First of all, let’s take a look at the working directions of python:
1. Artificial Intelligence
As the golden language of artificial intelligence, Python should choose artificial intelligence It is a natural choice as an employment direction, and the employment prospects are good, and the salary is generally high. On Lagou.com, the starting salary for artificial intelligence engineers is generally 20K-35K. Of course, if you are a junior engineer, the starting salary has already exceeded 12,500 yuan/ moon.
2. Big Data
We are currently in the era of big data. The language Python is more efficient than Java in big data. Although big data is difficult to learn, Python can better connect with big data. Use The salary for doing big data in Python is at least 20K or more. Big data continues to be popular. In the future, the salary for working as a big data engineer will gradually increase.
3. Web Crawler Engineer
As a sharp 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 that you have no data. The salary of a crawler engineer starts at 20K. Of course, because of big data, the salary will also rise all the way.
4. Python web full-stack engineer
A full-stack engineer refers to a person who masters a variety of skills and can use a variety of skills to independently complete products. Also called full-end engineer (having both front-end and back-end capabilities), English Full Stack developer. Full-stack engineers are the best among talents no matter which language they work in, and the salary of Python web full-stack engineer is basically 20K higher, so if you are capable enough, the first choice is Python web full-stack engineer.
5. Python Automated Operation and Maintenance
Operation and maintenance workers have a great demand for Python. Friends, please act quickly. Learning Python for automated operation and maintenance can also earn a salary of 10k-15k, which is very good.
6. 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 their skills. Test efficiency. Testing with Python can also be said to be a must-have tool for testers. The starting salary for Python automated testing is generally around 15K, so test partners also need to learn Python!
Which direction to choose depends on your own interests. There are many jobs in each direction. If you choose one and work hard, you will be rewarded.
The above is the detailed content of In which direction is it easier to find a job in Python?. For more information, please follow other related articles on the PHP Chinese website!
Python vs. C : Understanding the Key DifferencesApr 21, 2025 am 12:18 AMPython and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.
Python vs. C : Which Language to Choose for Your Project?Apr 21, 2025 am 12:17 AMChoosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.
Reaching Your Python Goals: The Power of 2 Hours DailyApr 20, 2025 am 12:21 AMBy investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.
Maximizing 2 Hours: Effective Python Learning StrategiesApr 20, 2025 am 12:20 AMMethods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.
Choosing Between Python and C : The Right Language for YouApr 20, 2025 am 12:20 AMPython is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.
Python vs. C : A Comparative Analysis of Programming LanguagesApr 20, 2025 am 12:14 AMPython is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.
2 Hours a Day: The Potential of Python LearningApr 20, 2025 am 12:14 AMIt is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.
Python vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AMPython is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!
Hot Article
Hot Tools
SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.
WebStorm Mac version
Useful JavaScript development tools
Atom editor mac version download
The most popular open source editor
EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function
DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software
