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

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Python Programming Bundle Intro to Python, Pandas, and OOP [TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP 12. Intro to Python Project Automate Data Updates For a Spreadsheet
  • 6. Transform and Validate Transactions.mp4 (188.8 MB)
  • 7. Transfer and Save Transactions.mp4 (165.2 MB)
  • 8. Clean Up the Code.mp4 (161.7 MB)
  • 3. Reading and Writing to Excel Files.mp4 (153.5 MB)
  • 4. Working with CSV Files.mp4 (116.1 MB)
  • 9. Hardening the Script.mp4 (94.5 MB)
  • 2. Setting Up Project.mp4 (91.4 MB)
  • 5. Dynamic File Paths.mp4 (86.4 MB)
  • 1. Project Introduction.mp4 (25.3 MB)
1. Intro to Python The Workplace Tech Divide
  • 4.1 Intro to Python Project Files.zip (32.9 KB)
  • 3. DOWNLOAD ME Course Exercise Files.html (0.9 KB)
  • 4. DOWNLOAD ME Course Project Files.html (0.9 KB)
  • 3.1 Intro to Python Exercise Files.zip (3.1 KB)
  • 2. WATCH ME Essential Information for a Successful Training Experience.mp4 (37.6 MB)
  • 6. Course Overview.mp4 (12.5 MB)
  • 5. Beginners Are Welcome.mp4 (8.7 MB)
  • 1. Which Side of the Divide Are You On.mp4 (6.4 MB)
14. Object-Oriented Programming Basics of Object Oriented Programming
  • 4.1 OOP Course Files.zip (17.9 KB)
  • 3.1 OOP Exercises Files.zip (3.3 KB)
  • 4. DOWNLOAD ME Course Instructor Files.html (0.9 KB)
  • 3. DOWNLOAD ME Course Exercise Files.html (0.9 KB)
  • 10. Section Quiz.html (0.2 KB)
  • 9. Using a Class Inside Another Class.mp4 (55.1 MB)
  • 6. Creating Bank Account Object Attributes.mp4 (54.0 MB)
  • 2. WATCH ME Essential Information for a Successful Training Experience.mp4 (37.7 MB)
  • 7. Creating Bank Account Object Methods.mp4 (37.1 MB)
  • 5. Introduction to Object Oriented Programming.mp4 (32.8 MB)
  • 1. Course Introduction.mp4 (29.3 MB)
  • 8. Printing Objects.mp4 (24.9 MB)
19. Pandas Course Introduction
  • 3. DOWNLOAD ME Course Instructor Files.html (0.9 KB)
  • 3.1 Pandas for Beginners Course Files.zip (413.9 KB)
  • 4. Pandas Installation.mp4 (38.8 MB)
  • 2. WATCH ME Essential Information for a Successful Training Experience.mp4 (34.6 MB)
  • 1. Introduction to Pandas.mp4 (23.1 MB)
3. Intro to Python Basic Data Types
  • 7. Section Quiz.html (0.2 KB)
  • 6. Data Types Exercise.mp4 (52.4 MB)
  • 2. Strings.mp4 (29.6 MB)
  • 5. Boolean.mp4 (18.8 MB)
  • 3. Integers.mp4 (15.4 MB)
  • 4. Floats.mp4 (10.3 MB)
  • 1. Python Data Types.mp4 (5.2 MB)
4. Intro to Python Python Built-In Functions
  • 5. Section Quiz.html (0.2 KB)
  • 3. Most Common Built In Functions.mp4 (26.3 MB)
  • 4. Built In Functions Exercise.mp4 (20.4 MB)
  • 2. Where to Look For Built-In Functions.mp4 (20.3 MB)
  • 1. What is a Built-In Function.mp4 (3.9 MB)
5. Intro to Python Variables and Functions
  • 8. Section Quiz.html (0.2 KB)
  • 5. Functions.mp4 (36.5 MB)
  • 7. Variables and Functions Exercise.mp4 (33.9 MB)
  • 3. Comparing Variables with Operators.mp4 (31.0 MB)
  • 4. Basic Expressions.mp4 (27.5 MB)
  • 2. Storing Values as Variables.mp4 (18.9 MB)
  • 1. Variables and Functions.mp4 (17.8 MB)
  • 6. Commenting.mp4 (11.9 MB)
6. Intro to Python Errors and Debugging
  • 7. Section Quiz.html (0.2 KB)
  • 6. Errors Exercise.mp4 (29.6 MB)
  • 5. You Are Not Alone.mp4 (24.2 MB)
  • 2. Reading a Stack Trace.mp4 (21.7 MB)
  • 4. Try and Except.mp4 (21.2 MB)
  • 1. What is an Error.mp4 (10.3 MB)
  • 3. Print Function print().mp4 (10.2 MB)
7. Intro to Python Python Keywords
  • 5. Section Quiz.html (0.2 KB)
  • 2. Common keywords.mp4 (22.7 MB)
  • 3. Global.mp4 (20.1 MB)
  • 4. Keywords Exercise.mp4 (18.3 MB)
  • 1. Python Keywords.mp4 (12.4 MB)
8. Intro to Python If-Else Statements
  • 6. Section Quiz.html (0.2 KB)
  • 4. Complex If-Else Statements.mp4 (34.7 MB)
  • 5. If-Else Exercises.mp4 (30.1 MB)
  • 3. Value Evaluation.mp4 (17.4 MB)
  • 2. Syntax and Inline Evaluation.mp4 (14.9 MB)
  • 1. Basic Logic.mp4 (7.2 MB)
9. Intro to Python Storing Complex Data
  • 7. Section Quiz.html (0.2 KB)
  • 4. Looping Lists.mp4 (45.1 MB)
  • 2. Lists.mp4 (43.7 MB)
  • 3. Dictionaries.mp4 (37.4 MB)
  • 6. Advanced Data Exercise.mp4 (32.8 MB)
  • 5. Looping Dictionaries.mp4 (20.7 MB)
  • 1. Advanced Data Types.mp4 (9.3 MB)
15. Object-Oriented Programming Inheritance and Abstraction
  • 5. Section Quiz.html (0.2 KB)
  • 1. Class Inheritance.mp4 (81.5 MB)
  • 4. Abstract Methods.mp4 (76.9 MB)
  • 2. Inheritance and Method Resolution Order Part 1.mp4 (48.7 MB)
  • 3. Inheritance and Method Resolution Order Part 2.mp4 (29.4 MB)
16. Object-Oriented Programming Class Level vs Object Level
  • 6. Section Quiz.html (0.2 KB)
  • 2. Different Methods Inside the Class Part 1.mp4 (64.1 MB)
  • 3. Different Methods Inside the Class Part 2 Use Cases.mp4 (59.9 MB)
  • 1. Class Attribute vs Object Attribute.mp4 (48.4 MB)
  • 4. Assignment 01.mp4 (22.9 MB)
  • 5. Assignment 02.mp4 (12.1 MB)
17. Object-Oriented Programming Encapsulation
  • 5. Section Quiz.html (0.2 KB)
  • 1. Public and Private.mp4 (79.3 MB)
  • 2. Getters and Setters.mp4 (59.0 MB)
  • 3. Methods as Attributes.mp4 (48.7 MB)
  • 4. Assignment 03.mp4 (40.1 MB)
18. Object-Oriented Programming Magic Functions
  • 9. Section Quiz.html (0.2 KB)
  • 3. Make Your Objects Comparable.mp4 (100.1 MB)
  • 2. Make Your Objects Iterable.mp4 (84.2 MB)

Description


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

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

Last Updated 9/2022



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


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


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