foreword
Whether it is for the purpose of interest or career change , [Why learn Python] must become [Goal-oriented] .
Python can do too much. For example, I just want to write a crawler script and I want to do quantitative trading simulation investment, and the learning focus is biased. Only by knowing your own direction can you know what the current learning focus is.
1. How to get started quickly with Python
First of all, we need to know how to learn more about Python:
2. Learning content at the introductory stage of Python:
Simple steps for Python learning: find the target —> understand Python —> know variables/algorithms/interpreters —> data types —> lists and tuples —> strings —> dictionaries —> loops —> object-oriented —> project combat;
| content | knowledge points |
|---|---|
| Principles of computer composition | Computer components, operating system classification, B/S and C/S architecture, understanding the difference between software and hardware |
| Python variables and development environment | Strings, numbers, dictionaries, lists, tuples, etc. |
| flow control statement | The execution order of the program, sequential execution, cyclic execution, selective execution |
| function | Define functions, call functions, nesting of functions, recursive functions |
| Basic operation of files | File opening, editing, closing |
| Object-Oriented Programming | class object, instance object, defining class, instantiating object |
| exception handling | Learn to catch exceptions, custom exceptions |
| Modules and Packages | Understand the concept of modules and packages and learn to use them |
| Plane war game production | Complete the Airplane Wars game by yourself |
This is all the learning content of the basics of Python. The standard answer to test the learning results is to do a small project by yourself.
Self-study on Python
Finally, I will introduce a complete python learning route, from entry to advanced, including mind maps, classic books, and supporting videos, to help those who want to learn python and data analysis!
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.
Include:
Computer Basics
python basics
Python introductory video 600 episodes:
Watching zero-based learning videos is the quickest and most effective way to learn. Following the teacher's ideas in the video, it is 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]
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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