week2-embedded-meaning

Notes

• Variables:
  • Strings and Integers will be important while word embedding
• Collection Types:
  • lists: ordered
  • tuples
  • set: unordered - tho order is not , no duplicates
  • dictionary:
• Syntax:
  • indentations carry meaning
  • whitespaces around operators make your code easier to read & understand
  • colons indicate blocks
• Conditionals:
  • “if” statement
  • “if - else” statement
  • “if - elif - else” statement

Cheatsheet for Data Types and Data Structures in Python

Name	Type	Category	Example	Trick	Mutable
string	str	text	"William"	quotes	no
integer	int	number	1	no decimal	no
float	float	number	1.1	with decimal	no
Boolean	bool	boolean	True	True or False	no
list	list	sequence	[1, 1.1, "one"]	[]	yes
tuple	tuple	sequence	(1, 1.1, "one")	()	no
set	set	sequence	{1, 1.1, "one"}	{} - unique	yes
dictionary	dict	mapping	{"name": "tom"}	{key:value}	yes

Working with Strings as Data

• String Methods

  • string.upper() — LIKE THIS.
  • string.lower() — like this.
  • string.capitalize() — Like this.
  • string.replace(“the thing to replace”, “the thing you want to replace it with”)
  • string.split(“argument to split from”)

Cheatsheet for Mathematical Operations

operation	code	description	example	result
addition	+	adds numbers together	1+1	2
subtraction	-	subtracts one number from another	1-1	0
multiplication	*	multiplies two numbers	1*2	2
exponential multiplication	**	performs exponential multiplication	2**2	4
division	/	divides one number from another	2/2	1
modulo	%	remainder	2%7	1
floor	//	occurences	2//7	3

Mutability vs Immutability

• mylist.append(“one”)