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rmccorm4rmccorm4
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finish all(), starting any()
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‎built_in_functions/.ipynb_checkpoints/all-checkpoint.ipynb

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{
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"cells": [
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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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"# all(iterable)\n",
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"\n",
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"Returns `True` if all elements of the iterable are true (or if the iterable is empty):"
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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": 1,
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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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"False\n"
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]
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}
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],
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"source": [
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"mixed = [True, False, True]\n",
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"print(all(mixed))"
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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": 2,
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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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"True\n"
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]
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}
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],
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"source": [
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"trues = [True, True, True]\n",
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"print(all(trues))"
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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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"You can make use of list/dict/set comprehension as the `iterable` for the `all()` function. This\n",
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"is what makes it more powerful. You usually aren't just given a list of booleans in practice:"
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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": 5,
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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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"False\n"
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]
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}
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],
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"source": [
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"nums = list(range(-5, 5))\n",
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"\n",
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"# Check if every number in list is positive\n",
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"print(all(number > 0 for number in nums))"
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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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"Furthermore, you can use this to check for things such as, if a list contains any bad/null values:"
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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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"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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"True\n"
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]
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}
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],
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"source": [
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"# Personal Info Form\n",
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"# [First Name, Last Name, Email, Phone Number]\n",
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"good_values = [\"Ryan\", \"McCormick\", \"rmccorm4@binghamton.edu\", \"123-456-7890\"]\n",
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"print(all(x is not None for x in good_values))"
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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": 12,
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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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"False\n"
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]
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}
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],
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"source": [
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"# If someone doesn't fill in all the fields of the form\n",
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"missing_values = [\"Guy\", \"Fawkes\", \"anonymous@4chan\", None]\n",
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"print(all(x is not None for x in missing_values))"
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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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"You can also use it to check for empty strings(''):"
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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": 16,
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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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"False\n"
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]
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}
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],
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"source": [
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"strings = [\"hello\", \"\"]\n",
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"print(all(strings))"
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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": 17,
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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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"True\n"
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]
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}
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],
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"source": [
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"strings2 = [\"hello\", \"world\"]\n",
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"print(all(strings2))"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎built_in_functions/all.ipynb

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{
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"cells": [
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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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"# all(iterable)\n",
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"\n",
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"Returns `True` if all elements of the iterable are true (or if the iterable is empty):"
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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": 1,
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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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"False\n"
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]
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}
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],
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"source": [
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"mixed = [True, False, True]\n",
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"print(all(mixed))"
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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": 2,
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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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"True\n"
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]
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}
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],
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"source": [
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"trues = [True, True, True]\n",
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"print(all(trues))"
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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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"You can make use of list/dict/set comprehension as the `iterable` for the `all()` function. This\n",
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"is what makes it more powerful. You usually aren't just given a list of booleans in practice:"
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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": 5,
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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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"False\n"
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]
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}
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],
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"source": [
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"nums = list(range(-5, 5))\n",
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"\n",
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"# Check if every number in list is positive\n",
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"print(all(number > 0 for number in nums))"
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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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"Furthermore, you can use this to check for things such as, if a list contains any bad/null values:"
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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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"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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"True\n"
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]
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}
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],
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"source": [
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"# Personal Info Form\n",
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"# [First Name, Last Name, Email, Phone Number]\n",
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"good_values = [\"Ryan\", \"McCormick\", \"rmccorm4@binghamton.edu\", \"123-456-7890\"]\n",
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"print(all(x is not None for x in good_values))"
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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": 12,
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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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"False\n"
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]
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}
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],
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"source": [
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"# If someone doesn't fill in all the fields of the form\n",
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"missing_values = [\"Guy\", \"Fawkes\", \"anonymous@4chan\", None]\n",
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"print(all(x is not None for x in missing_values))"
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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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"You can also use it to check for empty strings(''):"
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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": 16,
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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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"False\n"
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]
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}
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],
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"source": [
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"strings = [\"hello\", \"\"]\n",
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"print(all(strings))"
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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": 17,
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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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"True\n"
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]
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}
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],
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"source": [
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"strings2 = [\"hello\", \"world\"]\n",
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"print(all(strings2))"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎built_in_functions/all.py

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