Bundle Multi (3 in 1) – Python Programming – Course Syllabus

 

Python Programming - syllabus

 

Introduction to Python Programming

• What is Python Programming?
• History of Python Programming
• Features of Python Programming
• Why to learn Python Programming
• Application of Python Programming

 

Setup of Python Programming

• Getting Python
• Installation of Python
• Getting started with the first Python program
• Running the first Python Program

 

Variables and Data types

• What is a variable?
• Declaration of variable
• Variable assignment
• Data types in Python
• Checking Data type
• Data types Conversion
• Python programs for Variables and Data types

 

Python Identifiers, Keywords, Reading Input, Output Formatting

• What is an Identifier?
• Keywords
• Reading Input
• Taking multiple inputs from user
• Output Formatting
• Python end parameter

 

Operators in Python

• Operators and types of operators

1. Arithmetic Operators
2. Relational Operators
3. Assignment Operators
4. Logical Operators
5. Membership Operators
6. Identity Operators
7. Bitwise Operators

• Python programs for all types of operators

 

DECISION MAKING

• Introduction to Decision making
• Types of decision-making statements
• Introduction, syntax, flowchart and programs for

1. if statement
2. if…else statement
3. elif statement

 

Loops

• Introduction to loops
• Types of loops

1. for loop
2. while loop
3. infinite loop
4. nested loop

• Break, continue and pass statement
• Python programs for all types of loops

 

NUMBERS

• Number Type Conversion
• Random Number Functions
• Trigonometric Functions
• Mathematical Constants

 

STRINGS

• Accessing Values in Strings
• Updating Strings
• String Special Operators
• Built-in String Methods

 

LISTS

• Python Lists
• Accessing Values in Lists
• Updating Lists
• Deleting List Elements
• Basic List Operations
• Built-in List Functions and Methods

 

TUPLES

• Accessing Values in Tuples
• Updating Tuples
• Deleting Tuple Elements
• Basic Tuples Operations
• Built-in Tuple Functions
• Difference between list and tuple

 

DICTIONARY

• Accessing Values in Dictionary
• Updating Dictionary
• Delete Dictionary Elements
• Properties of Dictionary Keys
• Built-in Dictionary Functions and Methods

 

DATE AND TIME 

• What is Tick?
• What is TimeTuple?
• Getting Current Time
• Getting Formatted Time
• Getting Calendar for a Month

 

FUNCTIONS  

• Defining a Function
• Calling a Function
• Passing by Reference versus Passing by Value
• Ways to write function
• Types of functions
• Anonymous function
• Recursive Function

 

MODULES  

• What is a module?
• Creating a module
• The import Statement
• The ‘from’ import Statement
• Renaming a module
• Using the dir() function
• The ‘from’ import * Statement
• Locating Modules

 

FILES I/O   

• Printing to the Screen
• Opening and Closing Files
• The open Function
• The file Object Attributes
• The close() Method
• Reading and Writing Files
• The write() Method
• The read() Method
• More Operations on Files

 

EXCEPTIONS   

• What is Exception?
• Handling an Exception
• The except Clause with No Exceptions
• The except Clause with Multiple Exceptions
• The try-finally Clause
• List of Standard Exception
• Raising an Exception
• Argument of an Exception

 

CLASSES AND OBJECTS

• What is an Object?
• What is a Class?
• Creating a Class
• Creating an object
• Self in Python
• __init__ method
• Examples

 

REGULAR EXPRESSION

• What is a REGULAR EXPRESSION?
• Metacharacters
• match() function
• search() function
• match() vs re.search()
• findall() function
• split() function
• sub() function

 

GUI Programming

• What is a GUI PROGRAMMING?
• Tkinter Programming
• Tkinter Widgets
• Building Your First Python GUI program with Tkinter

 

 

PYTHON FOR BEGINNERS

PYTHON TUTORIAL FOR BEGINNERS SYLLABUS.

1. INTRODUCTION TO PYTHON: why learn python, feature of python, importance of learning python, application of python programming.
2. BASIC ELEMENTS OF PYTHON: keywords, data types, identifiers, operators, statements.
3. INSTALLATION OF PYTHON.
4. INPUT AND OUTPUT STATEMENTS IN PYTHON.
5. DATA TYPES IN PYTHON: int, float, strings, lists, tuples, dictionaries.
6. OPERATORS IN PYTHON: arithmetic, logical, assignment, relational, bitwise, membership operators.
7. TYPE CONVERSION IN PYTHON: implicit and explicit conversion in python.
8. BASIC PROGRAMMING IN PYTHON.
9. INTRODUCTION TO MATH MODULE IN PYTHON.
10. CONDITIONAL STATEMENTS IN PYTHON: simple if, simple if-else, multiple if-else, nested if-else.
11. LOOPING IN PYTHON: for loop, while loop in python, break and continue keywords in python, nested for loop in python.
12. FUNCTIONS IN PYTHON: declaration and definition of functions in python, passing arguments in functions, return keyword, function calling, arbitrary arguments, keywords arguments, default arguments in python.
13. STRINGS IN PYTHON: basics of strings, string functions.
14. LISTS IN PYTHON: introduction, list functions in python, list programs.
15. TUPLES IN PYTHON: basics, tuple functions.
16. SETS IN PYTHON: basics, set operations.
17. DICTIONARIES IN PYTHON: basics, functions in dictionaries, examples.
18. BUILT-IN METHODS IN PYTHON.
19. LAMBDA FUNCTIONS IN PYTHON.
20. FILE HANDLING IN PYTHON.
21. EXCEPTION HANDLING IN PYTHON.
22. PYTHON PROGRAM EXAMPLES.
23. OPERATOR PRECEDENCE IN PYTHON.
24. RECURSION IN PYTHON.
25. PROGRAMMING EXAMPLES IN PYTHON.
26. OBJECT ORIENTED PROGRAMMING IN PYTHON: class, objects, inheritance, polymorphism, terminologies, class attributes, object attributes, examples.
27. TIME MODULE IN PYTHON.
28. BOOLEAN IN PYTHON.
29. MISCELLANEOUS TOPICS.

PYTHON PROGRAMMING (advanced)

 

Section 1: Immutable Data Structures

1. Functional Programming Course Overview
2. What Is Functional Programming?
3. Mutable Data Structures: Lists and Dictionaries
4. Immutable Data Structures: namedtuple
5. Danger Zone: Mixing Mutable and Immutable Data Structures
6. Immutable Data Structures: Tuples

 

Section 2: The filter() Function

5 Lessons 13m

1. The filter() Function: Overview
2. What is the filter() Function?
3. Storing Filtered Data in a Tuple
4. Why Use the filter() Function?
5. Filtering List Comprehensions

 

Section 3: The map() Function

5 Lessons 11m

1. The map() Function: Overview
2. What is the map() Function?
3. How to Use the map() Function
4. The map() Function vs Generator Expressions
5. Why Use the map() Function?

 

 

Section 4: The reduce() Function

4 Lessons 16m

1. The reduce() Function: Overview
2. What Is the reduce() Function?
3. Why Use the reduce() Function?
4. Grouping Data With itertools.groupby()

 

Section 5: Parallel Processing With multiprocessing

7 Lessons 16m

1. Parallel Processing With multiprocessing: Overview
2. Multiprocessing Testbed Overview
3. The multiprocessing Module
4. Measuring Execution Time in the multiprocessing Testbed
5. How to Create a multiprocessing.Pool() Object
6. How to Use multiprocessing.Pool()
7. Parallel Processing With multiprocessing: Conclusion

 

 

Section 6: Parallel Processing With concurrent.futures

5 Lessons 9m

1. Parallel Processing With concurrent.futures: Overview
2. The concurrent.futures Module
3. How Functional Programing Makes Parallel Processing Simple
4. concurrent.futures vs multiprocessing
5. When to Use concurrent.futures or multiprocessing

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