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Add initial version of chapter 10

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Alexander Hess 2020-04-16 05:35:23 +02:00
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01_elements_00_content.ipynb
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@ -1343,7 +1343,7 @@
"source": [
"Different types imply different behaviors for the objects. The `b` object, for example, may be \"asked\" if it is a whole number with the [is_integer() <img height=\"12\" style=\"display: inline-block\" src=\"static/link_to_py.png\">](https://docs.python.org/3/library/stdtypes.html#float.is_integer) \"functionality\" that comes with *every* `float` object.\n",
"\n",
"Formally, we call such type-specific functionalities **methods** (i.e., as opposed to functions) and we look at them in detail in Chapter 10. For now, it suffices to know that we access them with the **dot operator** `.` on the object. Of course, `b` is a whole number, which the boolean object `True` tells us."
"Formally, we call such type-specific functionalities **methods** (i.e., as opposed to functions) and we look at them in detail in [Chapter 10 <img height=\"12\" style=\"display: inline-block\" src=\"static/link_to_nb.png\">](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/10_classes_00_content.ipynb). For now, it suffices to know that we access them with the **dot operator** `.` on the object. Of course, `b` is a whole number, which the boolean object `True` tells us."
]
},
{
@ -2474,7 +2474,7 @@
}
},
"source": [
"Some variables magically exist when a Python process is started or are added by Jupyter. We may safely ignore the former until Chapter 10 and the latter for good."
"Some variables magically exist when a Python process is started or are added by Jupyter. We may safely ignore the former until [Chapter 10 <img height=\"12\" style=\"display: inline-block\" src=\"static/link_to_nb.png\">](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/10_classes_00_content.ipynb) and the latter for good."
]
},
{
@ -2898,7 +2898,7 @@
}
},
"source": [
"Variables with leading and trailing double underscores, referred to as **dunder** in Python jargon, are used for built-in functionalities and to implement object-oriented features as we see in Chapter 10. We must *not* use this style for variables!"
"Variables with leading and trailing double underscores, referred to as **dunder** in Python jargon, are used for built-in functionalities and to implement object-oriented features as we see in [Chapter 10 <img height=\"12\" style=\"display: inline-block\" src=\"static/link_to_nb.png\">](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/10_classes_00_content.ipynb). We must *not* use this style for variables!"
]
},
{
@ -3734,7 +3734,7 @@
" - distinct and well-contained areas/parts of the memory that hold the actual data\n",
" - the concept by which Python manages the memory for us\n",
" - can be classified into objects of the same **type** (i.e., same abstract \"structure\" but different concrete data)\n",
" - built-in objects (incl. **literals**) vs. user-defined objects (cf., Chapter 10)\n",
" - built-in objects (incl. **literals**) vs. user-defined objects (cf., [Chapter 10 <img height=\"12\" style=\"display: inline-block\" src=\"static/link_to_nb.png\">](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/10_classes_00_content.ipynb))\n",
" - e.g., `1`, `1.0`, and `\"one\"` are three different objects of distinct types that are also literals (i.e., by the way we type them into the command line Python knows what the value and type are)\n",
"\n",
"\n",