What are the career directions of Python? Is it suitable for beginners to study?

There are still a lot of rooms in this room, there is application management, there are extra non-crooked faces, suitable for Xiaobai to learn, there is operation and management, because this is still very cheap to learn overall.

The crawler employment direction is actually more extensive is programming, in fact, it is self-taught with you, generally speaking, this is actually relatively simple, you can learn it first.

Hello, according to this question, I think there are many employment directions, such as computer science and the like, which is very suitable for beginners to learn.

There are many employment directions in this way, and those who are now employed in computer science are very wide, and they can also choose to go to some enterprises to specialize in computer science, which is still more suitable.

Python has a wide range of applications, which makes the employment direction of Python relatively speaking, first of all, the web direction, because one of the stages of python learning is python full-stack development, mainly to learn back-end framework + project practice, through this stage of learning, students can not only master the use of js in the front-end of the network, but also be able to use js as a common language, laying a solid foundation for students to engage in full-stack work in the future. In the future, it is completely okay for students to choose to become a web full-stack development engineer.

After learning python, you can also choose the direction of artificial intelligence, all kinds of algorithms of artificial intelligence are based on python, to put it bluntly, if you want to learn artificial intelligence but don't understand python, it is equivalent to wanting to learn English without knowing words, so take advantage of the current trend of AI, you guys seize the time to learn python.

Another direction of learning python is the direction of data analysis, mastering the relevant concepts involved in data analysis, understanding how to obtain data and feature engineering, and being familiar with the use of related modules, which will be mastered in python learning, and now the salary of data analysis engineers is particularly good.

After mastering python, you can also choose the direction of web crawler, one of the modules in python learning is about web crawler learning, including crawler working principle and design ideas, anti-crawler mechanism, distributed crawler framework, etc., in the future, you can be engaged in web crawler engineer or data collection engineer.

Python development (crawler development, web development, O&M development).

Data mining (data analysis, good at math).

Artificial intelligence (good in mathematics, good in education).

python don't study in second-tier cities, it's not easy to get a job, Mr. Zhonggong recommended me to study in Beijing, and now I am developing well in first-tier cities.

Development prospect 1: Linux O&M.

Development prospect 4: data analysis.

Development prospect 5: artificial intelligence.

In fact, there are quite a lot of employment directions, mainly because of my own experience, and I don't have to worry about finding a job anywhere.

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.

Python crawler is a direction we are more familiar with Python, python crawler takes all data on the network as a resource, and conducts targeted data collection and processing through automated programs. There are many things that python crawlers can do, such as search engines, collecting data, advertising filtering, etc., python crawlers can also be used for data analysis, which can play a huge role in data scraping! Partners who are engaged in python crawler engineers need to be proficient in using python language and familiar with common crawler frameworks such as scrapy; Proficient in using Selenium, LXML, BS4 to crawl, parse and clean XML and HTML texts; Experience in handling the effectiveness of cookies in the management of **.

Python Artificial Intelligence At present, the basic programming language of domestic artificial intelligence is Python, and some time ago, the robot defeated the Go master. The era of artificial intelligence has arrived, at present, many companies are recruiting a large number of artificial intelligence, quantitative trading, machine learning related talents, the relevant talents are required to have high learning ability and mathematical ability, higher annual salary, for people who are new to python, python artificial intelligence is very suitable as the future development direction research.

Data processing. In the era of the rapid Internet, data can explain a lot of things, and now many people do data analysis is not as simple as it used to be, Python language has become the first choice for data analysts, and many graph libraries integrated by python programming language can directly talk about data and display it in the form of data distribution diagrams. Not only in data statistics and processing, but also in the laboratory of many universities to extract a large amount of experimental data also need to be sorted out and summarized, python can also play a very big role.

It can bring a lot of efficiency to the work. Those who want to develop in data analysis need to be familiar with mainstream data mining modeling algorithms, such as data analysis, classification, user portraits, etc.; Master the solidification and deployment of data analysis models, and can carry out data analysis, data modeling, mining, and cleaning, including data interaction, feature extraction, data mining, analysis reports, etc.

Employment direction 1: Linux O&M Linux

O&M is necessary and must master the Python language, Python is a very NB programming language, it can meet the work needs of Linux O&M engineers to improve efficiency, and improve their own capabilities.

We all know that the web has always been a non-negligible existence, we can't do without the network, we can't do without the web, we can do it with the python framework, and they are some beautiful front-end interfaces, and we need to master some data applications.

Employment direction 3: Python automated testing

As we all know, the python language is very helpful for testing, the python language is very widely used in automated testing, it can be said that python is too powerful, master and be familiar with the automation process, methods and the various templates we always use, so far, the python I know the most used should be automated testing.

Employment direction 4: data analysis

We all know that now is the era of big data, data can explain the cause of all problems, now many data analysis is not as simple as it used to be, Python language has become the first choice to be a data analyst, it can also bring great efficiency to the work.

Employment direction 5: artificial intelligence

We all know that the robot made by Google defeated a Go master, this is the artificial intelligence that is just emerging, of course, our era of artificial intelligence has not yet arrived, if this day comes, life and the world will change dramatically, and now the development is so fast, the era of artificial intelligence will not be too far away.

Regarding the content of learning python and employment directions, Qingteng will share it with you here. If you have a keen interest in Python programming, hopefully this article can help you. If you want to know more about python programming skills and materials, you can click on other articles on this site to learn.

Python is a scripting language with a simple language that can refer to C's libraries, which is suitable for writing scripts and program adhesives.

It has easy-to-use packages in many industries, and the more commonly used ones are:

Web backend (Django, Flask, Torndao, etc.), scientific computing (Numpy, Scipy, Mattplotlib), machine learning (scikit-learn).

Neural network (tensorflow).

Supervisor

Pillow

Scrapy

1. Back-end development.

The main thing is to do some data calculation and storage, for example, everyone is reading my article now, you can give the article a like, then when you click, our backend will receive such a signal that you clicked, it will add one to our number of likes, and then, save it to the database, so that when its Qiaoji other users click on my article again, you will see the change in the number of likes.

2. Crawlers. The role of learning crawlers is mainly to obtain data from the Internet, such as the Tianyan check and enterprise check that we commonly use, they mainly use crawling. In order to achieve this, a large amount of enterprise data is obtained from the Internet, and then displayed on a page to users.

3. Automated operation and maintenance.

Like we play games, browse**, they are all running on the server, some large** may have thousands of servers behind it, that server you can understand as a computer, then it will also have crashes, Caton, power on and off and so on. So how can you maintain the state of thousands of servers at the same time? We can just write some python scripts to do the job.

4. Automatic bucket desolation test.

The main job of the test is to test the performance of the game, to test the special functions of the software, or to simulate a large number of clicks from users, such as whether we can grab orders during Double 11. Therefore, using python for test development can quickly and automatically simulate user clicks and actions.

5. Game development.

This direction is also more profitable, and there are often programmers who use python to write some game engines, which is a very professional field.

6. Artificial intelligence.

Technology is also in the embryonic stage of learning, and there is less understanding of artificial intelligence.

7. Data analysis.

Its main job is to find the important influencing factors in a large amount of data, so for example, if you are given 100,000 pieces of 1,000,000 pieces of data, there may be 100 or 1,000 influencing factors, which one is the most important? At this time, you can use ** to make a corresponding quick analysis.