Top 3 Skills for Computer Scientists in 2023

Hadi Fadlallah
Tech Blog
Published in
6 min readMar 26


In the fast-paced world of computer science, it is easy to get caught up in the latest trends and technologies. Data science, data engineering, and data analysis are just a few recently popular skills.

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However, it is essential to remember that specific fundamental skills are the building blocks for any other skill in the field. In this article, we will focus on three essential skills that every computer scientist should have in 2023 but are often overlooked:

  • Efficient Google searching
  • Effective use of Stack Overflow for asking and answering questions
  • The ability to ask good questions to intelligent virtual assistants like ChatGPT

By mastering these skills, you will be better equipped to tackle complex challenges, find solutions to difficult problems, and stay ahead of the curve in the dynamic world of computer science.

Efficient Google searching

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Efficiently searching Google is a crucial skill for any computer scientist in 2023. With the vast amount of information available on the internet, it can be overwhelming to find what you are looking for. However, using advanced search operators and techniques, you can quickly narrow down your search results and find the necessary information.

One of the main benefits of efficient Google searching is that it saves time. Instead of sifting through pages of irrelevant search results, you can use specific search terms and filters to find the necessary information in seconds. This is particularly useful when working on a project with tight deadlines or trying to solve a complex problem.

For example, let’s say you’re working on a project using Python to process large datasets. An inefficient Google search might involve typing in generic keywords like “Python performance” or “Python data processing.” You might get many irrelevant results, and finding what you need could take a while.

On the other hand, an efficient Google search might involve using specific search terms and operators to narrow down your results. For example, you could try searching for “Python data processing optimization techniques,” or you could use search operators like “site:” to limit your search to specific websites or “intitle:” to search for pages with specific words in the title. Using these advanced search techniques, you can quickly find resources and articles specifically relevant to your needs.

Moreover, efficient Google searching can help you stay up-to-date with the latest developments in your field. By regularly searching for industry-specific terms and topics, you can stay informed about new technologies, tools, and techniques. This can give you a competitive edge and help you stay ahead of the curve.

In summary, mastering efficient Google searching is an essential skill for computer scientists in 2023. It saves time, helps you stay informed, and allows you to find the information you need to tackle complex challenges quickly.

Asking and Answering on Stack Overflow

Asking and answering efficiently on Stack Overflow is another essential skill for computer scientists in 2023. Stack Overflow is a popular online community where developers can ask and answer technical questions, share knowledge, and collaborate.

One of the main benefits of using Stack Overflow is that it allows you to get help from a large community of experts and developers. However, to get the best possible answers, asking and answering questions effectively and efficiently is essential.

A well-written question should be specific, clear, and detailed. It should also include relevant code snippets, error messages, and any troubleshooting steps you’ve already taken. This helps experts on the platform understand your problem and provide a more accurate and helpful answer.

On the other hand, poorly written questions can be confusing, vague, or too broad. For example, a question that asks, “How do I fix this code?” without providing any additional information or context is unlikely to get a good response from experts. They may ignore it or provide incomplete or irrelevant answers.

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Writing well-formatted answers on Stack Overflow is essential for several reasons. First and foremost, clear and well-organized answers are easier to understand and follow, which can help other programmers solve their problems more quickly and effectively. A well-formatted answer with code snippets, explanations, and references can provide valuable insights and contribute to the programming community’s collective knowledge.

Moreover, writing good answers can also help build a programmer’s reputation as an expert in a specific field or language, which can lead to career opportunities or collaborations. Investing time and effort in writing well-formatted answers on Stack Overflow can contribute to the programming community while enhancing one’s skills and reputation.

In summary, asking and answering efficiently on Stack Overflow is an essential skill for computer scientists in 2023. You can get the best possible help from a large community of experts and developers by writing straightforward, specific questions and providing detailed, accurate answers.

Asking good questions for ChatGPT

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Asking good questions is a crucial skill not just for efficient use of search engines and Stack Overflow but also for working with language models like ChatGPT.

In 2023, prompt engineering is becoming an increasingly important skill for computer scientists as it allows them to customize language models to perform specific tasks by providing high-quality prompts.

Prompt engineering involves crafting natural language prompts that can elicit specific responses from language models. By asking good questions that provide clear and relevant context, you can improve the accuracy and relevance of the responses generated by the model.

For example, let’s say you’re working on a project that involves analyzing a large dataset. You want to use a language model like ChatGPT to help you with some of the analysis, but you’re unsure how to phrase your questions to get the best results. A wrong prompt might look something like this:

“I have a large dataset and I need to analyze it. What should I do?”

This prompt needs to be more specific and provide more information for the model to generate a helpful response. In contrast, a well-crafted prompt might look something like this:

“I’m working with a large dataset and I need to calculate the average value for a specific column. Can you provide me with the Python code to do this?”

This prompt can help the model generate a more accurate and relevant response by providing specific details about the dataset and the desired outcome.

In summary, asking good questions is essential for prompt engineering, becoming an increasingly important skill for computer scientists in 2023. By crafting clear, specific prompts that include relevant details, you can improve the accuracy and relevance of the responses generated by language models like ChatGPT.


This article highlights three essential skills for computer scientists in 2023: efficient searching on Google, asking and answering effectively on Stack Overflow, and asking good questions for language models like ChatGPT. It emphasizes the importance of these fundamental skills as the building blocks for more advanced skills and trends like data science and prompt engineering.

Efficient searching on Google can save time and provide accurate results, while effective participation on Stack Overflow can improve problem-solving skills and enhance collaboration within the programming community.

Additionally, asking good questions is essential for prompt engineering and can improve the accuracy and relevance of language models’ responses. Computer scientists can become more effective and efficient by mastering these essential skills.

Note: We utilized ChatGPT to improve the quality of this article.



Hadi Fadlallah
Tech Blog

Data Engineer, Doctoral Researcher in big data quality. I write about data engineering, SQL Server, and anything related to data.