Исправлены главы

This commit is contained in:
Sergey Lemeshevsky
2020-02-24 11:32:37 +03:00
parent 55d41eebee
commit af27efd7f6
23 changed files with 3016 additions and 219 deletions

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49
src-datatype/quadratic.py Normal file
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# -*- coding: utf-8 -*-
import cmath
import math
import sys
# Start get_float
def get_float(msg, allow_zero):
x = None
while x is None:
try:
x = float(input(msg))
if not allow_zero and abs(x) < sys.float_info.epsilon:
print("zero is not allowed")
x = None
except ValueError as err:
print(err)
return x
# End get_float
# Start 1st block
print("ax\N{SUPERSCRIPT TWO} + bx + c = 0")
a = get_float("enter a: ", False)
b = get_float("enter b: ", False)
c = get_float("enter c: ", False)
# End 1st block
# Start 2d block
x1 = None
x2 = None
discriminant = (b ** 2) - (4 * a * c)
if discriminant == 0:
x1 = -(b / (2 * a))
else:
if discriminant > 0:
root = math.sqrt(discriminant)
else: # discriminant < 0
root = cmath.sqrt(discriminant)
x1 = (-b + root) / (2 * a)
x2 = (-b - root) / (2 * a)
# End 2d block
# Start 3d block
equation = ("{0}x\N{SUPERSCRIPT TWO} + {1}x + {2} = 0"
" \N{RIGHTWARDS ARROW} x = {3}").format(a, b, c, x1)
if x2 is not None:
equation += " or x = {0}".format(x2)
print(equation)
# End 3d block

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{
"cells": [],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 2
}

49
src-intro/Untitled.ipynb Normal file
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Заголовок 1 уровня\n",
"## Заголовок 2 уровня\n",
"### Заголовок 3 уровня"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"> Этот текст печатается со сдвигом\n",
"> по отношению к основному тексту."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.1"
}
},
"nbformat": 4,
"nbformat_minor": 4
}

46
src-intro/Untitled.ipynb~ Normal file
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Заголовок 1 уровня\n",
"## Заголовок 2 уровня\n",
"### Заголовок 3 уровня"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.1"
}
},
"nbformat": 4,
"nbformat_minor": 4
}

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src-intro/fib.py Normal file
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# -*- coding: utf-8 -*-
def fib(n):
"""
Возвращает список первых n чисел Фибоначи
"""
f0, f1 = 0, 1
f = [1]*n
for i in range(1, n):
f[i] = f0 + f1
f0, f1 = f1, f[i]
return f
print(fib(10))

1
src-intro/hello.py Normal file
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print("Hello from Python!")

6
src-intro/walkers.py Normal file
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# -*- coding: utf-8 -*-
import numpy as np
def random_walker_max_distance(M, N):
trajectories = [np.random.randn(M).cumsum() for _ in range(N)]
return np.max(np.abs(trajectories))