Can I learn crawler knowledge in Python with zero foundation? (Must read for newbies)

The content of this article is about whether you can learn crawler knowledge in Python from scratch? (A must-read for novices), it has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.

In recent years, artificial intelligence has become more and more popular. After all, things like driverless driving, fingerprint recognition, etc. continue to penetrate into our lives. This also allows more people to see the development prospects of artificial intelligence and choose to join in learning. But you must know that the concept of artificial intelligence is actually very broad and involves all walks of life. If you want to really get into artificial intelligence, you might as well start learning from Python, an important programming language in artificial intelligence. So how to learn crawler knowledge points in Python from scratch?

As a zero-based novice, implementation can be roughly divided into three stages. The first stage is to get started and master the necessary basic knowledge, such as the basics of Python, the basic principles of network requests, etc. The second stage is Imitate, follow other people's crawler code, understand every line of code, and become familiar with mainstream crawler tools. The third stage is to do it yourself. At this stage, you begin to have your own ideas for solving problems and can independently design a crawler system.

The technologies involved in crawlers include but are not limited to proficiency in a programming language (here, we take Python as an example), knowledge of HTML, basic knowledge of the HTTP protocol, regular expressions, database knowledge, the use of commonly used packet capture tools, and crawlers The use of the framework involves large-scale crawlers, and you also need to understand the concept of distribution, message queues, commonly used data structures and algorithms, caching, and even the application of machine learning. Large-scale systems are supported by many technologies. of.

Data analysis, mining, and even machine learning are inseparable from data, and data often needs to be obtained through crawlers. In addition, crawler technology is currently very popular among enterprises and the market. Therefore, it is also promising to master the crawler knowledge points in the Python programming language.

What kind of jobs can you get by learning Python development?

Python engineers have four important positions in the enterprise: verification algorithm, rapid development, test operation and maintenance, and data analysis. Next, let’s take a look at the specific ones:

1. Verification algorithm: It is the verification of common design algorithms or formulas in our company, and the formulas are coded.

2. Rapid development: using less code to develop websites. Python has a large number of mature frameworks in the front and backend of the website, such as django, flask, bottle, tornado, flask and django. Domestic websites developed with Python include: Zhihu, Douban, Scallop, Tencent, and Alibaba;

3. Test operation and maintenance: testing tools and processes implemented in Python, including server, client, web, Automated testing of andriod and client, execution, monitoring and analysis of automated performance tests, commonly used frameworks such as selenium appium.

Operation and maintenance students should know that daily operations in Linux operation and maintenance work cover monitoring, deployment, network configuration, log analysis, security detection and many other aspects, all-inclusive. Python can write many scripts to maximize the behavior of "operation".

Python is very rich in server management tools, including configuration management (saltstack), batch execution (fabric, saltstack), monitoring (Zenoss, nagios plug-in), virtualization management (python-libvirt), process management (supervisor), cloud computing ( openstack)...and most system C libraries have python bindings.

4. Data analysis: Python has three major artifacts: numpy, scipy, and matplotlib. Many of the bottom layers of numpy are implemented in C language, so it is very fast. Use it to participate in various mathematical modeling competitions and can completely replace it. r language and MATLAB.

The current starting salary for junior Python programmers is between 10-20K, which is a very popular job position. Because Python can not only do big data analysis, crawlers, cloud computing, but also artificial intelligence, and its syntax is very simple and easy to understand.

If you are new to programming, learning Python is easy to get started and it is very easy to find a job. If you already have a foundation in other languages, learning Python can help you cope with the changes in the Internet era more calmly.

The above is the complete introduction. If you want to know more about Python video tutorial, please pay attention to the PHP Chinese website.

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