Book Image

Qt5 Python GUI Programming Cookbook

By : B. M. Harwani
Book Image

Qt5 Python GUI Programming Cookbook

By: B. M. Harwani

Overview of this book

PyQt is one of the best cross-platform interface toolkits currently available; it's stable, mature, and completely native. If you want control over all aspects of UI elements, PyQt is what you need. This book will guide you through every concept necessary to create fully functional GUI applications using PyQt, with only a few lines of code. As you expand your GUI using more widgets, you will cover networks, databases, and graphical libraries that greatly enhance its functionality. Next, the book guides you in using Qt Designer to design user interfaces and implementing and testing dialogs, events, the clipboard, and drag and drop functionality to customize your GUI. You will learn a variety of topics, such as look and feel customization, GUI animation, graphics rendering, implementing Google Maps, and more. Lastly, the book takes you through how Qt5 can help you to create cross-platform apps that are compatible with Android and iOS. You will be able to develop functional and appealing software using PyQt through interesting and fun recipes that will expand your knowledge of GUIs
Table of Contents (20 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Computer Vision with OpenCV 3 and Qt5 : https://www.amazon.com/Computer-Vision-OpenCV-multithreaded-cross-platform/dp/178847239X/ref=sr_1_1?ie=UTF8&qid=1532586055&sr=8-1&keywords=Computer+Vision+with+OpenCV+3+and+Qt5&dpID=51Z4u1hLAzL&preST=_SX218_BO1,204,203,200_QL40_&dpSrc=srch

Frank Kane

ISBN: 978-1-78728-074-8

  • Learn how to clean your data and ready it for analysis
  • Implement the popular clustering and regression methods in Python
  • Train efficient machine learning models using decision trees and random forests
  • Visualize the results of your analysis using Python's Matplotlib library
  • Use Apache Spark's MLlib package to perform machine learning on large datasets

Qt 5 Projects: https://www.amazon.com/Qt-Projects-cross-platform-applications-framework/dp/1788293886/ref=sr_1_2_sspa?s=books&ie=UTF8&qid=1532586126&sr=1-2-spons&keywords=Qt+5+Projects&psc=1 Corey P. Schultz, Bob Perciaccante

ISBN: 978-1-78439-030-3

  • Acquire the key skills of ethical hacking to perform penetration testing
  • Learn how to perform network reconnaissance
  • Discover vulnerabilities in hosts
  • Attack vulnerabilities to take control of workstations and servers
  • Understand password cracking to bypass security
  • Learn how to hack into wireless networks
  • Attack web and database servers to exfiltrate data
  • Obfuscate your command and control connections to avoid firewall and IPS detection