Learning Python the easy way

Learn through clear illustrations and build a strong Python foundation through quizzes and practice exercises
Rating: 4.4 out of 5 (19 ratings)
2,992 students
Learning Python the easy way
Rating: 4.4 out of 5 (19 ratings)
2,994 students
Formatting input and output
Built-in functions
User-Defined functions
Fruitful functions
Conditional statements
String manipulations
Search Operations
Lists, Dictionaries and Tuples
Understand how Python deals with Object Oriented Concepts
The various exceptions and how it can be handled

Requirements

  • Basic programming knowledge

Description

This course introduces you to the most sought after language of the day. You will have a whole new experience of learning to program Python step by step with things to note as pop-ups such as syntax, definitions and key points to remember. Knowing the numerous features that Python offers, this course will definitely make it easy for you to recall the concepts as well as commands while implementing them. At the end of every module, this course makes sure you got the concepts right by way of quizzes and assignments which not only gives a good understanding but also gives additional facts there too.

Learn Python 3 through code walkthroughs, covering the

  • Basic commands in Python shell

  • Control structures

  • Fruitful functions

  • String manipulations

  • Data structures

  • Inheritance

  • Magic methods

  • Exception handing and lot more...

This course will enable you to start coding Python with confidence right away.

Who this course is for:

  • Beginner Python developers who wish to gain a strong foundation in Python programming.

Course content

9 sections • 28 lectures • 1h 58m total length
  • Introduction
    01:20

Instructor

Independent Researcher
Hema Thiagarajan
  • 4.3 Instructor Rating
  • 37 Reviews
  • 5,021 Students
  • 2 Courses

A passionate researcher with ten years of teaching experience. She has handled various programming languages like Java, J2EE, Data Structures and MySQL. She holds a Ph.D. in Computer Science from Anna University(India). She is currently an independent researcher and serving as an Ad-hoc reviewer in the "International Journal of Software Science and Computational Intelligence, IGI Global Publications, Pennsylvania, USA. She is currently working in Data Science and completed a certification on Data Analysis with Python from IBM.