fix: resolve multiple issues across Day 1, 2, 8, 14, 18, 22

01_Day_Introduction/helloworld.py

@@ -22,4 +22,5 @@
 print(type('Asabeneh'))          # String
 print(type([1, 2, 3]))           # List
 print(type({'name': 'Asabeneh'}))  # Dictionary
-print(type({9.8, 3.14, 2.7}))    # Tuple
+print(type({9.8, 3.14, 2.7}))    # Set
+print(type((9.8, 3.14, 2.7)))    # Tuple

02_Day_Variables_builtin_functions/02_variables_builtin_functions.md

@@ -231,10 +231,8 @@ print(num_str)                  # '10'
 num_str = '10.6'
 num_float = float(num_str)  # Convert the string to a float first
 num_int = int(num_float)    # Then convert the float to an integer
-print('num_int', int(num_str))      # 10
-print('num_float', float(num_str))  # 10.6
-num_int = int(num_float)
-print('num_int', int(num_int))      # 10
+print('num_int', num_int)      # 10
+print('num_float', num_float)  # 10.6
 
 # str to list
 first_name = 'Asabeneh'

08_Day_Dictionaries/08_dictionaries.md

@@ -39,7 +39,7 @@
 
 ## Dictionaries
 
-A dictionary is a collection of unordered, modifiable(mutable) paired (key: value) data type.
+A dictionary is a collection of insertion-ordered (since Python 3.7+), modifiable(mutable) paired (key: value) data type.
 
 ### Creating a Dictionary
 
@@ -60,7 +60,7 @@ person = {
     'last_name':'Yetayeh',
     'age':250,
     'country':'Finland',
-    'is_marred':True,
+    'is_married':True,
     'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'],
     'address':{
         'street':'Space street',
@@ -119,7 +119,7 @@ person = {
     'last_name':'Yetayeh',
     'age':250,
     'country':'Finland',
-    'is_marred':True,
+    'is_married':True,
     'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'],
     'address':{
         'street':'Space street',
@@ -141,7 +141,7 @@ person = {
     'last_name':'Yetayeh',
     'age':250,
     'country':'Finland',
-    'is_marred':True,
+    'is_married':True,
     'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'],
     'address':{
         'street':'Space street',
@@ -172,7 +172,7 @@ person = {
     'last_name':'Yetayeh',
     'age':250,
     'country':'Finland',
-    'is_marred':True,
+    'is_married':True,
     'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'],
     'address':{
         'street':'Space street',
@@ -202,7 +202,7 @@ person = {
     'last_name':'Yetayeh',
     'age':250,
     'country':'Finland',
-    'is_marred':True,
+    'is_married':True,
     'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'],
     'address':{
         'street':'Space street',
@@ -247,7 +247,7 @@ person = {
     'last_name':'Yetayeh',
     'age':250,
     'country':'Finland',
-    'is_marred':True,
+    'is_married':True,
     'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'],
     'address':{
         'street':'Space street',

14_Day_Higher_order_functions/14_higher_order_functions.md

@@ -349,7 +349,7 @@ numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
 1. Use filter to filter out countries having exactly six characters.
 1. Use filter to filter out countries containing six letters and more in the country list.
 1. Use filter to filter out countries starting with an 'E'
-1. Chain two or more list iterators (eg. arr.map(callback).filter(callback).reduce(callback))
+1. Chain two or more list iterators (eg. use map(), filter(), and reduce() together on a list.)
 1. Declare a function called get_string_lists which takes a list as a parameter and then returns a list containing only string items.
 1. Use reduce to sum all the numbers in the numbers list.
 1. Use reduce to concatenate all the countries and to produce this sentence: Estonia, Finland, Sweden, Denmark, Norway, and Iceland are north European countries

18_Day_Regular_expressions/18_regular_expressions.md

@@ -69,7 +69,7 @@ To find a pattern we use different set of *re* character sets that allows to sea
 
 ```py
 # syntax
-re.match(substring, string, re.I)
+re.search(substring, string, re.I)
 # substring is a string or a pattern, string is the text we look for a pattern , re.I is case ignore
 ```
 

22_Day_Web_scraping/22_web_scraping.md

@@ -99,7 +99,7 @@ For reference check the [beautifulsoup documentation](https://www.crummy.com/sof
 
 ## 💻 Exercises: Day 22
 
-1. Scrape the following website and store the data as json file(url = 'http://www.bu.edu/president/boston-university-facts-stats/').
+1. Scrape the following website and store the data as json file(url = 'https://www.bu.edu/president/boston-university-facts-stats/').
 1. Extract the table in this url (https://archive.ics.uci.edu/ml/datasets.php) and change it to a json file
 2. Scrape the presidents table and store the data as json(https://en.wikipedia.org/wiki/List_of_presidents_of_the_United_States). The table is not very structured and the scrapping may take very long time.