foreword
Mastering a skill in a short time is the demand of modern society. The pace of life is getting faster and faster. It is not an era where big fish eat small fish, but fast fish eat slow fish. Human time is more valuable than machine time. As a lightweight programming language, Python is sought after by many because of its concise language and quick development without so many skills.
Nowadays, Python is becoming more and more popular, and has repeatedly surpassed Java and C++ to become the number one language in the programming language rankings. Domestic companies and programmers are more and more fond of using Python.
[----Help Python learning, all the following learning materials are free at the end of the article! ----】
Why does the new king Python get this status, and what can Python do?
the reason is simple! Wide range of applications:
Full-stack development, web crawler, data mining, artificial intelligence, web development, system network operation and maintenance, data analysis and calculation, graphics program development, etc.
From a large company perspective:
There are many successful cases of Python-based startups in China. Douban, Zhihu, Guoke, and the whole stack are all Python. Everyone naturally has confidence in Python. And programmers and CTOs from these companies will generally choose Python if they start a business, and the snowball will definitely get bigger and bigger.
From a small company perspective:
Now there are more and more start-up companies, using Python to produce projects quickly, the development cost is small, and the number of employees hired can also be kept within a controllable range.
From a developer's point of view:
Computer language is just a tool to achieve the goal (laziness). We just hope that through simple input, let the program perform some boring and tedious work instead of us. We don't care about whether the sentence structure is beautiful, whether the efficiency is different, or whether it can reflect the intelligence of the user. Here's what I'm looking at:
Improve personal coding efficiency by at least 3 times;
Various powerful third-party libraries can be used;
The sentences are concise and even Xiaobai can understand.
Also displaying Hello World, Python is more similar to the expression of natural language (English)
Now, with Python's "inside battery", you can do things that required repeated reinvention of the wheel and were not so good. The language of Python has greatly liberated programmers' time and allowed programmers to have more output in the "lonely" nights.
Even so, Python still has a knowing blow: it can be easily integrated with C. This combination completely solves your worries: first use Python to quickly develop and build product prototypes, and then find out performance bottlenecks for targeted optimization. As the so-called good steel is used wisely, Python not only saves time, saves costs, reduces risks, but also improves the quality of life of programmers to some extent.
So before learning Python, let's give you a popular science on how to read Python.
Do you know how to read in Python?
Most people around us call it "Payson", including many workers in the IT industry. But if you have paid attention to Python lectures or conferences abroad, you will find that many Americans are used to calling it "Python". In fact, the word "Python" has two pronunciations. The English pronunciation is closer to the Chinese character "Python", while the American pronunciation is closer to the pronunciation of "Python". The picture below is the explanation of the dictionary.
Back to the story! Latest python tutorials in 2023
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
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]
Good article recommendation
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