Data Science, Programming

Data Science with Python

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About the Course

Python is an easy, simple, minimalistic and powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python's elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. Few aspects of programming escape the attention of Python. It is used extensively in the cloud, and is one of the first languages to support Google App Engine. Python is popular among scientific communities through the SciPy package.

This course is designed for professionals, software developers, scientists, and engineers, is a comprehensive introduction to the Python programming language and techniques.


Why should you learn Python?

  • Extensible
    If you need a critical piece of code to run very fast or want to have some piece of algorithm not to be open, you can code that part of your program in C or C++ and then use it from your Python program.
  • Embeddable
    You can embed Python within your C/C++ programs to give scripting capabilities for your program's users.
  • Extensive Libraries
    The Python Standard Library is huge indeed. It can help you do various things involving regular expressions, documentation generation, unit testing, threading, databases, web browsers, CGI, FTP, email, XML, XML-RPC, HTML, WAV files, cryptography, GUI (graphical user interfaces), and other system-dependent stuff. Remember, all this is always available wherever Python is installed. This is called the Batteries Included philosophy of Python.
  • Widely used in Bioinformatics applications. Engineers use Python to make scientific calculations, design systems, and simulation software.

Class Venue

Regus, Naga Chambers, IIIrd Floor, Visakhapatnam 530002