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1_Basics/15_Exercise_Basics.ipynb

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@@ -48,7 +48,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"['Data Analyst', 'Business Intelligence Analyst']"
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]
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},
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"execution_count": 20,
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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"qualified_roles"
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]
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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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"Technically you can write this more succinctly using the all() function."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"execution_count": 3,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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"['Data Analyst', 'Business Intelligence Analyst']"
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]
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},
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"execution_count": 18,
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Qualified for the following roles: Data Analyst\n"
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"Qualified for the following roles: Data Analyst, Business Intelligence Analyst\n"
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]
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}
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],
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{

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