Objective
Understand the history of Python
Understand the characteristics of Python
Understand Python Application
Master the construction of Python development environment under Linux
Understand the construction of Python environment under Windows
Case
Install Python and write the first Python program
Section 1 A brief history of Python
What Is Python
An interpreted, object-oriented, high-level programming language with dynamic semantics
Python programming
is a programming language that allows you to maintain your own style when programming. You can achieve the functions you want without much effort, and the programs you write are clear and easy to understand.
A brief history of Python
The development of Python can be divided into several important stages:
CNRI period: CNRI is an important unit that funded the early development of Python. Most of the results before Python version 1.5 were completed during this period.
BeOpen period: Guido van Rossum cooperated with BeOpen company. During this period, Python2.0 was launched, and even Python1.6 came out at the same time, but in principle they have been maintained separately.
DC period: Guido has currently left BeOpen and brought the development team to Digital Creations (DC). The company is famous for developing the Zope system, so this cooperation is also attracting attention. .
Python 3.0
Milestone
Python wins the annual Tiobe Programming Language Award
Python achieved significant market share growth in 2010. Since January 2010, Python's market share has increased by 1.81%, which is the fastest growing rate.
Section 2 Python Features
Positioning in the Python Programming Language
Scripting Language
High-level dynamic programming language
Easy to learn
- ##Python is a language that represents simplicity. This pseudocode nature of Python is one of its greatest strengths. It allows you to focus on solving problems rather than figuring out the language itself. Python has an extremely simple syntax and is easy to use.
- Programs written in Python do not need to be compiled into binary code. It is possible to run programs directly from source code, but an interpreter is required. This is similar to Java or Matlab. In fact, I now prefer to think it is the latter.
- Python also has compilation and execution features.
- Python supports both procedural and object-oriented programming. Compared to other major languages such as C++ and Java, Python implements object-oriented programming in a very powerful and simple way. What confuses me is that the attributes of classes in Python don't seem to be that important, at least I don't understand it very well yet.
- Use Python language to write programs without having to consider the bottom layer such as memory management.
- You can write part of the program in C or C++, and then use them in Python programs. In contrast, Python can be embedded into C/C++ programs to provide scripting functions.
- Freely distribute copies of this software, read its source code, make changes to it, and use parts of it for use in new free software. At this stage, we don’t seem to care much about this.
- Due to its open source nature, Python has been ported on many platforms. If you can avoid using system-dependent features, then all Python programs can run on any platform without modification. Including Linux, Windows, FreeBSD, Macintosh, Palm OS, QNX, VMS, Psion, Acom RISC OS, VxWorks, PlayStation, Sharp Zaurus, Window CE and even PocketPC!
- Rich libraries seem to have become an important criterion for judging whether a programming language is powerful. The Python standard library is indeed huge. It can help you with various tasks, including regular expressions, document generation, unit testing, threads, databases, web browsers, CGI, FTP, email, XML, XML-RPC, HTML, WAV files, password systems, GUI , TK and other system-related operations. All these features are available as long as Python is installed. This is called Python's "full-featured" philosophy. In addition to the standard library, there are many other high-quality libraries (which seem to be called third parties), such as wxPython, Twisted, and the Python image library, etc.
- The perfect combination of ease of use and speed
- Focus on solving the problem The Prime Minister
- Cross-platform and easy to expand
Automated memory management
Built-in many high-level and practical data types
Easy to combine Network program module
Master key? No, Glue Language
Section 3 Application of Python
Implementing Web Crawler and many components in search engines.
Yahoo
Yahoo uses it (among other technologies) to manage discussion groups.
NASA
NASA uses Python both for development and as a scripting language in several of its systems.
YouTube
The video sharing service is mostly written in Python.
Why did Douban choose the former between Python and Ruby?
Ruby is very famous, but not many people actually use it in China.
Python's "usability" is much better, and Java already occupies an important position in traditional large-scale applications.
Although Python is not as powerful as Perl's libraries, many libraries are still widely used in large businesses and are much more stable than Ruby.
The simplicity of Python.
Still used, it is said that Ruby was created by Little Japan.
Others: All rooted in Unix system, Google uses Python.
Section 4: Building the Python environment
Linux environment
Most Linux distributions have the Python environment installed by default. If you want to download different versions, you can download them from www.python.org. For software installation methods, refer to Linux software installation.
Enter Python to start Python interactive mode
Program editors recommend using VIM
Windows environment
You can download and install the python msi and install it directly
Comes with python GUI development environment
Many development tools
The above is the detailed content of A brief introduction to Python. For more information, please follow other related articles on the PHP Chinese website!

Create multi-dimensional arrays with NumPy can be achieved through the following steps: 1) Use the numpy.array() function to create an array, such as np.array([[1,2,3],[4,5,6]]) to create a 2D array; 2) Use np.zeros(), np.ones(), np.random.random() and other functions to create an array filled with specific values; 3) Understand the shape and size properties of the array to ensure that the length of the sub-array is consistent and avoid errors; 4) Use the np.reshape() function to change the shape of the array; 5) Pay attention to memory usage to ensure that the code is clear and efficient.

BroadcastinginNumPyisamethodtoperformoperationsonarraysofdifferentshapesbyautomaticallyaligningthem.Itsimplifiescode,enhancesreadability,andboostsperformance.Here'showitworks:1)Smallerarraysarepaddedwithonestomatchdimensions.2)Compatibledimensionsare

Article discusses impossibility of tuple comprehension in Python due to syntax ambiguity. Alternatives like using tuple() with generator expressions are suggested for creating tuples efficiently.(159 characters)

The article explains modules and packages in Python, their differences, and usage. Modules are single files, while packages are directories with an __init__.py file, organizing related modules hierarchically.

Article discusses docstrings in Python, their usage, and benefits. Main issue: importance of docstrings for code documentation and accessibility.

Article discusses lambda functions, their differences from regular functions, and their utility in programming scenarios. Not all languages support them.

Article discusses break, continue, and pass in Python, explaining their roles in controlling loop execution and program flow.

The article discusses the 'pass' statement in Python, a null operation used as a placeholder in code structures like functions and classes, allowing for future implementation without syntax errors.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Dreamweaver CS6
Visual web development tools

WebStorm Mac version
Useful JavaScript development tools

Atom editor mac version download
The most popular open source editor

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software
