a particular arrangement of assignments and further develop execution. Accordingly, designers lean toward Python for building programming applications, internet browser destinations, working framework shells, and a few games. **Python Scripting Tools You Can Implement Easily:** - DevOps: Docker, Kubernetes, Gradle, and so on - Framework Admin ## 9. Artificial Intelligence / Data Science - Shrewd engineers consistently lean toward Python for AI because of its countless advantages. Python’s creative libraries are one of the primary motivations to pick Python for ML or profound learning. Additionally, Python’s information taking care of limits is extraordinary not with standing its speed. - Being exceptionally strong in ML and AI, Python is presently getting more foothold from different enterprises like travel, Fintech, transportation, and medical services. Tools You Can Use For Python Machine Learning: Tensorflow PyTorch Keras Scikit-learn Numpy Pandas ## 10. Ethical Hacking With Python - Ethical hacking is the way toward utilizing complex instruments and strategies to recognize potential dangers and weaknesses in a PC organization. Python, quite possibly the most well-known programming dialect because of its huge number of instruments and libraries, is additionally utilized for moral hacking. - It is so generally utilized by programmers that there are plenty of various assault vectors to consider. Additionally, it just takes little coding information, simplifying it to compose content. - Tools For Python Hacking SQL infusion Meeting seizing Man in the Middle Systems administration IP Adress Double-dealing ###### Python is a programming language that has acquired prominence and is sought after. Additionally, Python developer’s interest has soar today, requiring information science with Python preparation. Thus, on the off chance that you have the chance to participate in element-related graphs and appreciate experience altogether, this work makes you fortunate in this field of programming. ###### To close this Python developer roadmap empowers an develoepr to prevail in Python programming on the off chance that you achieve the information and an essential comprehension of the field.

Step-by-step guidelines to develop and run PyTorch models in a dockerized container on NVIDIA GPUs

A collection of commonly used Docker images for AI/ML development and deployment, including preconfigured environments for popular frameworks like TensorFlow, PyTorch, scikit-learn, and more. This repository provides optimized and reproducible AI/ML containers to streamline machine learning workflows.

Comprehensive 2024-2025 development resources: AI/ML (PyTorch, Transformers), Web (Next.js, React), DevOps (K8s, Docker), Web3, and modern software patterns

ML-Containerd is a Dockerized environment for Machine Learning development, featuring PyTorch with CUDA, Jupyter, Code-Server, and TensorBoard. Use this repository to quickly and easily set up a local development environment for ML projects.

A barebones template for ML projects using PyTorch, Transformers, and Hydra. It includes definitions for a Docker development container to streamline the environment setup in VS Code.

Pytorch docker image optimized for development

A PyTorch-based Docker container for machine learning development

Docker image of PyTorch with addition tools for LLMs development

a repository for storing and automated building of docker pytorch development image.

Docker image Containing all necessary components for DL development with Tensorflow+Keras or Pytorch

A Docker image for PyTorch development on an Apple silicon Mac with Jupyter notebooks

Docker file for building a development container with OpenAI's Gym, Pytorch and Tensorboard

Full Stack Deep Learning including model development and deployment by using PyTorch, Docker, and AWS Lambda.

Docker ROS 1 Noetic graphical development environment with Gazebo, Gymnasium, PyTorch, & RViz, packaged ros-gazebo-gym

Production-grade Docker environment for robotics development with ROS2 Humble, CUDA 12.6, PyTorch, and AI/ML stack

This repository provides a complete PyTorch development environment using Docker Compose, perfect for learning and experimenting with PyTorch without installing it directly on your host system.

This project provides a development environment for PyTorch with CUDA support, using a Docker-based devcontainer setup. It includes code and tests for verifying CUDA availability and basic PyTorch functionality.

Docker-based Python development template using Poetry and GPU support for PyTorch, compatible with Windows WSL2 and Ubuntu. Includes Jekyll for GitHub Pages documentation.

An out-of-the-box edge AI development environment for NVIDIA Jetson devices, featuring ROS 2 Humble, PyTorch, Whisper, Vosk, and YOLO in a Docker container.

A docker development stage extends from **PyTorch** with `matplotlib.pyplot' with `libx11-6` that can be share the tty of GUI Desktop to **show** what `plt.show()`

AI-powered image classification API built with Flask, integrating TensorFlow and PyTorch models. The project demonstrates backend development, machine learning model integration, Docker containerization, and version control. Designed for scalable deployment and practical AI application development.

AI-powered image classification API built with Flask, integrating TensorFlow and PyTorch models. The project demonstrates backend development, machine learning model integration, Docker containerization, and version control. Designed for scalable deployment and practical AI application development.

Full AI development environment built on NVIDIA PyTorch 25.10 with CUDA, R, MySQL, JupyterLab, Hugging Face integration, and Ollama support. Designed for GPU-accelerated machine learning, data science, and LLM experimentation in a single Docker image.

Full AI development environment built on NVIDIA PyTorch 25.10 with CUDA, R, MySQL, JupyterLab, Hugging Face integration, and Ollama support. Designed for GPU-accelerated machine learning, data science, and LLM experimentation in a single Docker image.

A streamlined solution for creating a ready-to-use development environment for machine learning projects using PyTorch, GPU, and Visual Studio Code (VSCode). This setup leverages Docker for consistent, isolated environments and includes automated folder creation and container configuration.

AI Engineer Portfolio | Machine Learning • Deep Learning • MLOps Professional portfolio showcasing end-to-end AI solutions including NLP models, computer vision applications, and scalable ML pipelines. Features model deployment, API development, and production-ready code. 🔧 Tech Stack: Python, TensorFlow, PyTorch, FastAPI, Docker, AWS

5 years AI/ML development, with hands-on in document processing, diagram detection, or similar technical domains.  C++ and Python. Rust is a plus. Understanding of geometric transformations, linear algebra, and statistical modelling. Exp with TensorFlow, PyTorch, or similar frameworks. LLMs, Computer Vision, Docker. Exp deploying ML models