Performing the myth of dominating the rankings, the August programming language rankings are released

As a qualified programmer, one thing you must do is pay attention to the popularity of programming languages!

TIOBE, a world-renowned programming community, announces the latest changes in programming languages ​​every month. The August programming language rankings are out! Without further ado, let’s take a look!

TIOBE August TOP 15 programming languages:

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For the detailed list, please refer to the official website: https://www.tiobe.com/tiobe-index/

In this list, Python still ranks first, accounting for 13.33% , performing the myth of dominating the list.

In addition, in the "2023 State of Software Engineers" report released by Hired, a well-known IT recruitment website in the United States, Python was also rated as the favorite programming language for software engineers.

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△ Data source: 2023 State of Software Engineers

 Python is strong and explosive is the inevitable path 

As a high-level programming language, the birth of Python may be accidental, but it is inevitable that it will be loved by programmers.

Characteristics such as simplicity, ease of learning, efficiency and practicality, and openness and sharing make Python widely used in all walks of life. Even when many Internet companies are recruiting, no matter what position you are in, having Python-related skills will become a bonus when applying for jobs.

Before learning Python: Is this thing really as good as the legend says?

After learning Python: Oh my god, it smells so good ~

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It can be seen that Python, as an emerging development language, has a fairly stable audience and has an excellent reputation among developers.

Some people say that there are only two kinds of people in the world, one is those who have learned Python, and the other is those who are on the road to learning Python. So, which one are you?

 Python+ has become a powerful tool and high salary is within reach 

It is better to take a look at the recruitment information and search for Python-related positions on third-party websites. You can see that the  average monthly salary of Python development engineers in Beijing is 23.2K  , of which 20K-30K accounts for the largest proportion.

Similarly, students who come to Dark Horse to study Python + big data development courses have also achieved eye-catching employment salaries. Recently, the latest employment data came from Dark Horse’s Guangzhou campus. There are 13 Python+ big data development employment classes, with an average salary of 14,131 yuan and a maximum salary of 23,000 yuan. It takes 7 working days to graduate, and 100% of the class’s salary exceeds 10,000!

Part of the offer display:

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Countless employment offers prove that students who graduated from Dark Horse are employed in first-tier cities or second- and third-tier cities. Each class has the characteristics of high employment rate and high salary.

Taking the employment data in the second quarter of 2023 as an example, there are many students in each class with a monthly salary of tens of thousands, and the highest salary reaches 23,000 yuan. After graduation, you can target engineers with 2-4 years of development experience, making your job search smoother!

If you also want to be one of the "high-paid" people, but don't know if you can learn Python, refer to the crowd below to get a seat!

0 basic →  rapid improvement

Fresh graduates →  enter the industry and develop in the long term

Job transfer→  Get started quickly

Junior engineer →  job change/promotion/salary increase

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Dark Horse has been keeping up with the needs of enterprises and constantly upgrading course content. Let me tell you some good news. Recently, our courses have been updated. Dark Horse Python+ big data development course has ushered in the V4.0 version, integrating popular technologies nowadays. !

Highlights of course updates:

The new version of the course fully embraces the cloud platform, cooperates with Alibaba Cloud, and uses the domestic industry-leading Alibaba Cloud big data platform to meet the actual big data development needs of enterprises and enhance students' employment competitiveness.

In addition, we cooperated with FlineBI to build a big data BI course and integrated the FCP certification system into the course, which increased the employment breadth of students, scientifically polished, and steadily helped students advance to senior data development engineers!

· Six-project system, 50+ days project proportion

Whether it’s an interview or actual work, practical experience is crucial. Dark Horse benchmarks the actual recruitment needs of enterprises and uses six big data projects in different industries, covering from offline to real-time computing scenarios, restoring the real workplace, training students' practical abilities, and getting started quickly upon entry.

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· Factory-level technical solutions to solve problems

Development doesn’t have to start from scratch, the solution is ready to use! Dark Horse's courses cover mainstream technologies and business solutions for digital enterprise transformation. The exclusive "Technical Template Library" can speed up work, solve common technical problems in the workplace, and help you become a core technical member of the team faster!

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6 technical solutions, covering all industries

Including ETL, offline data warehouse, user portrait, data governance, Lambda architecture, Kappa architecture, lake and warehouse integration, etc.;

Multiple business solutions, ready to use

Including domestic large-scale supermarkets, new retail, finance and insurance, financial securities, logistics and warehousing, aviation, e-commerce, travel, education, Internet of Things and other fields.

· Project courses launch new model to assist interviews

The big data project stage adopts a set of pan-e-commerce business scenarios , from offline data warehouse, real-time data warehouse, user portrait, recommendation system to data governance, to complete a full set of big data solutions to help enterprises digital transformation.

Using the same set of business learning can reduce the business learning pressure of students. At the same time, the project adopts a combination of lectures and practice and project practice, so that students can truly go from understanding to practicing.

The project curriculum implements the new model of "Teaching A and practicing B" and "Looking at pictures and talking", which  is based on the analysis of ideas to improve students' independent development capabilities, and promotes the continuous improvement of students' logical thinking and language expression skills, providing students with opportunities in interviews and Lay a solid foundation for independent enterprise development.

· Complimentary 3-month advanced course, super evolution

A full set of [sub-second real-time advanced courses] are given as a gift, including Java language, Apache Flink usage, principles and source code, and Apache Flink secondary development. The course duration is 60 days and 1,000 technical points are provided to help students become real-time engineers standing at the top of the pyramid. Double your strength and " beat " ordinary programmers in the workplace !

The teaching and research teacher of Dark Horse's Python + big data development discipline emphasized that "the upgraded courses are suitable for students with different starting points, and the progressive course content allows everyone to gain something after learning. What the students learn is what the big companies are using, and they will be able to graduate immediately. " It can seamlessly meet enterprise employment needs.

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At present, the digital economy has become a new driving force for social and economic development. The acceleration of digital transformation has also forced the continuous upgrading of major related technologies. Under such a wave, Python has undoubtedly become the mainstream programming language. In big data, cloud computing, 5G, Fields such as artificial intelligence have unlimited prospects.

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Origin blog.csdn.net/JACK_SUJAVA/article/details/132457986