Why do the same intern bosses prefer the other one?
Because they know python!
As an essential tool that can kill excel in seconds
Where does python win?
01, excel has been replaced by python
In everyone's impression, if you want to enter the financial industry or data position, you must first be proficient in Excel. However, Matthew Hampson, deputy chief digital officer of Nomura Securities, made a speech before: "Now that there are fewer and fewer people entering the trading floor, using Excel, everyone is typing Python code."
Even directly said: "Excel has been replaced by Python."
Now when writing recruitment requirements for many positions, after "proficient in Excel", there will be a sentence "Python programming experience is preferred".
This means to tell you: No matter how good your Excel is, you are not as good at typing Python! Yes, in the past HR interviews would ask "How well are you proficient in Excel", but now they ask more "Do you know Python?"
02. What's so good about python?
Large demand and wide use
The number of professional and technical personnel vacancies in the AI field exceeds 5 million! With the continuous upgrading of technical requirements, the demand for skills in the most general programming language Python has increased by as much as 174%!
Projects such as Google earth, Google crawler, and Google ads are also using Python to develop extensively. Many Internet companies, including Instagram, Reddit, Douban, Pinterest, and Zhihu, use Python as their main programming language.
Of course, Python can not only be engaged in AI-related work, data analysis, crawling, web development and many other positions are also necessary for large companies! So far, whether it is in first-tier or second-tier cities, demand for jobs exceeds supply.
High salary
Some organizations have crawled Python jobs across the country, and finally found that the highest salary for Python is in first-tier cities, with an average monthly salary of up to 25K!
Easy to use
Python's syntax should be better than Java, simple and beautiful, and there are many libraries.
For example, a program requires 1000 lines of code in C language, 100 lines of code in Java, but 20 lines of code in Python. Simple and easy to use is the advantage of Python, because many novice programmers will like to write a little code to complete a project. Regarding static variables and dynamic variables, Java needs a strongly typed language and a rigorous compiler to detect the code.
If you learn Python by hand, the cost and difficulty of learning Python are much lower, which is why the language of choice for programmers' entry-level transformation is Python.
03, all industries are inseparable from python
financial
In 2018, foreign media reported that about 1/3 of the analysts and employees of JPMorgan Chase Group were forced to participate in the programming course study plan! Moreover, the 18-year joined JP Morgan Asset Management analyst of all mandatory learning Python.
Fund investment managers need to view a large number of stock quotations and company reports every day for strategic analysis, and manually update data on Excel every day. Python can use cross-sectional data and time series data to complete dynamic analysis and automatically update data anytime and anywhere.
advisory
Consultants often need to obtain comparative analysis on the internal data of client companies from the industry level. In addition to allowing interns to manually download research reports and "copy" data into Excel, they can directly import annual reports as long as they obtain the API interface of the authoritative platform , Research reports and other data, leaving more time and manpower to formulate strategies.
FMCG retail
Take Wal-Mart as an example. The national procurement inventory data is centrally managed at the headquarters. Data collection and management of hundreds of thousands of suppliers cannot be done by Excel, while languages such as Python can run smoothly and quickly. You can also use Tableau to collect and manage data. Pull out a beautiful dashboard in seconds, the picture + table perfectly show the results of your work to the superior.
data analysis
Data analysis (DA) specialization lies in data mining and data analysis, which is connected with the current Internet and big data, mainly through the use of advanced technologies, models and algorithms for data mining and business analysis, serving IT and the Internet , Games, communications, finance, medicine, consulting, retail and other industries. If you want to enter a big company and do DA, Python, Excel, and SQL are all necessary items.
04. How does Xiaobai get started with python?
Entry stage
Read Codecademy's Python online guide to get familiar with Python syntax.
Initial stage
At this stage, you need some advanced tutorials or editing books, or solve some challenging programming problems.
Advanced stage
Start creating your own project and join the open source community Github, these are the only ways to program. This is especially true for languages like Python, where the developer community is growing at an alarming rate, with new libraries and projects being updated quickly every day.
What you also need is the Python learning exchange group , welcome all friends to exchange and learn