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Aug 24, 2023

Sudip Bhandari

What is Python Used for? [7 Areas with Roadmap]

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Python is versatile and used extensively in the following fields:

  • Data Science & Data Analysis
  • Machine Learning & AI
  • Web Development
  • Software Testing
  • Cybersecurity
  • SEO
  • Automation

What is Python Used for? [7 Areas with Roadmap]

The recent surge of AI technologies has made Python the go-to language for so many aspiring programmers. The reason is the language's direct involvement in Data Analysis, Machine Learning, and AI.

Not only this, Python is heavily used in other different fields like Testing, SEO, Web Development, Automation, and so on.

Let's explore some of the main fields where Python can be used, along with a roadmap for you to get started.

What is Python Used for?

Python is versatile and used extensively, so let's focus on the important ones where learning Python has major benefits.

  • Data Science and Data Analysis
  • Machine Learning and AI
  • Web Development
  • Software Testing
  • Cybersecurity
  • SEO
  • Automation

Tip

If you are sure about your future and it's one among the above-mentioned, let's save some time and start learning python right away.

Want to learn more about Python's involvement in those mentioned areas, continue reading.

1. Data Science and Data Analysis

In simple words, both data science and data analysis involve extracting valuable insights from data.

This field also requires knowledge of different domains like Mathematics and Business, but Python is at the core of everything.

Here's how you will use Python in data science and analysis:

  • Analysis and filter information from large data sets.
  • Create visual representations like lines, charts, and plots.
  • Add text, labels, and animations to the visualizations.

If you think this is the right career for you, here's a basic roadmap to get you started.

Data Science Roadmap using Python

2. Machine Learning and AI

Machine Learning (ML) involves training a system with observations (data) so that it can learn and improve itself without being programmed.

Or, we can say it is a process of creating Artificial Intelligence.

Both ML and AI are highly advanced and require much more information than just a knowledge of a programming language. However, learning Python provides you with a starting point.

Here's how different Python libraries are used in ML and AI:

  • Pandas and NumPy make data collection easy.
  • Scikit-learn, TensorFlow, and Pytorch help in model building and training.

Note: Don't worry about the libraries at this point, just understand they are there to help you.

Now, let's see what your pathway will look like if you choose this field.

Machine Learning Roadmap using Python

3. Web Development

Python is mainly used in backend web development. It provides frameworks like Django, Flask and Web2Py that help build secure and scalable websites.

In fact, popular websites like Netflix, Spotify, Instagram, and Uber are built using Python.

Here's how Python is used in web development:

  • Develop backend functionalities like database connectivity, routing, and data transfer.
  • Provides modular features like a fast debugger and support for integrated unit testing.

You can use the following roadmap as a starting point for your career in web development.

Web Development Roadmap using Python

4. Software Testing

Software Testing ensures your application is working the way it should. It involves comparing the application with requirements and identifying bugs.

It's safe to say that the quality of an application depends on the quality of testing. And Python helps you automate the testing process.

Here's how Python is used in testing:

  • Python frameworks like Selenium, PyUnit and Pytest help automate and streamline testing.
  • QA engineers can write test code using Python because of its simple and easy-to-understand syntaxes.

While you don't need Python to get into a Testing/QA career, you will definitely need it to grow and streamline your process.

5. Cybersecurity

Cybersecurity is another area where knowledge of Python is not compulsory, but knowing it makes the job a lot easier.

Here's how Python is used in Cybersecurity:

  • Write scripts to automate responses in case of any incidents to mitigate threats.
  • Analyze files and debug programs using pefile and pydbg for malware analysis.
  • Prevent unauthorized access or DDoS attacks by analyzing traffic using scapy.
  • Automate repetitive tasks like log analysis, alerts, and reports.

You don't have to be an expert to use Python in Cybersecurity. Just the ability to write simple Python scripts will be sufficient.

6. SEO

SEO (Search Engine Optimization) is another area where knowing Python helps streamline your process.

Python in SEO is mostly used in automating tasks and analyzing data. Here are some of the major use cases:

  • Web scraping
  • Report generation
  • Analysis (Keywords, Links, etc.)
  • Working with CSV

7. Automation

Automation helps save time and prevent trivial mistakes by automating repetitive tasks. And the simple syntax of the language makes Python the perfect choice for automation.

Python also provides various libraries to make the process more efficient and easy:

  • CSV
  • Watchdog
  • Twilio
  • ChatterBot

Remember, you don't need to worry about these libraries at the moment.

Automations are some of the best projects to practice while learning Python. Here are some popular ones:

  • Update excel sheets
  • Web scraping
  • Day-to-day activities like emails, payments, social media posts, and more.
  • Share market automation

Final Takeaway

Python is used in a wide variety of areas, so learning the language will be beneficial no matter what you choose to become. However, how much Python you need to learn and what pathway you should follow depends entirely on your career goal.

Instead of directly jumping to any course, first, understand how Python is used in the field of your choice. Then choose the right roadmap as per your needs.