Tkinter & Python Gui For Desktop Application Development

Tkinter Python & Python Gui with Python Programming | Learn Python Tkinter with hands-on python gui desktop application

What you'll learn

Tkinter is a Python binding to the Tk GUI toolkit. It is the standard Python interface to the Tk GUI toolkit, and is Python's de facto standard GUI.

Tkinter python is included with standard GNU/Linux, Microsoft Windows and macOS installs of Python. The name Tkinter comes from Tk interface

Python Tkinter is the de facto way in Python to Graphical User interfaces (GUIs) and is included in all standard Python Distributions.

Object Oriented Programming with methods, constructors, magic methods and most importantly inheritance concept.

Graphical User Interface (GUI), a computer program that enables a person to communicate with a computer through the use of symbols, metaphors, pointing devices

Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science, Python is one of the most important skills

Installing Anaconda Distribution for Windows

Installing Anaconda Distribution for MacOs

Installing Anaconda Distribution for Linux

Reviewing The Jupyter Notebook

Reviewing The Jupyter Lab

Python Introduction

First Step to Coding

Using Quotation Marks in Python Coding

How Should the Coding Form and Style Be (Pep8)

Introduction to Basic Data Structures in Python

Performing Assignment to Variables

Performing Complex Assignment to Variables

Type Conversion

Arithmetic Operations in Python

Examining the Print Function in Depth

Escape Sequence Operations

Boolean Logic Expressions

Order Of Operations In Boolean Operators

Practice with Python

Examining Strings Specifically

Accessing Length Information (Len Method)

Search Method In Strings Startswith(), Endswith()

Character Change Method In Strings Replace()

Spelling Substitution Methods in String

Character Clipping Methods in String

Indexing and Slicing Character String

Complex Indexing and Slicing Operations

String Formatting with Arithmetic Operations

String Formatting With % Operator

String Formatting With String Format Method

String Formatting With f-string Method

Creation of List

Reaching List Elements – Indexing and Slicing

Adding & Modifying & Deleting Elements of List

Adding and Deleting by Methods

Adding and Deleting by Index

Other List Methods

Creation of Tuple

Reaching Tuple Elements Indexing And Slicing

Creation of Dictionary

Reaching Dictionary Elements

Adding & Changing & Deleting Elements in Dictionary

Dictionary Methods

Creation of Set

Adding & Removing Elements Methods in Sets

Difference Operation Methods In Sets

Intersection & Union Methods In Sets

Asking Questions to Sets with Methods

Comparison Operators

Structure of “if” Statements

Structure of “if-else” Statements

Structure of “if-elif-else” Statements

Structure of Nested “if-elif-else” Statements

Coordinated Programming with “IF” and “INPUT”

Ternary Condition

For Loop in Python

For Loop in Python(Reinforcing the Topic)

Using Conditional Expressions and For Loop Together

Continue Command

Break Command

List Comprehension

While Loop in Python

While Loops in Python Reinforcing the Topic

Getting know to the Functions

How to Write Function

Return Expression in Functions

Writing Functions with Multiple Argument

Writing Docstring in Functions

Using Functions and Conditional Expressions Together

Arguments and Parameters

High Level Operations with Arguments

all(), any() Functions

map() Function

filter() Function

zip() Function

enumerate() Function

max(), min() Functions

sum() Function

round() Function

Lambda Function

Local and Global Variables

Features of Class

Instantiation of Class

Attribute of Instantiation

Write Function in the Class

Inheritance Structure

Requirements

A working computer (Windows, Mac, or Linux)

No prior knowledge of Python for beginners is required

Motivation to learn the the second largest number of job postings relative program language among all others

Desire to learn machine learning python

Curiosity for python programming

Desire to learn python programming, pycharm, python pycharm

Nothing else! It’s just you, your computer and your ambition to get started today

Description

Hello there,Welcome to the " Tkinter & Python Gui for Desktop Application Development " course.Tkinter Python & Python Gui with Python Programming | Learn Python Tkinter with hands-on python gui desktop applicationTkinter is a Python binding to the Tk GUI toolkit. It is the standard Python interface to the Tk GUI toolkit and is Python's de-facto standard GUI. Tkinter is included with standard GNU/Linux, Microsoft Windows and macOS installs of Python. The name Tkinter comes from the Tk interface. Tkinter, Python Gui, tkinter python, python tkinter, gui, Python GUI, desktop application development, desktop application, python gui programmingTkinter is the de facto way in Python to Graphical User interfaces (GUIs) and is included in all standard Python Distributions.  Python has a lot of GUI frameworks, but Tkinter is the only framework that's built into the Python standard library. In fact, it's the only framework built into the Python standard library.Tkinter is the standard GUI library for Python. Python when combined with Tkinter provides a fast and easy way to create GUI applications. Tkinter provides a powerful object-oriented interface to the Tk GUI toolkit.Python instructors at OAK Academy specialize in everything from software development to data analysis and are known for their effective, friendly instruction for students of all levels.Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn.Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks.In this course, we will learn what is the GUI, and Tkinter and how they work. And also how we create a program with GUI in python. For those who want to use Python not only in AI and Data Science, but also to develop a program using Python. Also you will have down-to-earth way explanations of hands-on projects. With my course, you will learn Python Programming step-by-step. I made Python 3 programming simple and easy with exercises, challenges, and lots of real-life examples.And in this course, We will open the door of the Python world and try to move deeper. We will learn fundamental things about Python, step by step. Throughout the course, we will do a variety of exercises to reinforce what we have learned.Creating a GUI application using Tkinter is an easy task. All you need to do is perform the following steps −Import the Tkinter module.Create the GUI application main window.Add one or more of the above-mentioned widgets to the GUI application.Enter the main event loop to take action against each event triggered by the user.This course has suitable for everybody who is interested in Python. Python is a general-purpose, object-oriented, high-level programming language. Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. See why millions of people turn to Oak Academy’s real-world experts to learn Python. Learn at your own pace with hands-on exercises and quizzes. Our courses are frequently updated so you’ll always be working from the latest information. This is the training you’ll need to become a professional Python developer.Take one of Oak Academy’s range of Python courses and learn how to code using this incredibly useful language. Its simple syntax and readability make Python perfect for Flask, Django, data science, and machine learning. You’ll learn how to build everything from games to sites to apps. Choose from a range of courses that will appeal to both beginners and advanced developers alike.As you all know or have guessed, Python is the most powerful programming language used in data science and artificial intelligence. Everyone is talking about it. This is said everywhere. Python is for data science. - But don't we programmers ever wonder?- Can we code an application using Python?- How can we use GUI in Python?- I wonder if we can quickly prepare a user interface?In this course, we will seek answers to these questions with you. First of all, in our course, we will explain the fundamental topics of Python so that those who are new to Python can understand it. These fundamental topics will include the most powerful and important topics of both Python and software development, such as OOP. Then we will try to develop some programs with GUI using Python with you. While doing this, we will learn how to do GUI design in Python. We will also learn how to make database connections in Python.Frequently asked questionsWhat is Python?Python is a general-purpose, object-oriented, high-level programming language. Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed on the premise that there should be only one way (and preferably, one obvious way) to do things, a philosophy that resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing different tools for programmers suited for a variety of tasks.What is a Tkinter in Python?Tkinter is Python's de-facto standard GUI (Graphical User Interface) package. It is a thin object-oriented layer on top of Tcl/Tk. Tkinter is not the only GuiProgramming toolkit for Python. It is however the most commonly used one.What is the easiest GUI for Python?Tkinter is one of the most popular GUI libraries in Python. It is one of the first choices for beginners to GUI development because of its simple and easy-to-learn syntax.Is tkinter easy?If your goal is to learn how to create GUIs, tkinter is arguably one of the best toolkits there is to reach that goal. It's simple and easy to learn and can provide a fantastic introduction to concepts you must master in order to create graphical desktop applications.Why tkinter is used in Python?Tkinter is the standard GUI library for Python. Python when combined with Tkinter provides a fast and easy way to create GUI applications. Tkinter provides a powerful object-oriented interface to the Tk GUI toolkit.Is tkinter included in PyCharm?The Tkinter library is built-in with every Python installation, so it's already installed in PyCharm per default. This means that you have to do nothing else but run “ import tkinter ” or “ import tkinter as tk ” in your Python 3 script without installation.What does it mean that Python is object-oriented?Python is a multi-paradigm language, which means that it supports many programming approaches. Along with procedural and functional programming styles, Python also supports the object-oriented style of programming. In object-oriented programming, a developer completes a programming project by creating Python objects in code that represent objects in the actual world. These objects can contain both the data and functionality of the real-world object. To generate an object in Python you need a class. You can think of a class as a template. You create the template once, and then use the template to create as many objects as you need. Python classes have attributes to represent data and methods that add functionality. A class representing a car may have attributes like color, speed, and seats and methods like driving, steering, and stopping.What is GUI programming?Graphical User Interface (GUI), a computer program that enables a person to communicate with a computer through the use of symbols, visual metaphors, and pointing devices.Why Python is used for GUI?Python has a huge number of GUI frameworks (or toolkits) available for it, from TkInter (traditionally bundled with Python, using Tk) to a number of other cross-platform solutions, as well as bindings to platform-specific (also known as "native") technologies.What are the limitations of Python?Python is a widely used, general-purpose programming language, but it has some limitations. Because Python is an interpreted, dynamically typed language, it is slow compared to a compiled, statically typed language like C. Therefore, Python is useful when speed is not that important. Python's dynamic type system also makes it use more memory than some other programming languages, so it is not suited to memory-intensive applications. The Python virtual engine that runs Python code runs single-threaded, making concurrency another limitation of the programming language. Though Python is popular for some types of game development, its higher memory and CPU usage limits its usage for high-quality 3D game development. That being said, computer hardware is getting better and better, and the speed and memory limitations of Python are getting less and less relevant making Python even more popular.How is Python used?Python is a general programming language used widely across many industries and platforms. One common use of Python is scripting, which means automating tasks in the background. Many of the scripts that ship with Linux operating systems are Python scripts. Python is also a popular language for machine learning, data analytics, data visualization, and data science because its simple syntax makes it easy to quickly build real applications. You can use Python to create desktop applications. Many developers use it to write Linux desktop applications, and it is also an excellent choice for web and game development. Python web frameworks like Flask and Django are a popular choice for developing web applications. Recently, Python is also being used as a language for mobile development via the Kivy third-party library, although there are currently some drawbacks Python needs to overcome when it comes to mobile development.What skills or experience should I have before learning Python?Python is often taught in college-level classes because it is well-suited to being someone's first programming language. So, while it can be easier to learn Python if you already know Java, JavaScript, or other common languages, it isn't necessary. Before you learn Python, it might be helpful to understand the basics of programming logic, such as "if/then" gates, "while/for" loops and procedural vs. objective programming. You might also want to understand how applications get built, the difference between frontend and backend programming, and how computers utilize given applications. Udemy has a lot of beginner courses that can help you pick up Python quickly.What jobs use Python?Python is a popular language that is used across many industries and in many programming disciplines. DevOps engineers use Python to script website and server deployments. Web developers use Python to build web applications, usually with one of Python's popular web frameworks like Flask or Django. Data scientists and data analysts use Python to build machine learning models, generate data visualizations, and analyze big data. Financial advisors and quants (quantitative analysts) use Python to predict the market and manage money. Data journalists use Python to sort through information and create stories. Machine learning engineers use Python to develop neural networks and artificial intelligent systems.Our goal is to learn how to write a program using Python at the end of the course. Are you excited? Because I'm excited.Why would you want to take this course?  Our answer is simple: The quality of teaching. When you enroll, you will feel the OAK Academy`s seasoned developers' expertise.  Video and Audio Production QualityAll our videos are created/produced as high-quality video and audio to provide you the best learning experience. You will be,Seeing clearlyHearing clearlyMoving through the course without distractions You'll also get:Lifetime Access to The CourseFast & Friendly Support in the Q&A sectionUdemy Certificate of Completion Ready for DownloadDive in now!We offer full support, answering any questions.See you in the " Tkinter & Python Gui for Desktop Application Development " course.Tkinter Python & Python Gui with Python Programming | Learn Python Tkinter with hands-on python gui desktop application

Overview

Section 1: Installations

Lecture 1 Installing Anaconda Distribution for Windows

Lecture 2 Installing Anaconda Distribution for MacOs

Lecture 3 Installing Anaconda Distribution for Linux

Lecture 4 Reviewing The Jupyter Notebook

Lecture 5 Reviewing The Jupyter Lab

Lecture 6 Overview of Jupyter Notebook and Google Colab

Lecture 7 Installing PyCharm for Windows

Lecture 8 Installing PyCharm for Mac

Section 2: First Step to Coding

Lecture 9 Python Introduction

Lecture 10 Project Files

Lecture 11 First Step to Coding

Lecture 12 Using Quotation Marks in Python Coding

Lecture 13 How Should the Coding Form and Style Be (Pep8)

Section 3: Basic Operations with Python

Lecture 14 Introduction to Basic Data Structures in Python

Lecture 15 Performing Assignment to Variables

Lecture 16 Performing Complex Assignment to Variables

Lecture 17 Type Conversion

Lecture 18 Arithmetic Operations in Python

Lecture 19 Examining the Print Function in Depth

Lecture 20 Escape Sequence Operations

Section 4: Boolean Data Type in Python Programming Language

Lecture 21 Boolean Logic Expressions

Lecture 22 Order Of Operations In Boolean Operators

Lecture 23 Practice with Python

Section 5: String Data Type in Python Programming Language

Lecture 24 Examining Strings Specifically

Lecture 25 Accessing Length Information (Len Method)

Lecture 26 Search Method In Strings Startswith(), Endswith()

Lecture 27 Character Change Method In Strings Replace()

Lecture 28 Spelling Substitution Methods in String

Lecture 29 Character Clipping Methods in String

Lecture 30 Indexing and Slicing Character String

Lecture 31 Complex Indexing and Slicing Operations

Lecture 32 String Formatting with Arithmetic Operations

Lecture 33 String Formatting With % Operator

Lecture 34 String Formatting With String.Format Method

Lecture 35 String Formatting With f-string Method

Section 6: List Data Structure in Python Programming Language

Lecture 36 Creation of List

Lecture 37 Reaching List Elements – Indexing and Slicing

Lecture 38 Adding & Modifying & Deleting Elements of List

Lecture 39 Adding and Deleting by Methods

Lecture 40 Adding and Deleting by Index

Lecture 41 Other List Methods

Section 7: Tuple Data Structure in Python Programming Language

Lecture 42 Creation of Tuple

Lecture 43 Reaching Tuple Elements Indexing And Slicing

Section 8: Dictionary Data Structure in Python Programming Language

Lecture 44 Creation of Dictionary

Lecture 45 Reaching Dictionary Elements

Lecture 46 Adding & Changing & Deleting Elements in Dictionary

Lecture 47 Dictionary Methods

Section 9: Set Data Structure in Python Programming Language

Lecture 48 Creation of Set

Lecture 49 Adding & Removing Elements Methods in Sets

Lecture 50 Difference Operation Methods In Sets

Lecture 51 Intersection & Union Methods In Sets

Lecture 52 Asking Questions to Sets with Methods

Section 10: Conditional Expressions in Python Programming Language

Lecture 53 Comparison Operators

Lecture 54 Structure of “if” Statements

Lecture 55 Structure of “if-else” Statements

Lecture 56 Structure of “if-elif-else” Statements

Lecture 57 Structure of Nested “if-elif-else” Statements

Lecture 58 Coordinated Programming with “IF” and “INPUT”

Lecture 59 Ternary Condition

Section 11: For Loop in Python Programming Language

Lecture 60 For Loop in Python

Lecture 61 For Loop in Python(Reinforcing the Topic)

Lecture 62 Using Conditional Expressions and For Loop Together

Lecture 63 Continue Command

Lecture 64 Break Command

Lecture 65 List Comprehension

Section 12: While Loop in Python Programming Language

Lecture 66 While Loop in Python

Lecture 67 While Loops in Python Reinforcing the Topic

Section 13: Functions in Python Programming Language

Lecture 68 Getting know to the Functions

Lecture 69 How to Write Function

Lecture 70 Return Expression in Functions

Lecture 71 Writing Functions with Multiple Argument

Lecture 72 Writing Docstring in Functions

Lecture 73 Using Functions and Conditional Expressions Together

Section 14: Arguments And Parameters in Python Programming Language

Lecture 74 Arguments and Parameters

Lecture 75 High Level Operations with Arguments

Section 15: Most Used Functions in Python Programming Language

Lecture 76 all(), any() Functions

Lecture 77 map() Function

Lecture 78 filter() Function

Lecture 79 zip() Function

Lecture 80 enumerate() Function

Lecture 81 max(), min() Functions

Lecture 82 sum() Function

Lecture 83 round() Function

Lecture 84 Lambda Function

Section 16: Class Structure in Python Programming Language

Lecture 85 Local and Global Variables

Lecture 86 Features of Class

Lecture 87 Instantiation of Class

Lecture 88 Attribute of Instantiation

Lecture 89 Write Function in the Class

Lecture 90 Inheritance Structure

Section 17: Object Oriented Programming

Lecture 91 Logic of OOP (Object-oriented Programming)

Lecture 92 OOP : Constructor

Lecture 93 OOP : Methods

Lecture 94 OOP : Inheritance

Lecture 95 OOP : Overriding and Overloading

Section 18: Introduction to Tkinter

Lecture 96 What is GUI

Lecture 97 Tkinter Project File Link - Tkinter Python & Python GUI with Tkinter Desktop App

Lecture 98 First Step

Section 19: Basic Components in Tkinter

Lecture 99 Adding Components – I

Lecture 100 Example: BMI Calculator

Lecture 101 Adding Components – II

Lecture 102 Adding Components – III

Section 20: Tkinter Layout Managements

Lecture 103 Layout Management – I

Lecture 104 Layout Management – II

Section 21: Geometry Manager

Lecture 105 Geometry Manager - I

Lecture 106 Geometry Manager - II

Section 22: Customization in Tkinter

Lecture 107 Customization in Tkinter - I

Lecture 108 Customization in Tkinter - II

Lecture 109 Customization in Tkinter - III

Section 23: Tkinter Python Examples

Lecture 110 Tkinter Example: Russian Roulette

Lecture 111 Tkinter Example: Pomodoro Timer

Section 24: Styles and Themes

Lecture 112 Improving the Look with Styles and Themes

Section 25: Examples

Lecture 113 Tkinter Example: Calculator

Lecture 114 Tkinter Example: Rock – Paper – Scissors Game

Lecture 115 Tkinter Example: Password Vault

Section 26: Extra

Lecture 116 Tkinter & Python Gui for Desktop Application Development

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