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Computer Science 114 Summary

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Complete summary and guide to Computer Science 114, 1st year, 1st semester module. Includes a summary of all content covered as well as important pieces of code which are examined. The ultimate summary to succeed in computer science.

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Computer Science Notes CS 114
Strings
General

string[x] - returns the character at that position in the string.

string[0:2] - returns the 1st and 2nd characters [incl. : excl.]

string[1:len(string)-1] - returns the middle of the string

len(string) - returns the length of the string. (cat = 3)

+ - concatenate string.

== - checks if the strings are the same.

.contains(str) - checks if a string contains a certain string

.index(str) - returns the position of the character in the string



Manipulative Methods

.upper() - converts the string to uppercase

.lower() - converts the string to lowercase

.casefold() - converts string to lowercase, includes additional characters

.replace(old, new, count) - replaces certain characters in a string with the new input




Ethan Ganz 1

, Arithmetic
Functions

+ - addition

- - subtraction

/ - normal division ( = 2.5)

// - floor division (5 // 2 = 2)

* - multiplication

**2 - to the power of 2 (**5 = to the power of 5)

Note: - Considers order of operation

print(str(x) + ‘ ‘ + str(y)) - prints “x y” (x and y are integers or floats)



Methods

max(a, b, c) - returns the variable with the largest value.

min(a, b, c) - returns the variable with the smallest value.

abs(x) - returns the absolute value of x.

abs(x) % 10 - returns the last digit of the number.



Math class

math.sqrt() - returns the square root of a float

math.exp(a) - e to the power of a

math.log(a, b) - log a with base b

math.pi - pie

math.e -e (2.718281828459045…)



Random class

random.random - random float between [0, 1)

random.uniform(a, b) - random float between [a, b] (or [a, b) )

random.int(a, b) - random int between [a, b]

random.range(a, b, c) - random int between [a, b) within the increment c

random.shuffle(a) - shuffles array a randomly (works with 1D or 2D array)

random.gauss(a, b) - Gaussian distribution (a = mu, b = sigma)


Ethan Ganz 2

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