Python Programming Bundle: Intro to Python, Pandas, and OOP

**This course bundle includes a Python Project and downloadable course instructor and exercise files to work with and follow along. **If you need a better tool for handling data, it's time to get to know Python, and this amazing value three-course Python bundle is the perfect place to start. Python is one of the most popular languages for data analysis and business intelligence, with Pandas as one of the most commonly used Python libraries.

At the same time, Object-Oriented Programming is particularly important in Python since every piece of Python code interacts with objects and classes. The introduction to Python course assumes no prior knowledge and guides you through getting set up and started, with practice exercises and a full project to complete at the end of the course. Pandas for beginners will introduce you to the basics of data analysis and assumes no previous Pandas experience.

But since Pandas is a package built for Python, you need to have a fundamental understanding of basic Python syntax, which you should learn in the first course. To get the most out of the OOP course, you need to be at an intermediate level in Python programming. What's included.

Introduction to Python:The basic data types in Python - strings, integers, floats, and BooleanAll about Python's built-in functionsHow variables and functions work in PythonHow to debug errors in PythonAll about Python keywordsHow to use If-Else statements in PythonAll about storing complex data, including lists and dictionariesAll about Python modules and how to install themHow to install Python locallyHow to write your first script in PythonTo complete your first Python projectObject-Oriented Programming:Describe the meaning of the object-oriented paradigm and create class hierarchies using the object-oriented design process. Understand the difference between class variable and instance variable as well as the difference between class method, instance method, and static method. Make an object indexable (like lists), callable (like functions), and comparable (like numbers).