Now it seems that out of ten college students, nine are going to do research. Computer Level 2, Putonghua, Tea Art Teacher...
It seems that everyone is holding the mentality of "multiple certificates and multiple paths" to obtain certificates, but the hard work and hardships may not be meaningful.
After all, a certificate can only represent that your professional ability is passed , not all, and the current corporate signboard needs talents in many aspects.
Then what we need to do is to improve our competitiveness in the workplace .
Because compared with academic experience, the company values more how much value you can create for the team when you come in ! "
After listening, I have to feel that Python is really suitable for many ordinary college students to enter the career track.
If you have carefully studied the recruitment of JDs in major factories this year, you will find that Python is like a brick, and you have to move it to any position !
Many non-technical positions in large factories will directly state "priority for those who can recruit people who can speak Python" . ——Office automation, efficient work .
Using tools to improve efficiency can save a lot of time and focus on core business . In the workplace, we will inevitably encounter some tasks that require repetitive labor, such as:
report processing
file batch processing
Automated Operations Monitoring
data analysis
……
As a workplace efficiency tool , Python can be used to solve the above problems. Only by getting rid of chores and focusing your time on business can you highlight your true value.
More importantly, the salary and promotion channels for possessing this skill are also considerable .
Not to mention that a new wave of AI is currently being set off , with strong support from national policies, and major colleges and universities have also opened artificial intelligence majors one after another .
Coupled with the booming Internet industry with a very high job search rate , it has had a huge impact on many human jobs.
Many people cannot find jobs, and many people's jobs are being replaced by AI .
Python plays an extremely important role in the AI era . As an efficient, flexible and easy-to-use programming language, Python has many advantages in data processing and analysis.
This is why Python has become one of the necessary skills in the workplace.
In fact, the application of Python in information collection and data analysis has become very common.
Why do companies attach so much importance to data analysis ? Now, more and more companies are focusing on data-driven and speaking with data. This is because by refining complex data, the key points can be presented more intuitively and clearly before our eyes.
McKinsey once said: "Data has penetrated into every industry and business function area today and has become an important factor of production. People's mining and application of massive data heralds the arrival of a new wave of productivity growth and consumer surplus. "
There are many people who "find it difficult to learn programming when they hear it. Do they have to have a foundation in mathematics or computers?
I have watched online videos and bought books, but in the end I gave up halfway. Can I finish the online courses?
I am usually too busy and have no fixed time to study. Can I control the study progress and time by myself? "
If we want to learn for a long time, we can choose something that is simpler, does not take too much time, and can be combined with work.
From this point of view, Python is perfect, because it is the easiest to use among all computer languages, which can greatly shorten the tedious and repetitive work time!
For half an hour a day, learn skills that will give you an edge over your competition. The opportunities of the times always favor those who are willing to take the initiative to embrace change. And the opportunity is right in front of us.
I have also sorted out some Python materials and uploaded them to the official CSDN. Friends in need can scan the QR code below to get them.
1. Study Outline
2. Development tools
3. Python Basic Materials
4. Actual Combat Data
