Most of the Python tutorials on the Internet are version 2.X. Compared with python3.X, python2.X has changed a lot. Many libraries are used differently. I installed python3.X. Let’s take a look at the details. Example 0x01 I had nothing to do during the Spring Festival (how free I was), so I wrote a simple program to read some jokes and record the process of writing the program. The first time I came into contact with crawlers was when I saw a post like this. It was a funny post about crawling photos of girls on Omelette. It was not very convenient. So I started to imitate cats and tigers and captured some pictures. Technology is inspiring the future. As a programmer, how can you do such a thing? It is better to make jokes that are more beneficial to your physical and mental health. 0x02 Before we roll up our sleeves and get started, let’s popularize some theoretical knowledge. To put it simply, we need to pull down the content at a specific location on the web page. How to pull it down? We must first analyze the web page to see which piece of content we need. For example, this time we crawled the jokes on the hilarious website. When we open the jokes page on the hilarious website, we can see a lot of jokes. Our purpose is to obtain these contents. Come back and calm down after reading it. If you keep laughing like this, we can't write code. In chrome,
1. Python implementation of network subpage crawler case
##Introduction: Most of the Python tutorials on the Internet are version 2.X. Compared with python2.X and python3.X, the changes are relatively large. The usage of many libraries is different. I installed python3.X. Let’s do it. Take a look at the detailed examples
2. Teach you how to install python2 and python3 versions in Windows environment
Introduction: This article mainly introduces the installation of python2.x and python3.x in the Windows (I use Win10) environment, as well as python2.x and python3 Configuration issues when .x coexist.
3. Detailed explanation of the difference between Python3.x and Python2.x
Introduction: Detailed explanation of the difference between Python3.x and Python2.x
4. Python2.x default encoding problem solution
Introduction: This article explains in detail how to solve the python2.x default encoding problem
5. Usage of functions map() and reduce() in Python
Introduction: This This article mainly introduces the usage of map() function and reduce() function in Python. The code is based on Python2.x version. Friends in need can refer to it
6. Summary of formatting methods for strings in Python
7.
Python How to set and use function parameters in Python
# Introduction: This article mainly introduces the function parameters in Python The study notes on setup and use record some differences related to function parameters in Python2.x and Python3.x. Friends in need can refer to
8.
Linux Installing third-party libraries for different versions of python Introduction: This article shares with you how the author installs third-party libraries for python2.x and python3.x under Linux. It is very practical. Friends who need it can refer to 9. python3 to make hilarious web page crawlers Introduction: Most of the Python tutorials on the Internet are version 2.X. Compared with python2.X and python3.X, the changes are relatively large, and the usage of many libraries is different. , I installed python3. How is Django made in Python? I installed python2.X and python3.X through brew. python2 has its own pip tool, but python3 does not have pip3 How to list derive two-dimensional arrays in python2.x? python2.7 - When handling errors in python, after executing the content under the except statement, is there a way to jump back to the place where the code went wrong and continue execution How to elegantly solve the elegant output of unicode encoding in python2.x? [Related Q&A recommendations]:
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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 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'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.

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 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.

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.

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 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.


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