PART 7 - Python Tutorial | Dictionaries In Python With Examples

Python functions allow for reusable code through defining functions, passing arguments, returning values, and setting scopes. Functions can take positional or keyword arguments, as well as variable length arguments. Default arguments allow functions to specify default values for optional parameters. Functions are objects that can be assigned to variables and referenced later.

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Functions allow programmers to organize code into reusable blocks. There are built-in functions and user-defined functions. Functions make code easier to develop, test and reuse. Variables inside functions can be local, global or nonlocal. Parameters pass data into functions, while functions can return values. Libraries contain pre-defined functions for tasks like mathematics and string manipulation.

This document discusses loops in Python. It introduces loops as a way to repeat instructions multiple times until a condition is met. The two main types of loops in Python are for loops, which iterate over a sequence, and while loops, which execute statements as long as a condition is true. It provides examples of for and while loops and covers else statements, loop control statements like break and continue, and some key points about loops in Python.

This document discusses tuples in Python. It begins with definitions of tuples, noting that they are ordered, indexed and immutable sequences. It then provides examples of creating tuples using parentheses or not, and explains that a single element tuple requires a trailing comma. The document discusses tuple operations like slicing, comparison, assignment and using tuples as function return values or dictionary keys. It also covers built-in tuple methods and functions.

This document provides an introduction and overview of the Python programming language. It covers Python's history and key features such as being object-oriented, dynamically typed, batteries included, and focusing on readability. It also discusses Python's syntax, types, operators, control flow, functions, classes, imports, error handling, documentation tools, and popular frameworks/IDEs. The document is intended to give readers a high-level understanding of Python.

C++ is an object-oriented programming language that is an extension of C. It was developed in the 1980s to support object-oriented programming. In C++, data and functions can be combined into objects. Data in an object can only be accessed by the object's functions, allowing for encapsulation. The document then provides an overview of key C++ concepts like data types, tokens, operators, and input/output streams to introduce basic C++ syntax and programming.

Modules allow grouping of related functions and code into reusable files. Packages are groups of modules that provide related functionality. There are several ways to import modules and their contents using import and from statements. The document provides examples of creating modules and packages in Python and importing from them.

This slide contains all the information regarding the flow control in python(conditional branching and looping)

** Python Certification Training: https://www.edureka.co/python ** This Edureka PPT on Python Functions tutorial covers all the important aspects of functions in Python right from the introduction to what functions are, all the way till checking out the major functions and using the code-first approach to understand them better. Agenda Why use Functions? What are the Functions? Types of Python Functions Built-in Functions in Python User-defined Functions in Python Python Lambda Function Conclusion Python Tutorial Playlist: https://goo.gl/WsBpKe Blog Series: http://bit.ly/2sqmP4s Follow us to never miss an update in the future. Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka

This document discusses tuples in Python. Some key points: - Tuples are ordered sequences of elements that can contain different data types. They are defined using parentheses. - Elements can be accessed using indexes like lists and strings. Tuples are immutable - elements cannot be changed. - Common tuple methods include count, index, sorting, finding min, max and sum. - Nested tuples can store related data like student records with roll number, name and marks. - Examples demonstrate swapping numbers without a temporary variable, returning multiple values from a function, and finding max/min from a user-input tuple.

This document discusses linear data structures like stacks and queues. It defines them as ordered data collections where items are added and removed from specific ends. Stacks follow LIFO while queues follow FIFO. The key operations for stacks are push and pop, while queues use enqueue and dequeue. Python implementations are shown using lists. Functions are created to add, remove, and display items for both stacks and queues.

Virtual functions allow objects of derived classes to be referenced by pointers or references to the base class. This allows polymorphic behavior where calling code does not need to know the exact derived class, but the correct overridden function for that derived class will be called at runtime. Some key points: - Virtual functions provide runtime polymorphism in C++. The correct function to call is determined by the actual object type, not the reference/pointer type. - Pure virtual functions are declared in a base class but provide no definition - derived classes must override these to be instantiable. - Constructors cannot be virtual but destructors can, and it is important to make base class destructors virtual to ensure proper cleanup

This Edureka Python Programming tutorial will help you learn python and understand the various basics of Python programming with examples in detail. Below are the topics covered in this tutorial: 1. Python Installation 2. Python Variables 3. Data types in Python 4. Operators in Python 5. Conditional Statements 6. Loops in Python 7. Functions in Python 8. Classes and Objects

This presentation covers tho following topics of Python: Python Overview Python Data Types Python Control Structures Python Input\output Python Functions Python File Handling Python Exception Handling Python Modules Python Classes Python vs. Java Examples Python Useful Tools Who uses Python?

The document provides an introduction to Python programming including its features, uses, history, and installation process. Some key points covered include: - Python is an interpreted, object-oriented programming language that is used for web development, scientific computing, and desktop applications. - It was created by Guido van Rossum in 1991 and named after the Monty Python comedy group. - To install Python on Windows, users download the latest version from python.org and run the installer, which also installs the IDLE development environment. - The document then covers basic Python concepts like variables, data types, operators, and input/output functions.

This document discusses values, data types, and the five standard data types in Python. It defines that values are the fundamental things like numbers and strings that programs manipulate. Data type refers to the type and size of data that variables can hold. The five main data types in Python are numbers, strings, lists, tuples, and dictionaries. Numbers include integers, floating point values, and complex numbers. Lists and tuples are ordered sequences that can hold heterogeneous data, but lists are mutable while tuples are immutable. Strings are ordered sequences of characters. Dictionaries are unordered collections of key-value pairs.

Dictionaries in Python are collections of key-value pairs that are unordered and can use different data types for keys. Keys provide access to their associated values and keys must be unique within a dictionary. Dictionaries allow modeling real-world things like chessboards or tic-tac-toe boards using nested dictionaries and lists.

This lecture covers the very basics of the syntax of the Swift programming language. The course is an intensive and very compressed deep dive into iOS development in Swift. Visit the course web page to get copies of the course outline, lecture notes, sample code, etc. Course website: http://www.themobilemontage.com/2015/05/12/ios-bootcamp-learning-to-create-awesome-apps-on-ios-using-swift/ YouTube Link to lecture: https://youtu.be/fwstpDs2biQ

The document discusses dictionaries in Python. It explains that a dictionary consists of keys and values, with keys usually represented as strings. It provides examples of creating dictionaries and accessing values using keys. It also discusses using loops to iterate through dictionaries and lists of dictionaries. Exercises are provided to create dictionaries with random values, retrieve values using keys, add/delete key-value pairs, and print keys and values.

The document discusses dictionaries in Python. It explains that dictionaries consist of keys and values, with keys typically represented as strings. It provides examples of creating dictionaries and performing common dictionary operations like printing values, deleting keys/values, printing keys, and adding new key-value pairs. The document also discusses using dictionaries with loops and lists, including an example of a list containing multiple dictionaries.

This document discusses Swift API design guidelines published by Apple. It covers fundamentals like ensuring clarity of APIs at the point of use and prioritizing clarity over brevity. It also discusses guidelines for naming conventions, including naming variables and parameters according to their roles. The document provides guidance on naming functions and methods, default parameter values, argument labels, and polymorphism.

Dictionaries in Python are used to store data as key-value pairs. Keys must be unique and immutable, like strings or numbers. Values can be any data type. Dictionaries are created using curly brackets {} and keys are separated from values with a colon. Values can be accessed using their key and dictionaries can be iterated over using a for loop. Dictionaries are mutable and allow adding, updating, and deleting key-value pairs.

Python is an open source programming language created by Guido van Rossum in 1991. It is named after the comedy group Monty Python and is based on the ABC language. Python supports both procedural and object-oriented programming and can be used for web development, data analysis, artificial intelligence, and more. It has a simple syntax and large standard library that make it easy to learn and use for various applications.