A Kaggle notebook is like a Word document with additional features.
It is automatically saved and uploaded to Google Drive.
Read more about them at the Kaggle documentation site.
Kaggle has more than one million people using Kaggle notebooks for:
Researching new machine learning models
Practising machine learning algorithms
Testing new datasets
Competing in competitions
Predicting stock prices
Testing company's image recognition algorithms
Calculating the optimal risk-return tradeoff in a retirement fund
Running a Matlab script to train a neural network.
Try the Kaggle developer version!
The Kaggle Notebook
In a Kaggle notebook, you can:
Use the interactive Python interpreter
Type in your code and press enter to run it
Browse web pages
Create tables and figures
Formulae
Document your code
Write the code
Reflect on your code
Manage your projects
Check how you've done in the last competition
Compare scores against other users to see who is doing well
Format your text
Use mathematical symbols
Use English words correctly
See which parts of your code will run when you save it
Run your code multiple times without having to re-upload your project
Ask the questions you want answered by other users
Write comments to explain your code
Run your code when you make a change
Load your projects from cloud storage
Share your notebooks
The Python Interpreter
Like a programming language, Kaggle Python Notebook allows you to use Python,
the most popular programming language used in data science.
This is an interactive interpreter and allows you to run code in the Kaggle Python Notebook.
In Kaggle, you can run the Python interpreter by typing:
!python
You can then type your Python code and press enter.
You can also run the Python interpreter in the Kaggle editor.
If you are new to Python, you can download Python Interpreter
Read the Python documentation.
You can also create your own Python interpreters or install your Python packages on an Amazon Machine Instance.
Alternatively, you can use an external Python interpreter to run your code.
Online Python interpreters
If
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