Python for beginners- Create 10 Useful Projects Step by Step

Python for beginners: Create 10 Useful Projects Step by Step, available at $49.99, has an average rating of 4.08, with 154 lectures, based on 6 reviews, and has 67 subscribers.

You will learn about Learn how to setup a Python Development Environment Learn about Python Data Types Learn how to create Variables Learn about Python Data structures Learn about Python Control flow Statements Learn about Python Functions Learn OOP -Object Oriented Programming Learn about Modules and Packages Learn how to create and activate virtual environments Learn ways to interact with Python Learn about Python Expressions Learn about Python Statements Learn how to indent your code Learn how to add Comments to your code This course is ideal for individuals who are Beginners to Python or Beginners to programming It is particularly useful for Beginners to Python or Beginners to programming.

Enroll now: Python for beginners: Create 10 Useful Projects Step by Step

Summary

Title: Python for beginners: Create 10 Useful Projects Step by Step

Price: $49.99

Average Rating: 4.08

Number of Lectures: 154

Number of Published Lectures: 154

Number of Curriculum Items: 154

Number of Published Curriculum Objects: 154

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will Learn

Learn how to setup a Python Development Environment

Learn about Python Data Types

Learn how to create Variables

Learn about Python Data structures

Learn about Python Control flow Statements

Learn about Python Functions

Learn OOP -Object Oriented Programming

Learn about Modules and Packages

Learn how to create and activate virtual environments

Learn ways to interact with Python

Learn about Python Expressions

Learn about Python Statements

Learn how to indent your code

Learn how to add Comments to your code

Who Should Attend

Beginners to Python

Beginners to programming

Target Audiences

Beginners to Python

Beginners to programming

Python is a dynamic modern object -oriented programming language that is easy to learn and can be used to do a lot of things both big and small. Python is what is referred to as a high level language. That means it is a language that is closer to humans than computer. It is also known as a general purpose programming language due to it’s flexibility.

Python has become one of the most popular programming languages in the world in recent years. It’s used in everything from machine learning to building websites and software testing. It can be used by developers and non-developers alike.

Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn’t specialized for any specific problems. This versatility, along with its beginner-friendliness, has made it one of the most-used programming languages today.

In this course, you  learn the basics of  graphical user interface (GUI) programming. The primary GUI toolkit we will be using is Tk, Python’s default  GUI. We’ll access Tk from its Python interface called Tkinter (short for “Tk interface”).Tkinter is Python’s default GUI library Python, along with Tkinter, provides a fast and exciting way to build useful applications

We will create the following projects:

App to download youtube videos

App to convert mp4 videos to Mp3 Audio

Image slider

Currency converter

App to play MP3

Digital calculator

Loan Calculator

Convert text to speech

Digital clock

Random Password Generator

Course Curriculum

Chapter 1: Setting Up Python

Lecture 1: Introduction

Lecture 2: What is Python

Lecture 3: Install Python on Windows

Lecture 4: Install Python on Macs

Lecture 5: Install Pycharm on Windows

Lecture 6: Install Pycharm on Macs

Lecture 7: Pycharm configuration on Windows

Lecture 8: Pycharm Configuration on Windows – Part 2

Lecture 9: Pycharm configuration on Macs

Lecture 10: High and low level programming languages

Lecture 11: Compilers and Interpreters

Lecture 12: Install Atom Text Editor

Chapter 2: Ways to interact with Python

Lecture 1: Create a directory for Python Files

Lecture 2: Interacting with Python – Part 1

Lecture 3: Interacting with Python – Part 2

Lecture 4: Python Expressions

Lecture 5: Python Statements

Lecture 6: Code Comments

Lecture 7: Code Indentation

Lecture 8: What are Variables ?

Lecture 9: Creating Variables

Lecture 10: Getting input from users

Lecture 11: What are Algorithms

Chapter 3: Python Data Types

Lecture 1: Number Data Type

Lecture 2: String Data Type

Lecture 3: Boolean Data Type

Lecture 4: Casting Data Types

Chapter 4: Python Data Structures

Lecture 1: What is a Python List

Lecture 2: Create a Python List

Lecture 3: Accessing elements in a List

Lecture 4: What is a Python Tuple

Lecture 5: Python Tuple -Part 2

Lecture 6: What is a Python Dictionary

Lecture 7: Python Dictionary – Part 2

Chapter 5: Python Functions

Lecture 1: What are Function

Lecture 2: Using Python Return Keyword

Lecture 3: Using Default value

Lecture 4: Using Keyword Arguments

Lecture 5: Global and Local Scopes Variables

Lecture 6: Function Pass keyword

Lecture 7: Using Var Args parameter

Lecture 8: Anonymous functions

Chapter 6: Control Flow Statements

Lecture 1: What are control flow statements

Lecture 2: if statements

Lecture 3: Else statements

Lecture 4: elif statements

Lecture 5: While loops

Lecture 6: for loops

Lecture 7: Nested for loops

Chapter 7: Object Oriented Programming with Python

Lecture 1: What is OOP ?

Lecture 2: Creating a Class

Lecture 3: Instantiating a class

Lecture 4: Modifying classes

Lecture 5: Class and instance Variables

Lecture 6: Inheritance – Part 1

Lecture 7: Inheritance – Part 2

Lecture 8: Inheritance – Part 3

Lecture 9: Inheritance – Part 4

Lecture 10: Polymorphism – Part 1

Lecture 11: Polymorphism – Part 2

Lecture 12: Polymorphism – Part 3

Lecture 13: Encapsulation – Part 1

Lecture 14: Encapsulation – Part 2

Lecture 15: Encapsulation – Part 3

Lecture 16: Abstraction – Part 1

Lecture 17: Abstraction – Part 2

Chapter 8: Python Modules and Packages

Lecture 1: What are Modules

Lecture 2: How to use modules

Lecture 3: Built in modules

Lecture 4: Python Packages

Lecture 5: Python dir function

Lecture 6: Pycache directory

Chapter 9: Project 1: Image Slider

Lecture 1: What is tkinter

Lecture 2: What we will create

Lecture 3: Project design sketch

Lecture 4: Creating Python File and Importing Modules

Lecture 5: Create a Python Class

Lecture 6: Adding methods to class

Lecture 7: Testing Application

Lecture 8: Source code

Chapter 10: Project 2: Currency Converter

Lecture 1: What we will create

Lecture 2: Project design sketch

Lecture 3: Creating a python file

Lecture 4: Building the application part 1

Lecture 5: Building the application part 2

Lecture 6: Building the application part 3

Lecture 7: Building the application part 4

Lecture 8: Building the application part 5

Lecture 9: Testing Application

Lecture 10: Source code

Instructors

Skill Tree
Skill based learning

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3 stars: 2 votes

4 stars: 2 votes

5 stars: 2 votes

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