Python is one of the most popular programming languages among all other languages in today's time. Guido Van Rossum created it in 1991 and, since its first days, it's been one of the most well-known languages along with C, Java, and many other languages. Python has taken the lead to become the most effective programming language to be used for AI also known as neural networks. Let's take a look at the reasons why Artificial Intelligence with Python is one of the most intriguing concepts in the world. Python is classified as an Interpreted language.

With several programming languages outshining in the market, choosing the right one is always a daunting task when you are in the early stages of leading your startup. Whether you want to build a minimum viable product (MVP) to gain attention for your concept or want to release your finished product as soon as possible in the market, the choice of a programming language should be wise and based on sound reasons. Not all programming languages will suit your business requirements. Startups must carefully consider the popularity of the language, budget, speed of development, libraries, integrations, scalability, stability, software security, and cost of developers before choosing a programming language. It is for this reason Python is often considered one of the best startup programming languages, as it satisfies all these requirements.

Bodo.ai, a parallel compute platform for data workloads, is developing a compiler to make Python portable and efficient across multiple hardware platforms. It announced Wednesday a $14 million Series A funding round led by Dell Technologies Capital. Python is one of the top programming languages used among artificial intelligence and machine learning developers and data scientists, but as Behzad Nasre, co-founder and CEO of Bodo.ai, points out, it is challenging to use when handling large-scale data. Bodo.ai, headquartered in San Francisco, was founded in 2019 by Nasre and Ehsan Totoni, CTO, to make Python higher performing and production ready. Nasre, who had a long career at Intel before starting Bodo, met Totoni and learned about the project that he was working on to democratize machine learning and enable parallel learning for everyone.

Data Science has gained a lot of popularity in the last few years. This field's primary focus is to convert meaningful data into marketing and business strategies which helps a company grow. The data is stored and researched to get in a logical solution. Previously only the top IT companies were involved in this field but today businesses from various sector and fields such as e-commerce, health care, finance, and others are using data analytics. There are various tools available for data analytics such as Hadoop, R programming, SAS, SQL and many more. However the most popular and easy to use tools for data analytics is Python.

You have coded in Jupyter, the ubiquitous notebook platform for coding and testing cool ideas in virtually all major programming languages. You love it, you use it regularly. Project Jupyter was born out of the IPython Project in 2014 and evolved rapidly to support interactive data science and scientific computing across all major programming languages. There is no doubt that it has left one of the biggest degrees of impact on how a data scientist can quickly test and prototype his/her idea and showcase the work to peers and open-source community. However, learning and experimenting with data become truly immersive when user can interactively control the parameters of the model and see the effect (almost) real-time.