Remove empty lines
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12 changed files with 1 additions and 13 deletions
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"# Chapter 1: Elements of a Program"
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]
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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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"\n",
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"# Chapter 1: Elements of a Program"
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]
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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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"\n",
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"# Chapter 3: Conditionals & Exceptions"
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]
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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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"\n",
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"# Chapter 3: Conditionals & Exceptions"
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]
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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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"\n",
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"# Chapter 4: Recursion & Looping"
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]
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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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"\n",
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"# Chapter 4: Recursion & Looping"
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]
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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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"\n",
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"# Chapter 4: Recursion & Looping"
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]
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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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"\n",
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"# Chapter 5: Numbers & Bits"
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]
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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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"\n",
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"# Chapter 6: Text & Bytes"
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]
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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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"\n",
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"# Chapter 6: Text & Bytes"
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]
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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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"\n",
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"# Chapter 7: Sequential Data"
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]
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},
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@ -4,7 +4,6 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"# Chapter 7: Sequential Data"
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]
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},
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@ -741,7 +740,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Side Note**: Above, we make `product()` work with a single *collection* type argument instead of a *sequence* type to keep it more generic: For example, we can pass in a `set` object, like `{2, 5, 10}` below, and `product()` continues to work correctly. The `set` type is introducted in [Chapter 8](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/08_mappings_00_lecture.ipynb#The-set-Type), and one essential difference to the `list` type is that objects of type `set` have *no* order regarding their elements. So, even though `[2, 5, 10]` and `{2, 5, 10}` look almost the same, the order implied in the literal notation gets lost in memory!"
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"**Side Note**: Above, we make `product()` work with a single *collection* type argument instead of a *sequence* type to keep it more generic: For example, we can pass in a `set` object, like `{2, 5, 10}` below, and `product()` continues to work correctly. The `set` type is introducted in [Chapter 9](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/09_mappings_00_lecture.ipynb#The-set-Type), and one essential difference to the `list` type is that objects of type `set` have *no* order regarding their elements. So, even though `[2, 5, 10]` and `{2, 5, 10}` look almost the same, the order implied in the literal notation gets lost in memory!"
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]
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},
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{
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