This is an interactive learning track at FutureCoder will get the kids working on different coding challenges, helping them gain an understanding of Python and it’s capabilities. As kids work through this track they will gain a better understanding of the Python syntax, power of the Python language and also create their own game.

What is Python –

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

Read more at – www.python.org

Here some of the benefits of learning Python –

• Pick up a mainstream programming language that is used widely by business and in opensource
• Work in a productive coding environment compared to other languages like C# and Java.
• Work with a programming language which is easy to read, even if you’re not a skilled programmer. Anyone can begin working with the language.
• Work with a programming language which has easy syntax and enjoy writing code
• Dive deep into object oriented programming concepts
• Write programs for embedded devices (Raspberry Pi, ESP32, etc.) and develop/create electronics projects
• Gain skills and understand how to interface with most modern web technologies i.e. API’s, Databases, Rule engines, etc.

As part of this development track kids will work on tutorials that cover the following concepts

For aspiring Data Scientists, Python is probably the most important language to learn because of its rich ecosystem. Python’s major advantage is its breadth. For example, R can run Machine Learning algorithms on a pre-processed dataset, but Python is much better at processing the data in an efficient manner.