This is the code repository for Tips, Tricks, and Techniques for Python Application Development [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
The course starts off by dealing with performance issues and learning how to tackle them in an application. Distributing an application with Python is not easy but you will learn ways to distribute applications developed using Python along with GUIs, web applications, and more.
- Use different tips, tricks, and techniques while developing Python application.
- Encounter performance issues in application and diagnose it.
- Explore most popular ways to distribute Python applications.
- Know the tools and formats to distribute packages, command-line, GUI and web applications.
- Use modern software and test application in the development process.
- Expand the productivity by using both standard and third-party tools.
- Manage code quality in order to find potential errors early in the development cycle.
To fully benefit from the coverage included in this course, you will need:
Knowledge of building applications with Python and Python programming knowledge and using it in their projects.
This course has the following software requirements:
Minimum Hardware Requirements:
For successful completion of this course, students will require the computer systems with at least the following:
OS: Any modern OS (Windows, Mac, or Linux)
RAM: minimum required for the Operating System, plus ~512 MB for the Docker virtual machine
Storage: 1-3 GB free space to install and run Docker (size varies among operating systems), plus ~100MB free space for the Azure CLI, modules & scripts
Software Requirements: A Java IDE to follow along with the examples (eg. Eclipse, NetBeans, IntelliJ IDEA)
Docker (The Docker for Developers / Community Edition option) - https://www.docker.com/get-started