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Advanced Programming Techniques with Python

Price
1,755 USD
3 Days
PLPJ-165
Classroom Training, Online Training
Open Source

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  • Date: 19-Jun-2024 to 21-Jun-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,755 USD
  • Date: 14-Aug-2024 to 16-Aug-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,755 USD
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Course Description

Overview

Python® continues to be a popular programming language, perhaps owing to its ability to get a lot of work done in few lines of code, and its versatility. 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, threading, unit testing, and creating and installing packages and executable applications.
 

Objectives

Upon completion of the Advanced Programming Techniques with Python course, students will be able to:
  • 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.

Audience

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 courses:
    • Introduction to Programming with Python®

Topics

Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications
  • Implement Object-Oriented Design
  • Leverage the Benefits of Object-Oriented Programming
Lesson 2: Creating Object-Oriented Python Applications
  • Create a Class
  • Use Built-in Methods
  • Implement the Factory Design Pattern
Lesson 3: Creating a Desktop Application
  • Design a Graphical User Interface (GUI)
  • Create Interactive Applications
Lesson 4: Creating Data-Driven Applications
  • Connect to Data
  • Store, Update, and Delete Data in a Database
Lesson 5: Creating and Securing a Web Service-Connected App
  • Select a Network Application Protocol
  • Create a RESTful Web Service
  • Create a Web Service Client
  • Secure Connected Applications
Lesson 6: Programming Python for Data Science
  • Clean Data with Python
  • Visualize Data with Python
  • Perform Linear Regression with Machine Learning
Lesson 7: Implementing Unit Testing and Exception Handling
  • Handle Exceptions
  • Write a Unit Test
  • Execute a Unit Test
Lesson 8: Packaging an Application for Distribution
  • Create and Install a Package
  • Generate Alternative Distribution Files
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