1. What exactly is python?
Python was designed in the early 1990s by Guido van Rossum of the Dutch Society for Mathematics and Computer Science.To put it simply, Python is a programming language! But it can provide efficient high-level data structures and simple and effective object-oriented programming. As a currently popular programming language, Python has extremely high popularity, and Python is closely related to the currently popular artificial intelligence.
2. Why do most people choose to learn Python?
Nowadays, many people choose Python as their first choice when learning programming languages. Why? Because Python is easier to learn than other languages, it is a very suitable introductory language for programming beginners.
There are several reasons:
1.Python's syntax is concise and easy to understand
2.python can be integrated with c/c++ and java for cross-platform development.
3. Python has rich and powerful library support. And it contains class libraries to solve various problems. No matter what function is implemented, there are ready-made class libraries that can be used.
4. The development efficiency of Python can be significantly improved, and the files of Python code are smaller than those of C, C++ and Java code.
5. Python language has a wide range of application fields, such as Web development, network programming, automated operation and maintenance, Linux system management, data analysis, scientific computing, artificial intelligence, and machine learning.
But Python also has obvious shortcomings. for example:
- 1. Python’s execution speed is not fast enough.
- 2. Python cannot be used for GUI applet development, and code error detection is troublesome.
However, no matter which language is perfect, there are shortcomings, big or small. However, Python has a lot of free materials for learning, and it is a language with low learning cost.
3. What can Python do?
Many people will have these questions, what can you do after learning Python? In fact, there are many things that Python can do,
such as:
1. Homemade games (Tetris, Snake, Tank Battle, etc. are all acceptable.)
If you need these game codes, just send a private message to 01 or deduct 1 a>
2. Crawler (crawl data)
Web crawler (also known as web spider, web robot, in the FOAF community, more often called web chaser), It is a program or script that automatically captures World Wide Web information according to certain rules. In layman's terms, it is to obtain the data you want on the web page through a program, that is, to automatically capture the data.
3. Operate office software such as Word and Excel
Python has many tool libraries that can perform automated office operations on office software such as excel, word, ppt, email, and pdf. For example, merge PDF files, merge Excel in batches, implement Excel pivot tables, and batch convert Word to PDF.
4. Automatically send and receive mail
SMTP Simple Mail Transfer Protocol, which can transmit mail across the network, can realize mail transmission between the same network processing processes, and can also pass through relays Or the gateway implements mail transmission between the process and other networks. And Python's smtplib module encapsulates SMTP, so you can use Python to easily send emails.
5. Drawing whiteboards
Creating dynamic page animations through code can virtually demonstrate your skills. And the cheapest rose is 20 yuan, while coding is free! I understand everything!
6. Homemade interesting gadgets
In fact, Python can realize many automated operations, such as WeChat automatic reply and the detection of people who have deleted their WeChat. In general, you can do a lot of things by learning Python, and they are very simple, and the code is less than other languages!
What jobs can I get if I learn Python?
Generally, our learning is conditional and purposeful. For example, after we learn Python, will it bring us good employment opportunities? There is actually no need to worry about this, because there are actually quite a lot of Python jobs!
1. Reptile.
2. Data analyst.
3. Web back-end development engineer
4. Machine learning.
5. Games, images, XML, robots, etc.
In general, if you learn Python well, your future development will be good, and the remuneration for each position is very good. Even if your academic qualifications are not high, it can still bring you an ideal salary. At the same time, it will also bring you more employment directions. So Python is like a springboard. If you use it well, you can jump very high.
How to learn Python?
Although Python is a relatively simple programming language, it is also somewhat difficult. Therefore, if you decide to learn Python from the beginning, you must study it systematically.
Learning Python can be divided into several steps:
1. Learn and understand basic knowledge.
For example, basic syntax, data types, control structures, functions and classes, file processing, network programming, and concurrent programming.
2. Practical application of learned knowledge.
Carry out web development, data analysis, machine learning, etc., that is, write code and implement the functions of the written code.
3. Consolidation and understanding of learned knowledge.
Repeated learning and consolidation, you can take on some outsourcing tasks, and consolidate your knowledge and abilities while working part-time.
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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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