5 predictions for how programming will change over the next 10 years

5 predictions for how programming will change over the next 10 years5 predictions for how programming will change over the next 10 years

We’re living in the golden age of programming right now, with developers creating increasingly sophisticated apps that are used by millions of people across the globe, whether they realize it or not. It’s hard to believe that this progression could continue over the next 10 years, but that doesn’t mean it won’t happen, and here are five ways I think programming will change in this time period.


1) Python

Python is one of the most popular programming languages and it is predicted that it will continue to grow in popularity. However, there are some changes that are predicted to happen with Python in the next ten years. There are two different camps with Python: One side favors adding features like generics or enforcing style rules; the other wants to keep Python minimalistic by not adding any new features.

Some predict that in ten years, more programmers will use Python 3 because it has a cleaner syntax than previous versions and is easier to learn. Meanwhile, others think that Python 2 is going to stay as the main version due to its close resemblance to C++. In ten years, many people think that Python 3 might replace Python 2 because of its cleaner syntax and ease of learning. But others predict that Python 2 will remain the main version because of its similarity to C++. As long as programmers are content with both versions, then they’ll be able to choose which one they want to use.

Java: Java was created back in 1995 and was designed specifically for smartphones and handheld devices. Nowadays it’s being used by enterprises who want high-performance systems running on clusters of servers. Programmers have been predicting that Java could start disappearing soon, but recent reports show that this prediction may be false since demand for Java hasn’t declined in recent years.

2) Machine Learning

  1. In the next ten years, machine learning will become increasingly prevalent and important.
  2. Machine learning algorithms will continue to get more accurate, making them more reliable and useful.
  3. More data will be collected and stored, making it more accessible for training machine learning models.
  4. New techniques and architectures will be developed to improve the efficiency of training machine learning models.
  5. Hardware platforms will become more powerful and sophisticated, allowing for more complex machine learning models to be trained.
  6. Machine learning tools will develop in sophistication as well, providing new ways to train models and make use of their outputs.
  7. With these advancements in technology come new ethical considerations related to privacy and bias that must be addressed by designers and programmers alike.
  8. Many organizations are adopting these ethical considerations into their corporate policies so that they can maintain a good reputation with their customers or clients.

3) Data Visualization

Programming is an ever-evolving field. What was popular ten years ago may be passé today. In order to stay ahead of the curve, it’s important to keep up with the latest trends and developments. Here are five predictions for how programming will change over the next ten years Programming languages that work well on mobile devices: Mobile computing is becoming more ubiquitous, so software developers will need to design programs that can be used across a variety of different devices.

Artificial intelligence in code: Computers are going to start writing their own code as AI becomes more prevalent. As computers get smarter, they’ll generate better solutions for difficult problems without human intervention. A greater emphasis on cybersecurity: Cyber attacks have been a major issue in recent years and so there’s going to be an increased focus on making code more secure. Collaborative software development: More people than ever before have access to high-quality education in computer science, which means teams working together will produce higher quality projects than those who work alone.

4) Cloud Computing

By 2025, 80% of all workloads will be in the cloud. This shift to cloud computing is being driven by a need for agility, flexibility and scalability. Programming languages will need to evolve to meet the demands of cloud-native applications. Developers will need to learn new skills to build these applications. The good news is that there are already a number of great resources available to help with this transition.


For example, both AWS and Microsoft offer extensive training programs to teach developers how to use their respective technologies. There are also many online courses available, such as edX’s Software Development Fundamentals course or Coursera’s Introduction to Computer Science course. And if you’re looking for more general information about programming, sites like Codecademy can help you get started.


5) Cryptocurrency and Blockchain

  1. Cryptocurrency and blockchain technology will become more mainstream.
  2. More businesses will start using cryptocurrency and blockchain technology.
  3. The price of Bitcoin and other cryptocurrencies will continue to rise.
  4. Blockchain technology will be used to create new types of applications.
  5. The number of people involved in programming and development will increase. 6. Programming education and learning platforms will become more popular as a way to learn about programming and development skills, as well as sharpen existing skillsets.
  6. Developers’ salaries will go up significantly due to demand from companies who need them to keep up with all these changes.
  7. Programming languages like Python, Java, and Ruby on Rails will still be around but many more languages that we can’t even predict yet will emerge that solve specific problems better than others.




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