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In this comprehensive tutorial, you'll embark on a journey to create sleek and modern graphical user interfaces (GUIs) using Python and PyQt, perfect for desktop app development.

Throughout this 7-hour course, you'll dive deep into the fundamentals of Python GUI development, learning essential techniques to build powerful desktop applications.

Whether you're a programming novice or looking to expand your skills, this course is designed to guide you through every step of the process.

You'll gain valuable insights into Python GUI development with interactive real world projects.

💌 Free Weekly Python Insights: https://thenerdnook.substack.com
☕️ Say Thank You, Buy me a Coffee ~ https://www.buymeacoffee.com/codewithjosh


List of Apps You Will Build:
1. Starter App
2. Calculator
3. Image Editor
4. Expense Tracker
5. Interest Rate Finder

Tools You Will Use:
- Python
- PyQt
- SQL
- MatplotLib
- Pillow (PIL)
- Lambda

Plus, PyQt's seamless integration with Python makes it the ideal choice for developers of all levels.

Don't miss out on this opportunity to take your Python skills to the next level and become proficient in building modern GUIs for desktop apps.

🎯 Subscribe ~ https://www.youtube.com/@codew....ithjoshoffical?sub_c

MY OTHER SOCIALS
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💻 GitHub - https://github.com/Joshwen7947

🔹🔹🔹🔹🔹🔹🔹🔹🔹

CHAPTERS:
0:00 - Introducing Code with Josh’s Free GUI Course
2:20 - Our GUI Course Structure
7:22 - Installation Python and VS Code Extensions
10:30 - What is PyQt?
15:46 - The Basics of a Windowed Application
36:55 - Create a Starter App Window
42:07 - Learn to Design with BoxLayout
50:45 - Add Widgets to an Application
57:30 - App Functionality with Signals and Slots
01:02:52 - Build a Calculator App with Python
01:48:14 - Styling with CSS in Python
01:54:09 - Building an Image Editor Application
02:09:45 - Introduction to Pillow (PIL) in Python
02:28:24 - Implement Pillow with PyQt and os module
03:13:30 - Learn to Use Lambda Functions in Python
03:42:53 - Build a SQL Expense Tracker
04:01:41 - Introduction to SQL with Python
05:16:58 - Build an Interest Rate Calculator with Matplotlib
05:50:33 - Introduction to Data Visualization with Matplotlib
06:28:10 - Toggle a Dark Mode
06:40:15 - Graduation of our course


#python #pythoncourse #coding #pythontutorial #course #learnpython #pyqt5 #pyqt #appdevelopment #PythonAppDevelopment #BuildModernGUIs #programmingtutorial #techeducation #codingforbeginners #softwaredevelopment #pythonprogramming #GUIProgramming #PyQtTutorial #learnprogramming #techskills #onlinelearning #pythonforbeginners














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Let's create a desktop application in Python together!

Python source codes : https://l24.im/7BMlCV

In this tutorial, I taught the basics of desktop application development in Python. We determined the dimensions and starting position of a desktop application we created. We've added a photo to our desktop app. In the next videos of the playlist, I'll teach you the basics of desktop app development in Python step-by-step.

I am making a playlist where we will develop desktop applications using Pyqt5 in Python. If you are tired of seeing a black console while learning programming languages, you can develop desktop applications in Python by watching the videos in the playlist in order.

You can see new videos and posts by following our social media accounts!

Youtube Channel ➤ https://l24.im/DzYhx
Instagram ➤ https://l24.im/exaPM
Twitter ➤ https://l24.im/ryzbQ9
Contact address ➤ tescenterinfo@gmail.com

Download QT Designer ➤ https://l24.im/mFKLQUX
Download Python ➤ https://l24.im/W9jEg2e
Download PyCharm ➤ https://l24.im/YHZXc
-----------------------------------------------------------------------------------------------------------------------------------

Video Series:
Python Pyqt5 Tutorial ➤ https://l24.im/jPVh
PYTHON TURTLE TUTORIAL ➤ https://l24.im/b4T3A7d
PYTHON GAME TUTORIAL ➤ https://l24.im/MJ7h

Other videos:
How to make a Twitter Bot in Python? ➤ https://l24.im/u2
Simple Flappy Bird Game in PYTHON ➤ https://l24.im/Eet2
Web automation in python for beginners ➤ https://l24.im/OjqNlf
Instagram automation in python ➤ https://l24.im/aAjiW

Snake Game in PYTHON ➤ https://l24.im/oWrJQs
TIC-TAC-TOE Game in PYTHON ➤ https://l24.im/ceNI
Fidget Game in PYTHON ➤ https://l24.im/pugEqir
Shape Game in PYTHON ➤ https://l24.im/w6MUL
Flappy Bird Game in PYTHON ➤ https://l24.im/W8o
How to install Pyqt5 in Python? ➤ https://l24.im/jPVh

#python #pythondesktopapp

I Create Dashboard in One Minute using Python | Python for beginners | #python #coding #programming

In this video, you'll learn how to build a simple and interactive dashboard using Python and the Dash framework. Dash is a powerful tool for creating dynamic web applications, and in this tutorial, we'll go step-by-step through the process of setting up a dashboard, visualizing data, and making it interactive.

🔧 What you'll learn:

Setting up Dash in Python
Creating interactive charts and graphs
Visualizing data using Plotly
Adding dynamic user input with callbacks
Building a clean, responsive dashboard layout
📚 Libraries used:

Dash
Plotly
Pandas
💡 Sample project covered: A basic dashboard that visualizes data on different fruit sales across cities. This simple project will help you understand how to build real-world applications with Dash!

🚀 By the end of this tutorial, you'll be able to:

Create a full-featured web dashboard with Python
Customize and style your dashboards for different use cases
Understand how to make data interactive using callbacks in Dash

🔔 Don't forget to subscribe for more Python tutorials, and let me know in the comments what dashboard features you'd like to see in future videos!

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Practice Python Quizes 👇:
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Learn Python basics in 1 hour! ⚡ Get 6 months of PyCharm FREE with the coupon in the description!

🚀 Want to dive deeper? Check out my Python mastery course:
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- Hindi (हिन्दी) edition: https://mosh.link/python-course-hindi
- Subscribe for more Python tutorials like this: https://goo.gl/6PYaGF

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⭐ Related tutorials
https://youtu.be/yVl_G-F7m8c?si=11emtFyDccTKCGn7

📖 TABLE OF CONTENT
0:00:00 Introduction
0:00:30 What You Can Do With Python
0:01:15 Your First Python Program
0:05:30 Variables
0:09:08 Receiving Input
0:10:48 Type Conversion
0:18:49 Strings
0:23:41 Arithmetic Operators
0:25:59 Operator Precedence
0:27:11 Comparison Operators
0:28:52 Logical Operators
0:31:06 If Statements
0:36:16 Exercise
0:41:42 While Loops
0:45:11 Lists
0:48:47 List Methods
0:52:16 For Loops
0:54:54 The range() Function
0:57:43 Tuples

#Python #AI #MachineLearning #WebDevelopment

In this video I'll be showcasing the best python editors and ides. These software tools help to speed up your coding and come with a ton of useful features. Each python IDE and editor on this list has its pros and cons and different use cases associated with it. Do you agree with my list? Let me know!

⭐️ Thanks to Kite for sponsoring this video! Download the best AI automcolplete for python programming for free: https://kite.com/download/?utm_medium=referral&utm_source=youtube&utm_campaign=techwithtim&utm_content=top-5-ide-python

📝 Editors Featured
⌨ Vim: https://www.vim.org/download.php
⌨ Atom: https://atom.io/
⌨ VsCode: https://code.visualstudio.com/
⌨ Sublime: https://www.sublimetext.com/
⌨ PyCharm: https://www.jetbrains.com/pycharm/

◾◾◾◾◾
💻 Enroll in The Fundamentals of Programming w/ Python
https://tech-with-tim.teachabl....e.com/p/the-fundamen

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⚡ Please leave a LIKE and SUBSCRIBE for more content! ⚡

⭐ Tags ⭐
- Tech With Tim
- Python Tutorials
- Best Python IDE
- Best Python Code Editor
- Top Editor/IDE Python
- Python Best IDE's

⭐ Hashtags ⭐
#Python

Go from zero to a mobile app developer in 12 months. This step-by-step roadmap covers the essential skills and latest technologies to become an app developer in 2024.

Download the FREE roadmap PDF here: https://mosh.link/mobile-roadmap

✋ Stay connected

- Complete courses: https://codewithmosh.com
- Twitter: https://twitter.com/moshhamedani
- Facebook: https://www.facebook.com/programmingwithmosh/
- Instagram: https://www.instagram.com/codewithmosh.official/
- LinkedIn: https://www.linkedin.com/school/codewithmosh/

🔗 Other roadmaps

https://youtu.be/Tef1e9FiSR0?si=QpVnZ_o9-DAXzT71
https://youtu.be/OeEHJgzqS1k?si=qd0ZIqAzUpZQn6BX

📚 Tutorials

https://youtu.be/W6NZfCO5SIk?si=yS0lQXyy3qwQF3DA
https://youtu.be/8JJ101D3knE?si=OGTuS35LQqSunuhh
https://youtu.be/BBpAmxU_NQo?si=dm-ZCPxVBYWS1Qhn
https://youtu.be/NU_1StN5Tkk?si=gsMONPdgxouQOolu
https://youtu.be/SqcY0GlETPk?si=O93IXejTVuh_5cbY
https://youtu.be/0-S5a0eXPoc?si=yP7qia07NN2FMeS2


📖 Chapters

00:00 - Introduction
00:08 - Native vs Cross-platform Development
04:08 - Languages
04:57 - Version control (Git)
05:25 - Data structures & algorithms
06:12 - Design patterns
07:14 - Mobile frameworks

#appdevelopment #coding #programming

What is Python used for? What can you do with Python? Watch this video to find out :)

Looking for a Python tutorial for beginners? I have a playlist for that here: https://www.youtube.com/playli....st?list=PLBZBJbE_rGR

Also, if you're looking for a good Django tutorial, I recommend the book called Django for Beginners. You can find it here: http://csdojo.io/dj
You can also find the free sample chapters of that book here: https://djangoforbeginners.com/

And, you should follow me on Twitter: https://twitter.com/ykdojo
Instagram: https://www.instagram.com/ykdojo/
Or Facebook: https://www.facebook.com/entercsdojo

Links I mentioned in the video:
- frontend vs backend (my explanation): https://bit.ly/2tlSqp4
- Flask vs Django: https://goo.gl/QY4W4a
- My data visualization tutorial video: https://youtu.be/a9UrKTVEeZA
- The quora thread about desktop applications: https://goo.gl/jMX3eU

Outline (check the comment section for a clickable version):
0:44 : Web development intro
1:08 : Why web framework?
1:28 : Which Python web framework should you use?

2:30 : Machine learning intro - what is machine learning?
4:36 : Machine learning with Python
5:10 : How to learn machine learning

5:33 : Data analysis / visualization - an example
7:23 : Data analysis / visualization with Python

8:14 : Scripting - what is it?

9:20 : What about game development?
9:50 : What about desktop applications?
10:48 : What about embedded applications?

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