Introduction To Python Programming And Developing Gui Applications With Pyqt Pd Average ratng: 7,6/10 9833 reviews

5.3.Accessing SQLite Database through Python. Developing a GUI with PyQT Learn how to install PyQt5 toolkit, Qt Designer and create a graphical user interface using common widgets and menu systems. 6.1.GUI and Event driven programming. 6.2.Qt Designer. 6.3.Using Common Widgets. 6.4.Geometry Management. 6.5.Designing Menu.

The best Python book that I have seen in year 2016 is the book titled “Introduction to Computing and Problem Solving with Python”. This is authored by Jeeva Jose and published by Khanna Publishers. The presentation of the book is simple and systamatic.

It takes the reader from basics to advanced portions smoothly. Even self leaners can use this book comfortably. All Chapters have worked out programs, illustrations, review and frequently asked interview questions. More than 300 solved lab exercises available in this book is tested in Python 3.4.3 version for Windows. The first two Chapters introduce the reader on digital computers and programming. The third Chapter gives an introduction to Python which includes reserved keywords, identifiers, variables and operators.

The fourth Chapter gives detailed explanation about data types and their operations. Chapter 5 illustrates flow control techniques which include decision making and looping. Functions are covered in Chapter 6.

Chapter 7 explains built-in modules, user defined modules, packages, time, calendar and datetime modules. File handling is covered in Chapter 8. The entire concept of Object Oriented Programming is explained in Chapter 9. Various Exception Handling techniques are explained in Chapter 10. The Chapters 11 & 12 cover advanced topics like Python Regular Expressions and Database Programming in detail. Flag Abuse Flagging a post will send it to the Goodreads Customer Care team for review. We take abuse seriously in our discussion boards. Shener aydan.

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Introduction Using python and pandas in the business world can be a very useful alternative to the pain of manipulating Excel files. While this combination of technologies is powerful, it can be challenging to convince others to use a python script - especially when many may be intimidated by using the command line.

In this article I will show an example of how to easily create an end-user-friendly GUI using the library. This interface is based on wxWindows so it looks like a “native” application on Windows, Mac and Linux. Ultimately, I believe that presenting a simple user interface to your scripts can greatly increase the adoption of python in your place of business. The Problem I will be basing the example in this article on my prior post -. The basic concept is that there is a periodic need to combine data from multiple excel files into a “master file” and perform some additional manipulations. Unfortunately this process is error prone and time consuming when someone tries to do a lot of manual copying and pasting in Excel.

However, it is relatively straightforward to create python + pandas scripts to perform the same manipulations in a more repeatable and robust format. However, as soon as you ask the user to type something like the line below, you will lose them. The nice thing about this example is that you have standard windows directory and file chooser dialogs along with a standard date picker widget. It will be a much smoother transition for your users to use this UI than to try to remember how to use the command line with all the various arguments shown above. The rest of this article will explain how to create this UI with very minor changes to the base code you would build using argparse. If you are not familiar with argparse then might be helpful to reference before you go much further. As shown in the article, argparse (and friends) are very sophisticated libraries but I have found that you can create very meaningful and useful tools with the very basic options I’ll show in this post.

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