With the rise of big data and artificial intelligence in recent years, Python has increasingly appeared in people’s view.

The rise of artificial intelligence and the concept of big data has driven the rapid growth of Python—Python’s language logic is concise, easy to get started with, and has a rich ecosystem, making it almost the only choice in several emerging fields. Besides these two fields,Python has many more applicable areas: web scraping, web development, automation operations, etc., are all very suitable for Python. With the continuous development of big data and artificial intelligence, Python’s development will become more and more extensive in the future.

Python can also be used for part-time jobs, mainly focused on these three, in decreasing order of demand:

• Web Scraping: Scraping data from websites or apps, providing data to users, or sometimes requiring the provision of programs;

• Web Backend Interfaces: For example, using Flask to provideAPI interfaces, which I actually prefer, but the demand is not much;

• Data Processing and Analysis: Can be done directly with Python or using Pandas.

Python was designed by Guido van Rossum at the National Research Institute for Mathematics and Computer Science in the Netherlands in the late 1980s and early 1990s.

In 1982,Guido obtained a master’s degree in mathematics and computer science from the University of Amsterdam. However, although he can be considered a mathematician, he enjoys the fun brought by computers more. In his words, despite having qualifications in both mathematics and computer science, he tends to do computer-related work and is keen on any programming-related tasks.

Python itself also developed from many other languages, including ABC,Modula-3, C, C++, Algol-68, SmallTalk,Unix shell, and other scripting languages, etc.

Like Perl, the Python source code also follows the GPL (GNU General Public License) agreement.

Python is not only used in workplace office tasks but is also applied by large internet companies for large-scale backend development. With the rapid development of big data, this efficient programming language has gradually become one of the best programming languages for data processing.

The main application areas of Python currently include: data development, artificial intelligence, web development, automation operations, web scraping, game development, network programming…

According to the “New Occupation – Analysis Report on the Employment Prosperity Status of Big Data Engineering Technicians,” the demand for talents related to big data in China will reach 2.5 million by 2025! Starting to learn Python + big data development courses now will make it easier to enter this promising industry!

The shortage of talent leads to the most direct result, which is the rise in salaries. For example, in Beijing, according to statistics from Job Friends, the average salary for Python + big data development positions is 23.2k, with 68.4% earning between 20-50k per month.

Besides the high salaries in first-tier cities, Python + big data development talents also have very attractive salary levels in new first-tier and provincial capital cities!

In summary, the reason why Python is so popular is that it is easy to learn, powerful, and widely used. Python has been widely applied in fields such as data science, web development, and artificial intelligence, and has a wealth of libraries and tools to support these applications. The activity and openness of the Python community allow developers to easily share code and knowledge, and easily receive help and support from other developers.

In addition, Python has also been widely used in the education field, allowing more people to learn and use Python. In short, Python is a programming language worth learning and using, and it will continue to maintain its popularity in the future.