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fixed heading order warning and broken setup section link
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books/python_basics/python_basics.ipynb

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"\n",
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"There are a few ways to store data in Python that we will be using in this jupyter-book. Python uses all of the common data types such as integers, floating point numbers and strings. Some data types that are unique in Python and which we will be using in this jupyter-book are tuples, lists, and dictionaries. \n",
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"\n",
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"### Tuples\n",
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"## Tuples\n",
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"\n",
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"Tuples are data types that are defined using round brackets () and the elements of tuples can be any other data type such as integers, floating point numbers or even other tuples. A tuple is an ordered collection of elements that cannot be changed i.e., you cannot modify a tuple once it is defined. "
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]
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Lists \n",
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"## Lists \n",
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"\n",
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"Lists are also collections of any other data type of Python. However, the difference between lists and tuples is that lists can be modified i.e., elements can be changed or removed and new elements can be added. "
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Dictionaries\n",
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"## Dictionaries\n",
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"\n",
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"Dictionaries are data structures within Python that store data in key: value pairs. The values or data can be accessed using the keys and the data can be any other data type of Python. The keys must be unique and cannot be changed once defined. The associated values can be changed after the dictionary is defined. "
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "sm",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.6"
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"version": "3.9.18"
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}
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},
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"nbformat": 4,

books/python_basics/resources.md

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# Python and Jupyter notebook resources
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> **_NOTE:_** This section assumes that you have already installed python and jupyter notebook
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on your system. If not, please refer to the [setup](setup.md) section.
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on your system. If not, please refer to the [setup](../setup.md) section.
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If you are new to python and jupyter notebooks, the following are a few resources for learning more about them:
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