This article mainly introduces 100 classic projects of python practice, which has a certain reference value, and friends who need it can refer to it. I hope that you will gain a lot after reading this article. Let the editor take you to understand it together.
1. Recommend several Python projects suitable for beginners
"Python Combat: Implementing a Crawler System in Four Weeks" Baidu SkyDrive Free Download
Link:
Extraction code: xbdu
Python actual combat: four weeks to realize the crawler system
2. What Python training projects are worth recommending?
Python was designed in the early 1990s by Guido van Rossum of the Netherlands Research Society for Mathematics and Computer Science as an alternative to a language called ABC. AI automatic writing Python provides efficient advanced data structures and simple and effective object-oriented programming.
Python syntax and dynamic types, as well as the nature of interpreted languages, make it a programming language for scripting and rapid application development on most platforms. With the continuous update of versions and the addition of new language features, it is gradually used for independent project development.
The Python interpreter is easily extensible and can be extended with new functions and data types using C or C++ (or other languages that can be called from C). Python is also used as an extension programming language in customizable software. Python's rich standard library provides source code or machine code for each major system platform.
In October 2021, Tiobe, the compiler of the Language Popularity Index, crowned Python the most popular programming language, placing it above Java, C, and JavaScript for the first time in 20 years.
3. What are the small programs for python
Hello, python is not suitable for small programs.
1. WeChat officially provides a large number of interface APIs for small programs. The development of small programs requires basic Javascript, HTML, and CSS foundations.
2. For small program development, the "MINA" framework is commonly used.
Apache Mina Server is a network communication application framework, that is to say, it is mainly a communication framework based on TCP/IP and UDP/IP protocol stacks (of course, JAVA Object serialization service, virtual machine pipeline communication service, etc.), Mina can help us quickly develop high-performance, high-scalability network communication applications, Mina provides event-driven, asynchronous (Mina’s asynchronous IO uses JAVA NIO by default as Low-level support) programming model for operations.
This framework provides rich components and APIs for the operation of WeChat applets. It is necessary to learn and master the framework structure, data binding mechanism, template, data cache, common components and API of small programs and other related knowledge.
Hope it helps you!
4. What can you do after learning Python?
Learning python is mainly a way of self-study or class study, but self-study is not recommended.
If you want to change your career by learning python, you need to clarify your own direction. Because python programming has many directions, including web crawler, data analysis, web development, test development, operation and maintenance development, machine learning, artificial intelligence, quantitative trading, etc., each direction has specific skill requirements.
If you want to learn, of course you can learn. Python is a programming language with beautiful grammar. It can not only be used as a small tool to improve our daily work efficiency, but also can be used as a high-tech employment skill alone!
Things that python can do:
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Software development: Using python to make software is a job that many people are engaged in, whether it is B/S software or C/S software, they can do it. And the demand is still quite large;
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Data mining: Python can make excellent crawler tools for data mining, and there are many data mining positions in many Internet companies;
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Game development: python is very scalable and has a library for game development, and game development is definitely a violent profession;
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Big data analysis: Now is the era of big data, it is also possible to use python to do big data, big data analysis engineer is also a hot job;
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Full-stack engineer: Nowadays, programmers are developing in the direction of full-stack, and learning python has more advantages in this regard;
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System operation and maintenance: python is supported in many linux systems, and its grammatical features are similar to shell scripts. It is also very good to do system operation and maintenance after learning python.
The Internet industry is still one of the most popular industries at present. After learning IT skills, if you are good enough, you will have the opportunity to enter Tencent, Ali, Netease and other Internet companies with high salaries. The development prospects are very good, and ordinary people can also learn.
If you want to study systematically, you can check and compare popular schools with related majors. Good schools have the ability to independently develop courses according to the needs of current enterprises, and can obtain a college or bachelor degree during school. Zhongbo Software College, Nanjing Ke Workshop, Nanjing Beida Jade Bird and other schools offering related majors are all good. It is recommended to conduct on-site inspections for comparison.
I wish you success in learning and hope to adopt it.
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5. How do Python engineers learn by themselves (learning path)
In the IT industry, technology is more important than education, age, and working experience. The level of technology directly determines the employment salary. If you want to learn python well, you must first understand the four basics of Python language, Python web development, Python crawler, and Python data analysis. aspect.
Zero-based learning needs to start from the following stages:
Stage 1: Proficient in Python multi-threaded concurrent programming technology, able to write crawler programs and speech recognition software
Stage 2: Proficient in Linux operating system management technology, able to build almost all Linux environment servers
Phase 3: Master the three major Python back-end frameworks to solve all front-end and back-end Web development problems
Phase 4: Master the three major Python back-end frameworks to solve all front-end and back-end Web development problems
Phase 5: Web framework Tornado
Phase 6: docker container and services Discovery
Stage 7: Master distributed multi-threaded large-scale crawler technology, and be able to develop enterprise-level crawler programs
Stage 8: Become a Python data mining analyst, enter the field of artificial intelligence, and become the most cutting-edge talent in the IT market
6. How to list all the results of print into a new list in python
Specific operation steps:
1. First open the python editor and create a new python project.
2. Define a list in the python project.
L = ['yisu','zhaixing']
3. Finally, use the print function to output the list.
The execution result of print(L)
is ['yisu','zhaixing'].
7. How to learn Python with zero foundation?
The following is the learning route of the python full-stack development course, which can be studied in a planned way according to this course outline:
Phase 1: Basics of Python Development
The learning content of Python development basic knowledge of Python full-stack development and artificial intelligence includes: Python basic syntax, data types, character encoding, file operations, functions, decorators, iterators, built-in methods, common modules, etc.
Phase 2: Python advanced programming and database development
Python full-stack development and artificial intelligence Python advanced programming and database development knowledge learning content includes: object-oriented development, Socket network programming, thread, process, queue, IO multi-channel model, Mysql database development, etc.
Phase 3: Front-end development
Python full-stack development and artificial intelligence front-end development knowledge learning content includes: Html, CSS, JavaScript development, Jquery&bootstrap development, front-end framework VUE development, etc.
Phase 4: WEB framework development
Python full-stack development and artificial intelligence WEB framework development learning content includes: Django framework basics, Django framework advanced, BBS+Blog actual combat project development, caching and queue middleware, Flask framework learning, Tornado framework learning, Restful API, etc.
Phase Five: Reptile Development
Python full-stack development and artificial intelligence crawler development learning content includes: actual crawler development.
Phase 6: Full-stack project combat
Python full-stack development and artificial intelligence full-stack project practical learning content includes: enterprise application tool learning, CRM customer relationship management system development, Lufei Xuecheng online education platform development, etc.
Phase Seven: Data Analysis
Python full-stack development and data analysis of artificial intelligence learning content includes: financial quantitative analysis.
Phase Eight: Artificial Intelligence
The artificial intelligence learning content of Python full-stack development and artificial intelligence includes: machine learning, data analysis, image recognition, natural language translation, etc.
Phase 9: Automated O&M & Development
Python full-stack development and artificial intelligence automatic operation and maintenance & development learning content includes: CMDB asset management system development, IT audit + host management system development, distributed host monitoring system development, etc.
Phase 10: High Concurrency Language GO Development
Python full-stack development and artificial intelligence high-concurrency language GO development learning content includes: GO language basics, data types and file IO operations, functions and object-oriented, concurrent programming, etc.
For those who are interested in Python development, you may wish to start by reading the Python development tutorial! There are a lot of Python teaching videos on station B, ranging from basic to advanced, which are pretty good. The knowledge points are explained in detail, and there is also a full version of the learning roadmap. You can also go and see for yourself, download and learn to try.
8. How did you all learn Python?
Learning Python can be roughly divided into the following stages:
1. When you first get started, you must go through the most basic knowledge of Python first, such as: variables, data structures, grammar, etc. The basics are passed quickly, basically 1~2 The week will be over, and I read the basics here: Introduction to Python | Novice Tutorial If you want to be simpler, I have summarized my own learning experience into a Python and crawler e-book, which is guaranteed to be very popular and easy Know how to help you learn Python. At present, this book has helped hundreds of thousands of people learn Python from scratch.
2. After reading the basics, do some small projects to consolidate the basics. For example: make a terminal calculator. If you really can’t find any hand-practicing projects, you can practice on Codecademy - learn to code, interactively, for free.
3. If you have enough time, you can buy a book on the basics of Python such as "Python Programming". After reading these books, you will find many corners and corners that you have not learned while consolidating the foundation. This step is for yourself A supplement to basic knowledge.
4. The Python library is the essence of Python. It can be said that the Python library constitutes and creates Python. The Python library is a powerful tool for Python developers, so learning the Python library is particularly important: The Python Standard Library, there are many Python libraries. If you don’t After reading all the time, you might as well learn the commonly used Python libraries:Python Commonly Used Libraries - Zhihu Column
5.Python libraries are developers' powerful tools. You can do many things with these libraries. The most common web crawlers, natural language processing, Image recognition, etc., these fields are supported by powerful Python libraries, so when you learn the Python library, you must practice it as soon as possible. How to find the Python library you need? Recommend one of my previous answers: How to find a Python library that suits your needs?
6. After learning and using these Python libraries, you should be very satisfied with Python at this time, and very excited to meet such a language. It is at this time that you might as well start learning Python data structures and algorithms, and Python design patterns. This is your next step. An important step in learning: faif/python-patterns
7. When you get through the difficult sixth step, choose the direction you want to study at this time. If you want to do back-end development, you might as well study Django, and then it will be you I am free to play.