Исправлены главы
1231
datatype.ipynb
BIN
fig-datatype/strings_1.png
Normal file
|
After Width: | Height: | Size: 18 KiB |
BIN
fig-datatype/strings_2.png
Normal file
|
After Width: | Height: | Size: 16 KiB |
BIN
fig-datatype/strings_3.png
Normal file
|
After Width: | Height: | Size: 37 KiB |
BIN
fig-datatype/strings_4.png
Normal file
|
After Width: | Height: | Size: 34 KiB |
BIN
fig-intro/jupyter_1.png
Normal file
|
After Width: | Height: | Size: 36 KiB |
BIN
fig-intro/jupyter_2.png
Normal file
|
After Width: | Height: | Size: 47 KiB |
BIN
fig-intro/jupyter_3.png
Normal file
|
After Width: | Height: | Size: 49 KiB |
BIN
fig-intro/jupyter_4.png
Normal file
|
After Width: | Height: | Size: 328 KiB |
BIN
fig-intro/jupyter_5.png
Normal file
|
After Width: | Height: | Size: 3.3 KiB |
BIN
fig-intro/jupyter_6.png
Normal file
|
After Width: | Height: | Size: 9.1 KiB |
BIN
fig-intro/jupyter_6.png~
Normal file
|
After Width: | Height: | Size: 5.5 KiB |
BIN
fig-intro/jupyter_7.png
Normal file
|
After Width: | Height: | Size: 8.9 KiB |
BIN
fig-intro/jupyter_7.png~
Normal file
|
After Width: | Height: | Size: 4.5 KiB |
1797
intro.ipynb
49
src-datatype/quadratic.py
Normal file
@@ -0,0 +1,49 @@
|
|||||||
|
# -*- 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
|
||||||
6
src-intro/.ipynb_checkpoints/Untitled-checkpoint.ipynb
Normal file
@@ -0,0 +1,6 @@
|
|||||||
|
{
|
||||||
|
"cells": [],
|
||||||
|
"metadata": {},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 2
|
||||||
|
}
|
||||||
49
src-intro/Untitled.ipynb
Normal file
@@ -0,0 +1,49 @@
|
|||||||
|
{
|
||||||
|
"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
@@ -0,0 +1,46 @@
|
|||||||
|
{
|
||||||
|
"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
|
||||||
|
}
|
||||||
14
src-intro/fib.py
Normal file
@@ -0,0 +1,14 @@
|
|||||||
|
# -*- 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
@@ -0,0 +1 @@
|
|||||||
|
print("Hello from Python!")
|
||||||
6
src-intro/walkers.py
Normal file
@@ -0,0 +1,6 @@
|
|||||||
|
# -*- 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))
|
||||||