conversations.from: human
conversations.value: Provide a description for a book titled Learning Go programming about Vladimir, Java, vladimirvivien with the genre: Computers & Technology, Operating Systems.
conversations.from: assistant
conversations.value: the author (@vladimirvivien) is a software engineer living in the United States. He is a previously published author and has written code in languages such as Java, JavaScript, Python, C to name a few. Vladimir has work in diverse industries including technology, publishing, financial, and healthcare. After years of building enterprise systems using Java, Vladimir came to Go for its simplicity and stayed for its concurrency and fast build time. Vladimir continues to use Go as his primary language to build and create open source software (https://github.com/vladimirivivien).
conversations.from: human
conversations.value: Swap the first and the last sentence.
conversations.from: assistant
conversations.value: com/vladimirivivien). He is a previously published author and has written code in languages such as Java, JavaScript, Python, C to name a few. Vladimir has work in diverse industries including technology, publishing, financial, and healthcare. After years of building enterprise systems using Java, Vladimir came to Go for its simplicity and stayed for its concurrency and fast build time. Vladimir continues to use Go as his primary language to build and create open source software (https://github.the author (@vladimirvivien) is a software engineer living in the United States.
conversations.from: human
conversations.value: Provide the first five paragraphs for this book.
conversations.from: assistant
conversations.value: Learning Go programming
  As of this writing, gob encoder and decoder APIs are only available in the Go programming language. This means that data encoded as gob can only be consumed by Go programs.
  By default, the name of a struct field is used as the key for the generated JSON object. This can be controlled using `struct` type tags to specify how JSON object key names are mapped during encoding and decoding of the data. For instance, the following code snippet declares struct fields with the `json:` tag prefix to specify how object keys are to be encoded and decoded:
  Notice the JSON object keys are titled as specified in the `struct` tags. The object key `"pages"` (mapped to the struct field, `PageCount`) is encoded as a string. Finally, the struct field, `ISBN,` is omitted, as annotated in the `struct` tag.
  In the previous example, values of the `Name` type are serialized as a JSON string (instead of an object as earlier). The serialization is handled by the method `Name.MarshallJSON` which returns an array of bytes that contains the last and first name separated by a comma. The preceding code generates the following JSON output:
  For the inverse, when a decoder encounters a piece of JSON text that maps to a type that implements `json.Unmarshaler`, it delegates the decoding to the type's `UnmarshalJSON` method. For instance, the following shows the abbreviated code snippet that implements `json.Unmarshaler` to handle the JSON output for the `Name` type:
conversations.from: human
conversations.value: Provide four more paragraphs.
conversations.from: assistant
conversations.value: First, the server code is updated with an additional handler to serve the static HTML file that renders the GUI on the browser. This is illustrated in the following code:
  The preceding code snippet shows the declaration of the `gui` handler function responsible for serving a static HTML file that renders the GUI for the client. The root URL path is then mapped to the function with `mux.HandleFunc("/", gui)`. So, in addition to the `"/currency" `path, which hosts the API end-point the `"/"` path will return the web page shown in the following screenshot:
  The next HTML page (golang.fyi/ch11/currency.html) is responsible for displaying the result of a currency search. It uses JavaScritpt functions along with the `jQuery.js` library (not covered here) to post JSON-encoded requests to the backend Go service as shown in the following abbreviated HTML and JavaScript snippets:
  When a search value is provided in the text box on the GUI, the page displays its results in the table dynamically as shown in the following screenshot:
conversations.from: human
conversations.value: Provide the last four paragraphs.
conversations.from: assistant
conversations.value: According to the benchmark report, method `Eq2` is more performant of the two equality methods. It runs in about half the time of the original method, with considerably less memory allocated. Since both benchmarks run with similar input data, we can confidently say the second method is a better choice than the first.
  Depending on Go version and machine size and architecture, these benchmark numbers will vary. However, the result will always show that the Eq2 method is more performant.
  This discussion only scratches the surface of comparative benchmarks. For instance, the previous benchmark tests use the same size input. Sometimes it is useful to observe the change in performance as the input size changes. We could have compared the performance profile of the equality method as we change the size of the input, say, from 3, 10, 20, or 30 elements. If the algorithm is sensitive size, expanding the benchmark using such attributes will reveal any bottlenecks.
  This chapter provided a broad introduction to the practice of writing tests in Go. It discussed several key topics, including the use of the `go test` tool to compile and execute automated tests. Readers learned how to write test functions to ensure their code is properly tested and covered. The chapter also discussed the topic of testing HTTP clients and servers. Finally, the chapter introduced the topic of benchmarking as a way to automate, analyze, and measure code performance using built-in Go tools.