A summary of the knowledge points that Python R&D engineers need to master, I want to share with you

Hello everyone, today I will share with you the requirements for working as a R&D engineer in a large factory. In the Internet industry, R&D engineers are very important positions. They need to constantly learn new knowledge and master new skills to ensure the sustainable development of the company's business. In this article, I will describe the skills that a R&D engineer needs to master from multiple aspects.

First of all, as a research and development engineer, you need to master data structures and algorithms, which are the basic knowledge that must be mastered. Whether you are doing Java development or using other languages ​​such as Python and C++, data structures and algorithms must be mastered. Because they are the foundation of programming, many algorithms are supported by data structures.

Secondly, you need to have experience in programming in a Linux environment, because if you develop in a big factory, you probably won't develop in Windows. Therefore, it is very important to be familiar with the Linux system and command line operations. You need to know how to compile and run code on a Linux system, how to view logs and debug code, etc.

Third, you must be familiar with a scripting language, such as Python. Scripting languages ​​can help you write and debug code more conveniently. At the same time, they can also be used for automated testing and other aspects.

Fourth, you need to be familiar with network programming and multithreading. Network programming refers to programming in a network environment, including Socket programming, HTTP protocol, etc. Multithreading refers to performing multiple tasks in the same program at the same time to improve the efficiency of the program. This is about two courses, one on networking and one on concurrent programming.

Fifth, you need to be familiar with databases, such as MySQL and Oracle. The database is an essential part of large-scale applications, you need to know how to design and optimize the database, how to perform data backup and recovery, how to perform data migration, etc.

Sixth, you need to master at least one programming language, such as Java, C++, etc. However, different companies have different requirements for programming languages, so it is necessary to master different programming languages. For example, Ali's recruitment requires proficiency in Java and Python, while Tencent's recruitment is more inclined to C++.

Seventh, you need to have participated in mathematics competitions and other competitions, such as ACM, NOI, etc. These competitions can help you exercise your programming skills and problem-solving skills, and can also improve your competitiveness in interviews.

Eighth, you need to have participated in the construction and development of student websites, which is a way of accumulating project experience. You can participate in some open source projects, or develop some small projects yourself, which can help you improve your programming skills and project management skills.

In short, as a research and development engineer, you need to master the knowledge and skills of data structure, operating system, computer network, concurrent programming, database programming, programming language, competition experience, project experience, etc. If you master these, it will definitely not be a problem to enter a big factory. As a research and development engineer, I think there are still great prospects for development. In addition to the above skills, you also need to have good communication skills, teamwork skills, learning skills and innovation skills, etc. These are very important qualities. Hope this article can help you.

As a Python R&D engineer, the following are the knowledge points that need to be mastered:

1. Data structure and algorithm

Data structures and algorithms are the basic knowledge that R&D engineers must master. Whether you use Python or other programming languages, data structures and algorithms must be mastered. Because they are the foundation of programming, many algorithms are supported by data structures. In Python, commonly used data structures are lists, tuples, dictionaries, sets, etc. In terms of algorithms, R&D engineers need to master common sorting algorithms, search algorithms, dynamic programming, etc.

2. Programming in Linux environment

Python development in large factories usually uses a Linux environment. Therefore, R&D engineers need to be familiar with the Linux system and command line operations, how to compile and run code in the Linux system, how to view logs and debug code, etc.

3. Scripting languagePython

The Python language is one of the programming languages ​​that R&D engineers must master. Python is easy to learn and highly readable code, and is widely used in web development, data science, machine learning and other fields. R&D engineers need to be familiar with the basic knowledge of Python syntax, data types, functions, modules, etc., and also need to understand the advanced features of Python, such as generators, decorators, metaclasses, etc.

4. Network programming and multithreading

Network programming refers to programming in a network environment, including Socket programming, HTTP protocol, etc. Multithreading refers to performing multiple tasks in the same program at the same time to improve the efficiency of the program. Both of these aspects are skills that Python R&D engineers must master. In Python, you can use the socket library for network programming and the threading library for multi-thread programming.

5. Database Programming

Database programming is the process of using a programming language to interact with a database. As a Python R&D engineer, you need to be familiar with common databases, such as MySQL and Oracle. Proficient in data table design, SQL statement writing, transaction processing and other skills, but also need to understand advanced features such as ORM framework.

6. Mathematics competition and project experience

Math competitions and project experience are additional skills required for Python R&D engineers. Mathematics competitions can help R&D engineers exercise their programming skills and problem-solving skills, and can also improve their competitiveness in interviews. Project experience is one of the qualities that a R&D engineer should possess. You can accumulate experience by participating in some open source projects or developing some small projects yourself.

In short, as a Python R&D engineer, you need to master the knowledge and skills of data structure and algorithm, programming in Linux environment, Python language, network programming and multi-threading, database programming, mathematics competition and project experience. If you master these, you can enter a big factory and become an excellent Python R&D engineer. At the same time, good communication skills, teamwork skills, learning skills and innovation skills are also very important. Hope this article can help you.

The above are the knowledge points that Python R&D engineers need to master. I hope that everyone can deeply understand and master these knowledge points during the learning process.

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Origin blog.csdn.net/2301_77139641/article/details/130628572