205 lines
3.8 KiB
Plaintext
205 lines
3.8 KiB
Plaintext
{
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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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"# [Numbers](https://docs.python.org/3/library/stdtypes.html#numeric-types-int-float-complex)"
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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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"## `int`"
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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": null,
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"my_int = 6\n",
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"print('value: {}, type: {}'.format(my_int, type(my_int)))"
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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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"## `float`"
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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": null,
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"my_float = float(my_int)\n",
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"print('value: {}, type: {}'.format(my_float, type(my_float)))"
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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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"Note that division of `int`s produces `float`:"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(1 / 1)\n",
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"print(6 / 5)"
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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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"Be aware of the binary floating-point pitfalls (see [Decimal](#decimal) for workaround):"
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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": null,
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"val = 0.1 + 0.1 + 0.1\n",
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"print(val == 0.3)\n",
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"print(val)"
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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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"## Floor division `//`, modulus `%`, power `**`"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"7 // 5"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"7 % 5"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"2 ** 3"
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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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"<a id='decimal'></a>\n",
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"## [`decimal.Decimal`](https://docs.python.org/3/library/decimal.html)"
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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": null,
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"from decimal import Decimal"
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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": null,
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"from_float = Decimal(0.1)\n",
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"from_str = Decimal('0.1')\n",
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"print('from float: {}\\nfrom string: {}'.format(from_float, from_str))"
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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": null,
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"my_decimal = Decimal('0.1')\n",
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"sum_of_decimals = my_decimal + my_decimal + my_decimal\n",
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"print(sum_of_decimals == Decimal('0.3'))"
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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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"## Operator precedence in calculations\n",
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"Mathematical operator precedence applies. Use brackets if you want to change the execution order:"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(1 + 2**2 * 3 / 6) # 1 + 4 * 3 / 6 == 1 + 12 / 6 == 1 + 2\n",
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"print((1 + 2**2) * 3 / 6)"
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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": "3.5.4"
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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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}
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