I719 Fundamentals of Python/lecture6: Difference between revisions

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add solutions for part 1
Line 8: Line 8:


<pre>['cat', 'dog']</pre>
<pre>['cat', 'dog']</pre>
=== Solution: Imperative ===
You must know how to do this solution
<source lang="python">def uppercase_list(l):
    result = []
    for i in l:
        result.append(i.upper())
    return result</source>
=== Solution: Functional ===
<source lang="python">def uppercase_list(l):
    return list(map(lambda i: i.upper(), l))</source>
=== Solution: Modern ===
<source lang="python">def uppercase_list(l):
    return [i.upper() for i in l]</source>
== TASK 2 ==
== TASK 2 ==


Line 15: Line 32:


<pre>{'cat': 'kass', 'dog': 'koer'}</pre>
<pre>{'cat': 'kass', 'dog': 'koer'}</pre>
== Review ==
=== Solution: Imperative ===


write a function that makes all characters in a list uppercase
You need to understand how this solution works


* using a loop
<source lang="python">def uppercase_dict_values(d):
* using map
    result = {}
* using a list comprehension
    for k, v in d.items():
 
        result[k] = v.upper()
== Filtering ==
    return result</source>
 
=== Solution: Modern ===
* using for loop and creating a new list
* using <code>filter</code> + callable (function or lambda)
* using a list comprehension


<source lang="python">def uppercase_dict_values(d):
    return {k: v.upper() for k, v in d.items()}</source>
== TASK 3 ==
== TASK 3 ==


Line 34: Line 50:
call it with <code>range(0, 30)</code>
call it with <code>range(0, 30)</code>


=== Solution: Imperative ===
<source lang="python">def exclude_divisible_by_3_and_5(l):
    result = []
    for i in l:
        if not (i % 3 == 0 or i % 5 == 0):
            result.append(i)
    return result</source>
=== Solution: Functional ===
<source lang="python">def is_not_divisible_by_3_and_5(n):
    if not (n % 3 == 0 or n % 5 == 0):
        return True
    else:
        return False
def exclude_divisible_by_3_and_5(l):
    result = filter(is_not_divisible_by_3_and_5, l)
    return list(result)</source>
== Slicing ==
== Slicing ==


Line 66: Line 101:
my_sort_function(my_list)
my_sort_function(my_list)
[10, 11, 177, 9, 199]</source>
[10, 11, 177, 9, 199]</source>
=== Solution ===
<source lang="python">def reverse_digit_order(n):
    """Revere the order of the digits in a number"""
    return str(n)[::-1]
def sort_list_by_smallest_digit(l):
    return sorted(l, key=reverse_digit_order)</source>
= Interlude: Packages and Requirements =
= Interlude: Packages and Requirements =


Line 88: Line 132:


<code>import numpy as np</code>
<code>import numpy as np</code>
sqaure every element in list of integers<br />
square every element in array of integers
change shape of array


== Solve system of linear equations ==
== Solve system of linear equations ==

Revision as of 18:30, 9 March 2017

Lists and Arrays

TASK 1

Write a function that makes all characters in a list uppercase!

call it with the following list, and print the result

['cat', 'dog']

Solution: Imperative

You must know how to do this solution

def uppercase_list(l):
    result = []
    for i in l:
        result.append(i.upper())
    return result

Solution: Functional

def uppercase_list(l):
    return list(map(lambda i: i.upper(), l))

Solution: Modern

def uppercase_list(l):
    return [i.upper() for i in l]

TASK 2

Write a function that makes all character in the values of a dict uppercase!

call it with the following dict and print the results.

{'cat': 'kass', 'dog': 'koer'}

Solution: Imperative

You need to understand how this solution works

def uppercase_dict_values(d):
    result = {}
    for k, v in d.items():
        result[k] = v.upper()
    return result

Solution: Modern

def uppercase_dict_values(d):
    return {k: v.upper() for k, v in d.items()}

TASK 3

write a function that filters out numbers divisible by 3 and 5
call it with range(0, 30)

Solution: Imperative

def exclude_divisible_by_3_and_5(l):
    result = []
    for i in l:
        if not (i % 3 == 0 or i % 5 == 0):
            result.append(i)
    return result

Solution: Functional

def is_not_divisible_by_3_and_5(n):
    if not (n % 3 == 0 or n % 5 == 0):
        return True
    else:
        return False

def exclude_divisible_by_3_and_5(l):
    result = filter(is_not_divisible_by_3_and_5, l)
    return list(result)

Slicing

In [1]: a = "Hello World"

In [2]: a[:2]
Out[2]: 'He'

In [3]: a[2:]
Out[3]: 'llo World'

In [4]: a[-2:]
Out[4]: 'ld'

In [5]: a[:-2]
Out[5]: 'Hello Wor'

In [6]: a[:-2:2]
Out[6]: 'HloWr'

In [7]: a[::2]
Out[7]: 'HloWrd'

In [8]: a[::-1]
Out[8]: 'dlroW olleH'

TASK 4

write a function that sorts numbers in a list by the smallest digit of the integer.
i.e.

my_list = [11, 10, 9, 177, 199]
my_sort_function(my_list)
[10, 11, 177, 9, 199]

Solution

def reverse_digit_order(n):
    """Revere the order of the digits in a number"""
    return str(n)[::-1]


def sort_list_by_smallest_digit(l):
    return sorted(l, key=reverse_digit_order)

Interlude: Packages and Requirements

python application often include a requirements.txt that lists pip dependencies

python packages are formatted as

package_name/
    package_name/
        __init__.py
    setup.py

and setup.py include information on depedencies
see: https://github.com/pypa/sampleproject/blob/master/setup.py

Numpy

  • it is faster
  • it allows multidimensional arrays
  • meant for math

Basics

import numpy as np

Solve system of linear equations

x - y = 3
7x - y = -3

becomes in matrix multiplaction

A = [[1, -1]  . [[x],  = [[3],
     [7, -1]]    [y]]     [-3]]
In [68]: a = np.array([[1, -1],[7, -1]])

In [69]: a
Out[69]:
array([[ 1, -1],
       [ 7, -1]])

In [70]: b = np.array([[3],[-3]])

In [71]: b
Out[71]:
array([[ 3],
       [-3]])

In [72]: a_inverse = np.linalg.inv(a)

In [73]: a_inverse
Out[73]:
array([[-0.16666667,  0.16666667],
       [-1.16666667,  0.16666667]])

In [74]: a_inverse.dot(b)
Out[74]:
array([[-1.],
       [-4.]])

Task 3

solve for x,y, and z

x + y + z = 6
2y + 5z = -4
2x + 5y - z = 27

Pandas

https://blockchain.info/charts/market-price?timespan=1year

download the csv

Open the the csv with pandas

import pandas as pd
btc_price = pd.read_csv('~/Downloads/market-price.csv', names=['datetime', 'usd'], parse_dates=[0])

TASKS

show only days where price is above 1000USD

How many days was the price above 1000USD?

What was the price 6 months ago?

What was the average price last year?

What was the average price in august?

Plot the days on a line graph

import matplotlib.pyplot as plt
import pandas as pd

btc_price = pd.read_csv('~/Downloads/market-price.csv', names=['datetime', 'usd'], parse_dates=[0])



x = btc_price.datetime
y = btc_price.usd
plt.plot(x, y)

plt.xlabel('Date')
plt.ylabel('USD')
plt.title('BTC to USD')
plt.grid(True)
plt.show()