What is Python? What can Python do? How to learn Python| Beginner's Introduction Knowledge

1. Python Rookie Tutorial

Before learning a new language, first have a brief understanding of its background. Python is an object-oriented interpretive computer programming language invented by Dutch Guido van Rossum in 1989, and its first public release was released in 1991.

2. Usage of Python for i in range()

Python adheres to a clear and uniform style in design, which makes Python a widely used language that is easy to read, maintain, and welcomed by a large number of users. Python has a rich and powerful library. It is often nicknamed glue language, and can use various modules made in other languages (especially.

3. Python for loop

C/C++) is easily connected together. To put it simply, Python is a program development language and a high-level programming language. Its core design concept is legibility of code and allows programmers to easily express ideas and ideas through several lines of code.

4. Python while loop statement

The design philosophy of Python is "elegant," "clear," and "simple." Therefore, the concept of "always having multiple methods to do the same thing" in the Perl language is often unbearable among Python developers. Python developers' philosophy is "using one method, preferably only one method to do one thing.

5. Function and Usage of Python Strip() Function

When designing the Python language, if faced with multiple choices, Python developers generally reject fancy syntax and choose clear syntax with little or no ambiguity. Due to differences in design concepts, Python source code is generally considered to have better readability than Perl and can support large-scale software development.

6. Python split () method

These guidelines are known as Python maxims. Running import this within a Python interpreter can provide a complete list. Python developers try to avoid immature or unimportant optimizations. Patches that accelerate runtime for non important parts are usually not merged into Python.

7. Usage of Python if else

So many people think that Python is very slow. According to the Pareto principle, most programs have low requirements for speed. In some cases, Python designers tend to use JIT technology, or use C/C++language to rewrite this part of the program. The available JIT technology is PyPy.

8.python turtle

Python is a completely object-oriented language function, module, number, and string are all objects and fully support inheritance, overloading, derivation, and multiple inheritance, which is beneficial to enhancing the reusability of source code. Python supports overloaded operators and dynamic types. Compared with Lisp, a traditional functional programming language, Python only provides limited support for functional design.

9. How to use the Python replace function

There are two standard libraries (functional tools, itertools) that provide proven functional programming tools in Haskell and Standard ML. Although Python may be roughly classified as a "script language," in reality, some large-scale software development projects such as Zope, Mnet, and BitTorrent are also widely used by Google.

10. Usage of Python Map Function

Supporters of Python prefer to refer to it as a high-level dynamic programming language because "scripting language" generally refers to languages that only handle simple programming tasks, such as shellscript, VBScript, and other programming languages that can only handle simple tasks, and cannot be compared to Python.

Python itself is designed to be extensible, and not all its features and functions are integrated into the language core. Python provides rich APIs and tools, allowing programmers to easily write extension modules using C, C++, and Python. The Python compiler itself can also be integrated into other programs that require scripting languages.

Therefore, many people also use Python as a "glue language" to integrate programs written in other languages and encapsulate many projects within Google. For example, Google Engine uses C++to write parts with high performance requirements, and then uses Python or Java/Go to call corresponding modules.

Alex Martelli, the author of the Python Technical Manual, said, "It's hard to say, but in 2004, Python was already used internally by Google. Google recruited many Python experts, but they had already decided to use Python before that. Their goal was to use Python where we can, C++where west, for hardware manipulation, and Python for rapid development.

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What is Python capable of? It is a popular technology in the IT industry, and its updates are very fast. The wave of technology is wave after wave, and the initial wave is undoubtedly the desktop era. Building desktop applications using C # has begun to emerge, and MFC is still a must-have thing for computer science majors. Then, it is based on website construction as the background of applications, with languages such as PHP and Ruby as the main focus.

In recent years, with mobile development as the application background and Java (Android development) or OC (iOS development) as the main language, it is obvious that the current trend is based on big data and machine learning as the application background, and Python language as the main language, standing at the forefront of the wind and waves, pigs can fly.

Grasping this wave of technology can be of great help to people in the IT industry. python specifically involves the following: · website development · web crawler · data analysis, data mining, big data · automated test/operation and maintenance, test/operation and maintenance development · system programming · user graphic interface · database programming

·Scientific computing programming, games, graphics, artificial intelligence, XML, robots, etc.

What is the most important thing to start learning a new technology in Python? When learning knowledge in any subject quickly, there is a very important concept: minimum necessary knowledge. When it is necessary to acquire a certain skill, it is necessary to find a way to understand the minimum necessary knowledge in the shortest possible time, and then quickly master them.

For a quick start to Python, the minimum necessary knowledge is as follows: (1) Find a simple and easy to understand Python basic grammar tutorial with good examples. Don't read many books from beginning to end, focus on typing all the routines in one book, and understand why it is recommended to read the "Simple Python Tutorial", a very good Python beginner's book.

(2) After you have a preliminary understanding of Python syntax in practical Python projects, you can find some Python practical projects to practice. For any computer programming language, starting from actual projects and learning new technologies is a very efficient way to learn. During the practice process, you will encounter various problems: basic grammar problems (spelling of keywords), illogical code, My own ideas cannot be expressed in code, and so on.

At this point, find corresponding solutions to the problems that arise. For example, you can review the knowledge in the book (about basic grammar problems), Google search for compilation errors encountered (errors prompted by the editor), learn to imitate others' existing code (unable to write code), and other practical projects to drive learning. This will help you grow very quickly.

There are many actual Python projects online, so you can search for them yourself and make reasonable use of network resources. Don't just focus on reaching out. Once you have completed the above two points, you will have already started Python. The next step is to plan your future learning plan and find someone who already knows Python.

Ask him some advice on learning planning, and then find him to guide him in areas where he is stuck. This will get twice the result with half the effort. However, learn to search, learn how to ask questions better, and no one will be willing to answer obvious questions. Of course, if no one around you knows Python, you can also search for corresponding information online. Python can do a lot of things,

For example, Python can perform daily tasks, such as automatically backing up your MP3 player; Can be a website, many famous websites such as Zhihu and YouTube are written in Python; It can be used as a backend for online games, and many of them are developed in Python.

Everyone has their own interests, some are interested in website development, some are interested in data processing, and some are interested in backend. Therefore, you can search for relevant information online based on your interests, conduct in-depth learning, and plan your future direction. As long as you persist, you can become proficient in Python and become a popular talent in the future.