What are the future development directions of Python from zero to proficient?

What are the positions that can be used in the Python language?

1. Artificial intelligence: Artificial intelligence is the most popular in the modern industry, and Python is one of the preferred languages in the field of artificial intelligence. The direction of artificial intelligence development is very hot, and it is also a very large field, and major companies are working hard for it, and many large enterprises are developing in this direction.

2. O&M: To realize the testing process through Python, it is necessary to master the Python language for O&M, which can help us improve our daily work efficiency and capabilities.

3. Data analysis: In the current market, in this era of big data, data is the key to explaining all problems, and python, as the first language of data analysis, is of great help to our work and can improve the efficiency and help of our work.

4. Web development: Web development is the existence that we can not ignore in modern times, we can't do without the network and the web in our daily lives, and the use of python framework can be used to make ** production, and can also be used as a front-end page, so we need to master data applications.

5. Python automated testing: As we all know, the Python language is very helpful for testing, and the Python language is widely used in automated testing. The most used python, as far as I know, should be automated testing.

Python is the programming language of choice for many IT professionals with simple syntax, powerful functions, and strong demand for talents. Of course, learning Python allows you to work in positions such as Python full-stack engineer, front-end development engineer, python crawler engineer, automated financial trading, etc., and the employment direction is very wide.

The prospect of python is still very good, especially in the case of China's vigorous development of artificial intelligence, there are more jobs in python, so you don't have to worry.

Python's career direction:

Web development.

Douban, Zhihu, Lagou.com, etc. are all using python, and the development of web development in China is also very good, because the web development framework of python is the biggest advantage, if you use python to build a**only a few lines** can be done, very concise;

Data mining analysis.

Python has a complete ecological environment that is very conducive to data analysis and processing, such as,"Big data"Distributed computing, data visualization, database operations, etc., required for analysis, can be completed through very mature modules in Python.

Automated testing.

Python occupies most of the day in automated testing, and there are rich third-party libraries to meet the needs of interface testing, unit testing, web automation and application automation, and performance testing. Almost all aspects of testing are covered;

Web crawlers. The first to use python as a web crawler is Google, python is very easy to get started with, the market share is relatively large, and now the company basically uses python to do crawlers;

Artificial intelligence. Let's not talk about the development potential and future of artificial intelligence, this is something that everyone knows, but at present, the work of artificial intelligence requires relatively high academic qualifications, but it is definitely the direction with the most development potential;

Automate O&M.

The first group of people who learned Python were incumbents in operation and maintenance and testing, because Python played a great role in their work, because using Python scripts for batch file deployment and operation adjustment has become a very good choice on Linux servers;

There are so many career directions for python, there is one that will suit you!

If you learn Python from scratch on your own, it will take about a year and a half depending on each person's comprehension abilityAs for whether you can learn well, it depends on your own understanding, and as for finding a job, it's hard to say.

Of course, if there are other programming languages.

It takes about 2 to 3 months to get started with some simple applications in the Python language.

Whether it is a novice or a friend with a certain foundation, it is very good to have an experienced person to learn by himself, especially for those with zero foundation, who can basically learn in 6 months.

Any knowledge is basic and the introduction is relatively fast, and it takes time to reach the mastery of the program, which is a gradual and intense process.

To be proficient in any programming language, you need to accumulate experience through a lot of practice, solve various difficult problems encountered, read other people's source code, and share your own sub-code process, so as to be proficient in all aspects of Python. From the very beginning of programming, we should continue to write, practice, modify, and summarize experience, so that practice makes perfect and refined.

Learning python first depends on what way you learn, python learning methods are nothing more than two kinds, one is self-study, the other is to study in a class, then if it is self-study, learn python from scratch, according to the different understanding ability of each person, it will take about half a year to a year and a half. If you have experience with other programming languages, it is still very fast to get started, and it will take about 2 to 3 months to write some simple applications in the Python language.

Half a year to a year and a half, if you have experience in other programming languages, it will take about 2 to 3 months.

The starting point of self-learning python, python has its own unique advantages in data analysis and processing, the Internet has been collecting user information in the past few years, and the next step is to analyze the data, python will be more popular in the future, through python programming to complete some data analysis work, according to the development trend of the Internet, the application of data analysis push will become the mainstream.

The rising trend of python language in recent years is very obvious, the language ecology is becoming more and more sound, and it is widely used in the fields of web development, big data development, artificial intelligence development, embedded development and various back-end development.

Python's employment directions are:

First, the direction of artificial intelligence: In 2017, Facebook Torch developed Pytoch for Python. The status of Python in the field of artificial intelligence has been improved again, and Python is a mainstream programming language in the direction of machine learning, deep learning, and neural networks in a wide range of artificial intelligence.

Second, big data analysis: the main languages in the direction of big data analysis are only python and r, and python is the main body, combined with scientific computing, machine learning and other technologies to clean the data, deduplicate, and finally make analysis.

Third, web crawlers: also known as web spiders, is the core method of obtaining data in the big data industry, although there are tools such as octopus on the market, to crawlers are still the main body, some people have said that if there is no web crawler automatic, day and night, highly intelligent crawling data on the Internet, those big data related companies may be less than three-quarters, which shows its importance.

Fourth: Web development: There are many Python-based web development frameworks, such as the widely used Django, Tornado, and Flask.

Among them, the python + django architecture has a wide range of applications, fast development speed, and low learning threshold, which can help us easily develop, build and manage complex web service programs! There are many more architectures to list here!

Fifth, cloud computing: There are also many cases of using Python in cloud computing, and it is becoming more and more common, such as the cloud computing solution OpenStack is developed based on Python!

Sixth, game development: many current games are written in C or C++, but Python is simple in function and smaller in size, which is very suitable for writing game logic, servers, etc., and Python supports more features and data types, which is an advantage that other languages do not have.

Seventh, scientific computing: With the development of many libraries such as numpy, scipy, matplotlib, and enthoughtlibrary, python is becoming more and more suitable for scientific computing, drawing high-quality visual graphs, and the most popular commercial software in the field of scientific computing, matlab, python is a general programming language, and the scripts used need to be used in a wider range of applications to support more libraries.

Eighth, automated operation and maintenance: The system management scripts written by python are better than ordinary shell scripts in terms of readability, performance, reusability, and scalability. It is the preferred programming language for operation and maintenance engineers, and Python is very mature in automating operation and maintenance, such as saltstack and ansible are important automation platforms.

It mainly depends on which one the individual is more interested in, in fact, which of the above directions is good to learn, and the salary is very high.

Generally, there are back-end web development, data engineering and data analysis directions. From the perspective of development prospects, data engineering and data analysis are better, but these two generally need to master pandas and numpy (two python frameworks). And many related positions have certain requirements for algorithms.

Big data analysis, robot learning, web development, in fact, are all good, this is not the direction of python, nor is it the direction of learning python in the future, I personally think it should be you + what to learn + the direction of the future.

At present, learning computer science is still very good and good employment, computer is divided into many majors such as graphic design, UI design, Internet marketing, e-sports, animation, are very good employment majors, choose your favorite major.

The review is as follows:

1. Data analysis.

Nowadays, no matter what industry it is, people who do data analysis seem to be inseparable from Python, because Python brings them a lot of work efficiency.

2. Automated testing.

Everything about automation, it seems that python can be satisfied, python can meet most automation work, improve work efficiency.

3. Artificial intelligence.

The next era is the era of artificial intelligence, many people are paying attention, and our python can also do artificial intelligence, which is a direction with the greatest potential.

Introduction to Python

Python was designed in the early 1990s by Guido van Rossum of the Dutch Society for Mathematical and Computer Science Research as an alternative to a language called ABC. Python provides efficient high-level data structures and simple and effective object-oriented programming. Python syntax and dynamic typing, as well as the nature of the interpreted language, make it a programming language for scripting and rapid application development on most platforms, and is gradually being used for independent, large-scale projects as versions are updated and new features are added.

If you choose to learn Python from scratch, the general learning cycle is about one and a half years. If you choose to train, the learning cycle of python is generally about five to six months, but there are certain differences in the training cycle depending on the type of learning and the different classes.

Notes:Any knowledge is basic and the introduction is relatively fast, and it takes time to reach the mastery of the program, which is a gradual and exciting process.

To be proficient in any programming language, Li Wuye needs to accumulate experience through a lot of practice, solve various difficult problems encountered, look at other people's source code, and share his own subcode in order to be proficient in all aspects of python. From the very beginning of programming, you should continue to write, practice, modify, and summarize experience, and finally practice makes perfect and achieve mastery.

If you consider self-study, this time is not easy to say, the learning environment, daily learning time, Yunxian mentality, curriculum system, and many other factors will affect the learning effect and lengthen the learning time.

With the rapid development of Python in recent years, the application scope has gradually become wider, including back-end development, front-end development, crawlers, financial quantitative analysis, artificial intelligence, automated operation and maintenance, automated operation and maintenance, and big data. Compared with other programming languages, Python has a simple syntax, even if we don't have any programming foundation, we can learn and master Python programming development, which is the darling of the new era! As a result, more and more people are participating in python engineer training institutions.

Prepare to cultivate acres. Python has a lot of features that appeal to programmers, it's easy to learn, object-oriented, bytecode compilation, free and open source. There is also runtime checking, complete and fast support, and the ability to perform various simitative tasks with extensions. You can be very productive when using Python.

Python has rich and powerful libraries. Often referred to as the language of glue, it makes it easy to tie together various modules made in other languages, especially c. A common use case is to use Python to quickly prototype a program:

For example, the graphics rendering module in a 3D game has particularly high performance requirements, which can be rewritten with c c and then encapsulated into an extended library that can be called by python. It is important to note that you may need to consider the platform when using extension libraries, and some may not provide cross-platform implementations.