In this era, your work will betray you, your industry will betray you, and your profession will betray you. The only thing that cannot betray you is your perception and your ability!
The recent hot drama "Everything is Good" has indeed had a great response, and it is very realistic. The Su Mingzhe in the play is also from an IT background. He has reached middle age, and he should know the thoughts of IT professionals after the age of 30. slowly backward, his wife Wu Fei said: "as a programmer, your age has been great, I ask you, you young people to learn new things fast?" , yes, Wu Fei sentence The words are hitting the pain points of all programmers around 35 years old!
Therefore, as a programmer, the 10 years of 22-32 years old belong to the golden age . If you don't go well, you will basically use it later. So old folks, think more when you are young, and communicate more with the big guys.
Going out for more interviews does not necessarily mean changing jobs. Through interviews, you can discover your own shortcomings and your skills will not be eliminated by the market.
The real stability is that you take precautions before the storm, seize the opportunity to learn, and grow savagely. It does not mean that the chaffinch does not know the future of the building and is satisfied with the superiority and comfort zone in your best years.
If we can keep up with the pace of the times, keep moving forward, and get a better understanding of it in advance, maybe we can pass through our own workplace bottlenecks in advance, and naturally there will be a different landscape!
What skills are needed to enter big data today?
If you have a preliminary grasp of any of the following languages, it is very easy to transform big data.
● Java programming is the foundation of big data development, and Java programming is a necessary skill!
● Python is a computer programming language, which is supported and applied in the big data processing framework.
● Scala is a multi-paradigm programming language, similar to java programming language.
● Go (also known as Golang) syntax is similar to C language, but the declaration of variables is different.
● R is the language and operating environment for statistical analysis and drawing.
Technically, they are just a tool for big data. In fact, as long as a basic programmer transforms into big data, there is a natural advanced advantage , even if you have not learned any zero-based programming language, you can still learn it.
● Whether you are a beginner or an experienced programmer, you should focus on <language features> instead of entangled in which type of language. Only in this way can you achieve a thorough understanding. You can basically use any language and write high-quality code.
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