Each year, thousands of startups are born in India and many acquire enough funding to become the unicorns. Unfortunately, the numbers of such funding magnets have only dwindled in the last few years or so. Startups prefer to start with talent, and go high on building and using their own proprietary technology stacks for Marketing, Sales, Website, and Product Life cycle management. In start-up scenario, it’s a 50-50 game when you ask any VP of Product or Data Science which programming language they would prefer to work with.
It would be a match of opinions between scientists and analysts pegging the likes of R, JAVA and others against PYTHON. Yes, Python Coding language has its own fan following in the startup and that’s why we point the reason why Python for startups is a great option.
Start-Ups and their Complex Projects
I had the opportunity to interact with Uber’s engineering team and ask the data science professionals few relevant questions that not many could afford. As a cab hailing company that transformed the face of private transportation, data science is at the core of its Operations and driver management.
Uber’s engineering primarily works with Python. Reason: It can help manage the complex projects that entail working with diverse data — transactions, mobile apps, driver details, user information, and now eateries, payment apps, and in some parts of the world, couriers and biking. From fleet management to surge pricing, Uber’s secret lies in working amply with Python data science platforms.
Python is an easy to work with Open Source programming language. However, that’s not the only reason why Chief Information Officers (CIOs) choose to hire professionals with background in Python for data science projects.
The reason is Python’s agnostic affinity to Cloud-native environment, such as Google Cloud, AWS, Microsoft Azure and so on.
With basic training in Python for Data Science cloud projects, anybody can learn how to use Python web apps on AWS Elastic Beanstalk.
What is AWS?
Amazon Web Service or AWS is apt for AI and ML operations. It puts machine learning capabilities in the hands of every Python developer. With its amplified AI ML services, partner community and recommendation platforms, AWS Python for Data Science is a best fit for any start-up.
More than 250 startup developers and open source community choose to work with AWS for Python projects and its learning tools — AWS DeepRacer and DeepLens. These are used in fintech, ed tech, sports analytics. Experience include working with tools such as NoSQL, Docker, Redis, Ruby and Neo4j.
Python tackles every single challenge related to the current genre of fast-paced live video- streaming and user generated content.