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Information Technology
Advanced Programming Techniques with Python v1.2
What You'll Learn
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.
Description
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.
Who Should Attend
This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3.
Course Overview
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 Prerequisites
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Course Agenda
8 Title
Course Agenda
1
Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications
Topic A: Implement Object-Oriented Design
Topic B: Leverage the Benefits of Object-Oriented Programming
Topic B: Leverage the Benefits of Object-Oriented Programming
2
Lesson 2: Creating Object-Oriented Python Applications
Topic A: Create a Class
Topic B: Use Built-in Methods
Topic C: Implement the Factory Design Pattern
Topic B: Use Built-in Methods
Topic C: Implement the Factory Design Pattern
3
Lesson 3: Creating a Desktop Application
Topic A: Design a Graphical User Interface (GUI)
Topic B: Create Interactive Applications
Topic B: Create Interactive Applications
4
Lesson 4: Creating Data-Driven Applications
Topic A: Connect to Data
Topic B: Store, Update, and Delete Data in a Database
Topic B: Store, Update, and Delete Data in a Database
5
Lesson 5: Creating and Securing a Web Service-Connected App
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 B: Create a RESTful Web Service
Topic C: Create a Web Service Client
Topic D: Secure Connected Applications
6
Lesson 6: Programming Python for Data Science
Topic A: Clean Data with Python
Topic B: Visualize Data with Python
Topic C: Perform Linear Regression with Machine Learning
Topic B: Visualize Data with Python
Topic C: Perform Linear Regression with Machine Learning
7
Lesson 7: Implementing Unit Testing and Exception Handling
Topic A: Handle Exceptions
Topic B: Write a Unit Test
Topic C: Execute a Unit Test
Topic B: Write a Unit Test
Topic C: Execute a Unit Test
8
Lesson 8: Packaging an Application for Distribution
Topic A: Create and Install a Package
Topic B: Generate Alternative Distribution Files
Topic B: Generate Alternative Distribution Files