For Python developers, there are many choices of integrated development environment (IDE) platforms, such as Integrated Development and Learning Environment (IDLE), PyCharm, Microsoft Visual Studio, Atom, Sublime, and many more. Still, a Python Notebook is the preferred choice for AI, ML, and data scientists. It is an interactive IDE fit for exploring, coding, and deploying AI projects.
The easiest learning method is reading this book, running the code, and hacking it. This book cannot cover all scenarios; therefore, you must be comfortable with hacking the code so that it matches your real-world dataset. The Python Notebook is designed for interactivity. It gives us the freedom to play, explore, and make mistakes.
- Google Colab
- Python Notebook options
- Installing Python Notebook
Let’s begin with Google Colab.