Go is a compiled, typed language inspired by C syntax that allows programmers familiar with C to migrate to a modern language with the same power. It supports asynchronous concurrency through goroutines and channels, allowing for high performance on multi-core systems. Go programs compile to static binaries with no dependencies, making deployment simple. Popular frameworks for Go include Faygo, Essgo, Macaron, Hugo, Baa, Gin, Beego, Buffalo, Revel, and Gorilla. Overall, Go is well-suited for backend systems requiring high performance and concurrency due to its stability, efficiency and ease of use.

2. Choosing a programming language is generally based on the business needs that
you face today, combined with the characteristics of the language.
GO is a compiled language, inspired by the syntax of C, typed, developed by Google.
Its design allowed programmers who have several years with C to migrate to a
current language but with the same power.
It has gained a lot of strength, renowned companies trust Golang, including
Dropbox, Docker, Facebook, Netflix, Uber and Twitter.
So let’s talk about the advantages of Go and its suitable business scenario.
Advantages of Go
Support for asynchronous and high concurrency
The goroutine is simple to create, the system consumes a small amount, and the
channel mechanism facilitates communication between goroutines, making it easy
to implement a highly concurrent service.
Goroutine and channel make it very easy to write highly concurrent server
software, and in many cases there is no need to consider the locking mechanism
and the resulting problems.

3. A single Go application can also effectively utilize multiple CPU cores, and the
performance of parallel execution is good. This is also a world of Python. Multi-
threaded and multi-process server programs are not easy to write, and due to the
global lock GIL, multi-threaded Python programs can not effectively use multi-
core, can only be deployed in multiple processes; if using multiprocessing in the
standard library The package will pose a lot of challenges for monitoring and
management [we use the supervisor management process, which is not good for
fork support]. When deploying Python applications, it is usually to deploy one
application per CPU core, which will waste a lot of resources. For example, if a
Python application needs to occupy 100MB of memory after booting, and the
server has 32 CPU cores, then leave a core for System, running 31 application
copies will waste 3GB of memory resources.
Deploy, run
Go’s program, compiled as a binary file, can be run directly, no need to install other
dependencies, very convenient.
At runtime, the initial memory used is extremely low. The same function, if the
program is written well, consumes less memory than other languages, which means
less computing resources are consumed.

4. Go compiles a static executable that has no external dependencies other than
glibc. This makes deployment very convenient: only one basic system and the
necessary management and monitoring tools are needed on the target machine,
and there is no need to worry about the various packages and library dependencies
required by the application, which greatly reduces the maintenance burden. This is
a huge difference from Python. Due to historical reasons, Python’s deployment
tools are quite confusing [such as setuptools, distutils, pip, buildout and
compatibility issues]. The official PyPI source is often problematic and requires a
private image to be built. It takes a lot of time and effort to maintain this image.
Language Characteristics
The type of derivation, that is, the variable does not necessarily need to define the
type, the type is deduced by the compiler, which is a function that emerges in many
new languages (such as Kotlin and Swift), avoiding many types of definitions, and
greatly improving programming efficiency.
Support type reflection, can handle common words for some data structures, can
be serialized and deserialized (such as the built-in JSON Marshal/Unmarshal
function), in your own business, you can implement type functions. A serialized,
deserialized package of data structures.

5. Field tag, can achieve automatic processing of the struct field, such as the
function of json Marshal/Unmarshal mentioned above, you can define the last
serialized field name, you can also define the field as When empty, do you want
to include this field; similarly, we can define the tag type ourselves and define
the semantics of the tag to meet our needs.
Support for multiple return parameters, a language feature I liked when I wrote
Python before, and it is also very handy in Golang.
Built-in GC, most of the time do not need to manually handle the allocation and
release of memory.
Good Language Design
From an academic point of view, the Go language is very mediocre and does not
support many advanced language features; but from an engineering perspective,
Go’s design is very good: the specification is simple enough and flexible, and
programmers with other language foundations can quickly get started. . More
importantly, Go has a well-developed tool chain that greatly enhances teamwork
consistency. For example, gofmt automatically typeset Go code, which largely
eliminates the problem of inconsistent code layout style written by different
people.

6. Configure the editor to automatically run gofmt when editing the archive, so you
can place the position at random when writing the code, and automatically
become the correct typesetting code when you archive. There are also very useful
tools like gofix, govet and more.
Good performance. Although not as good as C and Java, it is usually an order of
magnitude higher than native Python applications and is suitable for writing some
bottlenecks. Memory usage is also very low.
Tool Chain
Gofmt, after configuring gofmt in the editor, makes the code style of everyone
unified. When working together in the team, this tool is extremely useful, no longer
need to set a lot of mandatory code specifications.
GoLand, this is the IDE produced by JetBrains. Since I used it, I feel that writing
code every day is very pleasant.
Further, we will study about the Golang Frameworks:

7. 1. Framework: Faygo
Faygo is a fast, compact Go Web framework that produces high-performance web
applications (especially API interfaces) with minimal code. Simply define the
struct Handler and Faygo will automatically bind, validate the request
parameters and generate an online API document.
2. Framework: Essgo
Essgo is a simple, stable, efficient and flexible web development framework
developed by Go. Its project organization form has been carefully designed to
achieve separation between front and rear, system and business separation,
perfect compatibility with MVC and MVVC and other development modes which is
very conducive to the development of enterprise applications and API interfaces.
Of course, the most noteworthy is its breakthrough support for runtime route
rebuild, developers can easily configure routing in the Admin background and
enable/disable modules or operations, add/remove middleware, and more!
3. Framework: Macaron
Macaron is a Go Web framework with high productivity and modular design. The
framework follows the basic ideas of Martini and builds on it.

8. 4. Framework: HuGo
HuGo is a Go Web framework based on my previous php development
experience. Strive to be simple and straightforward, in line with popular writing
habits, and at the same time excellent performance. HuGo is based on MVC’s
architectural pattern, enabling REST-supported automatic route distribution,
simplifying HTTP requests and view operations. At the same time, HuGo
provides a simple and straightforward data access layer for efficient and direct
manipulation of database content. It is a generator of static websites.
You can combine it with frameworks like Bootstrap or Materialize for FrontEnd.
5. Framework: Baa
Baa is a simple and efficient Go web development framework. There are mainly
routing, middleware, dependency injection and HTTP context. Baa does not use
reflections and regulars, and there is no magical implementation.
6. Framework: Gin
It is a framework that promises to be faster than many others, it is a quite
simple but powerful tool for creating microservices. A very interesting article
Build RESTful API service golang in using gin-gonic framework.

9. 7. Framework: Beego
At the end of the course the framework is mentioned, it has a MVC model that
is worth using. If you install bee this helps a lot to accelerate the development.
It has its own ORM.
8. Framework: Buffalo
Use the Gorilla toolkit to manage routes, sessions, cookies, etc. It is also
compatible with the pop ORM which supports MySQL / MariaDB, PostgreSQL
and SQLite. If you run it with buffalo dev You can reload the hot code from the
backend to the frontend and see the changes live.
9. Framework: Revel
It is a quite complete framework and not for nothing the one used in the course.
It is fast, simple and configurable.
10. Framework: Gorilla
Gorilla is not a framework but a set of libraries for web and Golang Development
Services, this is not me saying but them. If you go for something very basic to
try web socket for example, Gorilla is a good option.

10. To Conclude:
GO, is a very powerful language with the stability of a low level language and
with innovations such as high level this makes this language very special for
backend developers, who have to process large amounts of data. The ease of
learning and mastering it makes development relatively fast.

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Golang Development Company