Where is the best Python training?

So in order to avoid this situation, we can refer to the following screening methods to choose the training institution that suits us.

First, look at the brand, reputation and history of training institutions.

With the popularity of Python, many new Python training institutions have emerged. Most of these training institutions have emerged in response to market demand, lacking training experience accumulation and historical precipitation. The brand and reputation of training institutions are very important, which is the primary guarantee for students.

Second, it depends on the level of the speaker.

The choice of Python trainers is something that you must carefully analyze. Sufficient work experience and sufficient teaching experience are both essential and indispensable.

In order to save costs, many black-hearted training schools hire novice Python developers as lecturers at low prices, or let lecturers from other disciplines learn Python as lecturers, regardless of whether students can effectively master Python development skills, thus delaying the future of countless students.

Third, environment and atmosphere are very important.

When choosing a training course, you can't simply think that "expensive is good". Maybe everyone knows the story of "Three Major Movements in Meng Mu". Moreover, the environment can make a person or destroy a person. It can be seen that the environment has a great influence on everyone's Python learning.

Besides, if you don't have a good learning atmosphere, are you still in the mood to study? In addition, you can also ask Python training institutions to provide audition opportunities.

Fourth, it depends on whether there are practical opportunities.

If you have attended Python training institutions, but only know the theory but not the actual operation, which company will use you? Therefore, practical projects are particularly important for students.

Also, actual projects must be developed according to the needs of enterprises. Learning Python technology, no matter how good, is useless if it is outdated or even eliminated.

5. Know your own needs and don't be influenced by the price.

Before choosing a training institution, students must think clearly whether the course is suitable for them, whether the teacher's experience can meet the needs of career development or enterprise solutions ... think clearly actively instead of sitting passively.

When choosing a training institution, don't be influenced by the training cost. Expensive is not necessarily good, and relatively cheap is not necessarily bad. The key is whether it meets your own needs.

In addition, the subject also mentioned: I don't know what * boy and *cto are like, and I don't know if they are the same. I just want to say that you must go on a field trip and try it for a week or two.

Only in this way can you know the learning atmosphere of the organization, whether the teachers are serious and responsible, and really know whether you are suitable for Python.

Some training institutions only pay attention to temporary interests, the teaching quality is poor, and the phenomenon of "one hammer transaction" is serious. There are also some Python training institutions that have no standardized teaching materials and teaching methods, no regular teachers, and no training courses that meet the mainstream of the market. It has disrupted the market order and greatly affected the healthy development of the training industry.

Here, I'll tell you one more thing: As the saying goes, "The master leads the way, and the practice depends on the individual", so if you don't spend time and refuse to study hard, even the best Python training institution can't guarantee that you will find a good job.