What is the charm of python, which is warmly pursued by countless programmers?

Now ,Python It has become a mainstream programming language . It's natural beauty , Easy to read and write , Very practical , Thus winning a broad mass base , Known as the “ The best programming language in the universe ”, It is warmly sought after by countless programmers .

• In data science and AI The dominant position in ;

• With high quality documents and rich Libraries , It's useful for a wide range of programming tasks for scientific purposes ;

• The design is very good , Fast , strong , portable , Scalable ;

• Open source , And have a healthy 、 active 、 A supportive community .

When Python No longer just as a system management tool , When taking the first step across the border , It will never stop , from Web Development to scientific computing , from 3D Modeling to artificial intelligence , From embedded development to cloud computing and big data , Almost every corner , Can see Python The figure of .

1. System management tools

Python From the very beginning, it was developed to improve the efficiency of system management . Built in os The module can be compatible with most mainstream operating systems , Provide basically consistent operation mode , The system administrator's script only needs to be written once , Can run on different operating systems . With the help of Python Simple and efficient grammar ,Python The development efficiency of complex system management task is much higher than Shell, At the same time, the execution efficiency is much higher than the process switching Shell. In order to use the common Linux Command line tools ,David Beazley use Python In a few days Windows A set of Linux Common toolsets .

For complex system management , Currently popular configuration management tools , Such as Fabric,Ansible,Saltstack etc. , The operation and maintenance personnel can use several lines of commands , Let hundreds of servers be obedient . With DevOps The development of sports ,“ Infrastructure is code ” The idea of is more and more popular , With the help of molecule perhaps testinfra Such a tool , Developers can run unit tests as well , Test the configuration of the infrastructure .

2. Web Development

The first website in the world is 1989 Annual online , And the World Wide Web (World Wide Web) stay 1994 It was invented in . so to speak ,Python I grew up with the Internet . As a dynamic language , And with a higher level of abstraction Python and Perl, Developers soon found it more suitable for developing websites , And played an important role in the early rise of the Internet .

With the development of the Internet , Many programming languages based on the Internet have been invented , such as Java,PHP,Ruby etc. , Gradually surpass Python and Perl These elders . however Python stay Web The development field still has a place . For example, the famous one-stop Web frame Django, Lightweight Flask, High concurrency performance Tornado etc. . Some famous websites , Also in Python With the support of Technology , such as Youtube、Reddit、Pinterest、Dropbox、 Douban, etc .

3. Scientific Computing

stay Web Technology is popular ,Java、PHP When the programming language comes to the fore ,Python My attention is not entirely focused on Web above , Casually give up the first mover advantage , They switched to scientific computing .

Python An idea at the beginning of the design is , Try to program in English or the agreed expression in high school algebra , So although the initial application scenario did not consider scientific computing , But the academic world is eyeing Python.1995 year , A study of how to make Python A group supporting efficient matrix operation was established ,Python The founder of ——Guido van Rossum Also in this group , In order to make Python Better support for matrix operations , Some are specially designed and modified Python grammar . In this year ,Numeric Numerical calculation library release , stay 2006 year ,Numeric Officially renamed NumPy.

Entering the new century , around NumPy, More scientific computing related toolkits have been developed , For example, for scientific computing SciPy, For symbolic computation SymPy, For data analysis Pandas, For data visualization Matplotlib, And an interactive development environment that can draw pictures in real time IPython Notebook etc. . stay Matlab And other professional software have dominated the whole scientific computing field for many years ,Python Proximity 10 Years of time , Won a place in academia . While other general-purpose programming languages are Web The fighting ends in the tide , When I want to grab a piece of territory in scientific computing , But I found that things have become much more difficult than before .

4. Cloud computing

In the Post Internet era , Cloud computing and big data are the two most mentioned concepts . The popularity of the Internet , It has brought about a substantial reduction in the cost of information production and exchange , It also led to the information explosion . To further reduce costs , And unleash the value of data , Cloud computing and big data technology came into being .

Talking about cloud computing , I have to mention that OpenStack, It has become the de facto open source private cloud platform standard .OpenStack choice Python As the main development language , The main reason is , yes Python As glue language , It can interact well with the operating system , It is also easy to integrate tool libraries written in other languages , and Python Its own ecology is strong enough , Like distributed task management ,Web Development can be well supported . For the same reason , Public cloud platform with the largest market share at present AWS Available at the beginning of release Python SDK Support .

5. big data

The rise of big data technology , It gives many new technologies a chance to show their face . such as Scala、R、Julia These languages , It used to be a minority language , But because of their advantages in big data , It attracts a lot of developers . In addition to these minority languages ,Java and Python They are two of the traditional powerful programming languages .

Python We will not fall behind , To benefit from its accumulation in the field of Scientific Computing , such as Pandas and SciPy, These tools were once used in academia , It also becomes important in big data processing . therefore , image Spark, H2O Such big data processing tools , The core part is not Python To write , But to meet the needs of tool users , Have spent a great deal of energy to develop Python Interface . besides , Based solely on Python Tools for , Although not much , But there are still , such as Airbnb Developed data visualization tools superset And task choreography tools airflow.

6. analogue simulation

In the programmer's circle Python, The first reaction was “ Easy to get started ”. It's because of simplicity , Everyone writes a little , Even if I can't write , You can also understand , Therefore, we do not think that Python What a proud thing . comparison Python, Programmers are more willing to show off what they are good at Clojure perhaps Haskell Such a relatively complex programming language .

But simplicity has its advantages . Because it is easy to use , Give Way Python It has become the preferred scripting language for various simulation software . For example, the famous image processing tool GIMP,3D Modeling tools 3ds Max,Blender, Movie special effects tool Houdini, Maya, Movie post compositing tool Nuke wait , Are subject to Python As a script .

7. Artificial intelligence

since AlphaGo Victory over lishihu begins , Artificial intelligence is in a mess . However , Artificial intelligence is not a new concept , Its history has exceeded half a century . In the development of artificial intelligence in the past decades , The traditional mainstream programming language is obviously Lisp, Then the show is like Prolog Such language . But when this wave of artificial intelligence really began to catch on , It was found that , Those popular frameworks and tools , Or use Python Written , such as Theano, Or C++ Written , however Python As an interface language , such as TensorFlow,Caffe,MxNet etc. . The only non Python frame Torch, stay 2017 Years can't resist the pressure , Developed PyTorch.

8. other

In the field of algorithmic trading and quantitative investment ,Python It's one of the best choices .

In the embedded field , Popular programmer toy raspberry pie , choice Python As the main programming interface .

In software development management , Building tools Scons And transaction tracking tools Trac Although not particularly popular , But also in an active state .

Even though Python The main application scenarios of are on the command line , But that doesn't mean they can't develop desktop software , With the help of PyQt and Kivy These graphic Libraries ,Python You can also develop beautiful desktop software .

To borrow a catchword ：Python So powerful , Why not go to heaven ?

in fact ,NASA You are really using Python To develop software , It is mainly used for system integration and satellite 、 Test automation of rocket, etc .

About Python Technology reserve

Learn from good examples Python Whether it's employment or sideline, it's good to make money , But learn to Python Still have a learning plan . Finally, let's share a complete set of Python Learning materials , For those who want to learn Python Let's have a little help ！

One 、Python Learning routes in all directions

Python The technical points in all directions are sorted out , Form a summary of knowledge points in various fields , The use of it is , You can find the corresponding learning resources according to the above knowledge points , Make sure you learn more comprehensively .（ At the end of the article ！）

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Two 、Python Essential development tools

3、 ... and 、Python Video collection

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Four 、 Practical cases

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5、 ... and 、Python Exercises

Check the learning results .

6、 ... and 、 Interview information

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