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This article mainly introduces "what are the key differences between Python and Go". In daily operation, I believe many people have doubts about the key differences between Python and Go. The editor consulted all kinds of materials and sorted out simple and easy-to-use methods of operation. I hope it will be helpful to answer the questions of "what are the key differences between Python and Go?" Next, please follow the editor to study!

Golang: born with a golden spoon, high concurrency performance comparable to C++

Go is funded by Google.

Because Google has invested in the programming language, developers can trust the programming language, and because the product is supported by Google, Go is expected to bring high-end security. Go is also considered to be a fast and perfect programming language with rich and interesting features, the most important of which is its simple syntax and structure. Therefore, it does not take much time to use this programming language. Developers can increase the speed at which they write code for software or applications.

Go also has efficient concurrency and speed, which is similar to Java, C, C + + and other programming languages.

Go language can also be cross-platform, including Linux,Windows,Unix,BSD and so on. It also applies to many other operating systems. Go has the potential for sustainable development as an important programming language in the future. As a cross-platform programming language, it provides convenience for developers who want to build applications on multiple platforms. At the same time, the garbage collector feature of the Go language is worth mentioning, which provides programmers with automatic memory cleanup tools. When memory is full, programmers must spend a lot of time looking for junk code to clean up space, while Go has automatic garbage detection and cleanup capabilities. Enables programmers to focus on their applications or software development, regardless of memory or space.

Python is suitable for beginners, and Golang is the material for engineering.

Python is a high-level object-oriented language. It has built-in data structures and combines dynamic binding and typing, making it an ideal choice for rapid development. Python also provides support for modules and packages, which allows system modularization and code reuse.

Python is also one of the fastest programming languages to get started because it requires only a few lines of code. The emphasis is on readability and simplicity, which makes it a good choice for beginners.

Figure: number of questions for Python and Go on Stack Overflow

Switching to a new programming language is often a big deal, especially if team members have a lot of experience with the original language. Earlier this year, Stream converted its main programming language from Python to Go.

Key differences between Python and Go:

1.Go is a procedural, functional concurrent language, while Python is an object-oriented, imperative, functional language.

2.Go supports concurrency, but Python does not have any built-in concurrency mechanism

3.Go is an ideal choice for system programming, while Python is a popular language for solving problems in data science.

4.Go does not provide exceptions, but Python supports exceptions; Go does not support inheritance, while Python supports inheritance

5. Although building code with Go takes more time than Python or Ruby, you can save a lot of time optimizing your code. As shown in the figure above, Go is very fast, about 30 times faster than Pyhon.

For high performance, switch from Python to Go

High speed

The speed of Go is very fast, it is close to Java or C, and 30 times faster than Python.

The performance of the language itself is important.

For many applications, the programming language is just the glue between the application and the database. The performance of the language itself is usually not important.

Python is a great language, but it has poor performance for serialization / deserialization, sorting, aggregation, and so on. It takes 1 millisecond for Cassandra to retrieve data, and Python converts it to an object within the next 10 milliseconds.

The efficiency of developers does not have to be too innovative

Many people always like to use the advanced features of Python when they are first exposed to programming. Python allows developers to get good ideas from the code they are writing. These features are interesting, but most programmers think they make it more difficult to read other people's code. Go forces you to use the most basic things, which makes it easy to read other people's code.

Concurrency and channel

As a programming language, Go is always as simple as possible and does not introduce too many new concepts, because its goal is to create an easy-to-use programming language.

The only places to innovate are Goroutines and Channel. Goroutine is Go's lightweight threading solution, and Channels is the preferred way to interact with Goss.

Goroutine is very lightweight and requires only a few thousand bytes of extra memory. Because Goroutine is so lightweight, there can be hundreds of goroutine running at the same time.

Goroutine and channel-based concurrency schemes make it easy for applications to use all available CPU kernels and handle concurrent IoOs without complicating development. Compared to Python/Java, running a function on Goroutinerequires requires very little fixed code.

Fast compilation speed

Compared with Turtle speed compilation in languages such as Java and C, the largest micro-service project written in Go can be compiled in only 6 seconds. The fast compilation speed of Go is its main productivity.

A powerful ecosystem

It has a huge ecosystem advantage over other new languages, such as Rust or Elixir,Go. Although it is not comparable to Java, Python, or Node, you can still find high-quality packages that meet many basic needs.

Gofmt, forcing code formatting

Gofmt is an excellent command-line program built into the Go compiler for formatting code. In terms of functionality, it is similar to Python's Autopep 8. Gofmt formats the code in a formal manner to avoid all these parameters.

GRPC and protocol buffering

Go provides best-in-class protocol buffering and gRPC support. These two tools combine perfectly to build a micro-server that communicates through RPC. You only need to edit a library file that defines the RPC call and its parameters, from which the server and client can automatically generate the appropriate code. This is not only fast, but also occupies less network space and is more convenient to use. However, for all its advantages, the Go language is not so perfect.

There are also some shortcomings compared to the Python,Go language:

Go is not a universal language.

API integrated with Go has no officially supported Go SDK

The support of the library is not rich enough

Dependence management is not sound enough. I don't know if your friends or friends around you have started to use Go.

At this point, the study on "what are the key differences between Python and Go" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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