Python programming

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Python Programming
Course Duration: 48 Hours

Course Content

• The way of the program
  • What is a program?
  • Running Python
  • The first program
  • Arithmetic operators
  • Values and types
  • Formal and natural languages
  • Debugging
  • Glossary
  • Exercises

  
  
• Variables, expressions and statements
  • Assignment statements
  • Variable names
  • Expressions and statements
  • Script mode
  • Order of operations
  • String operations
  • Comments
  • Debugging
  • Glossary
  • Exercises

  
  
• Functions
  • Function calls
  • 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?
  • Debugging
  • Glossary
  • Exercises

  
  
• Case study: interface design
  • The turtle module
  • Simple repetition
  • Exercises
  • Encapsulation
  • Generalization
  • Interface design
  • Refactoring
  • A development plan
  • docstring

  
  
• Conditionals and recursion
  • Floor division and modulus
  • Boolean expressions
  • Logical operators
  • Conditional execution
  • Alternative execution
  • Chained conditionals
  • Nested conditionals
  • Recursion
  • Stack diagrams for recursive functions
  • Infinite recursion
  • Keyboard input

  
  
• Fruitful functions
  • Return values
  • Incremental development
  • Composition
  • Boolean functions
  • More recursion
  • Leap of faith
  • One more example
  • Checking types

  
  
• Iteration
  • Reassignment
  • Updating variables
  • The while statement
  • break
  • Square roots
  • Algorithms
  • Debugging

  
  
• Strings
  • 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

  
  
• Case study: word play
  • Reading word lists
  • Exercises
  • Search
  • Looping with indices
  • Debugging

  
  
• Lists
  • 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
  • List arguments
  • Debugging

  
  
• Dictionaries
  • A dictionary is a mapping
  • Dictionary as a collection of counters
  • Looping and dictionaries
  • Reverse lookup
  • Dictionaries and lists
  • Memos
  • Global variables
  • Debugging

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

  
  
• Case study: data structure selection
  • Word frequency analysis
  • Random numbers
  • Word histogram
  • Most common words
  • Optional parameters
  • Dictionary subtraction
  • Random words
  • Markov analysis
  • Data structures
  • Debugging

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

  
  
• Classes and objects
  • Programmer-defined types
  • Attributes
  • Rectangles
  • Instances as return values
  • Objects are mutable
  • Copying
  • Debugging

  
  
• Classes and functions
  • Time
  • Pure functions
  • Modifiers
  • Prototyping versus planning
  • Debugging

  
  
• Classes and methods
  • Object-oriented features
  • Printing objects
  • Another example
  • A more complicated example
  • The init method
  • The __str__ method
  • Operator overloading
  • Type-based dispatch
  • Polymorphism
  • Debugging
  • Interface and implementation
  • Glossary
  • Exercises

  
  
• Inheritance
  • Card objects
  • Class attributes
  • Comparing cards
  • Decks
  • Printing the deck
  • Add, remove, shuffle and sort
  • Inheritance
  • Class diagrams
  • Debugging
  • Data encapsulation

  
  
• The Advance Patterns
  • Conditional expressions
  • List comprehensions
  • Generator expressions
  • any and all
  • Sets
  • Counters
  • defaultdict
  • Named tuples
  • Gathering keyword args

  
  
• Debugging
  • Syntax errors
  • Runtime errors
  • Semantic errors

  
  
• Analysis of Algorithms
  • Order of growth
  • Analysis of basic Python operations
  • Analysis of search algorithms
  • Hashtables