Python 3 Foundations Complete Masterclass

Python 3 Foundations Complete Masterclass, available at $64.99, has an average rating of 4.6, with 87 lectures, 17 quizzes, based on 26 reviews, and has 3042 subscribers.

You will learn about Be able to write Python scripts and programs Understand Python Data Types and Data Structures Understand Python Functions, Lambda and Decorators Learn OOP(Object Oriented Programming) and Python Classes Create and use Python Modules Use pip and PyPI to set up a virtualenv and install modules Read and Write to Files with Python This course is ideal for individuals who are Beginners with no Programming Experience or Anyone who wants to learn the Python Programming Language or Programmers who want to get a deeper foundational understanding of Python It is particularly useful for Beginners with no Programming Experience or Anyone who wants to learn the Python Programming Language or Programmers who want to get a deeper foundational understanding of Python.

Enroll now: Python 3 Foundations Complete Masterclass

Summary

Title: Python 3 Foundations Complete Masterclass

Price: $64.99

Average Rating: 4.6

Number of Lectures: 87

Number of Quizzes: 17

Number of Published Lectures: 85

Number of Published Quizzes: 17

Number of Curriculum Items: 104

Number of Published Curriculum Objects: 102

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will Learn

Be able to write Python scripts and programs

Understand Python Data Types and Data Structures

Understand Python Functions, Lambda and Decorators

Learn OOP(Object Oriented Programming) and Python Classes

Create and use Python Modules

Use pip and PyPI to set up a virtualenv and install modules

Read and Write to Files with Python

Who Should Attend

Beginners with no Programming Experience

Anyone who wants to learn the Python Programming Language

Programmers who want to get a deeper foundational understanding of Python

Target Audiences

Beginners with no Programming Experience

Anyone who wants to learn the Python Programming Language

Programmers who want to get a deeper foundational understanding of Python

If you are considering learning to program, this course will help you understand common programming concepts and one of the most popular programming languages.

The whole course also only uses resources that are available to all operating systems so that you can follow along from Windows, Linux or MacOS.

Why take this course?

There are a lot of Python courses our there, so why take this one?

While you may get sick of looking at me, studies have shown that being able to see someone while they are talking improves comprehension and understanding, which is why I will be in the corner of each video unlike most courses.

The Video and Audio quality of this course is high which will also make it easier to follow.

In this course we will put things in an order that makes sense, and focus on a complete understanding of Python basics.

Learning Path:

In this course we are going to start from nothing and build a strong foundation to prepare you to understand and work with the Python programming language.

1. Install and Getting Started

2. Variables

3. Operators and Conditional Statements

After we have a foundational understanding of how to write some Python code, we take our first steps to manage basic variables and create procedural programming logic

1. Data Structures

2. Loops

3. File Interaction

Once we have an understanding of procedural logic and workflows we can start making things more powerful and reusable with Functions and Classes

1. Functions

2. Classes & OOP

And finally after we have made our logic dynamic, we can also make our programs themselves dynamic by breaking up our code into multiple Modules, and talking about how we can add common modules to our projects

1. Modules

2. pip & virtualenv

If you are new to software development, congratulations on starting your journey to become a developer! I look forward to seeing you inside!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome!

Lecture 2: Install List

Lecture 3: Install Python Windows

Lecture 4: Install Python MacOS

Lecture 5: Install Python Linux

Lecture 6: Install VS Code

Lecture 7: Get Code Repository

Lecture 8: How To Learn More Easily

Lecture 9: Terminal Navigation

Lecture 10: Hello World

Chapter 2: Variables

Lecture 1: Variables Theory

Lecture 2: Numeric Variable Types

Lecture 3: Non-Numeric Types

Lecture 4: Multiple Assignment

Chapter 3: Operators & Conditionals

Lecture 1: Operators & Conditionals Theory

Lecture 2: Math Operators

Lecture 3: Conditional Statements

Lecture 4: try & except

Lecture 5: if & elif & else

Lecture 6: walrus

Lecture 7: match & case

Chapter 4: Data Structures

Lecture 1: Data Structures Theory

Lecture 2: Lists part 1 – declare, add and remove

Lecture 3: Lists part 2 – split, join & replace

Lecture 4: Lists part 3 – sort

Lecture 5: Lists part 4 – slice

Lecture 6: Lists part 5 – splat

Lecture 7: Lists part 6 – search and filter

Lecture 8: Sets

Lecture 9: Ranges

Lecture 10: Matrices

Lecture 11: Dictionaries

Lecture 12: Tuples

Chapter 5: Loops

Lecture 1: Loops Theory

Lecture 2: for

Lecture 3: while

Lecture 4: continue

Lecture 5: break

Chapter 6: File Interactions

Lecture 1: File Interaction Theory

Lecture 2: write

Lecture 3: read

Lecture 4: JSON parsing

Lecture 5: Names JSON

Lecture 6: JSON from a file

Lecture 7: JSON Analysis

Lecture 8: JSON to CSV part 1

Lecture 9: Dynamic JSON

Lecture 10: JSON to CSV part 2 – dynamic

Chapter 7: Functions

Lecture 1: Functions Theory

Lecture 2: Basic Function

Lecture 3: Arguments

Lecture 4: return assignment

Lecture 5: return

Lecture 6: *args assignment

Lecture 7: *args

Lecture 8: **kwargs assignment

Lecture 9: **kwargs

Lecture 10: / & * assignment

Lecture 11: / & * arguments

Lecture 12: Dynamic Functions assignment

Lecture 13: Dynamic Functions part 1 – Function as an argument

Lecture 14: Dynamic Functions part 2 – returning a function

Lecture 15: Dynamic Functions part 3 – lambda

Lecture 16: Decorators assignment

Lecture 17: Decorators

Chapter 8: Classes

Lecture 1: Classes Theory

Lecture 2: Basic Class assignment

Lecture 3: Simple Class

Lecture 4: __init__ assignment

Lecture 5: Constructors

Lecture 6: Methods assignment

Lecture 7: Methods

Lecture 8: Inheritance assignment

Lecture 9: Inheritance

Lecture 10: super assignment

Lecture 11: super

Instructors

Dominic Tripodi
Full Stack Developer

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1 stars: 0 votes

2 stars: 0 votes

3 stars: 3 votes

4 stars: 8 votes

5 stars: 15 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!