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...on-Python-Pandas/1-Introduction-Python-Pandas-Additional-Files/Python-Pandas-Rework.ipynb
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,308 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "# Python & pandas\n", | ||
| "\n" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "# 1. Python" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Python is a high-level, general-purpose programming language that is highly flexible. For example, Python can be used effortlessly for simple mathematical calculations.\n", | ||
| "\n", | ||
| "<div class=\"alert alert-info\" role=\"alert\">\n", | ||
| "\n", | ||
| "**Task 1**:\n", | ||
| " \n", | ||
| "In the box below, enter a simple mathematical calculation (such as `1+2`) and press the execute button.\n", | ||
| "\n", | ||
| "</div>" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "1 + 2" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Values can be defined elsewhere, rather than directly in the calculation. The placeholders for these values are called `variables`.\n", | ||
| "\n", | ||
| "<div class=\"alert alert-info\" role=\"alert\">\n", | ||
| "\n", | ||
| "**Task 2**:\n", | ||
| " \n", | ||
| "Add a line to the code below where the variables `x` and `y` are added together, and execute the code.\n", | ||
| "\n", | ||
| "</div>" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "x = 1\n", | ||
| "y = 2\n", | ||
| "\n", | ||
| "x + y" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "It is important to note that variables are always internally associated with a so-called data type. Thus, in addition to variables containing numerical values, there are also variables that contain text." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "text = \"Woof\" # Variable containing a text\n", | ||
| "number = 1 # Variable containing a number" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "It is important to know the data type of a variable, as different operations may function differently or may not work at all with different data types.\n", | ||
| "\n", | ||
| "<div class=\"alert alert-info\" role=\"alert\">\n", | ||
| "\n", | ||
| "**Task 3**:\n", | ||
| " \n", | ||
| "Execute the code examples provided below and describe how the `+` operation behaves with the different data types.\n", | ||
| "\n", | ||
| "</div>" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "number + number # Addition" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "text + text # Concatenation" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "text + number # Error" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "number + text # Error" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "To state that `number` is of the data type Number and `text` is of the data type Text, however, is a simplification.\n", | ||
| "\n", | ||
| "<div class=\"alert alert-info\" role=\"alert\">\n", | ||
| "\n", | ||
| "**Task 4**:\n", | ||
| " \n", | ||
| "Execute the code examples provided below and get to know the true data types of `number` and `text`.\n", | ||
| "\n", | ||
| "</div>" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "print(\"Variable text =\", text, \"is of type\", type(text))\n", | ||
| "print(\"Variable number =\", number, \"is of type\", type(number))" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Thus, `number` is an `int` (short for integer), and `text` is a `str` (short for string). In addition to these data types, Python directly offers several others.\n", | ||
| "\n", | ||
| "<div class=\"alert alert-info\" role=\"alert\">\n", | ||
| "\n", | ||
| "**Task 5**:\n", | ||
| " \n", | ||
| "Use the [Python documentation](https://docs.python.org/3.8/library/stdtypes.html) to find out which numeric data types other than `int` are built into Python. Enter an example of each as code.\n", | ||
| "\n", | ||
| "</div>" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "float_number = 1.0 # Variable containing a float number\n", | ||
| "print(\"Variable float_number =\", float_number, \"is of type\", type(float_number))\n", | ||
| "\n", | ||
| "complex_number = 1 + 2j # Variable containing a complex number\n", | ||
| "print(\"Variable complex_number =\", complex_number, \"is of type\", type(complex_number))" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "In Python, numerical data types are also utilized to store truth values.\n", | ||
| "\n", | ||
| "<div class=\"alert alert-info\" role=\"alert\">\n", | ||
| "\n", | ||
| "**Task 6**:\n", | ||
| " \n", | ||
| "Determine which data type is used for the truth values listed below. Refer to the [Python documentation](https://docs.python.org/3.8/library/stdtypes.html) to understand why this data type is also considered a numerical data type.\n", | ||
| "\n", | ||
| "</div>" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "truth_value_true = True\n", | ||
| "truth_value_false = False\n", | ||
| "\n", | ||
| "print(\n", | ||
| " \"Variable truth_value_true =\",\n", | ||
| " truth_value_true,\n", | ||
| " \"is of type\",\n", | ||
| " type(truth_value_true),\n", | ||
| ")\n", | ||
| "print(\n", | ||
| " \"Variable truth_value_false =\",\n", | ||
| " truth_value_false,\n", | ||
| " \"is of type\",\n", | ||
| " type(truth_value_false),\n", | ||
| ")\n", | ||
| "# Boolean is a special case of integer (https://docs.python.org/3.8/library/functions.html?highlight=bool#bool)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "In addition to individual values, a variable can also store multiple values.\n", | ||
| "\n", | ||
| "<div class=\"alert alert-info\" role=\"alert\">\n", | ||
| "\n", | ||
| "**Task 7**:\n", | ||
| " \n", | ||
| "Take a look at the data types `list`, `tuple`, `set`, and `dictionary` in the Python documentation. Provide a brief example for each data type below and explain the differences between these data types.\n", | ||
| "\n", | ||
| "</div>" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "# List\n", | ||
| "list_variable = [1, 2, 3]\n", | ||
| "# A list is a collection which is ordered and changeable. It allows duplicate members. Different data types are allowed.\n", | ||
| "\n", | ||
| "# Tuple\n", | ||
| "tuple_variable = (1, 2, 3)\n", | ||
| "# A tuple is a collection which is ordered and unchangeable. It allows duplicate members. Different data types are allowed.\n", | ||
| "\n", | ||
| "# Set\n", | ||
| "set_variable = {1, 2, 3}\n", | ||
| "# A set is a collection which is unordered and unindexed. No duplicate members. Different data types are allowed.\n", | ||
| "\n", | ||
| "# Dictionary\n", | ||
| "dictionary_variable = {\"key1\": 1, \"key2\": 2, \"key3\": 3}\n", | ||
| "# A dictionary is a collection which is unordered, changeable and indexed. No duplicate members. Different data types are allowed." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "<div class=\"alert alert-block alert-warning\">\n", | ||
| "\n", | ||
| "**TODO:**\n", | ||
| " \n", | ||
| "- Functions\n", | ||
| "- Classes\n", | ||
| "- Control Structures\n", | ||
| " \n", | ||
| "</div>" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "celltoolbar": "Tags", | ||
| "interpreter": { | ||
| "hash": "d634d9120e07fcb10ea4e2485f922980f44c65c5790b35d436a0dd63f2b90915" | ||
| }, | ||
| "kernelspec": { | ||
| "display_name": "Python 3 (ipykernel)", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "codemirror_mode": { | ||
| "name": "ipython", | ||
| "version": 3 | ||
| }, | ||
| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
| "name": "python", | ||
| "nbconvert_exporter": "python", | ||
| "pygments_lexer": "ipython3", | ||
| "version": "3.11.5" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 2 | ||
| } |
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