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    Advanced Programming Techniques with Python®

    Python Institute Certification Course
    Python® remains a favored programming language, likely due to its accessible learning curve, minimal code requirements, and adaptability for various purposes including business, web development, and scientific applications. Python proves invaluable for crafting tailored software tools, applications, web services, and cloud-based solutions. In this course, you'll expand upon your foundational Python proficiency, delving into more sophisticated subjects such as object-oriented programming patterns, graphical user interface development, data manipulation, crafting web service-integrated applications, executing data science operations, conducting unit testing, and constructing and deploying packages and executable applications.

    Advanced Programming Techniques with Python® Training Objectives

    • 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.

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    • Advanced Programming Techniques with Python® Training Prerequisites

      arget Student:

      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.

      Prerequisites:

      To ensure your success in this course, you should have experience with object-oriented programming and Python 2.x or 3.x. You can obtain this level of skills and knowledge by taking the following Logical Operations courses:

      Introduction to Programming with Python®

    • Advanced Programming Techniques with Python® Training Format

      In-Person

      Online

    • Advanced Programming Techniques with Python® Outline

      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

      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

      Lesson 3: Creating a Desktop Application
      Topic A: Design a Graphical User Interface (GUI)

      Topic B: Create Interactive Applications

      Lesson 4: Creating Data-Driven Applications
      Topic A: Connect to Data

      Topic B: Store, Update, and Delete Data in a Database

      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

      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

      Lesson 7: Implementing Unit Testing and Exception Handling
      Topic A: Handle Exceptions

      Topic B: Write a Unit Test

      Topic C: Execute a Unit Test

      Lesson 8: Packaging an Application for Distribution
      Topic A: Create and Install a Package

      Topic B: Generate Alternative Distribution Files

      Appendix A: Mapping Python Course Content to Python Institute Certification Exams