foreword
What side jobs can Python do?
1. Part-time data processing Although Excel is very powerful in organizing data, it has also been defeated in the face of Python, which once ruled the workplace. Because Python is more convenient in the process of collecting data, organizing and analyzing data, and automatic operation can be realized with a few lines of code.
If you learn Python, you can find some part-time jobs online to filter and summarize data to make a little money. 2. Part-time query information After learning Python, it is easy to crawl various resources on the Internet with a few lines of code.
There are many jobs at present, and some part-time jobs for consulting and summarizing data will be recruited. Xiaobai who has learned Python can use his spare time to help individuals or some companies to collect and organize data through Python, and can also earn a small amount of money to enrich their lives.
3. Part-time P pictures can use relevant codes to process pictures in batches through Python. Whether it is zooming, rotating, mirroring, cropping, grayscale, adding text, etc., they can all be obtained with the help of Python, and there is no need to take pictures one by one. Go to the P map.
[----Help Python learning, all the following learning materials are free at the end of the article! ----】
If you learn Python to make P pictures, you can usually cooperate with some photo studios to help them process a large number of pictures.
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What side jobs can Python do?
There are many side jobs that you can do after learning Python. The simplest and most extensive one is to use crawlers to make money. Can typescript access local data?
How do Python crawlers make money? There are three methods: 1. Python crawler outsourcing projects: If you want to make money through web crawlers, crawler outsourcing projects are a very good way.
Do small and medium-scale crawler projects to provide Party A with services such as data capture, structuring, and cleaning. For novices who have just learned Python, this is a very worthwhile project. You can make money through our technology, and also You can accumulate project experience, but in terms of price, it is not so ideal.
2. Integrate information and data to make products: You can use Python crawler technology to capture some scattered data, and then integrate it on websites or WeChat to sell to earn money.
3. We-media account operation: more and more people are doing we-media and technical blogs by themselves, and the demand for crawlers is also increasing. We can provide these people with technology to help us accumulate experience, and we can also operate it ourselves , Write some tutorials and experience summaries to make money.
What part-time jobs can you learn Python well?
Part-time jobs that you can do after learning python: 1. Crawlers First of all, in addition to the basics of Python grammar, the required courses are web development and crawlers. If you want to rely on these two directions to make money, you must clearly know what to develop or what data to crawl to make money.
If you don't know, you can open an online store, or go to Zhubajie to outsource services. Whether it is web development or crawlers, you need to find a good project. The best thing is to help some securities personnel catch some financial news or data related to public opinion.
After the development of this content, as long as there are no problems, basically there is no problem with a monthly income of 3-5k. You need to buy a cloud host yourself, and the monthly cost is about 200-300.
2. Quantitative trading It is very convenient to use Python to complete quantitative trading, but the content will be more difficult for novices. First explain what quantitative trading is, that is, a process of data mining.
The difference is that you can use the models available in your hands to select stocks, select time, and fund management is the feature engineering we need to do. If you want to pursue stable returns in quantitative transactions, you can consider moving around in various virtual currency trading markets.
3. If you write programs on behalf of others or outsource a lot of metabolism programs on e-commerce platforms, you can get the LAMP management system for a few hundred yuan, but this kind of work is basically done by college students. First of all, a complete project is a complete project, don't write papers for others.
Because the manuscript has to be revised in the later stage of the thesis, the completion of the undergraduate course is all research and development, and the threshold for this type of work is relatively low. There are many common codes and many templates.
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. Get all the information for 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 dimensions and different granularities for 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
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Understand the prospect of python: https://blog.csdn.net/SpringJavaMyBatis/article/details/127194835
Learn about python's part-time sideline: https://blog.csdn.net/SpringJavaMyBatis/article/details/127196603