search
HomeBackend DevelopmentPython TutorialTips for beginners with zero basic knowledge of Python


As the old saying goes, a year’s plan begins in spring, and a day’s plan begins in the morning. Today, the editor will start the journey of learning Python, below This is some introductory knowledge about Python that I compiled. I hope some friends will join me to learn more!

Tips for beginners with zero basic knowledge of Python

#Before learning, we must first understand Python so that we can better use it in the future.

Python was invented by Guido van Rossum at the end of 1989, and the first public release was released in 1991.

Like the Perl language, Python source code also follows the GPL (GNU General Public License) agreement. Python is a high-level scripting language that combines interpreted, compiled, interactive and object-oriented scripting. Its design is highly readable. Compared with other languages, it often uses English keywords and some punctuation marks in other languages. It has a more distinctive grammatical structure than other languages.

For most programming languages, the first introductory programming code is "Hello World!". The following code uses Python to output "Hello World!":

#!/usr/bin/python
print "Hello, World!";

Python has many advantages, as follows:

1. Easy to learn: Python has relatively few keywords, a simple structure, and a well-defined syntax, making it easier to learn.

2. Easy to read: Python code is more clearly defined.

3. Easy to maintain: The success of Python is that its source code is quite easy to maintain.

4. An extensive standard library: One of Python’s biggest advantages is its rich library, which is cross-platform and compatible with UNIX, Windows and Macintosh.

5. Interactive mode: Interactive mode support, you can enter the language to execute the code from the terminal and get the results, interactive testing and debugging code snippets.

6. Portable: Based on its open source nature, Python has been ported (that is, made to work) to many platforms.

7. Extensible: If you need a critical piece of code that runs very fast, or want to write some algorithms that you don’t want to open up, you can use C or C to complete that part of the program, and then start it from your Python called in the program.

8. Database: Python provides interfaces to all major commercial databases.

9.GUI programming: Python supports GUIs that can be created and ported to many system calls.

10. Embeddable: You can embed Python into C/C programs, allowing users of your program to gain "Scripting" capabilities.

Now that we know so much, let’s set up a Python environment together!

Python’s latest source code, binary documents, news information, etc. can be viewed on Python’s official website:

Python official website: http://www.python.org/

you You can download the Python documentation at the link below. You can download the documentation in HTML, PDF, PostScript and other formats.

Python document download address: www.python.org/doc/


The following are methods for installing Python on different platforms:

Installing Python on Unix & Linux platforms:

The following are simple steps to install Python on Unix & Linux platforms:

Open a WEB browser and visit http://www.python.org /download/

Select the source code compression package suitable for Unix/Linux.

Download and decompress the compressed package.

If you need to customize some options, modify Modules/Setup

Execute ./configure script

make

make install

Execute After the above operations, Python will be installed in the /usr/local/bin directory, and the Python library will be installed in /usr/local/lib/pythonXX, where XX is the version number of Python you are using.

Installing Python on Window platform:

The following are simple steps to install Python on Window platform:

Open WEB browser Visit http://www.python.org/download/

and select the Window platform installation package in the download list. The package format is: python-XYZ.msi file, XYZ is the version number you want to install.

To use the installer python-XYZ.msi, the Windows system must support Microsoft Installer 2.0. Just save the installation file to your local computer and run it to see if your machine supports MSI. Windows XP and later versions already have MSI, and many older machines can also install MSI.

After downloading, double-click the download package to enter the Python installation wizard. The installation is very simple. You only need to use the default settings and click "Next" until the installation is completed.

Installing Python on MAC platform:

Recent Macs systems all come with a Python environment. You can also install it at the link http://www Download and install the latest version from .python.org/download/.

Set environment variables in Unix/Linux

In csh shell: Enter setenv PATH "$PATH:/usr/local/bin/python" and press "Enter".

In bash shell (Linux): Enter export PATH="$PATH:/usr/local/bin/python" and press "Enter".

In sh or ksh shell: enter PATH="$PATH:/usr/local/bin/python" and press "Enter".

Note: /usr/local/bin/python is the installation directory of Python.

Set environment variables in Windows

Add the Python directory in the environment variable: In the command prompt box (cmd): enter path=%path%;C:\ Python presses "Enter".

Note: C:\Python is the installation directory of Python.

It can also be set in the following ways: right-click "Computer", then click "Properties" and then click "Advanced System Settings", select "Path" under the "System Variables" window, and double-click!

Then in the "Path" line, just add the python installation path (my D:\Python32), so later, just add the path.

ps: Remember, the path is directly separated by a semicolon ";"!

After the final setting is successful, enter the command "python" on the cmd command line to display the relevant information.

Tips for beginners with zero basic knowledge of Python

In this way, its environment is configured successfully!

The editor is using the win7 system. I followed the previous practices and tested whether the environment was configured successfully, as shown below:

  1. cmd Open the command line and enter the python command , press enter to check whether it is successful. If the text as shown in the picture appears, it means that the environment configuration is correct.

  2. Enter a statement print ('Hello World'), press enter, and check whether it is successful (note whether the statement is correct, the editor used angle brackets at the beginning, use round brackets) ).

Tips for beginners with zero basic knowledge of Python

For more related knowledge, please visit the php Chinese website Python tutorial column.

The above is the detailed content of getting started with Python. For more information, please pay attention to other related articles on the php Chinese website!

[Recommended courses: Python tutorial column]


##

The above is the detailed content of Tips for beginners with zero basic knowledge of Python. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Python vs. C  : Learning Curves and Ease of UsePython vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

Python vs. C  : Memory Management and ControlPython vs. C : Memory Management and ControlApr 19, 2025 am 12:17 AM

Python and C have significant differences in memory management and control. 1. Python uses automatic memory management, based on reference counting and garbage collection, simplifying the work of programmers. 2.C requires manual management of memory, providing more control but increasing complexity and error risk. Which language to choose should be based on project requirements and team technology stack.

Python for Scientific Computing: A Detailed LookPython for Scientific Computing: A Detailed LookApr 19, 2025 am 12:15 AM

Python's applications in scientific computing include data analysis, machine learning, numerical simulation and visualization. 1.Numpy provides efficient multi-dimensional arrays and mathematical functions. 2. SciPy extends Numpy functionality and provides optimization and linear algebra tools. 3. Pandas is used for data processing and analysis. 4.Matplotlib is used to generate various graphs and visual results.

Python and C  : Finding the Right ToolPython and C : Finding the Right ToolApr 19, 2025 am 12:04 AM

Whether to choose Python or C depends on project requirements: 1) Python is suitable for rapid development, data science, and scripting because of its concise syntax and rich libraries; 2) C is suitable for scenarios that require high performance and underlying control, such as system programming and game development, because of its compilation and manual memory management.

Python for Data Science and Machine LearningPython for Data Science and Machine LearningApr 19, 2025 am 12:02 AM

Python is widely used in data science and machine learning, mainly relying on its simplicity and a powerful library ecosystem. 1) Pandas is used for data processing and analysis, 2) Numpy provides efficient numerical calculations, and 3) Scikit-learn is used for machine learning model construction and optimization, these libraries make Python an ideal tool for data science and machine learning.

Learning Python: Is 2 Hours of Daily Study Sufficient?Learning Python: Is 2 Hours of Daily Study Sufficient?Apr 18, 2025 am 12:22 AM

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Python for Web Development: Key ApplicationsPython for Web Development: Key ApplicationsApr 18, 2025 am 12:20 AM

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python vs. C  : Exploring Performance and EfficiencyPython vs. C : Exploring Performance and EfficiencyApr 18, 2025 am 12:20 AM

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Tools

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.