Before you start learning Python, you should plan your course of study. After all, Python has many directions, such as:
Web development crawler automation development (operation and maintenance, testing), script development Big data (data mining, data analysis) artificial intelligence, machine learning Zero foundation Don’t know how to learn Python? Take three minutes to have a look at this article Choose your own direction after, according to a study content to continue in this direction because if you don’t have a direction, see others do a crawler today feel very interesting, and then look at the crawler aspects of knowledge, if you see others do a nice blog, and then go to the web development aspects of knowledge, So learn a little east, learn a little west, the learning effect is certainly not good!
Learning Python is now divided into two main categories: self-taught and trained
Both self-study and training have their own advantages and disadvantages. Many self-taught programmers “look down on” trained programmers, but often some trained programmers find employment earlier than the self-taught. Xiaobian feel that as long as it is possible to let yourself learn things are good, whether you learn by yourself or training, the main thing is to rely on your own efforts and persistence.
Zero basics don’t know how to learn Python? Take three minutes to read this article
Advantages:
1, exercise self-control and perseverance;
2, save a training fee;
3, no constraints, more casual;
Learning failure is just a waste of time, no loss of money;
Learning more active;
If you can’t learn, you can brake in time.
Disadvantages:
1. Not sure about the knowledge point and direction of the next step;
2, learning slowly, seems to save tuition, but actually waste a lot of time cost;
3, do not know how to search, ask questions;
No constraints, can’t insist on;
5. No friends to study with;
Attention is often distracted, can not calm down to learn;
No actual combat experience, also do not know how to combat;
8. Insufficient theoretical knowledge is not conducive to long-term development;
It is difficult to find an ideal job, enterprises value project experience very much.
How to teach yourself?
1. Copy, think, write, ask, look, listen and speak more.
2. Learn to use Google and Baidu;
3. Join the open source community (see more, share more, communicate more);
4, record their own learning notes, review the old to learn new, in learning new knowledge at the same time also want to consolidate the review of the previous knowledge
Although there is a lot of information on the Internet, it is a blank sheet of paper for beginners, and they do not know how to choose, which will lead to a lot of detours.
If you need to learn Python, you can check out the website of Xiaobian and get the materials prepared for beginners. I hope it will help you.
If you really stick to it, it is very helpful for the future. Xiaobian suggests that if you want to choose self-study, first of all, you must have enough time and energy, or it will not succeed.
Zero basics don’t know how to learn Python? Take three minutes to read this article
Advantages:
1. Solved most questions and problems in the learning process;
2. Filter out useless technical information;
3. Professional team planning and learning;
4, more learning atmosphere, higher learning efficiency;
5, more employment security, can be hired after learning;
6, practical experience + theoretical knowledge double guarantee.
Disadvantages:
1, the cost is more expensive;
2, uneven institutions;
3. Limited time and great efforts are required during the study period.
4, some students can guarantee employment by virtue of institutions, study hard degree is insufficient.
Although IT is said that learning with a teacher can save you many detours compared with self-study, IT is still of no use for master to teach you the best learning methods if you do not work hard enough and cannot persist.
conclusion
Whether it is self-study or training, the final or their own efforts and persistence!
Finally, xiaobian says: what is important is to insist, to insist, difficult to insist!