Why do I strongly demand that I know Python for a software testing post with an annual salary of 30K?

Foreword:

Recently, a friend asked me such a question: "I want to apply for a good job, but the company requires at least one programming language. Doesn’t it mean that software testing does not require programming? Why do I look at other companies besides Java and Python? It often appears too? What's the matter?"

text:
Why do I strongly demand that I know Python for a software testing post with an annual salary of 30K?

↑↑Recruitment screenshots attached to the chat history↑↑
Why do I strongly demand that I know Python for a software testing post with an annual salary of 30K?

First of all, from the screenshots, this should be a lao or niao position that requires at least 4 years of experience.

Why do I strongly demand that I know Python for a software testing post with an annual salary of 30K?
Secondly, for most novices who are new to the testing industry, they do not know programming languages ​​and will not become a stumbling block in the job search. But if you can understand a programming language, it will undoubtedly become a great bonus on the job search.

The so-called "people are better without me" is the truth.
Why do I strongly demand that I know Python for a software testing post with an annual salary of 30K?
↑↑"Test novice requirements" from a certain company on a recruitment website↑↑

Why Python?

What does it mean for testers?

As a mature scripting language, Python has developed rapidly, and in recent years it has even faintly competed with the big brother of Java. Moreover, compared to other languages, it is easier to get started, simpler to learn, and highly viscous with other languages, and can be applied to various platforms and environments.

According to the TIOBE April programming language rankings in 2019, Python still ranks fourth.
Why do I strongly demand that I know Python for a software testing post with an annual salary of 30K?
The TIOBE Programming Community index is an indicator of the popularity of programming languages. The list is updated once a month. The index is based on global technical engineers, The number of courses and third-party vendors. Including popular search engines such as Google, Bing, Yahoo, Wikipedia, Amazon, YouTube and Baidu are used for index calculations.

More importantly, for software test engineers, Python is very suitable for writing automated test scripts. Automated testing can replace traditional manual testing to a certain extent, improve test coverage within a certain period of time, and improve test efficiency.

If you want to complete the overall deployment of automated testing in your company, then Python can help you easily achieve:

1.UI automated testing (Python+Selenium, etc.)

  1. Interface testing (Python requests, etc.)
  2. Performance testing (Python Locust, etc.)
  3. Security test (PythonScapy, etc.)
    5. Compatibility test (Python+Selenium, etc.)

Imagine, when others are still struggling a little bit, busy, working overtime, you can eat hot pot and sing songs and make money while standing...

How would you feel in your heart?
How does the boss feel about you?
Why do I strongly demand that I know Python for a software testing post with an annual salary of 30K?
On the other hand, from the perspective of the overall industry trend, the technical level of the industry is also constantly improving. If you want to steadily develop in the industry for a long time, keep up with the beat, and improve yourself a little bit is the right way to survive in the workplace.

Therefore, whether you look at the benefits of a short-term job search or a long-term career plan, mastering Python is a solid business for testers. From automated testing to the transition to a test development position, none of them can do without its blessing. Salary raises and promotions, transformation and upgrading, are even more of a matter of course.
So, where can I learn such a good programming language?

For many small partners who are already engaged in software testing, it is undoubtedly the most common and efficient way to learn Python based on actual work scenarios.

However, for those students who have not yet switched careers and lack relevant foundations, whether due to limitations in their professional background or weak technical foundations, it is difficult to quickly enter the learning state. It is critical to find the most efficient learning path.

Written at the end:

We always like to "go with the flow" to perfuse the thorns and bumps of life, but we rarely admit that true going with the flow is actually doing everything we can to not force, rather than inaction.

People who know how to make concessions are smart. This is to hold the initiative to determine the course of events in their own hands. In the battle of emotions, if you win the face, you lose your affection. Often people who endure to the end are left alone. Bending over is not to admit defeat, but to pick up lost happiness.

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Origin blog.51cto.com/15086761/2640973