Python Bootcamp

The Python Bootcamp

Welcome to the Python Bootcamp. This course is for beginners. It prepares you for future modules. Python is a useful skill with many job opportunities. Work hard here to benefit your studies and career.

Getting Help

If you face problems:

1. Use the Teams Room: Ask your questions in the Teams room. It helps everyone learn and saves time.
2. Online Resources: Use these for self-study and problem-solving:
   • Python Documentation
   • W3Schools
   • Stack Overflow
   • Google's Python Class
   • Microsoft's Python Class
3. Warwick Library's Python Books: The library has many digital Python books. I suggest:
   • Python Crash Course by Eric Matthes
   • Automate the Boring Stuff with Python by Al Sweigart
   • Think Python by Allen B. Downey
4. Drop-In Sessions: Join me in the 1st term for one-on-one help sessions.

These tools will help you succeed in this course and your studies.

Using AI for Study

AI can help you learn programming. But use it wisely. AI can give hints and explain hard ideas. Tools like ChatGPT give instant feedback. But don't just copy AI's code. Try to understand it. Use AI to clarify and learn, not just for answers. This will help you become a better programmer.

Good Luck!

As you start with Python, I wish you success. Learning takes time. If you've tried the tools mentioned above and still need assistance, please reach out to me via email at jordan.bruno@warwick.ac.uk, or send a private message on Teams. I'm here to support you.

Best wishes and happy coding!

Jordan Bruno

Setting Up Your Programming Environment

A programming environment is a space where you write, test, and run your code. Think of it as a workshop where you have all the tools you need to build and test your projects.

Local vs. Online Environments

You have two main choices:

• Local Environment: This is set up on your own computer. You'll need to install some software.
• Online Environment: This is hosted on the web. No installations needed. Just open a browser, go to a website, and start coding.

For a better experience, set up a local environment. But if you just want to get started this instant or are using a public computer, use an online environment.

Python Files vs. Python Notebooks

You may use two types of Python files:

• Python File (.py): This is a standard file where you write Python code. It's like a text document but for Python scripts.
• Python Notebook (.ipynb): This is an interactive document where you can mix text, code, and outputs. It's great for experiments, data analysis, and teaching.

For data science students, you'll mainly use Python notebooks. E-commerce students will mostly work with regular Python files for programs and scripts.

Online Options

For standard Python coding I recommend:

• Repl.it

For Python notebooks I recommend:

• Google Colab

Installing Python Locally

To set up a local environment:

1. Go to Python's official website.
2. Download the latest version.
3. Run the installer and follow the prompts.

Using a Text Editor with Python

While installing Python provides you with the essential tools to run and execute scripts, it's highly recommended to use a text editor alongside it.

A text editor is a software application that allows you to write and edit plain text files. Unlike word processors, text editors don't add formatting to text, making them ideal for coding. They often come with features like syntax highlighting, line numbering, and auto-completion, which can significantly enhance your coding experience and efficiency.

Microsoft VSCode

VSCode is my personal choice and recommendation for coding in Python. It's free and lightweight. But it has many extensions. You can add tools for almost any coding task. Plus, it works with Python notebooks, making it a viable option for students on either specialism.

Conclusion

Setting up your environment is the first step in your coding journey. Whether you choose local or online, the key is to find a space where you can comfortably write and test your code. Happy coding!

Afterword

Well done! You have finished all the bootcamp materials. You now understand the basic ideas of Python. This is a big success. You should feel proud.

Keep learning and practicing. Try making small projects that you like. It can help you learn more. This could be the start or the end of learning Python. Either way, good job!

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