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:
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App to download youtube videos
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App to convert mp4 videos to Mp3 Audio
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Image slider
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Currency converter
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App to play MP3
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Digital calculator
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Loan Calculator
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Convert text to speech
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Digital clock
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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
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Skill Tree
Skill based learning
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- 4 stars: 2 votes
- 5 stars: 2 votes
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