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Follow along as we analyze the data and build some prediction models.
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Lesson 2: Create Kaggle Datasets
For this lesson, you will need to have the Python 3.5 or above installation pre-installed on your machine.  In addition, you will need the Anaconda (or Miniconda) distribution installed.  
In this lesson, we will use Python and we will import it into your environment.  
##
##  Importing Python
Now that we have an idea of what Python is, and how it works, we can now import it into the environment of our choice.  In this lesson, we will be importing it into our environment.  If you are having trouble importing it, visit the [Installing Python](  
First, we will make sure that we are using a Python 3.5 environment.  To do this, we will have to ensure that the correct version of Python is in the PATH.  To do this, we will type the following command into our terminal: 
```
which python
This command should show the following output:
python3.5
If this is not showing the correct version of Python, it may mean that we are using a different version of Python.    To check this, we will type the following command into our terminal:
python -V
If this is showing an incorrect Python version, we will need to update the PATH so that Python 3.5 is now in the PATH.  To do this, we will type the following into our terminal:
sudo apt-get update
This should update the PATH so that we can now import Python into our environment.
Now that we have Python in our environment, we can import the Python library that we need into our environment.   To do this, we will type the following into our terminal:
pip install pandas
This should install the `pandas` library into our environment.  
##  Creating Kaggle Datasets
Now that we have the `pandas` library installed into our environment
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