Download the easiest way to
stay informed
stay informed
- Published on December 10, 2018
- In AI Features
Can Julia Be The New Python? Here’s What You Need To Know
- By Disha Misal
Python is undoubtedly the most popular language among data scientist and machine learning professionals. But Julia, founded by Viral B Shah, Deepak Vinchhi, Alan Edelman, Jeff Bezanson, Stefan Karpinski and Keno Fischer, is now gaining popularity in the field. This year in August, Julia developers announced the 1.0 release of their project, which means that the language is no longer at a ‘developer’s stage’ and is now an ‘expert’.
Before moving on to their comparison, it is important to indicate and establish that it is not fair to expect that Julia can beat Python hands down. Python has been in the market since ages and its success stories are everywhere. Julia, on the other hand, is quite new and does not compete with Python in many areas.
This article will only emphasise
📣 Want to advertise in AIM? Book here
Disha Misal
Found a way to Data Science and AI though her fascination for Technology. Likes to read, watch football and has an enourmous amount affection for Astrophysics.
Related Posts
Everyone in India is Learning AI, But Who Will Build the Architects?
Ankush Das
The country’s AI future hinges on moving beyond AI literacy to advanced GenAI upskilling.
Is It Game Over for AI Systems as India Bans Real Money Gaming?
C P Balasubramanyam
The ban on real money gaming could dismantle a homegrown tech sector and nullify investments.
India’s AI Push Might Be Pointless Without National Language Standardisation
Mohit Pandey
Lack of engagement in vernacular languages leads AI to depend upon synthetic data sets for development.
How Pricing Puzzle Exposes AI Companies to Revenue Risks
Shalini Mondal
Many restructure workflows, automate jobs, or even downsize staff around these tools, only to discover rising, volatile AI bills.
Domain Expertise is an Engineer’s Knight in Shining Armour
Supreeth Koundinya
“AI can execute large volumes of tasks, but it often misses the situational understanding that human experts intuitively bring.”
How Zepto Delivers Both Groceries & Microservices In 10 Minutes
Supreeth Koundinya
Deploying Backstage, Kubernetes and ArgoCD as the foundation of internal developer platform provided many advantages.
Developers Never Owned Their Code, AI Just Made That Obvious
Ankush Das
‘In terms of accountability and responsibility, this is down to the whole development team, not the developer who wrote the
What Indian IT Companies Could Learn From Infosys’s Open-Source Journey?
C P Balasubramanyam
With apt infrastructure and employee motivation, the firm repurposed its approach to open-source community.