Worried about learning Python? Master Python in seven days

What are the advantages of Python?

In the era of big data, more and more people are beginning to apply python to the field of data analysis, because pyhton has its unique advantages in table operation and data visualization, which are mainly reflected in the following three aspects;

One is to get started quickly

Python is too friendly to novices, even if you learn programming for a few days, reading Python code can be as smooth as reading an article;

Second, the tool library is very rich

Take data analysis as an example. Take the Python visualization must-know basic library matplotlib as an example. His official gallery alone has 26 categories and 527 styles. Both quantity and quality can crush most of the same functional software on the market.

The third is to facilitate data processing

You can use python crawler to get data, you can also use padans, numpy library to process data, which is convenient and fast.

What does Python have to learn to put it into practice?

Python applications can be subdivided into more than a dozen directions and hundreds of different types of work.

When a high-rise building rises on the ground, wherever work is good, it must first be good. A firm grasp of the application of Python must have the following skills:

A programming foundation of Python

Python is first of all a programming language, and it is very necessary to master the basic programming of Python. Is also a specific application practice

Two data analysis

Data analysis generally includes the following steps

1. Ask questions-the indicators we want to know (average consumption, age distribution of customers, trend of turnover, etc.)

2. Import data-import the original data source into Jupyter Notebook (web crawler, data reading, etc.)

3. Data cleaning-Data cleaning refers to discovering and correcting identifiable errors in data files (checking data consistency, handling invalid and missing values, etc.)

4. Model building (advanced model building will use machine learning algorithms)

5. Data visualization-matplotib library, etc.

Three project actual combat

Practice is the only criterion for testing truth. After learning Python, friends who have mastered a certain Python foundation all hope to test their learning results through actual projects and exercise and improve their programming skills.

By participating in actual project combat, you can significantly improve your programming ability

Four reptiles

Speaking of Python, it is inevitable to talk about crawlers, and crawlers must first understand its principles.

The principle of crawler:

1. Initiate a request: send a request (a request) to the target site through the HTTP protocol, and then wait for the target site server to respond.

2. Get response content: If the server can respond normally, it will get a Response. The content of Response is the content of the page to be obtained. The corresponding content may include HTML, Json string, binary data (such as pictures and videos), and so on.

3. Parse the content: The content obtained may be HTML, which can be parsed with regular expressions or web page parsing libraries; it may be Json, which can be directly converted to Json object analysis; it may be binary data, which can be saved or further processed.

4. Save the data: After the data analysis is completed, it will be saved. It can be saved as a text document or in a database.

How to learn Python

You can find a lot of Python learning materials if you just search the Internet. Free, cheap, it can be said to have everything. The author is not here to say that these materials are undesirable, but for Python beginners and beginners, these materials are basically mixed, and it is difficult to extract the essence and discard the dross.

There are three key core points:

First: Interest is the best teacher.

Because of interest, you have enough energy and time to learn Python, and finally apply it to practice and work life.

Second: the way you learn.

Everyone's acceptance of new knowledge is different. Some people are accustomed to reading text learning, so PDF materials, e-books, and physical books will be your tools for learning and improving. Some people are more receptive to audio and video, so teaching videos and material videos will greatly improve your learning. If you are interested in Python, you can add my WeChat: abb436574, and receive a set of learning materials and video courses for free~
 

Third: Persevere more and think more.

The reason for putting this together is because of the order. Many people want to learn Python to make their office easier, and it is easy to fall into the vicious circle of fishing for three days and drying the net for two days. What's more, it hurts when I see the code. As the saying goes, it is a mountain of Jiuren, which falls short.

Think more. Learning without thinking means nothing, thinking without learning means nothing. The most convenient way to progress is to watch and learn while thinking while doing it.

Guess you like

Origin blog.csdn.net/weixin_45820912/article/details/108282992