With the rapid development of Python in recent years, the scope of application has gradually become wider, including back-end development, front-end development, crawlers, financial quantitative analysis, artificial intelligence, automated operation and maintenance, automated operation and maintenance, and big data, and Python is involved. Compared with other programming languages, Python has a relatively simple syntax. Even without any programming foundation, we can learn and master Python programming development. It is the darling of the new era! Therefore, more and more people are participating in Python engineer training institutions.
Python has many features that appeal to programmers. It is easy to learn, object-oriented, bytecode compilation, free and open source. There are also runtime checks, complete and fast support, and extensions that can perform various tasks. When using Python, you can be very efficient.
Python has a rich and powerful library. It is often called a glue language, which can easily connect various modules made in other languages (especially C/C++). A common application situation is to use Python to quickly generate a prototype of a program:
For example, the graphics rendering module in a 3D game has particularly high performance requirements. It can be rewritten in C/C and then packaged as an extended library that can be called by Python. It should be noted that you may need to consider platform issues when you use extended class libraries, and some may not provide cross-platform implementation.
Python is the language of choice in the era of artificial intelligence and the era of big data. Old Boy Education has updated the Python full stack + artificial intelligence course to meet the needs of people who want to join the artificial intelligence industry and participate in Python development.
Many people's understanding of python is simple and easy to understand and rapid development, but there are also a lot of people's understanding of python. Relatively speaking, python is easy to learn but not easy to master. Python development, brought by teachers with rich programming experience, will help you answer various questions and difficulties you encounter, you will avoid many detours, shorten learning time, and be more concentrated and systematically master the various knowledge points required for python development.
Knowledge point expansion:
Python's standard library and third-party libraries are so powerful that you can't imagine. No matter you want to engage in technical programming in any direction, you can almost find the corresponding library support. Here are just a few chestnuts:
WEB development: The most popular Python web framework, Django, supports the asynchronous and high-concurrency Tornado framework. The short and sharp flask, bottle, and Django official slogans define Django as the framework for perfectionist with deadlines. High-efficiency web framework).
Network programming: Supports the Twisted network framework with high concurrency. The asyncio introduced by py3 makes asynchronous programming very simple.
Crawler: In the crawler field, Python is almost dominant. Scrapy\Request\BeautifuSoap\urllib, etc., crawl whatever you want.
Cloud Computing: The most popular and well-known cloud computing framework at present is OpenStack, and Python's current popularity is largely due to cloud computing.
Artificial Intelligence: Who will become the first development language in the era of AI and big data? This is already an issue that does not need to be debated. If five years ago, Matlab, Scala, R, Java, and Python still had opportunities, and the situation is still unclear, then five years later, the trend has been very clear, especially after Facebook open sourced PyTorch some time ago, Python as the AI era The position of the top language is basically established, and the future suspense is only who can secure the second place.
Automated operation and maintenance: Ask every operation and maintenance personnel in China, what language must the operation and maintenance personnel know? 10 people believe that they will give you the same answer. Its name is Python.
Financial analysis: I have a friend who was in the financial industry before. In 10 years, many analysis programs and high-frequency trading software written by their company used Python. So far, Python is the most used language in the fields of financial analysis and quantitative trading.
Scientific Computing: Do you know? Since 1997, NASA has been using Python extensively to perform various complex scientific operations. With the development of many libraries such as NumPy, SciPy, Matplotlib, Enthought libraries, etc., Python has become more and more suitable for scientific calculations and high-level rendering. Quality 2D and 3D images. Compared with Matlab, the most popular commercial software in the field of scientific computing, Python is a general programming language and has a wider range of applications than the scripting language used by Matlab.
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