foreword
Is reptile Python easy to learn? Learning crawlers requires a certain foundation, and it is easier to learn Python crawlers with a programming foundation. But you have to watch and practice more, and have your own logical ideas. It is valuable to use Python to achieve your own learning goals. If it is an introductory study and understanding, it is not difficult to start learning, but it is difficult to learn in depth, especially for large projects.
Most crawlers follow the process of "sending a request—obtaining a page—parsing the page—extracting and storing content", simulating the process of using a browser to obtain web page information. After sending a request to the server, you will get the returned page. After parsing the page, you can extract the part of the information we want and store it in the specified document or database.
Crawler Python entry learning is divided into three stages:
1. Zero foundation stage:
Learn crawlers from scratch, get started with the system, start from 0 to get started with crawlers, in addition to the necessary theoretical knowledge, the more important thing is the practical application, take you to capture 4 kinds of mainstream website data, and master the mainstream crawler crawling methods.
The ability to capture data from mainstream websites is the learning goal at this stage
Learning focus: Basic knowledge of computer network/front-end/regular//xpath/CSS selectors required by reptiles; realize data capture of two major types of web pages, static web pages and dynamic web pages; simulate login, deal with anti-crawling, identify verification codes, etc. Detailed explanation of difficulties; explanation of common application scenarios such as multi-threading and multi-processing
2. Mainstream framework
The mainstream framework Scrapy realizes massive data crawling, and the ability to improve from native crawlers to frameworks. After learning, you can thoroughly play with the Scrapy framework and develop your own distributed crawler system, which is fully competent for the work of intermediate Python engineers. Gain the ability to efficiently capture massive amounts of data.
Learning focus: Scrapy framework knowledge explaining spider/FormRequest/CrawlSpider, etc.; explaining from stand-alone crawler to distributed crawler system; Scrapy breaks through the limitation of anti-crawler and Scrapy principle; more advanced features of Scrapy include sscrapy signal, custom middleware; Some mass data combined with Elasticsearch to build a search engine
3. Reptiles
In-depth App data capture, improved crawler capabilities, coping with App data capture and data visualization display, capabilities are no longer limited to web crawlers. From then on, broaden your crawler business and enhance your core competitiveness. Master App data capture to realize data visualization
Learning focus: Learn the application of mainstream packet capture tools Fiddler/Mitmproxy; 4 kinds of App data capture in practice, combining learning and practice to master App crawler skills; build a multi-task capture system based on Docker to improve work efficiency; master the basics of Pyecharts library, draw Basic graphs, maps, etc. for data visualization.
Crawler Python is used in many fields, such as crawling data, conducting market research and business analysis; as raw data for machine learning and data mining; crawling high-quality resources: pictures, texts, and videos. It is very easy to master the correct method and be able to crawl the data of mainstream websites in a short period of time. It is recommended to set a specific goal from the beginning when getting started with reptile Python. Learning will be more efficient when driven by the goal.
4. What can you do to learn reptiles well?
Technology: Reptiles and anti-reptiles were born almost at the same time. They are two technologies that fall in love with each other. If there is no crawler, there will be no anti-crawling. Like now, all kinds of perverted QR codes are flooding the website - please click on all the single dogs in the picture below . (Crazy)
Employment: How good is the employment situation for crawler engineers? Check out the pictures below to find out!
Prospect: There are still many people who are not optimistic about the prospect of reptiles, but every technology needs to be accumulated over time and learn new knowledge continuously, otherwise it will be eliminated by the times. Perhaps reptiles can just become a new starting point in your life, and one day you will become a CEO, marry Bai Fumei, and reach the pinnacle of life!
About Python Technical Reserve
It is good to learn Python whether it is employment or sideline business to make money, but to learn Python, you still need a study plan. Finally, everyone will share a full set of Python learning materials to help those who want to learn Python!
1. Python learning route
2. Python basic learning
1. Development tools
Prepare the necessary tools for everyone to use during the Python development process, including the latest version of PyCharm installation permanent activation tool.
2. Study notes
3. Learning videos
3. Essential manual for Python beginners
Four, Python actual combat case
Five, Python crawler secrets
6. A complete set of resources for data analysis
Seven, Python interview highlights
2. Resume template
Data collection
The above-mentioned complete version of the full set of learning materials for Python has been uploaded to the official CSDN. If you need it, you can scan the QR code of the CSDN official certification below on WeChat and enter "receive materials" to receive it.
Good article recommended
Understand the prospect of python: https://blog.csdn.net/xiqng17111342931/article/details/127705925
Learn about python's sideline: https://blog.csdn.net/xiqng17111342931/article/details/127872402