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Commit 4d3a1a8

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Rename basic_datatypes
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‎control_flow.ipynb

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"id": "c77d7858-0f56-4925-9724-689aadbb23a7",
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"metadata": {},
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"source": [
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"Python [supports](./basic_datatypes.ipynb#Comparison-operators) different comparison expressions. They return either `True` or `False`.\n",
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"Python [supports](./01-basic_datatypes.ipynb#Comparison-operators) different comparison expressions. They return either `True` or `False`.\n",
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"\n",
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"We use these results to evaluate **conditional statements**, and branch have our program behave differently."
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]

‎functions.ipynb

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"id": "b87faacb-1da9-4e5b-9cd1-0a23d0ce74b8",
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"metadata": {},
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"source": [
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"In the [Basic datatypes](./basic_datatypes.ipynb#Unpacking) section we saw that iterables (tuples and lists) support **unpacking**. You can exploit unpacking to make a **parallel assignment**.\n",
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"In the [Basic datatypes](./01-basic_datatypes.ipynb#Unpacking) section we saw that iterables (tuples and lists) support **unpacking**. You can exploit unpacking to make a **parallel assignment**.\n",
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"\n",
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"A reminder:\n",
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"\n",
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"<div class=\"alert alert-block alert-info\">\n",
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" <h4><b>Hint</b></h4>\n",
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" You need to store your <code>nums</code> in a data structure that doesn&#39;t care about ordering and discard duplicates. We have seen it on <a href=\"./basic_datatypes.ipynb#Set\">the first day of the tutorial</a>.\n",
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" You need to store your <code>nums</code> in a data structure that doesn&#39;t care about ordering and discard duplicates. We have seen it on <a href=\"./01-basic_datatypes.ipynb#Set\">the first day of the tutorial</a>.\n",
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"</div>"
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]
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},

‎index.ipynb

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"source": [
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"# Basic Tutorial\n",
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"\n",
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"- [Introduction to the tutorial](./intro.ipynb)\n",
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"- [Basic datatypes](./basic_datatypes.ipynb)\n",
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"- [Control Flow](./control_flow.ipynb)\n",
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"- [Functions](./functions.ipynb)\n",
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"- [Input-Output](./input_output.ipynb)\n",
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"- [Functional programming](./functional_programming.ipynb)\n",
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"- [Object-oriented programming](./object_oriented_programming.ipynb)\n",
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"- [Modules and packages](./modules_and_packages.ipynb)\n",
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"- [Introduction to the tutorial](./00-intro.ipynb)\n",
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"- [Basic datatypes](./01-basic_datatypes.ipynb)\n",
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"- [Control Flow](./02-control_flow.ipynb)\n",
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"- [Functions](./03-functions.ipynb)\n",
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"- [Input-Output](./04-input_output.ipynb)\n",
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"- [Object-oriented programming](./05-object_oriented_programming.ipynb)\n",
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"- [Modules and packages](./06-modules_and_packages.ipynb)\n",
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"\n",
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"# Advanced tutorial\n",
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"\n",
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"- [Manage Python project](./manage_python_project.ipynb)\n",
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"- [Advanced functions](./functions_advanced.ipynb)\n",
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"- [Advanced Object-oriented programming](./object_oriented_programming_advanced.ipynb)\n",
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"- [Parallelism and concurrency in Python](./threads.ipynb)\n",
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"- [Manage Python project](./10-manage_python_project.ipynb)\n",
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"- [Functional programming](./11-functional_programming.ipynb)\n",
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"- [Advanced functions](./12-functions_advanced.ipynb)\n",
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"- [Advanced Object-oriented programming](./13-object_oriented_programming_advanced.ipynb)\n",
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"- [Parallelism and concurrency in Python](./14-threads.ipynb)\n",
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"\n",
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"# Libraries\n",
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"\n",
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"- [Matplotlib](./library_matplotlib.ipynb)\n",
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"- [NumPy](./library_numpy.ipynb)\n",
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"- [scikit-learn](./library_sklearn.ipynb)\n",
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"- [SciPy](./library_scipy.ipynb)\n",
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"- [Pandas](./library_pandas.ipynb)"
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"- [Matplotlib](./20-library_matplotlib.ipynb)\n",
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"- [NumPy](./21-library_numpy.ipynb)\n",
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"- [scikit-learn](./22-library_sklearn.ipynb)\n",
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"- [SciPy](./23-library_scipy.ipynb)\n",
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"- [Pandas](./24-library_pandas.ipynb)"
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]
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}
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],

‎slides/control_flow_slides.ipynb

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"id": "c77d7858-0f56-4925-9724-689aadbb23a7",
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"metadata": {},
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"source": [
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"Python [supports](./basic_datatypes.ipynb#Comparison-operators) different comparison expressions. They return either `True` or `False`.\n",
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"Python [supports](./01-basic_datatypes.ipynb#Comparison-operators) different comparison expressions. They return either `True` or `False`.\n",
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"\n",
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"We use these results to evaluate **conditional statements**, and branch have our program behave differently."
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]

‎slides/functions_slides.ipynb

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"id": "b87faacb-1da9-4e5b-9cd1-0a23d0ce74b8",
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"metadata": {},
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"source": [
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"In the [Basic datatypes](./basic_datatypes.ipynb#Unpacking) section we saw that iterables (tuples and lists) support **unpacking**. You can exploit unpacking to make a **parallel assignment**.\n",
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"In the [Basic datatypes](./01-basic_datatypes.ipynb#Unpacking) section we saw that iterables (tuples and lists) support **unpacking**. You can exploit unpacking to make a **parallel assignment**.\n",
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"\n",
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"Now that we know about unpacking and the `*`/`**` operators, we can create more flexible functions that can accept any number of **positional** or **keyword** arguments.\n",
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"\n",

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