• Post Graduate Program in Analytics and Artificial Intelligence
    Co-created with UCLA Extension
    4.8 out of 5 by 4610 learners
    12 X industry demand
  • Machine Learning and Deep Learning Prodegree
    Co-created with IBM
    4.7 out of 5 by 2750 learners
    32 X industry demand
  • Post Graduate Program In Data Analytics
    4.7 out of 5 by 3600 learners
    14 X industry demand
  • Data Science Prodegree
    Co-created with KPMG in India
    4.8 out of 5 by 6071 learners
    16 X industry demand

If you are a big data enthusiast and want to enter the field of big data, or if you are employing a development team to handle your big data requirements, you would find yourself pondering over this question many times. Is Python the best choice over the many other programming languages available? Which language should you train yourself or your staff in? Python or R or Hadoop? well, an article cannot solve your quandary, but read on if you need to find out what Python has to offer.
Python is an open source programing language, which is most popularly used in big data. Python Language is synonymous with flexibility, powerful yet easy to use features. Python has its USP in the rich set of utilities and the libraries it offers for analytics and data processing tasks. So, all in all, it is a given fact that among other options available Python maintains its popularity essentially because of it’s easy to use features, which supports big data processing.
Python was developed with the philosophy to bring coding to an open platform, where coding becomes easy, more readable, where one can write less number of lines and yet get the desired results. Keeping the objective in mind, a standard library was introduced, which contained ready to use tools for performing various tasks.
These features make Python the most preferred choice for software development, and mostly so for Artificial intelligence and Machine Learning.
To put it shortly you need to learn Python because……

  1. It offers a speedy learning curve and reduced development time, the syntax in Python is much cleaner and neater in comparison to other languages. It is easy to debug due to shorter codes. The modular architecture makes it easy to merely import and use a module rather than writing a large block of code. Great choice for beginners. Shorter and quicker codes reduce the development time drastically.
  1. You can automate the repetitive tasks, for lesser cognitively demanding tasks, tasks that need little decision making can be automatically programmed by writing a script in Python.IBM Machine Learning Banner
  1. It is the most common choice for data scientist and analytics because of the convenience of feature-rich modules in Python which makes it easy to conduct data analytics in an efficient manner.
  1. Python is an object-oriented language, so if you learn Python it will make it easy for you to switch to any other object-oriented language. You will only need to learn the syntax of the other language.
  1. It is the future for Artificial Intelligence and Machine Learning, which will be integrated in most functions in the very near future. Python becomes the premium choice for Machine learning algorithms mainly because of the portable extendable and scalable features of the language.

The field of data science and analytics, more specifically artificial intelligence and machine learning will only continue to flourish in the coming years. If you are looking to take a plunge in this field, then fluency in Python can be considered a prerequisite. Learning Python has minimal investment and maximum benefits, it then surely becomes an advantage to learn.
 

For Online Course Enquiries
About Imarticus
Imarticus Learning is India’s leading professional education institute that offers training in Financial Services, Data Analytics & Technology. We’ve successfully transformed careers of over 35,000+ individuals globally through our Certification, Prodegree, and Post Graduate programs offered in association with leading and renowned global organisations in the Financial Services, Data Analytics & Technology domain.
Related course
  • POST GRADUATE PROGRAM
    Post Graduate Program in Analytics and Artificial Intelligence
    Co-created with UCLA Extension
    Course duration(Weeks)
    28
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 5 by 4610 learners
    12 X industry demand
    Upcoming Batches
    Date Location Schedule
    26th September THANE Weekend
    Date Location Schedule
  • Prodegree
    Machine Learning and Deep Learning Prodegree
    Co-created with IBM
    Course duration(Months)
    4
    Upcoming batches
    1
    Organizations enrolled
    20
    4.7 out of 5 by 2750 learners
    32 X industry demand
    Upcoming Batches
    Date Location Schedule
    25th July HYDERABAD Weekend
    Date Location Schedule
  • Post Graduation
    Post Graduate Program In Data Analytics
    Course duration(Months)
    5
    Upcoming batches
    8
    Organizations enrolled
    20
    4.7 out of 5 by 3600 learners
    14 X industry demand
    Upcoming Batches
    Date Location Schedule
    14th August THANE Weekday
    16th August PUNE Weekday
    28th July PUNE Weekday
    17th August HYDERABAD Weekday
    Date Location Schedule
    14 August PUNE Weekday
    28th July DELHI Weekday
    17th August BANGALORE-KORAMANGALA Weekday
    14th August HYDERABAD Weekday
  • Prodegree
    Data Science Prodegree
    Co-created with KPMG in India
    Course duration(Months)
    2-4
    Upcoming batches
    2
    Organizations enrolled
    20
    4.8 out of 5 by 6071 learners
    16 X industry demand
    Upcoming Batches
    Date Location Schedule
    19th September PUNE Weekend
    Date Location Schedule
    12th September CHENNAI Weekend