Setup of C++ and Python on Windows


Setup of C++ and Python on Windows
Hey there, coding club members! Today, I'm excited to walk you through the steps to install the necessary software for us to start coding in Python and C++. We'll be using Visual Studio Code (VSCode) as our code editor, MinGW for C++, and Python itself. These tools will help us write code efficiently and effectively, so let's get started!
Installing VSCode:
First up, let's install VSCode. This is a free and open-source code editor that many developers use, and it has many useful features like debugging, syntax highlighting, and code completion. Here's what you need to do:
- Go to the VSCode website: https://code.visualstudio.com/
- Click on the download button for your operating system.
- Once the download is complete, run the installer.
- Follow the instructions in the installer to complete the installation.
Great! You now have VSCode installed on your computer and are ready to start coding.
Installing MinGW for C++
Next, we need to install MinGW, which is a software development environment for creating Windows applications with C++ (among other programming languages). Here's what you need to do:
Installing Python
Last but not least, let's install Python. This is a high-level programming language that is easy to learn and widely used for many purposes, including web development, data analysis, and artificial intelligence. Here's what you need to do:
Great job! You now have Python installed on your computer and can start developing Python applications.
Conclusion
Congratulations, coding club members! You have now installed all the necessary software to start coding in Python and C++ using VSCode. Don't forget to take advantage of all the cool features in VSCode as you explore the world of programming. Happy coding!
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Written by

Mojtaba Maleki
Mojtaba Maleki
Hi everyone! I'm Mojtaba Maleki, an AI Researcher and Software Engineer at The IT Solutions Hungary. Born on February 11, 2002, I hold a BSc in Computer Science from the University of Debrecen. I'm passionate about creating smart, efficient systems, especially in the fields of Machine Learning, Natural Language Processing, and Full-Stack Development. Over the years, I've worked on diverse projects, from intelligent document processing to LLM-based assistants and scalable cloud applications. I've also authored four books on Computer Science, earned industry-recognized certifications from Google, Meta, and IBM, and contributed to research projects focused on medical imaging and AI-driven automation. Outside of work, I enjoy learning new things, mentoring peers, and yes, I'm still a great cook. So whether you need help debugging a model or seasoning a stew, I’ve got you covered!