foreword
The popularity of Python has also led to a great demand for Python crawler jobs. Some people may want to ask, is learning Python crawlers really easy to find a job? To what extent? According to data feedback from major recruitment websites, there is currently a relatively large demand for Python crawler engineers in the market. But this does not mean that learning crawlers is easy to find a job. In addition to mastering Python crawler technology, you also need a lot of knowledge, such as anti-crawling mechanism, multi-process, multi-threaded crawlers and so on. Let's take a closer look at how far Python crawlers need to learn.
Why learn python crawler?
As more and more people understand and learn about reptiles, the demand for Python crawlers is also increasing. On the one hand, more and more data can be obtained from the Internet. On the other hand, programming languages like Python provide more and more excellent tools to make reptiles simple and easy to use. Using crawlers, we can obtain a large amount of valuable data, thereby obtaining information that cannot be obtained in perceptual knowledge. And after mastering the basic reptiles, it will be more handy for everyone to learn Python data analysis, web development and even machine learning. Because in this process, you are very familiar with the basic syntax of Python, the use of libraries, and how to find documents.
What are the requirements for a Python crawler position?
To know how well Python crawlers can find a job, we can look at the general requirements for Python crawler engineers in the current market. There are about six points in summary. Of course, it doesn’t mean that you must master all these skills to find a job, but that these skills are bonus points, and the more you know, the better your salary will be.
1. Everyone should know that Python is not the only one that can be used as a crawler, and many languages can. Especially Java, mastering them and having relevant development experience are very important bonus points for job hunting;
2. Most companies require crawler technology to have a certain depth and breadth. The depth is similar to anti-crawling, encryption cracking, authentication login, etc.; the breadth is distributed, cloud computing, etc., which are all added to job hunting. sub option;
3. The Python crawler post is not simply a matter of grabbing data. If you have experience in data extraction, cleaning, deduplication, etc., it is also a bonus item;
4. Generally, companies will have their own crawler system. In addition to learning from them, the most common job for new employees is to maintain the crawler system. This must be understood;
5. The last bonus item is front-end knowledge, especially commonly used js, ajax, html/xhtml, css and other related technologies are the best, and familiarity with js code is very important;
6. In addition, as the market share of handheld devices is getting higher and higher, the proficient use of app data collection and packet capture tools will become more and more important.
What preparations do Python crawlers need to do to find a job?
1. Basic knowledge of Python:
Because the interview is for a Python crawler position, most of the interviewers will examine the basic Python knowledge of the interviewer, including but not limited to: the difference between Python2.x and Python3.x; Python decorators; Python asynchrony; Built-in libraries, such as multithreading; Python threads, etc.
2. Data structure and algorithm:
Data structure and algorithm is a very important point for interviewers, especially school admissions interviews. Of course, small companies will not pay too much attention to these. Judging from the current recruitment situation, the degree of emphasis on interviewers' data structures and algorithms is the same as that of enterprises. It is directly proportional to the quality of the data, and those enterprise companies that never ask you about the data structure, you have to be careful whether they use you as a code farmer.
3. Python crawler:
The most important and crucial point is of course your knowledge and experience reserves related to Python crawlers. This is usually the focus of the interviewer's investigation, including but not limited to: What are the anti-crawler strategies you have encountered? What are your commonly used anti-crawler solutions? Are you using multithreading and async? In addition, what methods have you used to improve the efficiency of crawlers? Have you ever done incremental crawling? Do you have an understanding of the Python crawler framework?
4. Reptile-related project experience:
Crawlers focus on practice. In addition to theoretical knowledge, interviewers will also pay great attention to crawler-related projects. What reptile projects have you done? If there is Github, which one do you think is the best crawler project you have done? What problem did it solve? What's so special about it?
To sum up, the job requirements of Python crawlers are not only to master crawler technology, but also other skills will become a bonus item for job hunting. Therefore, if you hit a wall in job hunting, you need to reflect on whether the level of what you have learned is too shallow or too narrow. Only by finding your own problems and improving and changing them can you grow faster!
Python is a very good programming language with high salary and good employment prospects . Even if you don't want to go to work, you can use Python to do part-time jobs at home (such as crawling data needed by customers, quantifying transactions, writing programs, etc.).
1. Introduction to Python
The following content is the basic knowledge necessary for all application directions of Python. If you want to do crawlers, data analysis or artificial intelligence, you must learn them first. Anything tall is built on primitive foundations. With a solid foundation, the road ahead will be more stable.All materials are free at the end of the article！！！
Include:
Computer Basics
python basics
Python introductory video 600 episodes:
Watching the zero-based learning video is the fastest and most effective way to learn. Following the teacher's ideas in the video, it is still very easy to get started from the basics to the in-depth.
2. Python crawler
As a popular direction, reptiles are a good choice whether it is a part-time job or as an auxiliary skill to improve work efficiency.
Relevant content can be collected through crawler technology, analyzed and deleted to get the information we really need.
This information collection, analysis and integration work can be applied in a wide range of fields. Whether it is life services, travel, financial investment, product market demand of various manufacturing industries, etc., crawler technology can be used to obtain more accurate and effective information. use.
Python crawler video material
3. Data analysis
According to the report "Digital Transformation of China's Economy: Talents and Employment" released by the School of Economics and Management of Tsinghua University, the gap in data analysis talents is expected to reach 2.3 million in 2025.
With such a big talent gap, data analysis is like a vast blue ocean! A starting salary of 10K is really commonplace.
4. Database and ETL data warehouse
Enterprises need to regularly transfer cold data from the business database and store it in a warehouse dedicated to storing historical data. Each department can provide unified data services based on its own business characteristics. This warehouse is a data warehouse.
The traditional data warehouse integration processing architecture is ETL, using the capabilities of the ETL platform, E = extract data from the source database, L = clean the data (data that does not conform to the rules), transform (different dimension and different granularity of the table according to business needs) calculation of different business rules), T = load the processed tables to the data warehouse incrementally, in full, and at different times.
5. Machine Learning
Machine learning is to learn part of the computer data, and then predict and judge other data.
At its core, machine learning is "using algorithms to parse data, learn from it, and then make decisions or predictions about new data." That is to say, a computer uses the obtained data to obtain a certain model, and then uses this model to make predictions. This process is somewhat similar to the human learning process. For example, people can predict new problems after obtaining certain experience.
Machine Learning Materials:
6. Advanced Python
From basic grammatical content, to a lot of in-depth advanced knowledge points, to understand programming language design, after learning here, you basically understand all the knowledge points from python entry to advanced.
At this point, you can basically meet the employment requirements of the company. If you still don’t know where to find interview materials and resume templates, I have also compiled a copy for you. It can really be said to be a systematic learning route for nanny and .
But learning programming is not achieved overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can review some technical points myself. Whether you are a novice in programming or an experienced programmer who needs to be advanced, I believe that everyone can gain something from it.
It can be achieved overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can review some technical points myself. Whether you are a novice in programming or an experienced programmer who needs to be advanced, I believe that everyone can gain something from it.
Data collection
This full version of the full set of Python learning materials has been uploaded to the official CSDN. If you need it, you can click the CSDN official certification WeChat card below to get it for free ↓↓↓ [Guaranteed 100% free]
