Gain insights into Python 3 by exploring fundamental and advanced concepts. Learn about functions, data structures, and OOP while reinforcing knowledge with quizzes and coding challenges.

Python is an important programming language used in data science, machine learning, web scraping, and web application development, making it essential for modern developers.
This course starts with teaching fundamental programming concepts in Python 3, including conditional execution, repetition, and functions, before moving on to advanced topics like data structures and object-oriented programming. Quizzes and hands-on coding challenges along the way help reinforce what you have learned.

By the end of this course, you will have a solid foundation in Python programming, enabling you to write clean and efficient code and tackle more advanced topics and projects with confidence.

Learn Intermediate Python 3

# Numerical data manipulation
Python is among the most powerful languages for manipulating numerical data. It is equipped with support for several types of numbers, along with utilities for performing computations on them. It has a rich ecosystem that consists of an active developer community and a vast collection of third-party libraries for specific scientific and mathematical domains like machine learning and data science. Also, Python's simple and intuitive syntax makes it easy to work with numerical data. It allows developers to focus on the problem at hand rather than getting bogged down by language syntax and verbosity.

There are three main types of numbers in Python:

Understand Python’s capabilities for numerical data, including integers, floats, and complex numbers.

Introduction

Data Types, Variables, and Operators

Selection Statements

Functions

Repetition: Loops and Recursion

Python Exam I

Data Structures

Object-Oriented Programming in Python

Libraries

Appendix

Python Exam II

Numbers

Numerical data manipulation