Shiju Varghese

Go Recipes (eBook, PDF)

A Problem-Solution Approach

• Format: PDF

Produktbeschreibung

Go Recipes: A Problem-Solution Approach provides an invaluable reference to using the Go programming language, showing idiomatic and best practice code for solving common problems encountered by developers in all industries.

What you'll learn

. Core fundamentals of Go programming language.

. How to persist data into relational databases and into NoSQL databases.

. How to build scalable backend APIs in Go.

. How to build and deploy Go web applications into multiple Cloud platforms.

. Building Microservices in the container era.

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Produktdetails

• Verlag: Apress
• Seitenzahl: 237
• Erscheinungstermin: 17. November 2016
• Englisch
• ISBN-13: 9781484211885
• Artikelnr.: 53153037

Autorenporträt

Shiju Varghese is a solutions architect who specializes in cloud computing solutions and distributed web apps. His current technology focus is on Go, Google Cloud, Azure, and Docker. He has been working with Web technologies since early 2000, and has developed web apps and distributed systems in Go, C#, and Node.js. His areas of interest include cloud solutions architecture, application containers, distributed systems, RESTful microservice architecture, and mobile backend as a service. Shiju has been awarded Microsoft MVP status five times. He is a regular speaker at various technology conferences.

Inhaltsangabe

1. Go Idioms

2. Working with Text

3. Dates and Times

4. Concurrency and Locking

5. Files and IO

6. Graphics and Images

7. Building Cloud Services

8. Writing Web Services

9. Algorithms and Data Structures

10. Memory Management

11. Numeric Computing

12. Big Data Analytics

13. Mobile

14. Windows

15. Testing and Debugging

16. Performance

17. Security and Encryption

18. Databases

19. Parsing Go Programs

20. Gotchas

1. Go Idioms

Common programming patterns in Go. Naming and packaging code. Error handling.

2. Working with Text

Manipulating and formatting strings. Character sets and encodings. Templating text.

3. Dates and Times

Parsing and formatting dates and times. Using timers to schedule events. Running code at precise intervals.

4. Concurrency and Locking

Using goroutines to create multithreaded programs. Use channels to coordinate and synchronise threads. Using locks and atomic operations to safely share data between threads.

5. Files and IO

Reading, writing and processing files. Walking file systems and searching for files. Parsing CSV, JSON and XML.

6. Graphics and Images

Reading images and then resizing, compositing and filtering them. Drawing shapes and text. Converting image formats.

7. Building Cloud Services

Writing cloud services with TCP and UDP. Downloading, uploading and processing files, sending email, implementing network protocols.

8. Writing Web Services

Creating a web server with request routing. Handling cookies and serving multiple file types. Writing server logs and recording performance metrics. Using JSON and WebSockets to interact with Javascript browser applications.

9. Algorithms and Data Structures

Sorting and searching data. Writing trees, graphs and lists to organise data.

10. Memory Management

Understanding and avoiding garbage collection. Efficient use of memory. Working with large datasets.

11. Numeric Computing

Writing statistical functions, working with matrices. Using high precision and complex numbers.

12. Big Data Analytics

Performing calculations over streams of data and time series. Map/reduce and dealing with data larger than memory. Parallelizing data analysis.

13. Mobile

How to write programs and games for mobile devices. Compiling Go programs for Raspberry Pi and other devices.

14. Windows

Creating GUIs on Windows and other operating systems. Writing Windows specific code and calling DLLs.

15. Testing and Debugging

Writing tests and test suites. Separating and running different types of test. Using a debugger with Go programs. Using environment variables for runtime debugging.

16. Performance

Benchmarking Go code. Analysing memory use and performance. Optimisation techniques for Go programs. Tuning concurrency options.

17. Security and Encryption

Hashing and verifying passwords with bcrypt. Computing hashes of data streams. Encrypting and decrypting data. Accessing secure cloud services.

18. Databases

Accessing and querying databases such as MongoDB, mySQL, Postgesql, MS SQL Server and Oracle. Using in-memory databases.

19. Parsing Go Programs

Analysing, formatting and checking Go source code. Generating and templating code.

20. Gotchas

Common pitfalls and subtleties of programming with Go.