Many programmers who have time will take on some "private jobs" in their spare time, which is what we call side jobs!
After all, although programmers work long overtime hours, not all programmers need 997...Many career establishments or some companies do not have particularly exaggerated overtime hours. I usually take on some side jobs on weekends. While getting some small income, I can also be familiar with the code to enrich myself, and I can also improve the breadth of my ability when solving problems! It is also very good to think about it. Even many Python programmers are freelancers themselves...
Of course, if Zhihu Maimai’s annual salary is one million per capita, it seems reasonable to look down on such a small amount of money. But in my opinion, it would be nice to have some extra income!
As far as I know, many programmers have turned their side jobs into their main jobs! (The income from the sideline business is higher than that of the main business, and finally becomes a freelancer and transforms into a sideline business)
Next, let's take a look at what Python freelancing and Python-related side jobs can do!
There are many friends who want to learn Python but can't find a way. I have compiled some learning materials about Python here, from basics to entry to actual combat. Friends in need can follow and private message "01" to get free...
1. Reptiles
- One of the required courses for many people to get started with Python is web development and crawling. But if these two items want to make money, you must know what data to develop and crawl to make money. If you don't know, it's not a big problem, you can open an online store, or Zhubajie can outsource services.
- Here, we still need to find a good project. A comfortable example is: to help some securities tycoons capture some financial news or data related to public opinion. Income 3-5k. If you buy a cloud host by yourself, it will cost two to three hundred a month, and you can do other things by yourself.
2. Quantitative trading
- It is very convenient to use python to complete quantitative trading. Fangran does not involve high-frequency trading. For novices, I recommend JionQuant here. I personally think that the novice tutorial and online Python strategy development environment are relatively optimized. Quant is actually a process of data mining. Different strategies are the models you can use in your hands. Stock selection, timing, and fund management are the feature engineering you need to do. There is no need to worry about whether to use the moving average strategy or BOLL, the key is to find the stocks that are suitable for the strategy and the timing.
- If you want to pursue stable income, you can consider moving bricks in various virtual currency trading markets. Friends with weak programming skills can consider bots. Although statistical escape can also make stable profits, it is obviously not suitable for individuals. Generally, HFT support is required.
3. Ghostwriting or outsourcing
- There are a lot of ghostwriting programs on a certain treasure, which are high in quality and low in price. You can get a set of xx management system based on LAMP for a few hundred yuan. You will know from the buyer's comments that most of them are students' major assignments or It is complete.
- How much can these transfer? First of all, don't write papers for others. This is a thankless task. Basically, you will be in the stage of constantly revising the manuscript later. Generally, undergraduate projects are researched and developed by engineering. This kind of threshold is low, and there are many common codes. Basically, you can find open source ones and modify them to complete the task. There are many graduates who are partial to machine learning. It takes 1-2 days to implement an overfitting algorithm, the former is 1-2K, and the latter is 2-3K.
4. White Hat
- Python is the first language of hackers, need to say more? Let's not talk about gray products here. As long as the crawler kilometers are strong enough, it is okay to click on the reading ranking and like it. After all, they are all simulated requests, just some simple HTTP Get requests. Some are Post requests submitted through Ajax, and some are written Socket requests, and then follow the time and dependencies of different requests in the time.