55 Best Computer Science Blogs (Plus Example Articles)

55 Best Computer Science Blogs

Here are the 55 best computer science blogs. Plus an example article for every blog. So if you want to get the best computer science blogs in one place, then this article is for you. Let’s kick things off with blog #1! #1 O’Reilly Radar Topics To start, here’s the O’Reilly media blog.  You can see its categories here. Everyone who is interested in computer science has probably read at least one book published by O’Reilly. You can find posts on: This blog offers: Example Article: Where Programming, Ops, AI, and the Cloud are Headed in 2021 This article is from the AI (Artificial Intelligence) and ML (Machine Learning) section. The article talks about what awaits computer science in 2021:  #2 CACM (Communications of the ACM) A blog for posting articles about computer science and technology.  News and blog posts from the business’ best.  The blog post level is relatively easy for beginners.  The site was originally intended as a communication tool between a group of ACM (Association for Computing Machinery) representatives. It’s an educational and training resource for computer science professionals. Example Article: Let’s Not Dumb Down the History of Computer Science The video and transcript of a 2014 lecture by the legendary programming guru Donald Ervin Knuth, the author of algorithms and computational math textbooks. In his lecture, Donald mentions the importance of knowing the history of the field in which you have an interest and the importance of studying it from a technical standpoint. #3 Google AI Blog A blog about artificial intelligence from one of the biggest IT companies.  If you’re into artificial intelligence or just want to learn more about it, you’ll probably like reading the articles on this blog. Example Article: Machine Learning for Computer Architecture The power and algorithms of modern computer equipment have increased dramatically. Artificial intelligence and machine learning are being applied in an increasing number of areas, including those not

Computer Science: Oversaturated? (All the Info)

Computer Science: Oversaturated?

This is whether computer science is oversaturated. The number of computer science graduates has been steadily increasing. If you want to find out whether supply is greater than demand in computer science, then this article is for you. Let’s dive right in! Whether Computer Science Is Oversaturated Over the last 40 years, the number of computer science graduates has been steadily increasing. But the number of jobs is growing even faster as computer science develops and has a lot of different fields.  Today, computer science is needed everywhere—in business, public sector, and private life. From the newest cloud computing applications for human resources to government agencies that electronically process data to your mobile phone. So if you want to be a computer scientist, this is a good move in general. However, since computer science is so diverse, you will need to pick one field to develop.  The most promising areas are: Artificial intelligence Cloud computing Data science Databases DevOps Information security Still, all developers have relevance, including web developers and mobile app developers. Overall, computer science’s labour market is not oversaturated; experts are in demand and salaries are high. More and more companies let their employees work from home. It’s likely that this trend will continue.  Remote work has a lot of advantages like no need to maintain the office and employees don’t waste time on the way to work. All of that makes the need for experts in cloud technologies and remote work technologies even greater.  Besides, the trend towards remote work creates an opportunity for professionals in developing countries to get higher-paying jobs without moving. This trend also has a downside for those who now live in countries with high wages.  The competition is getting fiercer. It is possible that some of these specialties will lose demand, but if you possess a strong domain and fundamental knowledge, you should be able to retrain and find a job. Computer

12 Best Minors for Computer Science Major (Statistics)

12 Best Minors for Computer Science Major?

Here are the best minors for a computer science major: Choosing a minor in another computer-related path can be a bit redundant. If you decide that working with computers is not for you, a minor unrelated to computers opens up other career options and broadens your horizons. You can, however, deepen your expertise even more by doubling down on a computer science related topic. So if you want to learn all about the best minors for your computer science major, then you are in the right place. So without further ado, let’s do this! How to Choose the Right Minor For Your Computer Science Major? After choosing to pursue a computer science degree, the next step is to choose a minor. The best minor for computer science is one that makes you more attractive to potential employers. While a minor might not seem like a big deal, it can be. Earning a minor involves taking several courses in a set program, so you get to dig deep and learn skills and content.  How do you choose the best minor for computer science? The answer involves analyzing your plans for using your degree. Finding what degree complements computer science is as easy as looking at what you enjoy studying and what you would like to do in your professional life.  Do You Know Your Interests? Picking a good minor for computer science involves following your interests. Most college students have already taken several courses before they officially declare a major. So, you should look at what you already have before you decide on a complementary computer science minor.  In the first two years of college, you’ve probably taken general ed courses. Fortunately, most colleges offer students several choices for those gen-ed courses, so the odds are good you’ve taken some classes in subjects you enjoy. Some of those courses probably could count toward a minor.  If you enjoy computer courses, look