Welcome to my Python learning journey. As a computer-science student diving in the world of python. This README provides an overview of the different python concepts and functionalities i have explored and implemented.
In learning the basic operaions i begun my learning journey, by learning the fundamental arithemetic operations.. These are very essential for any programming language.
# Addition
print(4 + 5)
# Subtraction
print(8 - 5)
# Multiplication
print(5 * 3)
# Division
print(10 / 2)
In managing and organizing code, list and tuples are important data structures these are powerful ordered collections.
- Lists :
- lists are mutable and they allow for dynamic modification of their elements
- Tuples
- tuples are immutable and they offer the added benefit of being faster and memory efficient.
A = (0, 1, 2, 3, 4, 5, 6)
print(A[6])
print(A[-1])
# Slicing a list
B = ["a", "b", "c", "d", "e", "f", "g"]
print(B[2:])
# Creating and indexing tuples
tuple1 = ("disco", 10, 1.5)
print(type(tuple1))
print(tuple1[0])
print(tuple1[1])
print(tuple1[2])
# Negative indexing
print(tuple1[-1])
print(tuple1[-2])
print(tuple1[-3])
# Concatenation of tuples
tuple2 = tuple1 + ("hard rock", 10)
print(tuple2)
# Slicing tuples
print(tuple2[0:3])
print(tuple2[3:4])
print(tuple2[3:5])
print(tuple1[0:2])
# Sorting tuples
tuple3 = (0, 9, 6, 5, 10, 8, 9, 6, 2)
tupleSort = sorted(tuple3)
print(tupleSort)
# Nesting tuples
NestTuple = (1, 2, ("pop", "rock"), (3, 4), ("disco", (1, 2)))
print(NestTuple[0])
print(NestTuple[1])
print(NestTuple[2])
print(NestTuple[3])
print(NestTuple[4])
print("Element 2, 0 of Tuple:", NestTuple[2][0])
print("Element 2, 1 of Tuple:", NestTuple[2][1])
print("Element 3, 0 of Tuple:", NestTuple[3][0])
print("Element 3, 1 of Tuple:", NestTuple[3][1])
print("Element 4, 0 of Tuple:", NestTuple[4][0])
print("Element 4, 1 of Tuple:", NestTuple[4][1])
In python string manipulation involve various operations that help modify and prcess strings. This is important because they are essential for data manipulation, text processing and generating dynamic content.
# String slicing and indexing
Numbers = "0123456"
print(Numbers[::2])
print("0123456".find('1'))
name = "Micheal Jackson"
print(name[0])
print(name[6])
print(name[13])
print(name[-1])
print(name[-15])
print(len(name))
print(name[0:4])
print(name[8:12])
print(name[::2])
print(name[0:5:2])
# String concatenation
statement = name + " " + "Is the best"
print(statement)
# Repeating strings
print(3 * name)
name = name + " " + "Dances Pretty well."
print(name)
# Escape sequences
print("Micheal Jackson \n is the best")
print("Micheal Jackson \t is the best")
print("Micheal Jackson is \\ the best")
print(r"Micheal Jackson \ is the best")
# String methods
a = "Thriller is his sixth studio album"
print("Before applying upper:", a)
b = a.upper()
print("After applying upper:", b)
a = "MICHEAL JACKSON IS THE BEST"
print("Before applying lower:", a)
b = a.lower()
print("After applying lower:", b)
a = "Micheal Jackson is the best0"
b = a.replace('Micheal', 'KingKrule')
print(b)
test_string = "Hello! Micheal Jackson has: 42 Characters."
print(len(test_string))
b = test_string.replace('!', ' ').replace(':', ' ').replace('.', ' ')
print(b)
# String find method
artist_name = "King Krule"
print(artist_name.find("Kr"))
print(artist_name.find("Krule"))
print(artist_name.find("qwertyuiop"))
# String split method
splitting_string = artist_name.split()
print(splitting_string)
regex in python are used in matching strings of text i.e characters, patterns or patterns of characters.
import re
# Search method
sl = "This is me testing RegEx!"
pattern = r"testing"
search_result = re.search(pattern, sl)
if search_result:
print("Match Found!!!")
else:
print("Match Not Found!")
# Matching digits
my_pattern = r"\d\d\d\d\d\d\d\d\d\d"
text1 = "My Phone Number is 1234567890"
match = re.search(my_pattern, text1)
if match:
print("Phone number found!!!", match.group())
else:
print("No Match!")
# Finding non-word characters
my_pattern2 = r"\W"
text2 = "Hello-world!!!"
matches = re.findall(my_pattern2, text2)
print("Matches:", matches)
# Find all occurrences
s2 = "Micheal Jackson was a singer and Known as the King of Pop!!"
the_result = re.findall("as", s2)
print(the_result)
# Split method
splitting_array = re.split("\s", s2)
print(splitting_array)
# Sub method
my_pattern3 = r"King of Pop"
replacement = "legend"
new_string = re.sub(my_pattern3, replacement, s2, flags=re.IGNORECASE)
print(new_string)
# Search for digits
the_pattern = "House number-20111"
the_pattern = re.search("\d", the_pattern)
if the_pattern:
print("Digit found in the Pattern")
else:
print("Digit not Found in the Pattern!")
# Replace substring
strl = "The quick brown fox jumps over the lazy dog."
strl2 = r"fox"
replacement_word = "bear"
new_strl = re.sub(strl2, replacement_word, strl, flags=re.IGNORECASE)
print(new_strl)
# Find all occurrences of a substring
strl3 = "How much wood would a woodchuck chuck, if a woodchuck could chuck wood?"
finding = re.findall("woo", strl3)
print(finding)