Article directory
Preface
Is it easy to find a job in Python in 2023? What is the average salary?
With the development of big data and artificial intelligence, Python language has been widely used. The current upward trend of Python language is still relatively obvious. Python language also ranks among the best in many language rankings, so the employment prospects of learning Python language are still Not bad.
There are many jobs you can pursue after learning python:
1. Artificial Intelligence
Python is the golden language of artificial intelligence. It is natural to choose artificial intelligence as a career direction, and the employment prospects are good and the salary is generally high.
According to statistics from major recruitment websites, the average recruitment salary for artificial intelligence engineers is ￥11.3K, among which the salary of the most people is 30-50K, accounting for 23.8%.
2. Big data
We are currently in the era of big data. The python language is more efficient than Java in big data. Although big data is difficult to learn, python can better connect with big data.
The average salary for using Python to do big data is currently ￥11.3K, with the largest number of people earning 30-50K, accounting for 31.3%.
3. Reptiles
As a powerful tool for data collection, web crawlers are very useful as the source of data in the era of big data. Using python can quickly improve the accuracy and speed of data capture, which is a blessing for data analysts. Through web crawlers, BOSS no longer has to worry about you having no data.
The average salary of a crawler engineer is 15.8k, of which 10-15k accounts for the majority, reaching 44.4%.
4. Python automated operation and maintenance
There is a great demand for Python among operation and maintenance workers. Friends, please act quickly!
Learning python automated operation and maintenance can also earn a salary of 10k-15k, which is very good~
5. python automated testing
Python is a very efficient language. As long as it is related to automation, it can play a huge advantage. Currently, most workers doing automated testing need to learn Python to help improve testing efficiency. Testing with python can also be said to be an essential tool for testers.
The salary for Python automated testing is generally 15-20K, accounting for 43%.
The above is the current industry direction and employment industry analysis that you can work in after learning Python. I hope it can help everyone.
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 first learn them. Anything high-end is built on a primitive foundation. By laying a good foundation, the road ahead will be more stable.All information is available for free at the end of the article！！！
Include:
Computer Basics
python basics
Python introductory video episode 600:
Watch zero-based learning videos. Watching videos is the fastest and most effective way to learn. It is easy to get started by following the teacher's ideas in the video, from basic to in-depth.
2. Python crawler
As a popular direction, crawlers are a good choice whether you use them part-time or as an auxiliary skill to improve work efficiency.
Through crawler technology, relevant content can be collected, analyzed and selected to get the information we really need.
This information collection, analysis and integration work can be applied to a very wide range of areas. 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 information
3. Data analysis
The "Digital Transformation of China's Economy: Talent and Employment" report released by Tsinghua University School of Economics and Management shows that the data analysis talent gap is expected to reach 2.3 million in 2025.
With such a huge talent gap, data analysis is like a vast blue ocean! 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 integrated 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 comply with the rules) and transform the table (perform different dimensions and granularity on the table according to business needs) degree, different business rules calculation and statistics), T=load the processed table to the data warehouse in increments, full quantities, and different times.
5. Machine Learning
Machine learning is to learn from a part of the computer data, and then predict and judge other data.
The core of machine learning is "using algorithms to parse data, learn from it, and then make decisions or predictions about new data." That is to say, the computer uses the data obtained to derive a certain model, and then uses this model to make predictions. This process is somewhat similar to the human learning process. For example, after a person acquires certain experience, he or she can predict new problems.
Machine learning materials:
6. Advanced Python
From basic syntax content to many in-depth advanced knowledge points and understanding of programming language design, after studying here, you will basically understand all the knowledge points from entry to advanced python.
At this point, you can basically meet the company's employment requirements. If you still don't know where to find interview materials and resume templates, I have compiled one here for you. It can really be said to be a systematic learning route for nannies and caregivers. .
But learning programming does not happen overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can also review some technical points myself. Whether you are a newbie in programming or an experienced programmer who needs to advance, I believe everyone can gain something from it.
It doesn’t happen overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can also review some technical points myself. Whether you are a newbie in programming or an experienced programmer who needs to advance, I believe everyone can gain something from it.
Data collection
This complete version of Python learning materials has been uploaded to CSDN official. If you need it, you can click on the CSDN official certification WeChat card below to get it for free ↓↓↓ [Guaranteed 100% free]
