Advanced Programming Techniques with Python v1.2
E-Learning
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.
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.
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.
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.
| Lesson Id | Title | Description |
|---|---|---|
| 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 |
| 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 |
| 3 | Lesson 3: Creating a Desktop Application |
Topic A: Design a Graphical User Interface (GUI) 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 |
| 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 |
| 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 |
| 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 |
| 8 | Lesson 8: Packaging an Application for Distribution |
Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files |
Self-Paced
$7.50
This course includes: :
Full lifetime access