Soumen Pramanik's starred repositories
modulus-makani
Massively parallel training of machine-learning based weather and climate models
databricks-nutter-repos-demo
Demo of using the Nutter for testing of Databricks notebooks in the CI/CD pipeline
ML-Papers-Explained
Explanation to key concepts in ML
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
learning_ray
Notebooks for the O'Reilly book "Learning Ray"
modern-cpp-features
A cheatsheet of modern C++ language and library features.
python_devops_book
[Book-2020] Python For DevOps: Learn Ruthlessly Effective Automation
azure-devops-python-api
Azure DevOps Python API
devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
software-testing
Implementation of Test Driven Development in python using pytest and unittest.
python-devops
A Devops pipeline is set of automated processes and tools that the development (Dev) and operations (Ops) teams implement to build, test, and deploy software faster and easier. In this course you will complete DevOps pipeline generally consists of a set of tools which are normally broken down into the following categories: Plan Code Integrate Test Release Deploy Operate This learning path will cover: Git is an open-source and distributed version control system. Github is git repository hosting service used for code sharing, bug tracking, feature request and much more. PyCharm is an integrated development environment (IDE) for python programing language. Flask is a python web framework. HTML is the standard markup language for Web pages. CSS is a style sheet language use to style a HTML document. SQLAlchemy is an open-source SQL toolkit and object-relational mapper which gives full power and flexibility of SQL. Selenium is used to automate web browser interaction. Pytest is unit testing framework that allows users to write test codes. Ngrok allows to expose a web server running on your local machine to the internet. Github Action enables you to include Continues Integration (CI) and continuous deployment (CD) capabilities and many other features directly in your repository. Docker is an open source containerization platform enables developers to package applications into containers. Docker Hub is a cloud-based repository for finding and sharing container images with your team. Kubernetes is an open-source container orchestration for automating deployment, scaling, and management of containerized applications. This course is one stop shop where you will learn web development, continuous integration, continuous deployment, containerization, writing neat and quality code, devops concepts and much more with python programing language. What you’ll learn Learn to build Continuous Integration Continuous Deployment pipeline Build CI CD tool to update docker image after any update Learn to create dockerfile Learn the fundamental concepts of Docker Learn the fundamental concepts of Kubernetes Learn to create Kubernetes YAML files Learn to deploy high availability, fault tolerance, scalable application Learn all the basic and advanced git commands Learn different types of branches like master, developer, feature, release and hotfix branch Learn fundamental concepts of Version Control System Learn to use Github actions for CI CD pipeline Learn to build python flask web application Learn to use SQL Alchemy Lean to create HTML pages using HTML, CSS and bootstrap Are there any course requirements or prerequisites? Git installed Docker installed Kubernetes installed Any IDE Github account Docker hub account Who this course is for: Anyone who wants to Enhance their skills in DevOps domain Developers and IT Pros Instructor User photo Pranjal Srivastava Docker | Kubernetes | AWS | Azure | ML | Linux | Python I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer. I have authored 60+ courses with over 50,000+ students worldwide across 175+ countries on wide array of technologies like containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
toto-build-and-test
Python tool to provide signed metadata relevant to the build and test phase of the software development lifecycle. Built as capstone project for the Application Security class at NYU Tandon School of Engineering.
effective_python
Keynotes from Effective Python: 90 Specific Ways to Write Better Python (2nd Edition) (Effective Software Development Series)
TheCodeShip
Source of my blog discussing everything related to programming and software development. Built with Python's Pelican.
software-development-best-practices
Comprehensive collection of essential software engineering practices and recommendations.
msai-python
Open course on Python and Software Development
nyu-info-2335-201905
Programming in Python & Fundamentals of Software Development - Summer 2019
software-development
A primer on software development best practices for computational chemistry
splunk-sdk-python
Splunk Software Development Kit for Python
software-development-best-practices
Modest and essential collection of software engineering practices.
Python-software-engineering
Repository for participants of the "Python software engineering" training
Hands-On-Software-Engineering-with-Python
Hands-On-Software-Engineering-with-Python, published by Packt
software-engineering-python
Simple Software Engineering techniques for Python developers