The use of AI is growing at an exponential rate. Businesses are using AI to leverage benefits such as lower costs, increased productivity, and reduced manual errors.

30% of all companies worldwide are using AI for at least one of their sales processes.

To that end, there are a lot of people looking to reskill. Where the rubber meets the road is what language to learn?

In a match up that no one saw coming in the AI world, folks are starting to ponder Python or JavaScript.

So, it’s only natural if you’re a developer interested in getting into the field. But it’s also natural to ask yourself which language you should choose for programming AI algorithms. After a little digging, you’ll surely find that Python and JavaScript are two top contenders. They are both object-oriented languages that have a host of features with their strengths and weaknesses. So, which one should you choose? Let’s have a look at both.

Here’s an interesting session from the SciPy 2020 virtual conference.

As a foundational tutorial in statistics and Bayesian inference, the intended audience is Pythonistas who are interested in gaining a foundational knowledge of probability theory and the basics of parameter estimation. Knowledge of `numpy`, `matplotlib`, and Python are prerequisites for this tutorial, in addition to curiosity and an excitement to learn new things!

According to the findings of Kaggle’s State of Data Science and Machine Learning report,  Python, SQL, and R continue to be the top programming languages for data science professionals,

The annual survey is noteworthy due to the large number of participants – it received responses from almost 20,000 data professionals from 171 countries and territories this time.

An analysis published on Business Broadway looked at the raw data from the Kaggle survey, and concluded that data professionals used an average of three languages in 2019. The top programming language was Python (87%), followed by SQL (44%) and R (31%). The other languages in the top 10 list include Java, C and C++, JavaScript, Bash, MATLAB, and TypeScript.