I'm not very educated, but only have two years of work experience related to technology and Python. Today I would like to share with you the story of my career change, hoping to encourage those friends who are like me to move forward together.
Later, I will talk about my personal experience and entry story, personal technical achievements, my work focus in the first half and second half of 2021, discuss how to learn quickly, and finally recommend some learning resources.
01: Personal introduction and experience
My name is Hu Anyang, I am a Python data analyst, and I am also learning Rust language. I don't have a big factory resume, and I don't have much IT work experience.
I like to share knowledge with people around me in the form of articles. Before, I wasn't an analyst, and my work wasn't even technology-related.
When I was in high school, I didn't study hard, and I didn't get into a good university, which caused me to run into walls after graduation. After graduation, I followed the advice of my family and worked as an apprentice in a local auto repair shop. Repairing a car was hard, dirty and tiring. At that time, the salary was not high, and the apprentice had to wash the car in the winter.
In addition, I am not very interested in auto repair, and then I began to plan my cross-industry plan. This kick went directly to the Internet.
Since there was no computer foundation at that time, I took a lot of detours. I searched for some tutorials on the Internet, and I found it to be a mess.
The learning progress has been stagnant. Later, I saw a training class on the Internet, and the effect was not bad. I have organized some of the materials I have learned before, as well as some learning paths and study notes. Compared with the free online textbooks, they are more comprehensive and systematic.
Students who need it can leave a message in the comment area or privately message me, hoping to save some time and cost of screening learning materials. I have encountered one time that the information looked good at the beginning, but it was incomplete at the end, which was a waste of mood.
During that time, I also met some incumbents in data analysis positions in the study group, who were young. He suggested that I do data analysis.
Then I entered an Internet company for data analysis, and my monthly salary was also increased from the original 4k to 12k {representing my personal income only}. A better environment and higher salary made me yearn for future advanced studies.
Here are some of my learning guidelines for you:
1. I found that many people who learn Python don't understand one thing, that is, when we do something, we first figure out what it is and how to do it. Just like some people write code to make programs, they just need to do it directly, without thinking about ideas and details at all. If you can get every detail in place, writing code is really easy. So beginners must know what they are learning, instead of blindly learning as a whole and wasting time.
2. Systematic study planning. Learning Python is a step-by-step process. It is not a matter of learning for a while today and a little more tomorrow. If you fail to learn, the final result will be a waste of time and life. This is the way you have come. ,Experience.
This is a study plan I was studying at the time.
3. There is someone to guide you. Don’t be self-righteous and think that you are very talented when learning Python. As long as you work hard, you will be successful. There are many things that our existing IQ can’t satisfy. Therefore, when learning Python, someone must help you solve some small problems. Many problems cannot be solved by themselves, and even solving them is a waste of time, so I gathered everyone together and hoped to help everyone who wants to learn to change themselves.
4. You only need a set of systematic learning tutorials. There are not many learning materials. You may not read it no matter how much. It is useless. You can finish it patiently and learn every day. You can download it yourself.
5. Learning methods, learning Python requires a learning method that avoids detours. If the learning method is not right, then how to learn is a waste of time. Go to the people who come to ask for advice, and the collision of exchanges can make you take a lot of detours. If No one can ask, you can ask me at any time. When I am not busy with work, I will solve the problem for everyone in the group.
Conclusion: Learning is ultimately your own business, no matter where you learn it, it’s the same as your own. In the end, it’s up to you how you treat it in your heart. Someone will help you quickly, but everything else is an assistance. No matter how good the conditions are, you can’t learn. Well, there are good ones learned in harsh environments. If you want to go a long way in Python, you must love technology and the Internet.
If you have any ideological and learning questions about changing careers to learn Python, you can ask me at any time. I just hope that you will take less detours and tell you the industry knowledge I know, so that more people can stick to it.
The following is the collection and sorting I spent three months, and finally completed this set of Python zero-based learning resources. If you are preparing to learn Python by yourself or are learning, these should be useful:
- ① Python learning roadmap in all directions, clear what to learn in each direction
- ② More than 100 Python course videos, covering essential basics, crawler and data analysis
- ③ More than 100 Python practical cases, learning is no longer just theory
- ④ Huawei produces an exclusive Python comic tutorial, which can also be learned on mobile phones
- ⑤ The real Python interview questions of Internet companies over the years are very convenient to review
These materials, I have uploaded to the official CSDN, friends who need it can scan the official QR code of the CSDN below to get it for free
