Father of Python: I advise you to make career plans before learning Python

The python language has developed rapidly in recent years, and the fields of application are also very extensive and are all popular majors such as artificial intelligence, big data, etc.! So many people started to learn python. However, up to now, there are still many people who do not have a clear career direction and do not know what to learn. This article will share with you.

If you want to do python development

This is of course the more proficient it is. Although python is a relatively simple language, to really master it, it is still very hard to learn. First of all, you must master the basic syntax and the proficient use of various libraries, and then you must be proficient in Pythonic. Use, master Python's memory mechanism, GIL limitations, etc., know how to change Python's behavior, can easily write efficient and high-quality Python code, can easily distinguish the efficiency of different Python codes and know how to optimize, etc. In short, there is no end to learning!

If you want to do artificial intelligence

The requirements for python are relatively simple, understand the basic syntax, and be proficient in python libraries in the field of artificial intelligence, such as AIMA, pyDatalog, SimpleAI, and machine learning libraries PyBrain, scikit-learn, etc. Of course, learning artificial intelligence with python is not enough. Yes, you must have solid learning knowledge.

Want to be a web crawler engineer

First of all, the basic knowledge must be mastered. Secondly, you must be familiar with multi-threaded programming, network programming, and HTTP protocol. It is best to master some anti-crawling knowledge, cookies, ip pools, verification codes, etc. The most important thing Can analyze the structure of a simple website, can use urllib, urllib2 or requests library for simple data capture;

engage in big data analysis

In addition to basic grammar knowledge, the third-party extension libraries that need to be installed for Python data analysis are: Numpy, Pandas, SciPy, Matplotlib, Scikit-Learn, Keras, Gensim, Scrapy, etc., some knowledge of machine learning deep learning

Of course, python has many functions. In general, to learn python, you must first master the basic knowledge and grammar, and then learn related libraries and knowledge according to the understanding you choose. Don't be blind! If you want to know more Python tutorials or information, please go to the programming learning network . There are not only dry goods sharing but also many free tutorials every day!