In terms of salary level, the current salary in fields such as artificial intelligence, big data, and cloud computing is relatively high, but the requirements are also high, such as education, learning ability and so on. Then there is back-end development , and the salaries of programming languages ​​such as Python, Java, and C++ are generally higher.

Advantages of not using a development language

​Java: Java is a widely used programming language, often used in web applications, mobile applications, big data applications, and enterprise application development. The salaries of Java development engineers are relatively high, and the market demand is relatively stable.

Python: Python is an easy-to-learn and easy-to-use programming language, often used in scientific computing, data analysis, artificial intelligence, Web development and other fields. The salary of Python development engineers is also relatively high, and the market demand is also growing.

JavaScript: JavaScript is a front-end development language used to develop web applications and mobile applications.

The demand for JavaScript development engineers is very high, and the opportunities and salaries in the market are also very good.

C++: C++ is an object-oriented programming language, often used in game development, embedded systems, graphics and image processing and other fields. The salary level of C++ development engineers is relatively high, but learning and application are also relatively difficult.

Swift: Swift is a programming language for iOS application development, the market demand is relatively high, and the salary is also good.

It should be noted that the choice of programming language is not the only determining factor. Personal ability, experience, project experience, etc. will all affect the salary level. Therefore, many factors should be considered when choosing a programming language, not just salary.

Difficult languages, like Python and JavaScript, are relatively easy to learn, while some languages, like C++, require a deeper understanding of computer science concepts.

Considering the above factors, I think choosing to learn Java or Python can be a good choice. Java is a popular programming language widely used in enterprise applications and cloud computing, and the salary level of Java developers is relatively high. Python is a programming language that is easy to learn and use. It is currently widely used in artificial intelligence, big data and other fields. The salary level of Python developers is relatively high. ​The other thing

is that it suits you . No matter how good the language is, it’s useless if it doesn’t suit you. Now that you can grab a handful of online materials, you can give yourself a chance of trial and error if you spend a little time. Anyway, the above are all words from the heart.

Introduction to Java:

 Java SE Basics-Only by laying a good JavaSE foundation can you become a development masterJava
Basics: Java Basic Video Tutorials, Java Zero-Basic Self-study Choose Dark Horse Programmers Java Basics Tutorial (including Java projects and Java real questions)

Java Web-Can make small and medium-sized websites& Enterprise management system
Javaweb: new version of JavaWeb basic tutorial, full version of Java web from entry to enterprise actual combat

Python introductory information:

Zero-based essentials: a full set of Python tutorials_Python basics video tutorials, zero-based self-study Python tutorials

Python multi-threaded dark horse programmer python multi- threaded

programming 】Favorites = like ten times
Python actual combat Djongo project: python enterprise-level development project - develop "Meiduo Mall" from 0 to 1 hand in hand
mysql database: MySQL full set of tutorials, MySQL from basics to dark horse order case actual combat
Machine learning algorithm: 3 days Quick Start Python Machine Learning
Clustering Algorithms: 360° Interpretation of Classical Machine Learning Algorithms—Clustering Algorithms
Data Mining: Python Tutorial, 4-Day Quick Start Python Data Mining, System Intensive Lectures + Practical Cases
Web Server: Python Advanced Grammar Advanced Tutorial _Python multitasking and network programming, a complete set of tutorials for building a website from scratch in
180 minutes Introduction to crawlers: 180 minutes to easily obtain epidemic data, Python crawler introduction course
Scrapy framework: Python crawler basics, quick introduction to Scrapy crawler framework
Multithreading: python multithreaded programming