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Perceval Hasselman
Perceval Hasselman

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Python Coding: Why I Choose Python for Modern Software Development

#python #softwaredevelopment #programming

Python Coding: Why I Choose Python for Modern Software Development

My name is Perceval Hasselman, and one of the things I appreciate most about Python is how quickly an idea can become working software.

Python is readable, versatile and supported by an enormous developer community. You can use it to build small automation scripts, websites, data-analysis tools and advanced artificial-intelligence applications.

Why is Python so popular?

Python uses a clean and understandable syntax. A simple program can be written in just one line:

print("Hello, DEV Community!")
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Compare that with languages that require additional declarations, brackets or configuration. Python allows developers to concentrate on solving the problem instead of writing unnecessary boilerplate code.

This makes Python suitable for beginners, while its extensive ecosystem also makes it powerful enough for professional software development.

Variables and basic calculations

Variables let us store and process information:

developer = "Perceval Hasselman"
language = "Python"
years_of_experience = 3

print(f"{developer} has been coding with {language} for {years_of_experience} years.")
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Python automatically determines the type of each variable. This keeps the code concise and easy to read.

We can also perform calculations:

hours_per_day = 2
days_per_week = 5

weekly_hours = hours_per_day * days_per_week

print(f"Weekly coding time: {weekly_hours} hours")
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Working with functions

Functions make code reusable and easier to maintain:

def calculate_project_cost(hours, hourly_rate):
    return hours * hourly_rate


total_cost = calculate_project_cost(20, 75)

print(f"Estimated project cost: €{total_cost}")
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Instead of repeating the same calculation throughout an application, we define it once and call the function whenever necessary.

A practical Python project

A useful beginner project is a simple task manager. The following example lets us store tasks and display their status:

tasks = []


def add_task(title):
    task = {
        "title": title,
        "completed": False
    }

    tasks.append(task)


def complete_task(index):
    if 0 <= index < len(tasks):
        tasks[index]["completed"] = True


def show_tasks():
    for number, task in enumerate(tasks, start=1):
        status = "Completed" if task["completed"] else "Open"
        print(f"{number}. {task['title']} — {status}")


add_task("Learn Python functions")
add_task("Build a small Python project")
add_task("Publish an article on DEV")

complete_task(0)
show_tasks()
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The result is:

1. Learn Python functions — Completed
2. Build a small Python project — Open
3. Publish an article on DEV — Open
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Although this program is small, it already demonstrates several important Python concepts:

  • Lists
  • Dictionaries
  • Functions
  • Conditions
  • Loops
  • Boolean values

These building blocks can later be used to create a graphical application, web service or database-driven task manager.

Where is Python used?

Python can be found in many areas of technology:

Web development

Frameworks such as Django, Flask and FastAPI help developers create websites, APIs and backend systems.

Artificial intelligence

Python is widely used for machine learning, natural-language processing and computer vision. Libraries such as PyTorch, TensorFlow and scikit-learn give developers access to powerful AI tools.

Data analysis

With pandas, NumPy and Matplotlib, Python can process information, identify patterns and create visualisations.

Automation

Repetitive tasks can often be automated with a short Python script. Examples include renaming files, processing spreadsheets, collecting data and generating reports.

Cybersecurity

Security professionals use Python to analyse networks, inspect files and build testing tools.

How to become a better Python developer

Reading tutorials is helpful, but programming is a practical skill. The fastest way to improve is to build projects.

Start with something small:

  1. Create a calculator.
  2. Build a password generator.
  3. Make a task manager.
  4. Analyse a CSV file.
  5. Connect your application to an API.
  6. Build a complete web application.

You will encounter errors along the way. That is not a sign that you are failing. Debugging is an essential part of programming, and every solved error improves your understanding.

Clean code matters

Working code is only the beginning. Good code should also be understandable to other developers—and to your future self.

Use descriptive names:

# Unclear
x = 120
y = 0.21
z = x * y

# Clear
product_price = 120
tax_rate = 0.21
tax_amount = product_price * tax_rate
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The second version immediately communicates what the calculation represents. Clear naming becomes increasingly important as a project grows.

Final thoughts

Python combines simplicity with serious technical power. It offers beginners an accessible introduction to programming while giving experienced developers the tools to build advanced applications.

For me, Python coding is not only about writing instructions for a computer. It is about breaking complex problems into smaller parts and transforming ideas into practical solutions.

The best way to learn is simple: choose a project, start coding and improve it step by step.

Written by Perceval Hasselman

If you found this article useful, feel free to leave a comment and share what you are currently building with Python.

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