Python Foundations (GK821587)

DAY 1: GETTING STARTED WITH PYTHON PROGRAMMING

1- Python Variables and Data types

• • Python intro with a quick overview on the syntax, IDEs
• • Recall how to declare/initialize variables of different data types in Python - Numeric, String, Bool, Sequence
• • Naming Conventions & Rules
• • Functions and purpose of main()
• • Arguments
• • Command line parameters
• • White spacing basic rules
• • Types as Objects
• • Type conversion
• • Mutable vs Immutable Objects

2- Working with Strings in Python

• • String Literal - Escape Sequences
• • Formatting String Output
• • Printing and formatting strings
• • Scripting with input()
• • About raw_input()

3- Working with Dates and times

• • Working with dates and times
• • Translating timestamps
• • Parsing dates from text
• • Formatting dates
• • Calendar data

4- Working with Conditional Statements and Loops

• • If else statements
• • If elif
• • Nested if statement
• • While usage
• • Count and Event controlled loop
• • Continue and Break
• • For iteration examples

5- Objects

• • Overview of objects
• • Creating objects and defining objects
• • Working with objects

6- Basic error handling

• • Different errors
• • Handling errors
• • Best practices

DAY 2: COMPLEX DATA TYPES IN PYTHON

1- Lists & Tuples

• • Lists
• • Mixed Lists
• • Common List Methods
• • Other List Operations – CRUD operations
• • Working with Tuples
• • Immutable Tuples
• • Indexing and Slicing
• • Shallow and deep copies of List and tuples
• • Lists vs Tuples

2- Dictionaries and Sets

• • An overview and construction of dictionaries
• • Keys and Values
• • Dictionary Methods
• • About sets
• • Creating sets
• • Working with sets
• • Dictionaries vs Lists vs Tuples vs Sets

3- Understanding Iterators

• • The range() function
• • Taking the range() of len()
• • Iterative Objects
• • The iter() Function
• • Iterating through a sequence
• • Nested sequences
• • Sequence functions, keywords, and operators
• • Looping across data sets
• • Iterating through lists
• • Looping across lists of lists
• • Looping with dictionaries
• • Looping across lists of dictionaries

4- Sorting

• • The sorted() function
• • Alternate keys
• • Sorting collections
• • Using operator.itemgetter()
• • Reverse sorting

5- Basic File operations in Python

• • Opening files
• • Read data from files
• • Write data to files
• • Reading and writing raw (binary) data

DAY 3: PYTHON MODULAR PROGRAMMING

1- Python Functions

• • Defining functions
• • Parameters
• • Returning values
• • Nested Functions
• • Variable Masking
• • Preventing Variable Modifications
• • Argument Matching Methods
• • Basic List Comprehensions
• • Variable scope - local, global, nested

2- Modules & Packages

• • Module Basics
• • Packages
• • Pip and pip3
• • Virtual environments
• • Defined modules
• • Import modules
• • From import statements
• • Some useful modules to know
• • Functions and module aliases

3- The standard library

• • The sys module
• • Launching external programs
• • Math functions
• • Random numbers
• • Reading CSV data

4- Classes in Python

• • About OOP
• • Defining a class
• • Constructor
• • Classes instantiation
• • Class variables and methods
• • Instance variables
• • Properties – getters and setters
• • Subclasses (Inheritance)
• • Multiple Inheritance
• • Static methods

 

LABS OUTLINE

This course includes lab-based activities to write and run Python programming scripts.