Think about the role that Big Data plays in our day-to-day lives and how we contribute to it. Every time we tweet, send emails, search online, or ride in a connected car, we’re creating thousands of data points.
Those data sets are used by companies (both large and small) to help inform the creation and improvements of new products, services, and business strategies.
It’s predicted that by 2025, an estimated 463 exabytes of data will be created each day globally, reports Weforum.org. As more data is created, more companies have expressed a need for qualified employees with SQL skills (Structured Query Language, the first language of data analysis, and universal language for relational databases) to analyze and create actionable intelligence based on that data.
If you’ve recently found yourself rethinking your career options, it’s never been a better time to find a “new collar” job. Or, if you’ve always wanted to enter the world of tech, consider a position as an Android developer. Roles in Android development are not only stable and well-compensated, but they offer a clear career trajectory.
Python AI libraries have one job: To provide the benefits of AI algorithms and tooling without any of the complexities of their implementation. No developer wants to reinvent the wheel or delve into an array of statistics and data science books every time they want to build a chatbot or classify some data. This is where the copious number of AI libraries, written for Python, can make projects faster to build, more readable and more effective at achieving their goals using AI. Read on to find out more.
After finishing his program, Tiago started to think about how he could build on the technical skills that he had learned. Then, he set a goal to design and build two web applications in 2020. But, he had no idea about what to do and where to start.
“At the same time, the world was engulfed in this crazy pandemic and everyone was caught by surprise — businesses were told to close doors, aircraft were grounded and companies told their staff to work from home. This was totally unexpected,” he said.
Are you looking to learn more about parallelization in Python? If so, this article is for you. We cover the basics of parallelizing tasks and explain how parallel programs can speed up your Python code. We also provide our top three tips for creating error-free parallel programs in Python.
Learning how to code is an extremely useful skill to have in your repertoire. Whether you want to build a prototype for your great app idea or snag that promotion you’ve had your eye on at work, coding skills can get you there.
What’s more, Monster projected that jobs requiring skills in programming will rise by over 8% in the next 10 years. In fact, Uber, Google, Intel, and other large companies are consistently looking for professionals with coding skills.
While learning to code may sound intimidating, it’s not only attainable and necessary. The new world of work will increasingly need coders. And, with these skills, you’ll be able to work in a wide variety of industries building solutions that help to analyze data, cut down manual labor, and even educate and entertain.
To get you from staring at a blank computer screen to becoming the next expert coder, you need to know where to start. There are several techniques first-time programmers can use to learn how to code, ranging from reading coding textbooks to online courses.
The way(s) you choose to learn to code depends entirely on your future goals. However, everyone has to start somewhere. Here are the top three most effective ways to begin learning how to code.
When friends can’t decide which new gadget to buy, you’re the one they ask for advice. When your neighbor’s photography site flashes a 404 error, you get the early morning call. And when your family gathers for special occasions, you’re trapped in the living room helping Aunt Elsie retrieve her lost emails.
Does this sound familiar?
Face it: You’re good with tech, but you’ve yet to maximize your potential.