Python Programming

• 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 AssertionError 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
• DataFrame Data Structure
• DataFrame 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)