100% satisfaction guarantee Immediately available after payment Both online and in PDF No strings attached 4.2 TrustPilot
logo-home
Summary

Summary Introduction to Data Science with Python. Grade: 9

Rating
-
Sold
3
Pages
84
Uploaded on
07-12-2020
Written in
2019/2020

Summary of lectures and practice questions from .

Institution
Course











Whoops! We can’t load your doc right now. Try again or contact support.

Written for

Institution
Study
Course

Document information

Uploaded on
December 7, 2020
Number of pages
84
Written in
2019/2020
Type
Summary

Subjects

Content preview

Python summary

Lecture 1
Assign a value to variable “my_first_variable” (same as <- in R)
my_first_variable = 5
Variables are usually in lower case letters in python.

Data types
 Integer (int): 5
 Float (float): 1.5
 String (str): text
 Boolean (bool): True/False (first letter needs to be capitalized)
 Nothing: None (is NULL in other languages)
Collections
 Collections can hold 0, 1 or more elements of any data type
 Sequences: Values are stored in a given order
o List: [1,2,3]
o Tuple: (1,2,3)
o Range: lazily populated tuple
 Sets: Only unique elements
o Set: {1,2,3}
 Dictionaries: key value mappings
o Dict: {1: ‘a’, 2: ‘b’)
o Create a new one with dict() or {}
Numeric operations
 Multiplication
o Var1 * Var2
 Division
o Var1 / Var2
o Division without remainder (e.g. .33) Var1 // Var2
 Remainder
o 3%4=3
o 5%4=1
 Addition & Substraction
o Var1 + Var2
o Var1 – Var2
 Power
o 3 ** 2
 Boolean operations
o True and False
o True and True
o False and False
o Or
o True or False
o False or False
o Or
o Not True
o Not False

,Concatenations
 Var1 + Var2
o ‘Var1Var2’
 You can also do something like: print(Var1 + ‘ ’ + Var2) to get a space in between them. The
variables need to be string otherwise you need to state str(Var1).
Combined operations/assignments
 Assignments is when an = is involved. You can combine assignments with operations
 Var1 += var2
o Above is shorthand for var1 = var1+var2
o Increases readability of the code
Escaping
 For strings both ‘ ‘ or “ “ work. Does not matter really which one to use. But stick to ‘ ‘ for
internal code. So for strings in this course only use ‘ ‘.
 If you want to include a text with quote e.g. customer’s use: ‘Customer\’s’
Formatting strings
 How to put a sentence: there are 55 students in this class
o Num_stud is a variable that holds the number 55
 Use formatting syntax (f)
o F’There are (num_stud) students in this class.’
 When you have a very long integer that isn’t easily readable e.g. 8.3444
 Use :.2f
o F’there are (num_stud:.2f) students in this class’
o Output: There are 8.33 students in this class
To get the index of a number use:
 Variable_name.find() for the first index number. Between brackets put the letter or number
you are looking for.
 Variable_name.rfind() for the last index number.
If you do not want the number, but the piece of text use:
 s[:s.find('h')]. So: put the thing in square brackets and add the variable name again before it.
If you want the letters before the occurrence of h use the semicolon : before it. Otherwise
after it.
 last = s[s.rfind('h') + 1:] you can also put +1 or -1 if you want to go one letter extra for
example.


Variable lists
Most commonly used in Python (lesson 5 of lecture 1)
 A = [1, 2, 3]
 Or
 A = [1, ‘a’, 3]
 Python starts counting from 0. So if you want the first variable in the list:
o A[0] gives
o 1
 Len() function gives the length of a list
o Len(a) = 3
 Slicing: Slice lists in the form of “from1to4” so include the first 4 values, the to element is
excluded so it isn’t “tot en met”
o A[0:4]
o [1,2,3,4]
 Slicing can also be in steps

, o A[:] means we take the entire list
o Output: [1,2,3,4,5]
o A[::2] means we want to take steps of 2 and start at 0
o Output: [1,3,5]
 Negative indices also exist, then you count from the back
o A[-1] gives 5 (from list 1 to 5)
 Check if an element is in list function “in”
o 1 in a
o Output: True
 If you want to count how often something occurs:
o A.count(1)
o Output: 1
 If you want to see which value first occurs
 A.index(1)
o Output: 1
 Modifying lists: lists are mutable
o Change the first element in the list:
 A[0] = 4
 A[4,1,2,3,4,5]
 Appending lists
o A.append(6) means we are adding 6 to the list
o A[4,1,2,3,4,5,6]
 Or with slicing:
o A[len(A):] = [7]
o A[4,1,2,3,4,5,6,7]
 Concatenate lists:
o A+B
o Output: [5,1,2,3,4,5,6,7,’a’,’b’]
 Removing elements from lists:
o A.remove(7)
o A[4,1,2,3,4,5,6]
 Del function can also be used
o Del a[0] removes the first value in the list
o A[1,2,3,4,5,6]
 Shallow copies and nesting
 B.copy()
 Nesting: put a list into another list
o B[0] = [‘a’,’b’,’c’]
o [[‘a’,’b’,’c’],’b’,3]
If you want to remove a value from a string: delete value: use replace. First one is the character you
want to delete, second one is nothing so you replace it with nothing.
 print(s.replace('@', ''))
Tuples
Are like lists, but you cannot change them they are immutable. Everything works exactly the same
but you use () instead of [].
Ranges: Are lazily populated integer tuples. They cannot be changed and not all elements are
immediately there, they are only created when its needed.
 Range(5) gets
o Range(0, 5)
 When you make it a tuple again

, o Tuple(range(5))
o (0,1,2,3,4)
Replace function can alter strings
 Change all a values in tuple ‘a’: A.replace(‘a’, ‘d’)
Slide “Sequence ops” summarizes all functions for lists.

Sets
(number 8 from lecture 1 github). Sets can only contain unique elements
 A = {1,2,3}
 In function to see if a value is in the set
o 1 in a
o True
 Union: | to add all elements from one set to another
o A|b
o {1,2,3,4,5}
 Sets can also be mutated
o A.add(6)
o {1,2,3,4,5,6}
Dictionaries
(number 9 from lectue 1 github) used to map keys to values
 A = {‘a’:1,’ b’:2,’ c’:3)
o A B and C are keys in this statement, 1 2 and 3 are the values
 Also can be done with the dict() function
o B = dict(d=4, e=’g’, f=True)
 Get all keys with: keys() function
o A.keys()
 Get all values with: values() function
o A.values()
 Get all key-value combinations as tuples:
o A.items()
Functions
Object functions are functions executed on an object e.g. a.append to add an element to a list.
 Function sorted([2,1,3]) gives a new list:
o [1,2,3]
 Max function for maximum value Max_age = max([1,2,3])
o Max_age
o 3
Type(): find the type of a variable (e.g. integer)
Non-object functions: Functions can also exist without reference to any class or object
 Len(‘abc’)
o 3
 Min([1,2,3])
o 1
 Sum([1,2,3])
o 6
Type conversion: Functions that convert one data type to another
 When you have numbers as string values you can convert them like:
o Int(‘1’)
o Float(‘1.5’)
o Bool(‘True’)
$6.04
Get access to the full document:

100% satisfaction guarantee
Immediately available after payment
Both online and in PDF
No strings attached


Also available in package deal

Get to know the seller

Seller avatar
Reputation scores are based on the amount of documents a seller has sold for a fee and the reviews they have received for those documents. There are three levels: Bronze, Silver and Gold. The better the reputation, the more your can rely on the quality of the sellers work.
jeremyut Erasmus Universiteit Rotterdam
Follow You need to be logged in order to follow users or courses
Sold
39
Member since
6 year
Number of followers
29
Documents
10
Last sold
3 months ago

4.7

3 reviews

5
2
4
1
3
0
2
0
1
0

Recently viewed by you

Why students choose Stuvia

Created by fellow students, verified by reviews

Quality you can trust: written by students who passed their tests and reviewed by others who've used these notes.

Didn't get what you expected? Choose another document

No worries! You can instantly pick a different document that better fits what you're looking for.

Pay as you like, start learning right away

No subscription, no commitments. Pay the way you're used to via credit card and download your PDF document instantly.

Student with book image

“Bought, downloaded, and aced it. It really can be that simple.”

Alisha Student

Frequently asked questions