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This article mainly explains what knowledge Python reptile engineers need to master. Interested friends may wish to have a look at it. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn what knowledge Python reptile engineers need to master.

The Python language is now very popular both academically and in employment, and many are learning Python. Because Python can not only do big data analysis, crawler, cloud computing, but also do artificial intelligence, and his grammar is very easy to understand. The reason why Python crawler engineers are paid so much is that they need to master a lot of abilities.

1. Master at least one programming code.

Mastering a single programming code is a must for Python crawler engineers. Data names and worthy correspondence, processing some url, and so on. In fact, the more firmly you master, the better. Crawlers are not a simple job, nor are they more demanding on programming languages than other jobs. It is always good to be familiar with the programming language you use and the relevant frameworks and libraries.

2. Database

The database must be met, and the database must be used to save the data. But sometimes some small data can be saved as json or csv and so on. It is recommended to use NoSQL databases, such as mongodb, because the data captured by crawlers are usually fields-worthy of correspondence. Mongo is more flexible in this respect, and the data relationship crawled by crawlers is very weak, and table-to-table relationships are rarely used.

3 、 HTTP

HTTP knowledge is a necessary skill. Because you want to climb the web page, you must understand the web page. The parsing method of html documents should be understood, HTTP protocol should be understood, and session and cookies should be understood. The difference between GET method and POST method. Be proficient in browsers.

4. Operation and maintenance

Maintaining reptiles that are already working is a heavy task. As the working time increases, we usually learn to make the written crawlers easier to maintain. For example, the log system of the crawler, the statistics of the amount of data and so on. If a crawler does not work, the reason may be that the structure of the page to be caught has been updated, or it may appear on the system, or it may be that the anti-scraping strategy was not found when the crawler was developed, and something went wrong after it was launched. It is also possible that the other website found that you are a crawler and blocked you, so generally speaking, the development of crawlers should take into account the operation and maintenance.

5. Job responsibilities

Python crawler engineers need the development, improvement, operation and maintenance of a distributed web page crawling platform to support tens of millions of web page collection, cleaning and analysis every day; the development of product back-end API to achieve high-performance, highly available and scalable back-end code; and automatic operation and maintenance, monitoring and performance tuning of online distributed environment.

At this point, I believe you have a deeper understanding of "what knowledge Python crawler engineers need to master". You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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