Book Image

Python GUI Programming with Tkinter.

By : Alan D. Moore
Book Image

Python GUI Programming with Tkinter.

By: Alan D. Moore

Overview of this book

Tkinter is a lightweight, portable, and easy-to-use graphical toolkit available in the Python Standard Library, widely used to build Python GUIs due to its simplicity and availability. This book teaches you to design and build graphical user interfaces that are functional, appealing, and user-friendly using the powerful combination of Python and Tkinter. After being introduced to Tkinter, you will be guided step-by-step through the application development process. Over the course of the book, your application will evolve from a simple data-entry form to a complex data management and visualization tool while maintaining a clean and robust design. In addition to building the GUI, you'll learn how to connect to external databases and network resources, test your code to avoid errors, and maximize performance using asynchronous programming. You'll make the most of Tkinter's cross-platform availability by learning how to maintain compatibility, mimic platform-native look and feel, and build executables for deployment across popular computing platforms. By the end of this book, you will have the skills and confidence to design and build powerful high-end GUI applications to solve real-world problems.
Table of Contents (23 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

HTTP using requests


You've been asked to create a function in your program to upload a CSV extract of the daily data to ABQ's corporate web services, which uses an authenticated REST API. While urllib is easy enough to use for simple one-off GET and POST requests, complex interactions involving authentication tokens, file uploads, or REST services can be frustrating and complicated using urllib alone. To get this done, we'll turn to the requests library.

Note

REST stands for REpresentational State Transfer, and is the name used for web services built around advanced HTTP semantics. In addition to GET and POST, REST APIs use additional HTTP methods like DELETE, PUT, and PATCH, along with data formats like XML or JSON, to present an API with a complete range of interactions.

The third-party requests library is highly recommended by the Python community for any serious work involving HTTP (even the urllib documentation recommends it). As you'll see, requests removes many of the rough edges and...