• Environment setup
•  The python programming language
• What is program?
•  What is debugging?

• Values and types
• Variables
•  Variable names and keywords
•  Operators and operands
•  Expressions and statements
•  Interactive mode and script mode
•  Order of operations
•  String operations
•  Comments
•  Debugging

• Function calls
• Type conversion functions
•  Math functions
•  Composition
•  Adding new functions
• Definitions and uses
•  Flow of execution
•  Parameters and arguments
•  Variables and parameters are local
•  Stack diagrams
•  Fruitful functions and void functions
•  Why functions?
•  Importing with from
•  Debugging

• Modulus operator
•  Boolean expressions
• Logical operators
• Conditional execution
•  Alternative execution
• Chained conditionals  Nested conditionals
•  Recursion
•  Stack diagrams for recursive functions
• Infinite recursion
•  Keyboard input
•  Debugging

• Return values
•  Incremental development
•  Composition
• Boolean functions
• More recursion
•  Leap of faith
•  Checking types
•  Debugging

• Multiple assignments
• Updating variables
• The while statement
•  Break
•  Debugging
• For loop

• A string is a sequence
•  Len
•  Traversal with a for loop
• String slices
• Strings are immutable
•  Searching
• Looping and counting
•  String methods
•  The in operator
•  String comparison
•  Debugging

• A list is a sequence
• Lists are mutable
•  Traversing a list
•  List operations
• List slices
•  List methods
•  Map, filter and reduce
• Deleting elements
•  Lists and strings
•  Objects and values
•  Aliasing
•  List arguments
•  Debugging

• Dictionary as a set of counters
•  Looping and dictionaries
•  Reverse lookup
• Dictionaries and lists
•  Memos
•  Global variables
•  Long integers
•  Debugging

• Tuples are immutable
• Tuple assignment
• Tuples as return values
•  Variable-length argument tuples
• Lists and tuples
•  Dictionaries and tuples
•  Comparing tuples
•  Sequences of sequences
•  Debugging

• Usage
•  Union, Difference
•  Available methods

• Introduction
•  Exceptions versus Syntax Errors
• Raising an Exception
• The Assertion Error Exception
• The try and except Block: Handling Exceptions
•  The else Clause

• Persistence
•  Reading and writing
•  Format operator
•  Filenames and paths
•  Catching exceptions
•  Databases
•  Writing modules
•  Debugging

• Introduction, Application and Usage
•  reader and writer
•  DictReader and DictWriter
•  Simple CSV processing using functional programming

• Introduction to Pandas
• Data Frame Data Structure
• Data Frame Indexing and Loading
•  Querying a DataFrame
•  Indexing Dataframes
•  Manipulating DataFrame

• Installations
• Introduction, Application and Usage
•  Basic Structured Query Language
•  CRUID operations

• Principles of Information Visualization
• Visualizing Data Using Spreadsheets
•  Matplotlib
• Plotly
•  Scatterplots
•  Line Plots
•  Bar Charts
• Histograms
• Plotting with Pandas

• User-defined types
• Attributes
•  Real World Example
•  Instances as return values
•  Objects are mutable
•  Copying
• Debugging

• Object-oriented features
•  The self
•  Printing objects
•  The init method
•  The __str__ method
•  Other special methods
•  Operator overloading
•  Type-based dispatch
•  Polymorphism
•  @staticmethod
•  Debugging

• Introduction
•  Example
•  Class attributes
•  Private, Protected and Public
•  Multiple Inheritance
• Class diagrams
•  Debugging
•  Data encapsulation

• Installing Git
• status, log, commit push, pull commands
• Branch, Tags and Multiple remote concept and Implementation
• checkout, reset, rebase, merge concept
•  Gitlab vs Github vs Bitbucket

• Trello, Slack, Jira

• Advanced Strings, Date & Time
•  Python os, re, sys
• GUI basics: Tkinter, Tcl/Tk
•  Comprehensions: List, Dictionary
•  CSV, Json, XML, SQLite with Python
• Data Science/Visualization: pandas, matplotlib
• Jupyter NoteBook
•  Data Streaming using Big Data Technologies like Kafka.

As per the recommendation of students, one of the following projects will be done by the instructor themselves!

• Web Scraping project (includes handling web scraping tools, proper file handling and implementation of sql)
• GUI project (any desktop application e.g: calculator, data entry application