Gorilla Mux can handle route parameters with different data types by using regular expressions in route patterns. Regular expressions allow you to specify patterns that match specific data types, such as integers or strings, for route parameters. This provides flexibility in handling various types of data in your routes.

By using a mocking framework, you can simulate the behavior of the database interactions without actually accessing the database. This allows for controlled testing without the need for a real database connection, making tests faster and more reliable.

Middleware functions in Go typically have access to both the request and response objects, allowing them to inspect and manipulate both the request and response. This access facilitates tasks such as authentication, logging, adding headers, modifying payloads, etc., within the middleware layer before passing the request to the main handler. It enhances flexibility and enables centralized processing of common functionalities.

Database connection pooling optimizes connection usage in a Go application. Rather than opening and closing database connections for each query, it maintains a pool of connections that can be reused, reducing the overhead of establishing new connections and improving performance.

Reflection in Go refers to the ability of a program to examine its own structure, particularly types. It allows for dynamic type introspection and modification at runtime. This feature is useful in scenarios such as implementing generic algorithms, serialization, and parsing.

In Go, JSON data is commonly represented using structs, where each field in the struct corresponds to a key-value pair in the JSON object.

GoTest is commonly used in the Go programming language to measure code coverage. It is a built-in tool that provides functionality for writing and running test suites. By using GoTest with appropriate flags, developers can generate coverage reports that show which parts of their codebase are covered by tests. This helps ensure that critical code paths are adequately tested and can aid in identifying areas that require additional test coverage.

Prioritizing testing based on critical functionalities ensures that the most important parts of the codebase are thoroughly tested, reducing the risk of critical bugs in production. It also helps in stabilizing the application by addressing potential issues early in the development cycle.

Anonymous functions are commonly used in Go for concurrency purposes, such as spawning goroutines and implementing callback functions.

In Go, the float64 data type is used to represent decimal numbers with floating-point precision. It offers a wider range and higher precision compared to float32. The float32 type is also available but is typically used when memory optimization is a concern.