Advanced Programming Techniques with Python v1.2
Python® continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you’ll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications.
Course Objectives
In this course, you will expand your Python proficiencies. You will:
- Select an object
- oriented programming approach for Python applications. Create object
- oriented Python applications. Create a desktop application. Create data
- driven applications. Create and secure web service
- connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution.
Agenda
- Topic A: Implement Object-Oriented Design
- Topic B: Leverage the Benefits of Object-Oriented Programming
- Topic A: Create a Class
- Topic B: Use Built-in Methods
- Topic C: Implement the Factory Design Pattern
- Topic A: Design a Graphical User Interface (GUI)
- Topic B: Create Interactive Applications
- Topic A: Connect to Data
- Topic B: Store, Update, and Delete Data in a Database
- Topic A: Select a Network Application Protocol
- Topic B: Create a RESTful Web Service
- Topic C: Create a Web Service Client
- Topic D: Secure Connected Applications
- Topic A: Clean Data with Python
- Topic B: Visualize Data with Python
- Topic C: Perform Linear Regression with Machine Learning
- Topic A: Handle Exceptions
- Topic B: Write a Unit Test
- Topic C: Execute a Unit Test
- Topic A: Create and Install a Package
- Topic B: Generate Alternative Distribution Files
$7.5
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Course Type: Instructor Led