What are the Python development jobs? Python jobs are divided into: Python backend, data analysis, data mining, machine learning, crawlers, etc. There are many back-end jobs, 50% of Python jobs are 10 times that of crawler engineers; next is data analysis jobs, second only to Python back-end development; data mining and machine learning account for about 17%, while AI jobs are not saturated.
Python develops salary ranges and job responsibilities for different job positions:
1. Python back-end development post salary and responsibilities
1. Python backend salary
The average salary of Python back-end development in Beijing is more than 21k, and the salary of second-tier cities is 11k+.
2. Python development engineer job requirements
(1) Proficient in Python programming language, with experience in using frameworks such as Django, no internship requirements.
(2) Familiar with HTML/Java/CSS front-end framework development such as React.js, familiar with page architecture and layout, familiar with MSYQL, Redis, etc., with database application and design capabilities, proficient in Django/Flask and other web back-end development frameworks, proficient Master network communication protocol and multi-thread, multi-process concurrency technology;
(3) Understand architecture design, implementation principles and security protection reinforcement, master high-concurrency web sites, cache acceleration technology, and have 1-2 complete project experience.
2. Python data analysis and mining salary range and job responsibilities
Python data analysis and mining related positions accounted for 40% of the total demand. Positions that have risen rapidly due to the data needs of various industries and enterprises. Python's complete ecological environment is very conducive to data analysis and processing. For example, the distributed computing, data visualization, and database operations required for big data analysis can all be completed through the very mature modules in Python.
1. Python data analysis mining salary
The average salary of Python data mining in Beijing is more than 29K, and the job demand is nearly 4,000. Under the background of the rapid development of big data in recent years, if you have the ability to do data analysis and mining related work, then it can become incompetent in this era. Replaced "Golden Collar Engineer".
2. Python data analysis and mining job requirements:
Familiar with mainstream data mining modeling algorithms, such as data analysis, classification forecasting, user portraits, etc.; master the solidification and deployment of data analysis models, and perform data analysis, data modeling, mining, and cleaning, including data interaction, Feature extraction, data mining, analysis reports, etc.; skilled use of pandas, numpy, matplotlib and other tools to analyze data, visualize data, and explain data distribution.
3. Scope and job responsibilities of machine learning engineers
In the field of cutting-edge technology, the world’s top 100 companies are recruiting a large number of talents related to artificial intelligence, quantitative trading, and machine learning. They require high learning and mathematics abilities. The annual salary starts from 30w+. For programmers who are new to Python, It is suitable for future development research.
Needless to say the direction of artificial intelligence, artificial intelligence is our national strategy in the future. Salaries generally exceed 16K, and some can enter large enterprises. The future development space is very broad.
1. Requirements for machine learning positions:
Machine learning requires a lot of ability, and requires a solid programming foundation, mathematical foundation, algorithm ability, and deep learning framework ability.
2. Machine learning machine learning salary:
The salary of machine learning engineers in Beijing now exceeds 31K, and it has been rising continuously. Companies that recruit related positions are also super unicorns.
It only takes a few lines of code to build a website with Python, which is very concise. After learning Python, there are also Python operation and maintenance engineers, automation test engineers, game development engineers, etc. In the learning process, choose the appropriate employment direction according to your own ability, interest, and employment situation in different regions.
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