Python- Basic.pptx with data types, lists, and tuples with dictionary

Basics of Python including lists, tuples and dictionary

1. Python- Basic

2. Introduction to Python: Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable. Python is Interpreted Python is Interactive Python is Object-Oriented Python is a Beginner's Language

3. Advantages of Python As mentioned before, Python is one of the most widely used language over the web. I'm going to list few of them here: Easy-to-learn Easy-to-read Easy-to-maintain A broad standard library Portable

4. Applications of Python

5. Characteristics of Python Following are important characteristics of Python Programming − It supports functional and structured programming methods as well as OOP. It can be used as a scripting language or can be compiled to byte-code for building large applications. It provides very high-level dynamic data types and supports dynamic type checking. It supports automatic garbage collection. It can be easily integrated with C, C++, COM, ActiveX, CORBA, and Java.

6. Examples: Program 1: Print(“ "Hello, Python!" ) Program 2: # This program adds two numbers num1 = 1.5 num2 = 6.3 # Add two numbers sum = num1 + num2 # Display the sum print('The sum of {0} and {1} is {2}'.format(num1, num2, sum))

7. Python Data Types Variables can store data of different types, and different types can do different things. Python has the following data types built-in by default, in these categories:

8. Text Type: str Numeric Types: int, float, complex Sequence Types: list, tuple, range Mapping Type: dict Set Types: set,  frozenset Boolean Type: bool Binary Types: bytes,  bytearray ,  memoryview

9. Getting the Data Type x =  5 print ( type (x)) Setting the Data Type x = "Hello World" #display x: print(x) #display the data type of x: print(type(x))

10. Numbers Int : Example: x = 1 y =35656222554887711 z = -3255522 print ( type (x)) print ( type (y)) print ( type (z)) Float Example: x =  1.10 y =  1.0 z = - 35.59 print ( type (x)) print ( type (y)) print ( type (z)) Complex Example: x =  3 +5j y = 5j z = -5j print ( type (x)) print ( type (y)) print ( type (z))

11. Strings Single Line: a =  "Hello" print (a) Multiline Strings: a =  """Lorem ipsum dolor sit amet , consectetur adipiscing elit , sed do eiusmod tempor incididunt ut labore et dolore magna aliqua .""" print (a)

12. Slicing: b =  "Hello, World!" print (b[ 2 : 5 ]) Upper Case: a =  "Hello, World!" print ( a.upper ()) Lower Case: a =  "Hello, World!" print ( a.lower ())

13. String Concatenation: a =  "Hello" b =  "World" c = a + b print (c) String Replace: a =  "Hello" a.repl ace (“H”,”K”) Remove Whitespace: a =  " Hello, World! " print ( a.strip ()) 

14. Python Lists Lists are the most versatile of Python's compound data types. A list contains items separated by commas and enclosed within square brackets ([]). To some extent, lists are similar to arrays in C. One difference between them is that all the items belonging to a list can be of different data type. list = [ ' abcd ' , 786 , 2.23 , 'john' , 70.2 ] tinylist = [ 123 , 'john' ] print list # Prints complete list print list [ ] # Prints first element of the list print list [ 1 : 3 ] # Prints elements starting from 2nd till 3rd print list [ 2 :] # Prints elements starting from 3rd element print tinylist * 2 # Prints list two times print list + tinylist # Prints concatenated lists

15. Add List Items: Append Items: thislist = [ "apple" ,  "banana" ,  "cherry" ] thislist.append ( "orange" ) print ( thislist ) Insert Items: thislist = [ "apple" ,  "banana" ,  "cherry" ] thislist.insert ( 1 ,  "orange" ) print ( thislist ) Extend List: thislist = [ "apple" ,  "banana" ,  "cherry" ] tropical = [ "mango" ,  "pineapple" ,  "papaya" ] thislist.extend (tropical) print ( thislist )

16. Python - Remove List Items Remove Specified Item: thislist = [ "apple" ,  "banana" ,  "cherry" ] thislist.remove ( "banana" ) print ( thislist ) Remove Specified Index: thislist = [ "apple" ,  "banana" ,  "cherry" ] thislist.pop ( 1 ) print ( thislist ) Del: thislist = [ "apple" ,  "banana" ,  "cherry" ] del   thislist [ ] print ( thislist ) Clear the List: thislist = [ "apple" ,  "banana" ,  "cherry" ] thislist.clear () print ( thislist )

17. Sort List Alphanumerically: thislist = ["orange", "mango", "kiwi", "pineapple", "banana"] thislist.sort () print( thislist ) Sort Descending: thislist = ["orange", "mango", "kiwi", "pineapple", "banana"] thislist.sort (reverse = True) print( thislist ) thislist = [ "apple" ,  "banana" ,  "cherry" ] Copy a List: mylist  = thislist.copy () print ( mylist )

18. Python Tuples A tuple is another sequence data type that is similar to the list. A tuple consists of a number of values separated by commas. Unlike lists, however, tuples are enclosed within parentheses. The main differences between lists and tuples are: Lists are enclosed in brackets ( [ ] ) and their elements and size can be changed, while tuples are enclosed in parentheses ( ( ) ) and cannot be updated. Tuples can be thought of as read-only lists. For example tuple = ( ' abcd ' , 786 , 2.23 , 'john' , 70.2 ) tinytuple = ( 123 , 'john' ) print tuple # Prints the complete tuple print tuple [ ] # Prints first element of the tuple print tuple [ 1 : 3 ] # Prints elements of the tuple starting from 2nd till 3rd print tuple [ 2 :] # Prints elements of the tuple starting from 3rd element print tinytuple * 2 # Prints the contents of the tuple twice print tuple + tinytuple # Prints concatenated tuples

19. Access Tuple Items: thistuple = ( "apple" ,  "banana" ,  "cherry" ) print ( thistuple [ 1 ]) Negative Indexing: thistuple = ( "apple" ,  "banana" ,  "cherry" ) print ( thistuple [- 1 ]) Change Tuple Values: x = ( "apple" ,  "banana" ,  "cherry" ) x [1]= “Kiwi” print( x) Del: thistuple = ( "apple" ,  "banana" ,  "cherry" ) del   thistuple print ( thistuple )

20. Python Dictionaries Python's dictionaries are kind of hash table type. They work like associative arrays or hashes found in Perl and consist of key-value pairs. A dictionary key can be almost any Python type, but are usually numbers or strings. Values, on the other hand, can be any arbitrary Python object. Dictionaries are enclosed by curly braces ({ }) and values can be assigned and accessed using square braces ([]). For example − #!/ usr /bin/python dict = {} dict [ 'one' ] = "This is one" dict [ 2 ] = "This is two" tinydict = { 'name' : 'john' , 'code' : 6734 , 'dept' : 'sales’ } print dict [ 'one' ] # Prints value for 'one' key print dict [ 2 ] # Prints value for 2 key print tinydict # Prints complete dictionary print tinydict . keys () # Prints all the keys print tinydict . values () # Prints all the values

21. Accessing Items: thisdict =   {    "brand" :  "Ford" ,    "model" :  "Mustang" ,    "year" :  1964 } x = thisdict [ "model" ] Change Values: thisdict =   {    "brand" :  "Ford" ,    "model" :  "Mustang" ,    "year" :  1964 } thisdict [ "year" ] =  2018

22. Update Dictionary: thisdict =   {    "brand" :  "Ford" ,    "model" :  "Mustang" ,    "year" :  1964 } thisdict.update ({ "year" :  2020 }) Adding Items: thisdict =   {    "brand" :  "Ford" ,    "model" :  "Mustang" ,    "year" :  1964 } thisdict [ " color " ] =  "red" print ( thisdict )

23. Removing Items POP: thisdict =   {    "brand" :  "Ford" ,    "model" :  "Mustang" ,    "year" :  1964 } thisdict.pop ( "model" ) print ( thisdict ) Del thisdict =   {    "brand" :  "Ford" ,    "model" :  "Mustang" ,    "year" :  1964 } del   thisdict print ( thisdict )  #this will cause an error because " thisdict " no longer exists. Clear thisdict =   {    "brand" :  "Ford" ,    "model" :  "Mustang" ,    "year" :  1964 } thisdict.clear () print ( thisdict )

24. Data Type (Special ): Sets are used to store multiple items in a single variable. Set is one of 4 built-in data types in Python used to store collections of data, the other 3 are List , Tuple , and Dictionary , all with different qualities and usage. A set is a collection which is both unordered and unindexed . Sets are written with curly brackets. Create a Set: thisset = { "apple" , "banana" , "cherry" } print ( thisset )

25. Add Items: thisset = { "apple" ,  "banana" ,  "cherry" } thisset.add ( "orange" ) print ( thisset ) Remove Item: thisset = { "apple" ,  "banana" ,  "cherry" } thisset.remove ( "banana" ) print ( thisset ) Discard Item: thisset = { "apple" ,  "banana" ,  "cherry" } thisset.discard ( "banana" ) print ( thisset )

26. Clear: thisset = { "apple" ,  "banana" ,  "cherry" } thisset.clear () print ( thisset ) Del: thisset = { "apple" ,  "banana" ,  "cherry" } del   thisset print ( thisset ) Pop: thisset = { "apple" ,  "banana" ,  "cherry" } x =   thisset.pop () print (x) print ( thisset )