Which one should I learn, python2 or python3?

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Release: 2019-06-18 11:26:18
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Many friends who are just getting started with Python are struggling with the question: Should I choose to learn python2 or python3?

Which one should I learn, python2 or python3?

##To this, the answer is: Decisive Python3!(Recommended learning: Python video tutorial)

However, there are still many novice friends who are still hesitant: Then why do some people still recommend me to learn Python2?

In fact, there are no more than the following reasons:

1. Whether it is Python or Pip, the number of downloads is 2 to 3. It can be seen that 2 is still the mainstream

wrong! There are many reasons why 2 has more downloads than 3, but one of the most important ones is that the vast majority of operating systems (Linux distributions) still install Python 2 by default. People are lazy, and many people just use 2 if they are too lazy to bother. However, it is an indisputable fact that 2 is declining and 3 is rising. Embracing the future is the way to go.

2. Python 2 and 3 are not compatible. After learning 3, you still have to learn 2

Wrong! Python provides many auxiliary libraries that allow you to write code compatible with 3 and 2 in minutes. All you have to do is introduce a few packages, and there is almost no need to modify the code. You really have to use 2 as a last resort. If you have a foundation in 3, you can get started with 2 immediately without any additional learning.

3. Many libraries are still stuck in Python 2 and cannot be used in Python 3

Wrong! The dear friend who said this, how long has it been since you paid attention to Python? I don't understand the market very well.

According to the latest statistical results of py3readiness, 345 of the top 360 most popular (most downloaded) libraries on Pip already support Python 3

Which one should I learn, python2 or python3?

Among them, only 15 (about 4%) libraries remain that do not support Python 3 yet. How persistent are you that you have to wait until 100% before using 3?

How special can your job be? Do you have to use 2 to get it? Even if you encounter such a situation, use mature tools such as virtualenv and conda to create a new 2 environment on your machine in minutes, which is perfectly compatible with 3. What else do you need to worry about?

Embrace Python 3! Life is short, I use Python 3.

For more Python-related technical articles, please visit the

Python Tutorial column to learn!

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