There are differences between python and go languages: 1. Python syntax uses indentation to indicate code blocks; Go syntax is based on opening and closing brackets; 2. Python is a multi-paradigm language based on object-oriented programming; Go is based on concurrent programming Paradigmatic procedural programming language. 3. Python is a dynamically typed language, and Go is a statically typed language.
The operating environment of this tutorial: windows10 system, GO 1.11.2&&python3, Dell G3 computer.
Go (also known as Golang) is a statically strongly typed, compiled language developed by Google's Robert Griesemer, Rob Pike and Ken Thompson. The Go language syntax is similar to C, but its functions include: memory safety, GC (garbage collection), structural form and CSP-style concurrent computing.
Go's syntax is close to C language, but the declaration of variables is different. Go supports garbage collection. Go's parallel model is based on Tony Hall's Communicating Sequential Process (CSP). Other languages that adopt a similar model include Occam and Limbo, but it also has features of Pi operations, such as channel transmission. Plugin support is opened in version 1.8, which means that some functions can now be dynamically loaded from Go.
Python is a widely used interpreted, object-oriented, high-level programming language with dynamic semantics.
Python is an object-oriented, high-level programming language with integrated dynamic semantics, primarily used for web and application development. It is very attractive in the field of rapid application development because it provides dynamic typing and dynamic binding options.
Python is an interpreted language, which means that programs written in Python do not need to be compiled before running, making it easy to test small pieces of code and making code written in Python easier to move between platforms.
1. Syntax
Python’s syntax uses indentation to indicate code blocks. Go's syntax is based on opening and closing parentheses.
2. Example
Python is a multi-paradigm, imperative and functional programming language based on object-oriented programming. It adheres to the idea that if a language behaves a certain way in certain contexts, it should ideally work similarly in all contexts. However, it is not a pure OOP language, and it does not support strong encapsulation, which is one of the main principles of OOP.
Go is a procedural programming language based on the concurrent programming paradigm, which has superficial similarities to C. In fact, Go is more like an updated version of C.
3. Concurrency
Python does not provide a built-in concurrency mechanism, while Go has a built-in concurrency mechanism.
4. Typing
Python is a dynamically typed language, while Go is a statically typed language, which actually helps to catch errors at compile time, which Serious errors later in production can be further reduced.
5. Security
Python is a strongly typed language that is compiled, thus adding a layer of security. Go has a type assigned to every variable, therefore, it provides safety. However, if any errors occur, users need to run the entire code themselves.
6. Managing memory
Go allows programmers to manage memory to a large extent. However, memory management in Python is fully automated and managed by the Python VM; it does not allow the programmer to be responsible for memory management.
7. Libraries
Compared with Go, Python provides a much larger number of libraries. However, Go is still new and hasn't made much progress yet.
8. Speed:
Go is much faster than Python.
1. Features:
Golang
① Static strong typing, compiled type, concurrent type
Static type language, but has the feeling of dynamic language. (A statically typed language means that most hidden problems can be checked out during compilation. The feeling of a dynamic language is that there are many packages that can be used, and it is very efficient to write)
Can be directly compiled into machine code , does not rely on other libraries, the version of glibc has certain requirements, and deployment is completed by throwing a file up.
The language level supports concurrency. This is the biggest feature of Go. It inherently supports concurrency. Go supports concurrency in its genes. It can make full use of multiple cores and make it easy to use concurrency.
②Garbage collection mechanism
Built-in runtime supports garbage collection. This is one of the characteristics of dynamic languages. Although GC (memory garbage collection mechanism) is not perfect at present, it is enough. Cope with most situations we can encounter, especially GC after Go1.1.
③Support object-oriented programming
There are concepts of interface types and implementation types, but inheritance is replaced by embedding.
④Rich standard library
Go currently has a large number of built-in libraries, especially the network library is very powerful.
⑤Embedded C support
Go can also directly contain C code, making use of the existing rich C library
Python
①Interpreted language
Program There is no need to compile before running, it is translated when the program is run. A specialized interpreter is responsible for interpreting the program code when each statement is executed. In this way, the interpreted language needs to be translated every time it is executed, which is relatively inefficient.
②Dynamic data type
Supports overloaded operators and generic design. (Operator overloading is to redefine the existing operator and give it another function to adapt to different data types. Generic design means that there is no need to specify the type when defining it, and then specify it when the client uses it. Type)
③Completely object-oriented language
Functions, modules, numbers, and strings are all objects. In Python, everything is connected to objects
Fully supports inheritance and reuse Contains, multiple inheritance
④Has a powerful standard library
The core of the Python language only contains common types and functions such as numbers, strings, lists, ancestors, dictionaries, sets, files, etc., and is composed of The Python standard library provides additional functions such as system management, network communication, text processing, database interface, graphics system, XML processing, etc.
⑤The community provides a large number of third-party libraries.
The Python community provides a large number of third-party modules, which are used in a similar way to the standard library. Their functions cover scientific computing, artificial intelligence, machine learning, web development, database interfaces, and graphics systems.
2. Application
Python
①Network programming
web Application, web crawler
②Data analysis and machine learning
③Automated testing
④Automated operation and maintenance
Golang
①Server Programming
Processing logs, data packaging, virtual machine processing, file systems, etc.
②Distributed systems, database agents, etc.
③Network programming
This area is currently the most widely used, including Web applications, API applications, and download applications.
④In-memory database
For example, groupcache developed by Google is part of couchbase.
⑥Cloud Platform
Recommended learning: Golang tutorial
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