📝 Jupyter notebooks are a simple tool for coding Python, allowing users to run commands and see results in real-time.
🔍 The main menu options in Jupyter notebooks include new Python 3 files, text files, and folders.
📁 When creating a new Python 3 file, users can immediately start coding in a new notebook with the desired format.
📁 Creating a new text file and folder in Jupiter Notebook.
📝 Accessing and running notebooks in the 'Files' section of Jupiter Notebook.
🔧 Creating a new notebook in Jupiter Notebook and understanding its components.
📝 Anaconda installation and Google Colab introduction.
💾 Saving and checkpointing in Jupiter Notebook.
🖨️ Printing in Jupiter Notebook.
Anaconda and Google Colab are introduced as tools for coding and editing files.
The preview function allows users to view their code before executing it.
Different operations like editing, copying, and deleting cells are discussed.
Anaconda installation and introduction to Google Colab
Moving and rearranging cells in Google Colab
Customizing the toolbar and hiding row numbers in Google Colab
📚 Line numbers are used to identify errors in the code.
🔵 The 'Insert' function adds new cells to the notebook.
🔄 The 'Restart' function stops and restarts the execution of the code.
📚 The video explains the installation process of Anaconda and introduces Google Colab.
⚙️ Anaconda provides a function to restart all cells and a toolbar for shortcuts.
📝 Jupyter notebook is also discussed, highlighting its features.
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