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

Name: Python Programming Bundle: Intro to Python, Pandas, and OOP
Rating: 4.4 (12 reviews)

Get started with Python programming and the Pandas library while building a deep Object-Oriented Programming foundation!

Created bySimon Sez IT

Last updated 9/2022

English

What you'll learn

The basic data types in Python - strings, integers, floats, and Boolean
Python’s built-in functions and Python keywords
How to write your first script in Python
How variables and functions work in Python and how to debug errors
How to write your first script in Python and use If-Else statements
Storing complex data, including lists and dictionaries
All about Python modules and how to install them
Installing Python locally and completing your first Python project
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).
Design and implement Python programs for complex problems, making good use of the language’s features such as classes and inheritance.
An overview of Pandas and installing Pandas on your computer
Using the two primary Pandas data structures, Series and DataFrame
Viewing data imported from an external source and organizing input data using indexing and filtering
Using Pandas for data preprocessing and addressing missing values and duplicate rows
Formatting your data most efficiently and processing different data types
Data manipulation using string functions and date and time formatting

Course content

23 sections • 115 lectures • 11h 28m total length

Which Side of the Divide Are You On?1:16
WATCH ME: Essential Information for a Successful Training Experience2:11
DOWNLOAD ME: Course Exercise Files0:23
DOWNLOAD ME: Course Project Files0:23
Beginners Are Welcome1:11
Course Overview1:01

Variables and Functions4:12
Storing Values as Variables5:02
Learn how to store values in Python by naming variables with lowercase letters and underscores, avoiding numbers and special characters, and using reassignment and string concatenation in an interactive console.
Comparing Variables with Operators6:26
Basic Expressions5:29
Functions8:45
Commenting2:51
Variables and Functions Exercise5:50
Practice using variables, functions, and operators by creating a script that asks for a name and number, converts to int, computes a lucky number, and prints it with an f-string.
Section Quiz

What is an Error?1:39
Reading a Stack Trace5:00
Print Function: print()2:15
Use the print function to inspect variable values and types while running Python code, identify type errors, and learn how basic debugging complements IDE tools.
Try and Except4:17
You Are Not Alone2:54
Errors Exercise4:29
Fix a small python script by correcting a syntax error, a name error, and two type errors in a divide-by-two function, using a try and accept block from earlier videos.
Section Quiz

Basic Logic1:45
Syntax and Inline Evaluation4:16
Value Evaluation3:37
Extract inline expressions from if statements into named variables like overbudget and too cheap to improve readability; compare total costs against 324 and 250 budgets in Python.
Complex If-Else Statements6:44
Introduce the elif keyword to combine if and else, evaluate later, and nest if-else blocks to handle over budget, too cheap, and perfect budget with clear prints; aim for readability.
If-Else Exercises5:33
Write a Python script using a try-except block to parse user input as an integer, then use if-elif-else to report too high, too low, or correct relative to favorite number.
Section Quiz

Advanced Data Types2:03
Explore Python data types by examining lists and dictionaries, learning how lists store data with brackets and indices, and dictionaries map keys to values.
Lists12:01
Dictionaries8:11
Explore dictionaries in Python: create and modify key-value pairs, access values with bracket notation using keys, and perform add, delete, check membership, and get with defaults.
Looping: Lists11:19
Looping: Dictionaries4:28
Advanced Data Exercise5:52
Section Quiz

Python Modules5:30
Python Built In Modules5:15
Learn to import and use Python's built-in modules date time, random, and math in main.py, exploring datetime objects, time delta, random choices, and math functions.
Importing Modules4:34
Master Python import mechanics by using import and from import, aliasing modules, and calling functions via dot notation, with built-in modules like random and datetime and interactive console demos.

Requirements

No prior knowledge of Python required for the Introduction to Python course
A fundamental understanding of basic Python syntax for the Pandas course
Beginner to intermediate knowledge in Python programming for the Object-Oriented Programming course
Access to Python software is beneficial to follow along

Description

**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 Boolean
All about Python’s built-in functions
How variables and functions work in Python
How to debug errors in Python
All about Python keywords
How to use If-Else statements in Python
All about storing complex data, including lists and dictionaries
All about Python modules and how to install them
How to install Python locally
How to write your first script in Python
To complete your first Python project

Object-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).
Design and implement Python programs for complex problems, making good use of the language’s features such as classes and inheritance.

Pandas for Beginners:

An overview of Pandas
Installing Pandas on your computer
Using the two primary Pandas data structures, Series and DataFrame
Viewing data imported from an external source
Organizing input data using indexing and filtering
Using Pandas for data preprocessing
Addressing missing values and duplicate rows
Formatting your data most efficiently
Processing different data types
Data manipulation using string functions
Date and time formatting

This course bundle includes:

11+ hours of video tutorials
70+ individual video lectures
Certificate of completion
Course and exercise files so you can follow along

Who this course is for:

People looking to learn the Python Programming Language
Beginner Python developer
Those who want to learn and use Pandas library for Python
Python programmers who want to expand their knowledge and learn object-oriented programming
Data Analysts who wants to use Python

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

What you'll learn

Explore related topics

Course content

Intro to Python: The Workplace Tech Divide6 lectures • 6min

Intro to Python: Introduction to Python5 lectures • 11min

Intro to Python: Basic Data Types6 lectures • 28min

Intro to Python: Python Built-In Functions4 lectures • 11min

Intro to Python: Variables and Functions7 lectures • 39min

Intro to Python: Errors and Debugging6 lectures • 21min

Intro to Python: Python Keywords4 lectures • 15min

Intro to Python: If-Else Statements5 lectures • 22min

Intro to Python: Storing Complex Data6 lectures • 44min

Intro to Python: Python Modules3 lectures • 15min

Requirements

Description

Who this course is for: