Coding Blocks

Podcast készítő Allen Underwood, Michael Outlaw, Joe Zack - Hétfők

Kategóriák:

Üzlet Oktatás Technológia

238 Epizód

  1. The DevOps Handbook – The Technical Practices of Feedback

    Közzétéve: 2020. 08. 03.

  2. The DevOps Handbook – Architecting for Low-Risk Releases

    Közzétéve: 2020. 07. 20.

  3. The DevOps Handbook – The Technical Practices of Flow

    Közzétéve: 2020. 07. 06.

  4. Survey Says … 2020 Stack Overflow Developer Survey

    Közzétéve: 2020. 06. 22.

  5. Google’s Engineering Practices – How to Navigate a Code Review

    Közzétéve: 2020. 06. 08.

  6. Google’s Engineering Practices – What to Look for in a Code Review

    Közzétéve: 2020. 05. 26.

  7. Google’s Engineering Practices – Code Review Standards

    Közzétéve: 2020. 05. 11.

  8. Big Data – How Far is Too Far?

    Közzétéve: 2020. 04. 27.

  9. Designing Data-Intensive Applications – To B-Tree or not to B-Tree

    Közzétéve: 2020. 04. 13.

  10. How to Work Remote Effectively

    Közzétéve: 2020. 03. 30.

  11. Designing Data-Intensive Applications – SSTables and LSM-Trees

    Közzétéve: 2020. 03. 16.

  12. Designing Data-Intensive Applications – Storage and Retrieval

    Közzétéve: 2020. 03. 02.

  13. Why Attend Developer Conferences and What were the Hot Topics at NDC London 2020?

    Közzétéve: 2020. 02. 17.

  14. Designing Data-Intensive Applications – Data Models: Query Languages

    Közzétéve: 2020. 02. 03.

  15. Designing Data-Intensive Applications – Data Models: Relationships

    Közzétéve: 2020. 01. 20.

  16. Designing Data-Intensive Applications – Data Models: Relational vs Document

    Közzétéve: 2020. 01. 06.

  17. Designing Data-Intensive Applications – Maintainability

    Közzétéve: 2019. 12. 23.

  18. Designing Data-Intensive Applications – Scalability

    Közzétéve: 2019. 12. 09.

  19. Designing Data-Intensive Applications – Reliability

    Közzétéve: 2019. 11. 25.

  20. Developer Shopping Spree 2019

    Közzétéve: 2019. 11. 12.

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Pragmatic talk about software design best practices: design patterns, software architecture, coding for performance, object oriented programming, database design and implementation, tips, tricks and a whole lot more. You'll be exposed to broad areas of information as well as deep dives into the guts of a programming language. Most topics discussed are relevant in any number of Object Oriented programming languages such as C#, Java, Ruby, PHP, etc.. All three of us are full stack web and database / software engineers so we discuss Javascript, HTML, SQL and a full spectrum of technologies and are open to any suggestions anyone might have for a topic. So please join us, subscribe, and invite your computer programming friends to come along for the ride.
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