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es: <code>adder.py</code> and <code>main.py</code>. Any new variables or functions added to <code>adder.py</code> become accessible in <code>main.py</code> without importing anything new.</p><p id="4a28">First, let’s add a function to <code>adder.py</code>:</p><div id="c9e1"><pre><span class="hljs-comment"># adder.py</span> <span class="hljs-keyword">def</span> <span class="hljs-title function_">add</span>(<span class="hljs-params">x, y</span>): <span class="hljs-keyword">return</span> x + y

<span class="hljs-keyword">def</span> <span class="hljs-title function_">double</span>(<span class="hljs-params">x</span>): <span class="hljs-keyword">return</span> x + x</pre></div><p id="2c0e">In the above code snippet, we’ve added a <code>double</code> function to <code>adder.py</code> that takes a single argument and returns its double.</p><p id="f313">Next, in <code>main.py</code>, we can directly use the <code>double</code> function without importing it:</p><div id="2e16"><pre><span class="hljs-comment"># main.py</span> import adder

value = 4 <span class="hljs-built_in">print</span>(adder.<span class="hljs-built_in">add</span>(value, value)) double_value = adder.double(value) <span class="hljs-built_in">print</span>(double_value)</pre></div><p id="598b">In the <code>main.py</code> file, we've used the <code>double</code> function from the <code>adder</code> module without the need for an explicit import. When running <code>main.py</code>, the values <code>4</code> and <code>8</code> will be displayed in the interactive window, demonstrating that the <code>double</code> function is accessibl

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e in the namespace without causing a <code>NameError</code>.</p><p id="f93d">This example showcases the convenience of adding objects to a namespace in Python, as it allows for seamless access to functions and variables across modules without the need for additional imports. This can be particularly useful when you want to keep your code clean and reduce unnecessary imports.</p><p id="c186">In summary, adding objects to a namespace in Python is a powerful feature that simplifies the accessibility of functions and variables across modules. It streamlines code organization and enhances code readability by reducing the need for repetitive imports.</p><p id="c29a">In conclusion, this tutorial has demonstrated how to add objects to a namespace in Python, allowing for seamless accessibility of functions and variables across modules without the need for additional imports. This can greatly simplify code organization and enhance readability.</p><div id="1fca" class="link-block"> <a href="https://readmedium.com/python-accessing-module-objects-in-python-9c79892c3d28"> <div> <div> <h2>PYTHON — Accessing Module Objects in Python</h2> <div><h3>Computers are good at following instructions, but not at reading your mind. — Donald Knuth</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*wKtl8XE4k44RTLPU.jpeg)"></div> </div> </div> </a> </div></article></body>

PYTHON — Adding Namespace Objects in Python

Programs must be written for people to read, and only incidentally for machines to execute. — Harold Abelson

Adding Namespace Objects in Python

When working with Python, you may come across the need to add new variables or functions to a module and then make these additions accessible in another module without importing anything new. This can be done by adding objects to a namespace, which allows you to access them from another module without the need for additional imports. In this tutorial, we’ll explore how to add objects to a namespace in Python.

Let’s consider a scenario where you have two Python files: adder.py and main.py. Any new variables or functions added to adder.py become accessible in main.py without importing anything new.

First, let’s add a function to adder.py:

# adder.py
def add(x, y):
    return x + y

def double(x):
    return x + x

In the above code snippet, we’ve added a double function to adder.py that takes a single argument and returns its double.

Next, in main.py, we can directly use the double function without importing it:

# main.py
import adder

value = 4
print(adder.add(value, value))
double_value = adder.double(value)
print(double_value)

In the main.py file, we've used the double function from the adder module without the need for an explicit import. When running main.py, the values 4 and 8 will be displayed in the interactive window, demonstrating that the double function is accessible in the namespace without causing a NameError.

This example showcases the convenience of adding objects to a namespace in Python, as it allows for seamless access to functions and variables across modules without the need for additional imports. This can be particularly useful when you want to keep your code clean and reduce unnecessary imports.

In summary, adding objects to a namespace in Python is a powerful feature that simplifies the accessibility of functions and variables across modules. It streamlines code organization and enhances code readability by reducing the need for repetitive imports.

In conclusion, this tutorial has demonstrated how to add objects to a namespace in Python, allowing for seamless accessibility of functions and variables across modules without the need for additional imports. This can greatly simplify code organization and enhance readability.

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