This is an inverted class, given in conjunction with similar classes at Saint Xavier College (autonomous) in Ahmedabad, Gujarat, India, and Xavier Institute of Engineering in Mumbai, Maharashtra, India.

Syllabus

For the complete syllabus, click here.

Office Hours

or by appointment.

Contents

Day 1: Importance of Python, Getting Python

Core

We learn how to install and interact with Python. We start our forray into Python syntax with understanding simple arithmetic expressions involving numbers and strings. In the additional Extension section, we look at the representation of numbers to understand the role of arbitrary length integers in Python and numerical errors for floating point numbers in Python.

• Foundations and Installing Python [installing.pdf] [installing.mp4]
• Starting Python [starting.pdf] [starting.mp4] [starting.py]
• Expressions [installing.pdf] [installing.mp4]

Extension

• Number Representation [representationNumbers.pdf] [representationNumbers.mp4]
• Python for kids: The Turtle Module [forkids.pdf] [forkids.mp4]
  Sample Python files: [heptagram.py] [pentagram.py] [drawing.py]

Exercises

• Solved exercises [exercises.pdf] [exercises.mp4]
• Graded exercises [exercisesgraded.pdf]

Day 2: Types, Statements, Variables

Today we learn our first 'useful' program, a converter program.

Core

• Types in Python: [type.pdf] [type.mp4]
• The print statement: [print.pdf] [print.mp4]
• The input statement: [input.pdf] [input.mp4]
• Variables: [variables.pdf] [variables.mp4]
• Statements: [statements.pdf] [statements.mp4]

Exercises

• Solved Exercises: [Exercises] : [Solutions ]

Week 1 Resumen and Laboratory

First try out your prowess by solving the problems [click here for lab.pdf]. You can follow the presentations or you can access directly the solutions to compare.

Presentations

• Straightline programming: Quadratic equations [quadratic.pdf] [quadratic.mp4] [quadratic2.py]
• Conversion program [conversion.py]
• Straightline programming: Heron's Method aka Babylonian Method [heron.pdf] [heron.mp4] [heron_one.py]
• Raphson-Newton example [newton-raphson.py]

Day 3: Control flow: Alternative Statement

Core

Conditional Statements: [conditional.pdf] [conditional.mp4]

If statements: [If Statements.pdf] [If Statements.mp4] [if1.py]

Comparisons: __[comparisons.pdf]__ __[comparisons.mp4]__

If Else: [ifelse.pdf] [ifelse.mp4]

Choices: [choices.pdf] [choices.mp4] [menu.py]

Repetition: [If Statements.pdf] [If Statements.mp4]

Extension: Algorithms

• Algorithms [Algorithms.pdf]    [Algorithms.mp4]

Day 4: For Loops

• The Idea of Repetition
  • repetition.pdf   repetition.mp4
• For Loops
  • [forloop.pdf]
  • [forloop.mp4]
  • [rupees2euros.py]
  • [sum1.py]
• Nested For Loops [nesting.pdf]   [nesting.mp4]   [diophantine.py]   [cryptarithmetic.py]
• Exercises with ASCII Art [asteriscs.pdf]   [asteriscs.mp4]   [chessboard.py]   [tree.py]

Week 2 Laboratory

Solved Exercises

 

• Conditional expressions:   Exercises   Solutions  
• For Loops:   Exercises   Solutions  

Day 5: While Loops

• While loops: [while1.pdf]   [while1.mp4]   [pirates1.py]   [pirates2.py]   [pirates3.py]   [pirates4.py]   [sinecalc.py]
• The break statement: [while2.pdf]   [while2.mp4]  
• The continue statement and finding amicable numbers [while3.pdf]   [while3.mp4]   [amicable.py]  

Day 6: Functions

• Functions [functions.pdf]  
• Functions of Functions [functionsOffFunctions.pdf]  
• Functions in action: Lotka-Volterra Population Model [LotkaVolterra.pdf]  

Week 3 Laboratory

Solved Exercises

 

• While Loops:   Exercises   Solutions  
• For Loops:   Exercises   Solutions  

Day 7: More on Functions

• Named parameters:     [named.pdf]   [named.mp4]   [amicable.py]  
• Default parameters [named.pdf]   [default.mp4]  
• Modules [named.pdf]   [default.mp4]   [dies.py]  
• Scopes [scopes.pdf]   [scopes.mp4]   [scope_examples.py]  
• Anonymous Functions [anonymous.pdf]   [anonymous.mp4]   [anonymous.py]  

Day 8: Lists

• Defining lists:     [lists1.pdf]    
• Manipulating lists:     [lists2.pdf]    
• Ranges (Repetition):     [lists3.pdf]    
• Example: Sieve of Eratosthenes:     [lists4.pdf]    
• Solved Exercises:     [SE1.pdf]    
• Solutions to Solved Exercises:     [SES1.pdf]    

Week 4 Exercises

• Solved exercises [exercises.pdf]   [solutions.pdf]  

Day 9: Strings

• Defining and operating on strings:     [strings1.pdf]     [strings1.mp4]    
• String methods:     [strings2.pdf]     [strings2.mp4]    
• String processing:     [strings3.pdf]    
• Python code:
  • [timing.py]
  • [processing.py]

Day 10: Interacting with Files

• Files in Python:     [files1.pdf]     [files1.mp4]    
• File Processing:     [files2.pdf]    [files2.mp4]   
• Encodings:     [files3.pdf]    [files3.mp4]   
• Encodings:     [files5.pdf]    [files5.mp4]   
• Python code:
  • [rainfall.py]
  • [gurainfall.py]

Week 5 Laboratory

• List and String manipulation:   [stringsexercises.pdf]       Solutions: [strings.py]      
• The Hangman Game:    [lab.pdf]       [lawler.txt]       [vocabulary.txt]      
• The Hangman Game Solution:    [hangman.py]      
• Denver Crime Statistics:  
  • [Denver/presentation.pdf]   
  • [Denver/crime.csv]   
  • [Denver/offense_codes.csv]   
  • [Denver/autotheft.py]    
  • [Denver/code.py]    
  • [Denver/results.pdf]    

Day 11: String Formatting

• f-strings:     [formatting1]     [formatting.mp4]    
• Formatting with format:     [formatting2.pdf]     [formatting2.mp4]    

Day 12: Important Modules

• Modules:     [modules1.pdf]     [modules1.mp4]    
• Random module:     [modules2.pdf]     [modules2.mp4]    
• Monte Carlo Simulation:     [modules3.pdf]     [modules3.mp4]    
• os module:     [modules4.pdf]     [modules4.mp4]    
• Programs:     [montecarlo.py]     [rand.py]    

Week 6 Laboratory

• Amortization Calendar
• Gambling simulation (or why you should not gamble)
• lab.pdf    
• lab5.mp4 recording    
• mortgage_calculator.py    
• gambling.py    

Day 13: Dictionaries

• Dictionary definition:   [dict1.pdf]      
• Dictionary manipulation:   [dict2.pdf]      
• Gathering file statistics:   [dict3.pdf]       [alice.py]      
• Dictionary class recording:   [dict.mp4] Recording      

Day 14: Tuples, sets, and frozen sets

• Sets and Frozen Sets:   [tuples1.pdf]       [tuples1.mp4]      
• Tuples, tuple assignment, tuple extraction, functions with multiple return values
[tuples2.pdf]      

Day 15: Comprehension

• Repetition: Strings: :   [comprehension1.pdf]       [comprehension1.mp4]      
• Repetition: Loops:   [comprehension2.pdf]       [comprehension2.mp4]      
• Elements of Functional Programming:   [comprehension3.pdf]       [comprehension3.mp4]      
• Comprehension:   [comprehension4.pdf]       [comprehension4.mp4]       [comprehension4.mp4]      

Week 7 Laboratory: Breaking Classical Encryptions

• Presentation Video (mp4) [click here]
• Presentation (pdf) [click here]
• Presentation (key) [click here]
• Presentation (pptx) [click here]
• caesar.py [click here]
• ex1.py [click here]

Day 16: Recursion

• Recursive functions and memoization   [recursion.pdf]       [recursion.mp4]      

Week 8 Laboratory

Day 17: Exceptions

• Exceptions:   [exceptions.pdf]       [exceptions.mp4]      

Day 18: Classes

• Object Oriented Programming Paradigm:   [classes1a.pdf]       [classes1a.mp4]      
• Defining classes:   [classes1.pdf]       [classes1a.pdf]      

Week 9 Laboratory

• The rational class
• The address class
• The name class

Day 19: Classes 2

• Dunder Methods:  [dunder.pdf]       [dunder.pdf]      
• Operator Overloading and the Rational class:   [overloading.pdf]       [overloading.mp4]      

Day 20: Application: Decision trees in Machine Learning

• Python iterators and generators
• The final clause
• Building a decision tree on the Iris data set

Week 10 Laboratory

• Penguins

Day 21: Databases / Networking with Python

• Installing MySQL
• SQL basics
• Using SQL from Python
• Networking with Sockets
• Python Sockets

Day 22: Webscraping with Python

Week 11 Laboratory

Day 23: GUI with Python's Tkinter

• Introduction to GUI: Presentation video
• Canvas: Presentation video
• Buttons: Presentation video
• Bindings: [bindings.pdf] [bindings.mp4]

Day 24: GUI with Python's Tkinter 2

• Input and Output: [inputOutput] video
• Animation: [animation] video

Week 12 Laboratory

• Lunar Lander
• Challenge Project: Robots

Day 25: Numpy

Day 26: Numpy 2

Day 27: Scipy

Day 28: Matplotlib

Day 29: Pandas

Day 30: Scipy Statistics

Finis