foreword
I want to learn Python, but what can I do after learning Python? "
"Learning Python now, which direction is the easiest? Which direction is the most popular?"
“ …… ”
I believe that many Python beginners will encounter the above problems. Everyone knows that Python is very popular, with high salaries and wide employment opportunities, but specifically, which directions are there and which are most suitable for you may not have a specific understanding.
Today, we have sorted out the 7 major employment directions of Python, and hope that everyone can find the one that suits them, and then continue to learn to complete their life goals.
1. Web development (Python backend)
Python has many excellent web development frameworks, such as Flask, Django, Bootstar, etc., which can help you quickly build a website. When a new feature is needed, it only needs to add a few lines of code in Python, which has been unanimously welcomed by many start-up companies.
For big companies like Zhihu, Douban, and Xiaomi, the earliest websites were all built with Python, and there are more in foreign countries, such as: YouTube, Quora, Reddit, Instagram, Netflix, etc., which represent the top traffic on the planet, are all built in Python. on top of Python.
Skill requirements: front-end basics, Python basics, mainstream Python web frameworks (Flask, Django, etc.), databases, etc.
Salary: Average 20-30 K (taken from Lagou.com - Beijing, the same below)
2. Python crawler engineer
As the name suggests, it is to use Python to collect and crawl Internet information, and it is also the first driving force for friends to enter Python. The work that can only be completed by manpower in a week, you can make coffee and run the crawler for 10 minutes, and it is installed with X and practical. After learning Python crawler, even if you don’t work as a programmer, you can get a lot of points.
Salary: Average 20-30K
Skill requirements: front-end basics, Python crawler library, database, JS anti-crawler, etc.
Friendly reminder: pay attention to legal risks
3. Python Data Analyst
In this era, data is as precious as gold. The most popular companies such as Toutiao, Douyin, and Kuaishou are all based on user analysis, not to mention Taobao, JD.com, and Pinduoduo. " Veteran.
It can be said that all commercial companies need such a role, and Python data analysts have become one of the hottest professions.
Python is currently the most commonly used language in the data analysis business. After learning Python, you can basically meet the recruitment needs of data analysis managers.
Salary: 30-50K
Skills required: basic statistics, Python data analysis libraries (Pandas, NumPy, matplolib), databases, machine learning frameworks (required for high-end positions)
4. AI Engineer
Artificial intelligence is one of the hottest directions at present, and the salary is very high (synonymous with local tyrants). It can be seen from the recruitment website that there are many 80K and 100K positions. The editor shed tears without technology. Of course, the requirements of these positions are relatively high.
Python is the leading language in the era of artificial intelligence. Whether it is Machine Learning (Machine Learning) or Deep Learning (Deep Learning), the most commonly used tools and frameworks need to be called in Python, such as: Numpy, scipy, pandas, matplotlib, PyTorch, TensorFlow etc., so Python is one of the necessary skills for artificial intelligence engineers.
Salary: 30-50K
Required Skills: Fundamentals of Statistics, Python, Data Analysis Libraries, Machine Learning, Deep Learning Frameworks
5. Automation operation and maintenance engineer
Operation and maintenance engineers often have to monitor the operation of hundreds of machines or deploy them at the same time. Using Python can automate batch management of servers, achieving the effect of 1 person equaling 10 people.
Automated operation and maintenance is also one of the main application directions of Python. It has powerful functions in system management and document management.
Salary: 20-30K
Required skills: Python, shell, Linux, database, openpyxl library, etc.
6. Automation test engineer
The work of testing is boring and repetitive. In the past, every time a product was updated, the test had to be repeated, which was inefficient and error-prone.
Python provides many automated testing frameworks, such as Selenium, Pytest, etc., which avoid a lot of repetitive work, and Python automated testing is becoming more and more popular.
Salary: 10 - 20K
Required skills: Python, automated testing frameworks, Linux, etc.
7. Python game development
The recruitment of Python game development is concentrated in the field of game servers, and is mainly responsible for server function development and performance optimization of online games.
Salary: 15 - 25K
Required skills: Python, Python web frameworks, Linux, databases, Nginx, etc.
Finally, I would like to thank everyone who has read my article carefully. Reciprocity is always necessary. Although it is not a very valuable thing, you can take it away if you need it:
1. Introduction to Python
The following content is the basic knowledge necessary for all application directions of Python. If you want to do crawlers, data analysis or artificial intelligence, you must learn them first. Anything tall is built on primitive foundations. With a solid foundation, the road ahead will be more stable.All materials are free at the end of the article！！！
Include:
Computer Basics
python basics
Python introductory video 600 episodes:
Watching the zero-based learning video is the fastest and most effective way to learn. Following the teacher's ideas in the video, it is still very easy to get started from the basics to the in-depth.
2. Python crawler
As a popular direction, reptiles are a good choice whether it is a part-time job or as an auxiliary skill to improve work efficiency.
Relevant content can be collected through crawler technology, analyzed and deleted to get the information we really need.
This information collection, analysis and integration work can be applied in a wide range of fields. Whether it is life services, travel, financial investment, product market demand of various manufacturing industries, etc., crawler technology can be used to obtain more accurate and effective information. use.
Python crawler video material
3. Data analysis
According to the report "Digital Transformation of China's Economy: Talents and Employment" released by the School of Economics and Management of Tsinghua University, the gap in data analysis talents is expected to reach 2.3 million in 2025.
With such a big talent gap, data analysis is like a vast blue ocean! A starting salary of 10K is really commonplace.
4. Database and ETL data warehouse
Enterprises need to regularly transfer cold data from the business database and store it in a warehouse dedicated to storing historical data. Each department can provide unified data services based on its own business characteristics. This warehouse is a data warehouse.
The traditional data warehouse integration processing architecture is ETL, using the capabilities of the ETL platform, E = extract data from the source database, L = clean the data (data that does not conform to the rules), transform (different dimension and different granularity of the table according to business needs) calculation of different business rules), T = load the processed tables to the data warehouse incrementally, in full, and at different times.
5. Machine Learning
Machine learning is to learn part of the computer data, and then predict and judge other data.
At its core, machine learning is "using algorithms to parse data, learn from it, and then make decisions or predictions about new data." That is to say, a computer uses the obtained data to obtain a certain model, and then uses this model to make predictions. This process is somewhat similar to the human learning process. For example, people can predict new problems after obtaining certain experience.
Machine Learning Materials:
6. Advanced Python
From basic grammatical content, to a lot of in-depth advanced knowledge points, to understand programming language design, after learning here, you basically understand all the knowledge points from python entry to advanced.
At this point, you can basically meet the employment requirements of the company. If you still don’t know where to find interview materials and resume templates, I have also compiled a copy for you. It can really be said to be a systematic learning route for nanny and .
But learning programming is not achieved overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can review some technical points myself. Whether you are a novice in programming or an experienced programmer who needs to be advanced, I believe that everyone can gain something from it.
It can be achieved overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can review some technical points myself. Whether you are a novice in programming or an experienced programmer who needs to be advanced, I believe that everyone can gain something from it.
Data collection
This full version of the full set of Python learning materials has been uploaded to the official CSDN. If you need it, you can click the CSDN official certification WeChat card below to get it for free ↓↓↓ [Guaranteed 100% free]
Good article recommendation
Understand the prospect of python: https://blog.csdn.net/SpringJavaMyBatis/article/details/127194835
Learn about python's part-time sideline: https://blog.csdn.net/SpringJavaMyBatis/article/details/127196603