I don’t know if you like fishing, but I will fish if I have nothing to do~
But he only fishes every day and cannot play with his mobile phone. He is bored~
So I quietly made some games using the Python I had learned before, so that I would not be bored playing fish at work.
Speaking of the programming language Python, I learned it before because my work was very tedious and I had to work overtime every day to finish it. Later, I heard from my friend who majored in computer science that he had learned a new programming language - Python, and he recommended it. I'm going to study too. Under his recommendation, I also learned Python. Later, I gradually wrote some automated scripts in Python, which greatly reduced my workload, and then I began to have a lot of time to fish.
You may have questions: What is Python?
01 About Python
Python is an object-oriented, interpreted computer programming language .
Python syntax is concise and clear , and one of its features is the mandatory use of white space as statement indentation.
Python has rich and powerful libraries . It is often nicknamed the glue language , which can easily connect various modules made in other languages.
The philosophy of Python developers is "do one thing in one way, and preferably only one way."
02 Advantages of using Python
Web crawler/crawling: Python's beautifulsoup and Scrapy are more mature and powerful . Combined with django-scrapy, we can quickly build a customized crawler management system.
Connecting to the database : Python only uses sqlachemy through ORM . One package solves various database connection problems and is widely used in production environments. Because Python supports placeholder operations , it is more convenient when splicing SQL statements.
Content management system : Based on Django , Python can quickly establish databases and background management systems through ORM.
API construction : Through Tornado , a standard network processing library, Python can also quickly implement lightweight APIs.
03 Salary
According to a report by an authoritative data research institution, China's data talent gap may reach 2 million by 2025 ; statistics from the Data Analysis Department of the China Business Council show that the gap in China's basic data analysis talents will reach 10 million+ in the future.
Let's take a look at the current recruitment requirements and salary packages for enterprise data analysts, and it doesn't disappoint.
It goes without saying that Python data analysts may be the most scarce and lucrative profession in the next five years.
04 Market Demand
Python has been extremely popular in recent years and is widely used. For example: crawlers, data analysis, scientific computing, artificial intelligence, Python can all be competent.
In Internet companies, many people like to use Python to complete office automation, form processing, data analysis and other tasks. Learning Python makes your work more efficient! Perhaps because of this universal attribute, using Python for data analysis has become more and more popular, and has become a basic skill and a necessary skill for all professionals.
McKinsey once said: "Data has penetrated into every industry and business function area today and has become an important production factor. People's mining and application of massive data heralds the arrival of a new wave of productivity growth and consumer surplus. "
If you are going through a dilemma in the workplace, if you want to gild your resume, if you want to triple your income, learning Python data analysis is a must-have.
I have compiled the Python materials for my class and uploaded them to the CSDN official. Friends in need can scan the QR code on the homepage or the QR code below to obtain it.
1. Study Outline
2. Development tools
3. Python basic materials
4. Practical data
