Programming with Python : HandsOn Practice

Python has gained lots of popularity – its an in-demand programming language that is a backbone of data science, data analysis, machine learning and artificial intelligence! Python is one of the most in-demand programming languages – so much so, that big giants in IT – Google, Dropbox, NASA, Instagram, Disqus, Pinterest and many fortune 500 companies are using Python extensively to build their applications.

The art of doing is the art form of transforming oneself from a passive learner who watches, to one who sees the process of learning for what it truly is; a mechanism to better oneself. In this course I have worked very hard to put together python programming meaningful, engaging, and purposeful “Problems” for you to solve.

Each challenge problem is differentiated for 3 levels of learning.

• First, you are given a description of the program you are to create and example output. This allows users an opportunity to solve well defined problems that are meaningful and appropriate in scope. Here, all of the solution is user generated. It is engaged learning.

• Second, you are given a comprehensive guide that will assist you in thought process needed to successfully code your program. This allows users appropriate assistance that tests their knowledge and forces them to generate the thoughts needed to solve the given problem. It is meaningful learning.

• Third, you are given completed code, with comments, to highlight how to accomplish the end goal. This allows users to reference a working version of the program if they are stuck and cannot solve a portion of the problem without assistance. Rather than grow frustrated, the user can quickly reference this code to gain intellectual footing, and work back to solving the problem on their own. It is purposeful learning.

  Questions covered of different topics : 

• Data Types:

  • Strings: A series of characters

  • Integers: Whole numbers

  • Floats: Decimal numbers

  • Lists: A mutable collection

  • Tuples: An immutable collection

  • Ranges: A sequence of integers

  • Booleans: A True or False value

  • Dictionaries: A collection of associated key-value pairs

  Control Flow:

  • For Loops

  • If Statements

  • If/Else Statements

  • If/Elif/Else Statements

  • Break

  • Pass

  • Continue

  • While Loops

  • Def

  • Return

  Assignment, Algebraic, Logical, Members, and Comparison Operators

  • = Assignment

  • += Compound Assignment

  • -= Compound Assignment

  • + Concatenation (strings)

  • + Addition (ints and floats)

  • – Subtraction

  • * Multiplication

  • / Division

  • ** Exponentiation

  • % Modulo Division

  • And

  • Or

  • Not

  • In

  • Not in

  • == Equal to

  • != Not Equal to

  • < Less than

  • > Greater Than

  • <= Less Than or Equal

  • >= Greater Than or Equal

And much more

See you in the course

Who this course is for:

• Python programmer
• Beginner python developers