Golang Course - Session 5: Error handling and best practices panic and recovery

Course Feature
  • Cost
    Free
  • Provider
    Youtube
  • Certificate
    No Information
  • Language
    English
  • Start Date
    No Information
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Exadel, Inc.
Next Course
2.0
695 Ratings
At the end of the course, you will be able to: retrieve data from example database and big data management systems, describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications, identify when a big data problem needs data integration, and execute simple big data integration and processing on Hadoop and Spark platforms.
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Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [May 30th, 2023]

Introducing the Golang Course - Session 5: Error Handling and Best Practices, Panic and Recovery:
This course is designed to help you understand the fundamentals of the Go programming language and how to use it to create powerful applications. You will learn about the language's lexical elements, type system, expressions and statements, error handling and best practices, panic and recovery, memory allocations and alignment, testing, benchmarks, packages, modules, goroutines, channels, and more. You will also gain an understanding of the most useful packages, such as context, sync, HTTP servers and routers, and generics. By the end of the course, you will have the skills and knowledge to design flexible APIs in Go and be able to confidently use the language to create powerful applications. This course is ideal for those looking to develop their career or education in the field of programming, as well as those who are interested in learning more about the Go language.

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Pros & Cons
  • Slides and code available.
  • Comprehensive coverage.
  • Highly praised.
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