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ier to understand and maintain. Secondly, maintainability is improved as small files are generally easier to maintain than large ones. Third, reusability is increased as modules reduce duplicate code. The fourth advantage is scoping. Modules have their own namespace, which helps in organizing and managing variables and functions.</p><h2 id="bfa9">Investigating Namespaces and Import Statements</h2><p id="2641">To understand namespaces and import statements, let’s investigate different import statements. For example, we can explore how to call an imported object, understand namespaces, access objects from inside a module, use dot notation for imported objects, and add objects to a namespace.</p><h2 id="449b">Separating Your Code Into Modules</h2><ul><li>Python Basics: Modules and Packages (Overview) 01:44</li><li>Working With Modules 00:27</li><li>Creating Modules 01:55</li></ul><h2 id="aabd">Importing Modules</h2><ul><li>Calling an Imported Object 01:45</li><li>Understanding Namespaces 00:27</li><li>Accessing Objects From Inside a Module 01:02</li><li>Using Dot Notation for Imported Objects 00:54</li><li>Adding Objects to a Namespace 01:29</li><li>Breaking a Program Into Modules 00:45</li></ul><h2 id="b4fb">Adjusting Import Statements</h2><ul><li>Renaming an Imported Module 02:42</li><li>Importing Objects From a Module 03:20</li><li>Summarizing Import Statements 03:18</li><li>Taking Advantage of Namespaces 01:04</li></ul><h2 id="00ae">Building Packages From Your Modules</h2><ul><li>Introducing Packages 01:16</li><li>Creating P

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ackages 03:21</li><li>Working With Packages 04:16</li><li>Summarizing Import Statements for Packages 01:40</li><li>Importing Modules From Subpackages 03:57</li></ul><h2 id="bec3">Reviewing What You’ve Learned</h2><ul><li>Python Basics: Modules and Packages (Exercises) 02:55</li><li>Python Basics: Modules and Packages (Summary) 01:37</li><li>Python Basics: Modules and Packages (Quiz)</li></ul><p id="3dc9">By breaking a program into modules and understanding import statements and namespaces, you can effectively organize and manage your Python code.</p><p id="06c5">Remember, breaking a program into modules offers simplicity, maintainability, reusability, and scoping advantages. This approach allows you to create more organized, easy-to-maintain, and reusable code, making your Python projects more efficient and scalable.</p><div id="4e74" class="link-block"> <a href="https://readmedium.com/python-imported-objects-using-dot-notation-in-python-7d107d5dd2a7"> <div> <div> <h2>PYTHON — Imported Objects Using Dot Notation in Python</h2> <div><h3>Hardware is easy to protect: lock it in a room, chain it to a desk, or buy a spare. Software is harder to protect, but…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*6tLAJH8EGjmhZf29.jpeg)"></div> </div> </div> </a> </div></article></body>

PYTHON — Breaking a Program into Modules in Python

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Breaking a Program Into Modules in Python

When working on a Python project, breaking the program into modules can bring several benefits. This article will explore the advantages and demonstrate how to separate code into modules using different import statements.

Advantages of Breaking a Program Into Modules

There are four main advantages to breaking a program into modules. The first one is simplicity. Modules are usually focused on a single problem, making the code easier to understand and maintain. Secondly, maintainability is improved as small files are generally easier to maintain than large ones. Third, reusability is increased as modules reduce duplicate code. The fourth advantage is scoping. Modules have their own namespace, which helps in organizing and managing variables and functions.

Investigating Namespaces and Import Statements

To understand namespaces and import statements, let’s investigate different import statements. For example, we can explore how to call an imported object, understand namespaces, access objects from inside a module, use dot notation for imported objects, and add objects to a namespace.

Separating Your Code Into Modules

  • Python Basics: Modules and Packages (Overview) 01:44
  • Working With Modules 00:27
  • Creating Modules 01:55

Importing Modules

  • Calling an Imported Object 01:45
  • Understanding Namespaces 00:27
  • Accessing Objects From Inside a Module 01:02
  • Using Dot Notation for Imported Objects 00:54
  • Adding Objects to a Namespace 01:29
  • Breaking a Program Into Modules 00:45

Adjusting Import Statements

  • Renaming an Imported Module 02:42
  • Importing Objects From a Module 03:20
  • Summarizing Import Statements 03:18
  • Taking Advantage of Namespaces 01:04

Building Packages From Your Modules

  • Introducing Packages 01:16
  • Creating Packages 03:21
  • Working With Packages 04:16
  • Summarizing Import Statements for Packages 01:40
  • Importing Modules From Subpackages 03:57

Reviewing What You’ve Learned

  • Python Basics: Modules and Packages (Exercises) 02:55
  • Python Basics: Modules and Packages (Summary) 01:37
  • Python Basics: Modules and Packages (Quiz)

By breaking a program into modules and understanding import statements and namespaces, you can effectively organize and manage your Python code.

Remember, breaking a program into modules offers simplicity, maintainability, reusability, and scoping advantages. This approach allows you to create more organized, easy-to-maintain, and reusable code, making your Python projects more efficient and scalable.

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