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Preface
However, if you want to make money by taking orders through Python and then work in the development industry, then what I can tell you is that there are still a lot of things, technologies, and content you need to learn. I will briefly describe it below. Let me talk to you about the learning route of Python. Let’s talk about it briefly here.
The first stage of Python learning: Python basics
When we learn any technology or programming language, we must start from scratch, and we are no exception. To learn Python, we must also start from the basics of Python, but we must pay attention to one thing, do not underestimate the basics, because the basics There are many key points in it, such as: object-oriented, data types, control flow, functions, classes and many other knowledge points. If you don't have a solid foundation and want to learn deeper technologies, I can only say that it is impossible.
The second stage of Python learning: Linux and database
This stage is about learning Linux and databases. Don’t think that Linux and databases are not important. Projects that will make money after taking orders will definitely be inseparable from these two. For example, there are three databases, MySql, Redis, and MongoDB databases. , these are essential for us to make money after receiving orders and find employment in development work.
The third stage of Python learning: Web front-end website development
We want to become "full-stack development engineers". It is definitely not possible to only know the backend. And if you want to take orders and make money while learning, then this is the best choice. Generally, it takes two to three months to finish learning the previous knowledge and front-end. Then after finishing the front-end, you can start taking some Practicing small orders can also subsidize the family income, so why not do it? Moreover, after completing this stage, you can directly work as a Web front-end development engineer, and the salary is also considerable.
The fourth stage of Python learning: Python crawler and anti-crawling
Some students may simply think that if they want to take orders and make money for projects, they only need to learn crawling. But let me tell you, it is not the case. We also have to learn anti-crawling. The knowledge points of anti-crawling are relatively difficult. There is no If you study systematically, you can only stay at this stage.
And after completing the course, you can not only simply take orders and make money, but also work in the Python development industry. The talent market gap for Python development is quite large, so the salary is much higher than that of other languages.
Python programming is actually a whole new world. Learning Python is equivalent to opening up a new programming world. If you want to learn in depth, you must have time and energy. This is a step-by-step process. Through learning, you accumulate knowledge and store it. You also need to have a lot of practical experience and solve various problems, so that you can be proficient in all aspects of Python.
Friends, come on, your efforts now will be rewarded in two or three months not only with knowledge, but also with material rewards (projects that make money by taking orders). Let me tell you secretly, you can also write for completed order projects. Add project experience to your interview resume and kill two birds with one stone. Come on, friends! ! !
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 first learn them. Anything high-end is built on a primitive foundation. By laying a good foundation, the road ahead will be more stable.All information is available for free at the end of the article！！！
Include:
Computer Basics
python basics
Python introductory video episode 600:
Watch zero-based learning videos. Watching videos is the fastest and most effective way to learn. It is easy to get started by following the teacher's ideas in the video, from basic to in-depth.
2. Python crawler
As a popular direction, crawlers are a good choice whether you use them part-time or as an auxiliary skill to improve work efficiency.
Through crawler technology, relevant content can be collected, analyzed and selected to get the information we really need.
This information collection, analysis and integration work can be applied to a very wide range of areas. 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 information
3. Data analysis
The "Digital Transformation of China's Economy: Talent and Employment" report released by Tsinghua University School of Economics and Management shows that the data analysis talent gap is expected to reach 2.3 million in 2025.
With such a huge talent gap, data analysis is like a vast blue ocean! 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 integrated 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 comply with the rules) and transform the table (perform different dimensions and granularity on the table according to business needs) degree, different business rules calculation and statistics), T=load the processed table to the data warehouse in increments, full quantities, and different times.
5. Machine Learning
Machine learning is to learn from a part of the computer data, and then predict and judge other data.
The core of machine learning is "using algorithms to parse data, learn from it, and then make decisions or predictions about new data." That is to say, the computer uses the data obtained to derive a certain model, and then uses this model to make predictions. This process is somewhat similar to the human learning process. For example, after a person acquires certain experience, he or she can predict new problems.
Machine learning materials:
6. Advanced Python
From basic syntax content to many in-depth advanced knowledge points and understanding of programming language design, after studying here, you will basically understand all the knowledge points from entry to advanced python.
At this point, you can basically meet the company's employment requirements. If you still don't know where to find interview materials and resume templates, I have compiled one here for you. It can really be said to be a systematic learning route for nannies and caregivers. .
But learning programming does not happen overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can also review some technical points myself. Whether you are a newbie in programming or an experienced programmer who needs to advance, I believe everyone can gain something from it.
It doesn’t happen overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can also review some technical points myself. Whether you are a newbie in programming or an experienced programmer who needs to advance, I believe everyone can gain something from it.
Data collection
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