What do you need to learn about Python on your own for the purpose of employment?

What you can do when you learn python:

1. You can be engaged in data analysis, no matter what industry it is, people who do data analysis seem to be inseparable from Python, because Python can help them improve their work efficiency, and they will use Python for scientific and numerical computing in the fields of bioinformatics, physics, architecture, geographic information system, image visualization analysis, and life science.

2. You can be engaged in network programming, python can be very convenient to complete the work of network programming, provides many solutions and modules, and can be very convenient to customize your own server software.

3. Can work in web development, Django is a popular web development framework, written in the elegant Python language. The main goal of using MVC's software design pattern is to make it easy to develop complex, database-driven**.

4. You can engage in work related to many **, and can process images, sounds, animations, etc., so as to add a bright brilliance to your program. The generation of dynamic charts and statistical analysis charts can be done by Python.

5. You can be engaged in game programming, and python is an auxiliary tool for game programming in the early days. played an important role in Star Wars. At present, it is possible to write very good game programs with Python.

Python is for the right people.

1. Programming novices: Students who have just graduated from college or transfer personnel who want to engage in programming development, python is simple and easy to learn, which is very suitable for novices to get started.

2. Linux system operation and maintenance personnel: Linux operation and maintenance personnel are known for their complexity, and the ability of personnel to master knowledge of the system is very high, so a programming language is needed to solve the problem of automation, Python development and operation and maintenance work is the first choice, and the salary of Python operation and maintenance salary is generally higher than that of Linux operation and maintenance personnel.

What do you need to learn about python?

Python Basics: Python Language Basics, Functions, File Operations, Object-Oriented, Exception Handling, Modules and Packages, Linux System Usage, MySQL Database, etc.

Full-stack development: Web programming basics, Flask framework, Django framework, Tornado framework, Elasticsearch full-text search engine, etc.

Web crawler: data crawling, scrapy framework, distributed crawler framework, etc.;

Artificial intelligence: data analysis, machine learning, deep learning, etc.;

These are basically the areas where there are many python applications. If you are interested in these learning directions, please welcome **612834526 and communicate and learn together. If you have any learning questions, you can also ask them in the group, and there are professional bosses who can help answer them.

Hello, glad to answer for you. The extent to which python is learned is a bottomless pit, some people can learn to contribute to the python public community, and some people, as long as they can use python to complete their projects and complete the needs of their specific business scenarios. In fact, it still depends on what the ultimate purpose of your python learning is, contributing to python, which requires many years of accumulation and very in-depth research, and most people do not have this energy.

I hope the above is helpful to you If you are satisfied with me, please give a thumbs up [Koi] question. The child is now 13 years old, and he often wins awards, and he studies very well, and he is second in the whole grade.

Hello, if the child is only 13 years old now, he can reach the second place in the whole grade, and his academic performance is already very good.

Questions. The main thing is that he himself likes python

Hello, if the child likes pytho, there is no need to interfere with him, he will definitely spend time and energy on it if he likes it, and it will definitely be very promising in the future.

Questions. He often won the first prize, second prize and third prize in the Blue Bridge Cup.

Uh-huh, that's already good, there's no need to put any extra pressure on him to ask questions. This time, I deliberately said that I would not study after the fee was over, and he said that he would continue to pay it and he would still study.

Well, let the child learn if he wants to, python is very promising.

Questions. I asked my child if he could go to a prestigious school if he could study this, and if he had any points to take care of when he was admitted to a prestigious university.

Usually he has almost perfect scores in math and English.

Hello, if you learn python well, you will have a care score, and each institution has different regulations.

There are many directions for python to do employment, first of all, you must learn the basics well, to object-oriented, but this alone is definitely not enough for employment, so you must study some specific projects in depth to find a job, whether it is development or data analysis, you must have at least two practical projects to be enough, I hope it can help you.

After learning Python, there are many uses, such as web development, web crawling, data analysis, server operation and maintenance, Python automated testing, etc., and there are many employment directions, and the employment prospects are also very good.

1. Web development, our current life is inseparable from the network, inseparable from the web front-end, after learning python, you can use the python framework to do **, and they are some side keys exquisite front-end interface. After learning Python, you can do web development, because there are relatively few people learning Python in China now, and there are very many people recruiting Python, so the employment prospects in this direction are very good.

2. Artificial intelligence is a very hot field now, which makes the future of the Python language full of infinite possibilities, Python is dynamic enough and has enough performance, which is the technical characteristics required by AI technology. Artificial intelligence is also a hot field right now, and the job prospects are very impressive.

3. After learning Python, you can do data analysis, Python has a complete ecological environment, which is very conducive to data analysis and processing, for example, distributed computing, data visualization, database operation, etc. required for "big data" analysis can be completed through very mature modules in Python.

1. Simplicity: Python is a language that represents the idea of simplicity. Reading a good python program feels like reading English. It allows you to focus on solving problems rather than figuring out the language itself.

2. Easy to learn: Python is extremely easy to use, because Python has extremely simple and clever documentation.

3. Free and open source: Python is one of the free and open source software (free and open source software). Users are free to distribute a copy of the software, read its sources, make changes to it, and use parts of it in new free software.

4. Fast speed: The bottom layer of Python is written in C language, and many standard libraries and third-party libraries are also written in C, which runs very fast.

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.

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.