Is it necessary to learn python programming?

It is necessary to learn python programming.

1, a powerful software library ecosystem

There are many software libraries to choose from, which is one of the main reasons why Python has become the most popular programming language for artificial intelligence. The software library consists of modules or modules published by different sources (such as PyPi), including pre-written code fragments, allowing users to access certain functions or perform different operations. Python library provides basic projects, so developers don't have to code from scratch every time, which reduces the workload of program developers.

2. The entry threshold is very low.

Lower barriers to entry allow more data scientists to quickly master Python, develop artificial intelligence, and learn this language without much effort. Python programming language is very similar to everyday English, which makes the learning process easier. Its simple grammar can make people easily use complex systems and ensure the clear relationship between system elements.

3. Readability

Python is very readable, so every Python developer can understand peer code and modify, copy or share it. Because there are no examples that will cause confusion, mistakes or conflicts, the communication of algorithms, ideas and tools between artificial intelligence and machine learning professionals is more effective.

What can Python do after learning it well?

1, Web development

Django is the most popular Python web framework, which supports Tornado framework with asynchrony and high concurrency. The short and incisive slogans of flask, bottle and Django define Django as a perfect framework with a deadline (meaning an efficient web framework developed for perfectionists).

2. Cloud computing development

Currently, the most popular and well-known cloud computing framework is OpenStack. Python is so popular now, largely because of the outbreak of the cloud computing market in recent years.

3. Financial analysis

Many financial companies use Python for analysis programs and high-frequency trading software. At present, Python is the most widely used language in the field of financial analysis and quantitative trading.