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Introduction to programming with Python
  • Introduction to programming with Python 3
  • Preface
    • Common misconceptions about learning to program
    • The Hard truth about learning to program
    • Personal qualities for success
  • 1 - The way of the program
    • Python Programming Language
    • The first program
    • What is debugging?
    • Glossary
    • Exercises
  • 2 - Variables, expressions and statements
    • Values, types and variables
    • Common Built-in data types
    • Expressions
    • Code Format
    • Debugging
    • Glossary
    • Exercises
  • 3 - Functions
    • Python "built-in" Functions
    • Math Functions
    • Composition
    • User Defined Functions
    • PEP 8 Recommendations
    • Debugging
    • Glossary
    • Exercises
  • 4 - Conditionals
    • Boolean expressions
    • Conditional statements
    • PEP 8 Recommendations
  • 5 - Iteration
    • The while statement
    • The for statement
    • break and continue statements
    • Nested Loops
    • PEP 8 Recommendations
    • Debugging
    • Glossary
    • Exercises
  • 6 - A short introduction to testing: Building Reliable Software
  • 7 - A deeper dive into Strings, Lists and Tuples
    • More on Strings
    • More on Lists
    • More on Tuples
    • Debugging
    • Glossary
    • Exercises
  • 8 - A deeper look at Functions in Python
    • Function Preconditions and Postconditions
    • Positional and Keywords arguments
    • Nested Functions
    • Scope of a variable
    • Recursion
    • Functions' side effects
    • Glossary
    • Exercises
  • 9 - Code Documentation
    • Basics of Commenting Code
    • Documenting Code via Python Docstring
  • 10 - Sets and dictionaries
    • Sets
    • Dictionaries
    • Which data structure should I use?
    • Debugging
    • Glossary
    • Exercises
  • 11 - File I/O
    • Read/Write to a file
    • File management
    • Debugging
    • Glossary
    • Exercises
  • 12 - Handling Errors and Exceptions
  • 13 - Writing modules
  • 14 - Classes
    • Classes and Objects
    • Classes and Functions
    • Classes and Methods
    • Pythonic Magic: Understanding and Implementing Dunder Methods
    • Glossary
    • Exercises
  • 15 - Python's Type Hinting
  • Acknowledgements
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  1. 10 - Sets and dictionaries

Glossary

dictionary: A mapping from a set of keys to their corresponding values.

key-value pair: The representation of the mapping from a key to a value.

item: Another name for a key-value pair.

key: An object that appears in a dictionary as the first part of a key-value pair.

value: An object that appears in a dictionary as the second part of a key-value pair. This is more specific than our previous use of the word "value".

implementation: A way of performing a computation.

hashtable: The algorithm used to implement Python dictionaries.

hash function: A function used by a hashtable to compute the location for a key.

hashable: A type that has a hash function. Immutable types like integers, floats and strings are hashable; mutable types like lists and dictionaries are not.

lookup: A dictionary operation that takes a key and finds the corresponding value.

reverse lookup: A dictionary operation that takes a value and finds one or more keys that map to it.

singleton: A set (or other sequence) with a single element.

histogram: A histogram is an accurate representation of the distribution of numerical data. In simpler terms, it could be seen as a set of counters in a program.

global variable: A variable defined outside a function. Global variables can be accessed from any function.

flag: A boolean variable used to indicate whether a condition is true.

declaration: A statement like global that tells the interpreter something about a variable.

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Last updated 1 year ago