avatarLaxfed Paulacy

Free AI web copilot to create summaries, insights and extended knowledge, download it at here

1218

Abstract

ional qualifications. Let’s take a look at an example to understand this concept better.</p><p id="fa57">Suppose we have a module named <code>adder.py</code> with the following content:</p><div id="866c"><pre><span class="hljs-comment"># adder.py</span> def <span class="hljs-built_in">add</span>(<span class="hljs-keyword">a</span>, b): <span class="hljs-literal">return</span> <span class="hljs-keyword">a</span> + b</pre></div><p id="a0ac">Now, in another module <code>main.py</code>, we can access the <code>add</code> function from <code>adder.py</code> as follows:</p><div id="d772"><pre><span class="hljs-comment"># main.py</span> import adder

value = adder.<span class="hljs-built_in">add</span>(2, 2) <span class="hljs-built_in">print</span>(value)</pre></div><p id="b7f9">By importing the module <code>adder</code>, we can directly access the <code>add</code> function using dot notation (<code>adder.add</code>) and then use it within <code>main.py</code>. This is because both <code>add</code> and <code>main</code> are in the same module, and therefore, they share the same namespace.</p><p id="e86d">To demonstrate this, let’s run the code:</p><div id="6205"><pre><span class="hljs-keyword">python</

Options

span> main.<span class="hljs-keyword">py</span></pre></div><p id="2b0d">This will output <code>4</code>, which is the result of adding <code>2</code> and <code>2</code> using the <code>add</code> function from the <code>adder</code> module.</p><p id="4cc8">In summary, accessing objects from inside a module in Python is as simple as using their names within the same module, thanks to the shared namespace.</p><p id="2c46">By understanding how to access module objects, you can effectively organize and utilize your code across different modules within a Python project.</p><div id="41f6" class="link-block"> <a href="https://readmedium.com/python-importing-objects-in-python-aa60ba3b0ce2"> <div> <div> <h2>PYTHON — Importing Objects in Python</h2> <div><h3>The great myth of our times is that technology is communication. — Libby Larsen</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*gcCS7BIrZZFenue8.jpeg)"></div> </div> </div> </a> </div></article></body>

PYTHON — Accessing Module Objects in Python

Computers are good at following instructions, but not at reading your mind. — Donald Knuth

Accessing Module Objects in Python

In Python, you can access variables, functions, and classes from within the same module by simply using their names. This means that you can directly access these objects without any additional qualifications. Let’s take a look at an example to understand this concept better.

Suppose we have a module named adder.py with the following content:

# adder.py
def add(a, b):
    return a + b

Now, in another module main.py, we can access the add function from adder.py as follows:

# main.py
import adder

value = adder.add(2, 2)
print(value)

By importing the module adder, we can directly access the add function using dot notation (adder.add) and then use it within main.py. This is because both add and main are in the same module, and therefore, they share the same namespace.

To demonstrate this, let’s run the code:

python main.py

This will output 4, which is the result of adding 2 and 2 using the add function from the adder module.

In summary, accessing objects from inside a module in Python is as simple as using their names within the same module, thanks to the shared namespace.

By understanding how to access module objects, you can effectively organize and utilize your code across different modules within a Python project.

Accessing
Python
Objects
Module
ChatGPT
Recommended from ReadMedium