- Data structures
- Stack Data Structure
- The Queue Data Structure
- Heaps
- Hash Tables
- Graphs in computer science
- Two-three trees
- Algorithms
- Algorithmic Efficiency and Big-O notation
Find the original here article here: Devops Best Practices
DevOps started out as "Agile Systems Administration". In 2008, at the Agile Conference in Toronto, Andrew Shafer posted an offer to moderate an ad hoc "Birds of a Feather" meeting to discuss the topic of "Agile Infrastructure". Only one person showed up to discuss the topic: Patrick Debois. Their discussions and sharing of ideas with others advanced the concept of "agile systems administration". Debois and Shafer formed an Agile Systems Administrator group on Google, with limited success. Patrick Debois did a presentation called "Infrastructure and Operations" addressing
For a brief user-level introduction to CMake, watch C++ Weekly, Episode 78, Intro to CMake by Jason Turner. LLVM’s CMake Primer provides a good high-level introduction to the CMake syntax. Go read it now.
After that, watch Mathieu Ropert’s CppCon 2017 talk Using Modern CMake Patterns to Enforce a Good Modular Design (slides). It provides a thorough explanation of what modern CMake is and why it is so much better than “old school” CMake. The modular design ideas in this talk are based on the book [Large-Scale C++ Software Design](https://www.amazon.de/Large-Scale-Soft
React.js
- Official documentation - https://reactjs.org/docs/hello-world.html
- React.js course by Kent C. Dodds - https://egghead.io/courses/the-beginner-s-guide-to-reactjs
- React Holiday - https://react.holiday/
- React Englightment - https://www.reactenlightenment.com/
- Learn React by Michael Chan - https://learnreact.com/
- 30 days of React - https://www.fullstackreact.com/30-days-of-react/
- The road to learn React - https://www.robinwieruch.de/the-road-to-learn-react/
- React Patterns - https://reactpatterns.com/
- React bits - https://github.com/vasanthk/react-bits
Welcome to the session 6 lab 5. The work for this lab is done in ~/kafka-training/lab6.5.
In this lab, you are going to implement a thread per consumer.
Please refer to the Kafka course notes for any updates or changes to this lab.
Find the latest version of this lab here.
This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).
Matrix multiplication is a mathematical operation that defines the product of
For example your latest image with semantic versioning looks like this:
${DOCKER_HUB_ORG}/${DOCKER_HUB_REPO}:v1.20.0
Example provided above will do the folowing:
- Generate token using your github username and password.
- Get list of all tags from repository.