Pinned Repositories
amazon-ecs-local-container-endpoints
A container that provides local versions of the ECS Task Metadata Endpoint and ECS Task IAM Roles Endpoint.
amazon-kinesis-data-visualization-sample
Amazon Kinesis Data Visualization Sample Application
amazon-kinesis-learning
Learning Amazon Kinesis Development
amazon-kinesis-producer
Amazon Kinesis Producer Library
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
Klayers
Python Packages as AWS Lambda Layers
ktram80
Config files for my GitHub profile.
ktram80's Repositories
ktram80/ktram80
Config files for my GitHub profile.
ktram80/amazon-ecs-local-container-endpoints
A container that provides local versions of the ECS Task Metadata Endpoint and ECS Task IAM Roles Endpoint.
ktram80/amazon-kinesis-producer
Amazon Kinesis Producer Library
ktram80/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
ktram80/Klayers
Python Packages as AWS Lambda Layers
ktram80/angular-httpclient-app
Consume RESTful API in Angular 13 using HttpClient api.
ktram80/Angular-Projects
Angular Projects with Node REST API and Python to collect data in PostgresSQL DB
ktram80/Async-Lambda-Invoke
ktram80/aws-firehose-s3-producer
Stream files uploaded to AWS S3 to AWS Kinesis Firehose
ktram80/aws-glue-spark3-docker
ktram80/aws_shell_cmd_scripts
A collection of bash shell scripts for automating various tasks with Amazon Web Services using the AWS CLI and jq.
ktram80/cdis-manifest
Manifests tracking service versions to release to each environment
ktram80/cloud-automation
Automation for standing up Gen3 commons
ktram80/developer-roadmap
Roadmap to becoming a developer in 2022
ktram80/eks-security-with-network-policies
Secure kubernetes with network policies
ktram80/elki
ELKI Data Mining Toolkit
ktram80/fuse-angular-demo
v13.6.2
ktram80/jenkins-resources
ktram80/kafka-python
Python client for Apache Kafka
ktram80/library-lookup
Finding books that are available in nearby branches of my public lending library
ktram80/local-aws-glue-v3-zeppelin
A local docker image with Zeppelin 0.10, AWS Glue v3
ktram80/mat-table-sort
Learn how to add sorting to mat-table in Angular
ktram80/ml-engineer-roadmap
WIP: Roadmap to becoming a machine learning engineer in 2020
ktram80/nginx-handbook-projects
Project codes used in "The NGINX Handbook"
ktram80/python-terraform
ktram80/python_dynamodb_lock
Python package that emulates the dynamodb-lock-client java library from awslabs
ktram80/terraform-aws-codebuild
AWS CodeBuild Module
ktram80/terraform-aws-kinesis-firehose-splunk
This code creates/configures a Kinesis Firehose in AWS to send CloudWatch log data to Splunk.
ktram80/The-Python-Mega-Course-Build-10-Real-World-Applications-
The Python Mega Course is one of the top online Python courses with over 100,000 enrolled students and is targeted toward people with little or no previous programming experience. The course follows a modern-teaching approach where students learn by doing. You will start Python from scratch by first creating simple programs. Once you learn the basics you will then be guided on how to create 10 real-world complex applications in Python 3 through easy video explanations and support by the course instructor. Some of the applications you will build during the course are database web apps, desktop apps, web scraping scripts, webcam object detectors, web maps, and more. These programs are not only great examples to master Python, you can also use any of them as a portfolio once you have built them. By buying the course you will gain lifetime access to all its videos, coding exercises, quizzes, code notebooks, and the Q&A inside the course where you can ask your questions and get an answer the same day. On top of that you are covered by the Udemy 30-day money back guarantee, so you can easily return the course if you don't like it. If you don't know anything about Python, do not worry! In the first two sections, you will learn Python basics such as functions, loops, and conditionals. If you already know the basics, then the first two sections can serve as a refresher. The other 22 sections focus entirely on building real-world applications. The applications you will build cover a wide range of interesting topics: Web applications Desktop applications Database applications Web scraping Web mapping Data analysis Data visualization Computer vision Object-Oriented Programming Specifically, the 10 Python applications you will build are: A program that returns English-word definitions A program that blocks access to distracting websites A web map visualizing volcanoes and population data A portfolio website A desktop-graphical program with a database backend A webcam motion detector A web scraper of real estate data An interactive web graph A database web application A web service that converts addresses to geographic coordinates To consider yourself a professional programmer you need to know how to make professional programs and there's no other course that teaches you that, so join thousands of other students who have successfully applied their Python skills in the real world. Sign up and start learning Python today! What you’ll learn Go from a total beginner to an advanced-Python programmer Create 10 real-world Python programs (no useless programs) Solidify your skills with bonus practice activities throughout the course Create an app that translates English words Create a web-mapping app Create a portfolio website Create a desktop app for storing book information Create a webcam video app that detects objects Create a web scraper Create a data visualization app Create a database app Create a geocoding web app Create a website blocker Send automated emails Analyze and visualize data Use Python to schedule programs based on computer events. Learn OOP (Object-Oriented Programming) Learn GUIs (Graphical-User Interfaces) Are there any course requirements or prerequisites? A computer (Windows, Mac, or Linux). No prior knowledge of Python is required. No previous programming experience needed. Who this course is for: Those with no prior knowledge of Python. Those who know Python basics and want to master Python
ktram80/yt-lambda-rest-api-iac
Build Lambda based REST API entirely using code (IAM).