How about learning Python? Really develop it? I think a lot of small partners have this question now. In fact, from the current development situation of the market is, Python in the IT industry is very popular, and it is very promising programming language, has good application prospects are very good in all walks of life, if Python interest, we must seize the opportunity as soon as possible into the ranks.
How Python development prospects? Python can have a very good role in many aspects, such as artificial intelligence, data analysis, automated operation, etc., are an emerging industry, great room for development, the future direction of development is also very good, in connection down the years also have full Python good development space, covering the scene, good space for development, the future prospects are very good.
What Python main application areas:
1, web development: Python has a lot of free data library, free WEB page template system that can achieve web development, building web framework, currently more famous is diango.
2, Network Programming: Python is another direction of development, programming in our lives everywhere, the basic of development.
3, reptiles Development: In the field of reptiles, Python has almost hegemony, has a very good role in the network data as a resource, targeted data collection and processing through automated procedures.
4, cloud computing development: Python is engaged in cloud computing work need to know programming languages, currently is the fire of the OpenStack cloud computing framework is developed in Python, you want to study in depth secondary development, to master the skills necessary to Python.
5, artificial intelligence: Python has a lot of rich scientific computing library, in the field of artificial intelligence, come to the fore, with very good effect, a lot of artificial intelligence algorithms are based on Python written out.
6, automatic operation and maintenance: Python is a general programming language, meet the needs of most automated operation and maintenance personnel, front-end and back-end can be.
7, Financial Analysis: Financial analysis includes financial knowledge and Python module-related learning, learning content include Numpy \ Pandas \ Scipy data analysis module.
8, scientific computing: Python is a very suitable for scientific computing programming language, beginning in 1997, NASA will use a lot of Python variety of complex scientific computing, as NumPy, SciPy, Matplotlib, Enthought librarys and many other libraries development, Python is more suitable for scientific computing work.
Training on how to Python? Good prospects? Similar problem to introduce so many, in fact, currently Python prospects are very good, as long as the technology rests in place, finding a job is very easy.