Python Programming - XII. File ProcessingRanel Padon
The document discusses file handling and processing in Python. It covers opening and closing files, different file open modes like read, write and append, parsing files, buffering, and random access files. Common file operations like reading, writing, splitting and stripping file contents are demonstrated. The document also provides examples of parsing HTML and CSV files, using files with classes, and serializing objects for efficient storage and transfer.
This document outlines an introduction to object oriented programming in Python. It discusses Python's support for multiple programming paradigms including procedural, object-oriented, and functional. Python allows programmers to choose the paradigm best suited to the problem. The document then covers Python classes, stating that a class is a Python object that returns a new instance when called. Classes contain attributes that can be descriptors like functions or normal data. Inheritance allows classes to delegate attribute lookup to parent classes.
Python modules allow for code reusability and organization. There are three main components of a Python program: libraries/packages, modules, and functions/sub-modules. Modules can be imported using import, from, or from * statements. Namespaces and name resolution determine how names are looked up and associated with objects. Packages are collections of related modules and use an __init__.py file to be recognized as packages by Python.
From JVM to .NET languages, from minor coding idioms to system-level architectures, functional programming is enjoying a long overdue surge in interest. Functional programming is certainly not a new idea and, although not apparently as mainstream as object-oriented and procedural programming, many of its concepts are also more familiar than many programmers believe. This talk examines functional and declarative programming styles from the point of view of coding patterns, little languages and programming techniques already familiar to many programmers.
This document provides an introduction to Python fundamentals. It discusses Python's character set, tokens or lexical units including keywords, identifiers, literals, operators, and punctuators. It also covers Python programming concepts such as variables and assignments, functions, comments, statements, and programming conventions regarding whitespace, maximum line length, and case sensitivity. The document aims to explain the basic building blocks of the Python language to learn Python programming.
Python Advanced – Building on the foundationKevlin Henney
This is a two-day course in Python programming aimed at professional programmers. The course material provided here is intended to be used by teachers of the language, but individual learners might find some of this useful as well.
The course assume the students already know Python, to the level taught in the Python Foundation course: http://www.slideshare.net/Kevlin/python-foundation-a-programmers-introduction-to-python-concepts-style)
The course is released under Creative Commons Attribution 4.0. Its primary location (along with the original PowerPoint) is at https://github.com/JonJagger/two-day-courses/tree/master/pa
Here is a Python class with the specifications provided in the question:
class PICTURE:
def __init__(self, pno, category, location):
self.pno = pno
self.category = category
self.location = location
def FixLocation(self, new_location):
self.location = new_location
This defines a PICTURE class with three instance attributes - pno, category and location as specified in the question. It also defines a FixLocation method to assign a new location as required.
Constructors and destructors in Python.
Constructors are special methods that are called automatically when an object is created. They initialize variables and ensure objects are properly initialized. There are two types of constructors: default and parameterized. Default don't take arguments, parameterized do.
Destructors are called when an object is destroyed. Defined using __del__(), they are useful for releasing resources like closing files before a program exits.
The document then provides code examples of classes with constructors, parameterized constructors, and destructors. It also discusses Python's garbage collection and how the collector deletes unneeded objects to free memory space.
Python Programming - VI. Classes and ObjectsRanel Padon
This document discusses classes and objects in Python programming. It covers key concepts like class attributes, instantiating classes to create objects, using constructors and destructors, composition where objects have other objects as attributes, and referencing objects. The document uses examples like a Time class to demonstrate class syntax and how to define attributes and behaviors for classes.
This document discusses file handling in C++. It introduces three classes - ofstream, ifstream, and fstream - that allow performing output and input of characters to and from files. The ofstream class is used to write to files, ifstream is used to read from files, and fstream can both read and write. The open() method is used to open a file, specifying the file name and optional file mode. Writing to a file uses the << operator and reading uses the >> operator. Operator overloading allows user-defined types like classes to define the meaning of operators like + when used on their objects.
Presented at DevSum (2018-05-31)
The SOLID principles are often presented as being core to good code design practice. Each of S, O, L, I and D do not, however, necessarily mean what programmers expect they mean or are taught. By understanding this range of beliefs we can learn more about practices for objects, components and interfaces than just S, O, L, I and D.
This talk reviews the SOLID principles and reveals contradictions and different interpretations. It is through paradoxes and surprises we often gain insights. We will leave SOLID somewhat more fluid, but having learnt from them more than expected.
Python Functions Tutorial | Working With Functions In Python | Python Trainin...Edureka!
** 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
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The document discusses functions, modules, and how to modularize Python programs. It provides examples of defining functions, using parameters, returning values, and function scope. It also discusses creating modules, importing modules, and the difference between running a Python file as a module versus running it as the main script using the __name__ == "__main__" check. The key points are that functions help break programs into reusable and readable components, modules further help organize code, and the __name__ check allows code to run differently depending on how it is imported or run directly.
The document provides information about various Python concepts like PEP 8, pickling, lambda functions, generators, modules, packages and more. It also includes questions about memory management in Python, tools for static analysis, decorators, iterators, slicing, and other common Python interview questions.
This document discusses classes, objects, and inheritance in Python. It defines a class as a blueprint for creating objects, with objects being instances of a class. It describes how to define a class in Python using the class keyword and how to create object instances from a class. The document also explains inheritance in Python, where a derived or child class can inherit attributes and methods from a parent or base class, allowing for single, multiple, multilevel, hybrid and hierarchical inheritance.
This document provides an overview of object-oriented programming concepts in C++, including classes, objects, encapsulation, inheritance, polymorphism, and more. Key concepts are defined, such as classes containing data members and methods. Inheritance allows derived classes to inherit properties of base classes. Polymorphism allows calling the correct overridden method at runtime based on the object type. Virtual functions provide late binding so the correct derived class method is called.
This document outlines the course content for a Programming in C++ course, including 12 topics that will be covered: 1) principles of object oriented programming, 2) beginning with C++, 3) tokens, expressions, and control structures, 4) functions in C++, 5) classes and objects, 6) constructors and destructors, 7) operator overloading and type conversions, 8) inheritance, 9) pointers, virtual functions and polymorphism, 10) managing console I/O operations, 11) working with files, and 12) templates and exception handling. Students will write programs based on the curriculum and six reference books are provided.
Object-oriented programming focuses on data. An object is a basic run-time entity. A class is also known as a user-defined data type. Inheritance provides the idea of reusability. Objects can communicate with each other through message passing. Polymorphism is achieved through operator overloading and function overloading.
The document discusses Python interview questions and answers related to Python fundamentals like data types, variables, functions, objects and classes. Some key points include:
- Python is an interpreted, interactive and object-oriented programming language. It uses indentation to identify code blocks rather than brackets.
- Python supports dynamic typing where the type is determined at runtime. It is strongly typed meaning operations inappropriate for a type will fail with an exception.
- Common data types include lists (mutable), tuples (immutable), dictionaries, strings and numbers.
- Functions use def, parameters are passed by reference, and variables can be local or global scope.
- Classes use inheritance, polymorphism and encapsulation to create
The document discusses file handling and regular expressions in Python programming. It covers opening, reading, and writing files in both text and binary modes. It also describes parsing text files using built-in functions and regular expressions. Regular expressions topics covered include characters, character classes, quantifiers, grouping, capturing, assertions, and flags. The document provides examples of using the re module to search and manipulate strings using regular expression patterns.
C++ Object oriented concepts & programmingnirajmandaliya
This document discusses various C++ concepts related to functions and operators. It defines what a default pointer is and how it receives addresses passed to a called function. It also discusses reference variables, inline functions, friend functions, default arguments, passing objects as parameters, function overloading, static members, function pointers, and operator overloading. It provides examples and explanations for each concept.
The document provides an introduction to the Python programming language. It discusses what Python is, its creator Guido van Rossum, and how to write a simple "Hello World" program. It also covers Python data types, operators, flow control using conditionals and loops, functions, input/output operations, and the Zen of Python philosophy guiding Python's design. The document serves as the first day of instruction in a Python course.
The document discusses object-oriented programming concepts in C#, including defining classes, constructors, properties, static members, interfaces, inheritance, and polymorphism. It provides examples of defining a simple Cat class with fields, a constructor, properties, and methods. It also demonstrates using the Dog class by creating dog objects, setting their properties, and calling their bark method.
1. Inheritance is a mechanism where a new class is derived from an existing class, known as the base or parent class. The derived class inherits properties and methods from the parent class.
2. There are 5 types of inheritance: single, multilevel, multiple, hierarchical, and hybrid. Multiple inheritance allows a class to inherit from more than one parent class.
3. Overriding allows a subclass to replace or extend a method defined in the parent class, while still calling the parent method using the super() function or parent class name. This allows the subclass to provide a specific implementation of a method.
Python Session - 2
Install Python
Run Python
Python Keyword
Python Identifiers
Python Variables
Python Literals
Python Comments
By default Python installed on following path in Windows
C:\Users\user\AppData\Local\Programs\Python\Python37
Removing the MAX_PATH Limitation :
Windows historically has limited path lengths to 260 characters. This meant that paths longer than this would not resolve and errors would result.
In the latest versions of Windows, this limitation can be expanded to approximately 32,000 characters. Your administrator will need to activate the “Enable Win32 long paths” group policy, or set the registry value HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\FileSystem@LongPathsEnabled to 1.
This document provides an overview of object-oriented programming concepts using C++. It discusses key OOP concepts like objects, classes, encapsulation, inheritance, polymorphism, and dynamic binding. It also covers C++ specific topics like functions, arrays, strings, modular programming, and classes and objects in C++. The document is intended to introduce the reader to the fundamentals of OOP using C++.
Python Programming - XI. String Manipulation and Regular ExpressionsRanel Padon
The document discusses string manipulation and regular expressions in Python programming. It covers topics like string methods, regular expression concepts including alternatives, grouping, quantification, anchors, meta-characters and character classes. Examples are provided to demonstrate matching patterns in text using regular expressions. The re module is introduced as the core module for using regular expressions in Python.
Python Programming - XIII. GUI ProgrammingRanel Padon
The document discusses Tkinter, the Python GUI programming interface. Tkinter provides a wrapper for the Tk GUI toolkit. Tk was originally created for Tcl but has bindings for other languages like Python through Tkinter. Tkinter allows Python programs to create graphical user interfaces by providing classes and methods that interface with the Tk GUI toolkit. Some key Tkinter widgets discussed include Frame, Label, Button, Entry, Radiobutton and Checkbutton. Pros of Tkinter include brevity, cross-platform support, maturity and extensibility. Potential cons are that it relies on Tcl/Tk which some consider unnecessary and it may have a theoretical speed disadvantage due to the multiple layers of interpretation.
Python Programming - VI. Classes and ObjectsRanel Padon
This document discusses classes and objects in Python programming. It covers key concepts like class attributes, instantiating classes to create objects, using constructors and destructors, composition where objects have other objects as attributes, and referencing objects. The document uses examples like a Time class to demonstrate class syntax and how to define attributes and behaviors for classes.
This document discusses file handling in C++. It introduces three classes - ofstream, ifstream, and fstream - that allow performing output and input of characters to and from files. The ofstream class is used to write to files, ifstream is used to read from files, and fstream can both read and write. The open() method is used to open a file, specifying the file name and optional file mode. Writing to a file uses the << operator and reading uses the >> operator. Operator overloading allows user-defined types like classes to define the meaning of operators like + when used on their objects.
Presented at DevSum (2018-05-31)
The SOLID principles are often presented as being core to good code design practice. Each of S, O, L, I and D do not, however, necessarily mean what programmers expect they mean or are taught. By understanding this range of beliefs we can learn more about practices for objects, components and interfaces than just S, O, L, I and D.
This talk reviews the SOLID principles and reveals contradictions and different interpretations. It is through paradoxes and surprises we often gain insights. We will leave SOLID somewhat more fluid, but having learnt from them more than expected.
Python Functions Tutorial | Working With Functions In Python | Python Trainin...Edureka!
** 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/
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The document discusses functions, modules, and how to modularize Python programs. It provides examples of defining functions, using parameters, returning values, and function scope. It also discusses creating modules, importing modules, and the difference between running a Python file as a module versus running it as the main script using the __name__ == "__main__" check. The key points are that functions help break programs into reusable and readable components, modules further help organize code, and the __name__ check allows code to run differently depending on how it is imported or run directly.
The document provides information about various Python concepts like PEP 8, pickling, lambda functions, generators, modules, packages and more. It also includes questions about memory management in Python, tools for static analysis, decorators, iterators, slicing, and other common Python interview questions.
This document discusses classes, objects, and inheritance in Python. It defines a class as a blueprint for creating objects, with objects being instances of a class. It describes how to define a class in Python using the class keyword and how to create object instances from a class. The document also explains inheritance in Python, where a derived or child class can inherit attributes and methods from a parent or base class, allowing for single, multiple, multilevel, hybrid and hierarchical inheritance.
This document provides an overview of object-oriented programming concepts in C++, including classes, objects, encapsulation, inheritance, polymorphism, and more. Key concepts are defined, such as classes containing data members and methods. Inheritance allows derived classes to inherit properties of base classes. Polymorphism allows calling the correct overridden method at runtime based on the object type. Virtual functions provide late binding so the correct derived class method is called.
This document outlines the course content for a Programming in C++ course, including 12 topics that will be covered: 1) principles of object oriented programming, 2) beginning with C++, 3) tokens, expressions, and control structures, 4) functions in C++, 5) classes and objects, 6) constructors and destructors, 7) operator overloading and type conversions, 8) inheritance, 9) pointers, virtual functions and polymorphism, 10) managing console I/O operations, 11) working with files, and 12) templates and exception handling. Students will write programs based on the curriculum and six reference books are provided.
Object-oriented programming focuses on data. An object is a basic run-time entity. A class is also known as a user-defined data type. Inheritance provides the idea of reusability. Objects can communicate with each other through message passing. Polymorphism is achieved through operator overloading and function overloading.
The document discusses Python interview questions and answers related to Python fundamentals like data types, variables, functions, objects and classes. Some key points include:
- Python is an interpreted, interactive and object-oriented programming language. It uses indentation to identify code blocks rather than brackets.
- Python supports dynamic typing where the type is determined at runtime. It is strongly typed meaning operations inappropriate for a type will fail with an exception.
- Common data types include lists (mutable), tuples (immutable), dictionaries, strings and numbers.
- Functions use def, parameters are passed by reference, and variables can be local or global scope.
- Classes use inheritance, polymorphism and encapsulation to create
The document discusses file handling and regular expressions in Python programming. It covers opening, reading, and writing files in both text and binary modes. It also describes parsing text files using built-in functions and regular expressions. Regular expressions topics covered include characters, character classes, quantifiers, grouping, capturing, assertions, and flags. The document provides examples of using the re module to search and manipulate strings using regular expression patterns.
C++ Object oriented concepts & programmingnirajmandaliya
This document discusses various C++ concepts related to functions and operators. It defines what a default pointer is and how it receives addresses passed to a called function. It also discusses reference variables, inline functions, friend functions, default arguments, passing objects as parameters, function overloading, static members, function pointers, and operator overloading. It provides examples and explanations for each concept.
The document provides an introduction to the Python programming language. It discusses what Python is, its creator Guido van Rossum, and how to write a simple "Hello World" program. It also covers Python data types, operators, flow control using conditionals and loops, functions, input/output operations, and the Zen of Python philosophy guiding Python's design. The document serves as the first day of instruction in a Python course.
The document discusses object-oriented programming concepts in C#, including defining classes, constructors, properties, static members, interfaces, inheritance, and polymorphism. It provides examples of defining a simple Cat class with fields, a constructor, properties, and methods. It also demonstrates using the Dog class by creating dog objects, setting their properties, and calling their bark method.
1. Inheritance is a mechanism where a new class is derived from an existing class, known as the base or parent class. The derived class inherits properties and methods from the parent class.
2. There are 5 types of inheritance: single, multilevel, multiple, hierarchical, and hybrid. Multiple inheritance allows a class to inherit from more than one parent class.
3. Overriding allows a subclass to replace or extend a method defined in the parent class, while still calling the parent method using the super() function or parent class name. This allows the subclass to provide a specific implementation of a method.
Python Session - 2
Install Python
Run Python
Python Keyword
Python Identifiers
Python Variables
Python Literals
Python Comments
By default Python installed on following path in Windows
C:\Users\user\AppData\Local\Programs\Python\Python37
Removing the MAX_PATH Limitation :
Windows historically has limited path lengths to 260 characters. This meant that paths longer than this would not resolve and errors would result.
In the latest versions of Windows, this limitation can be expanded to approximately 32,000 characters. Your administrator will need to activate the “Enable Win32 long paths” group policy, or set the registry value HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\FileSystem@LongPathsEnabled to 1.
This document provides an overview of object-oriented programming concepts using C++. It discusses key OOP concepts like objects, classes, encapsulation, inheritance, polymorphism, and dynamic binding. It also covers C++ specific topics like functions, arrays, strings, modular programming, and classes and objects in C++. The document is intended to introduce the reader to the fundamentals of OOP using C++.
Python Programming - XI. String Manipulation and Regular ExpressionsRanel Padon
The document discusses string manipulation and regular expressions in Python programming. It covers topics like string methods, regular expression concepts including alternatives, grouping, quantification, anchors, meta-characters and character classes. Examples are provided to demonstrate matching patterns in text using regular expressions. The re module is introduced as the core module for using regular expressions in Python.
Python Programming - XIII. GUI ProgrammingRanel Padon
The document discusses Tkinter, the Python GUI programming interface. Tkinter provides a wrapper for the Tk GUI toolkit. Tk was originally created for Tcl but has bindings for other languages like Python through Tkinter. Tkinter allows Python programs to create graphical user interfaces by providing classes and methods that interface with the Tk GUI toolkit. Some key Tkinter widgets discussed include Frame, Label, Button, Entry, Radiobutton and Checkbutton. Pros of Tkinter include brevity, cross-platform support, maturity and extensibility. Potential cons are that it relies on Tcl/Tk which some consider unnecessary and it may have a theoretical speed disadvantage due to the multiple layers of interpretation.
The document discusses using the Strategy Design Pattern to create a modular maps system for CNN Travel that allows switching between different map APIs. It presents the Mapstraction library as an existing approach but notes issues. The Strategy pattern is applied to create a custom Drupal module that isolates map logic from specific APIs (Google, HERE, Mapbox), enabling flexible switching. The system provides map widgets and services info for partner sites via a common interface regardless of the underlying API in use.
This document discusses Tkinter, a GUI toolkit for Python. It provides examples of basic Tkinter code for common widgets like buttons, labels, entries and more. It also covers Tkinter concepts like packing, grids, styling with themes, and events. The document seeks to demonstrate that Tkinter is simple to use yet robust, with a rich set of widgets and capabilities.
Python Programming - III. Controlling the FlowRanel Padon
This document discusses controlling program flow in Python programming. It covers sequence, selection, and repetition control structures including if/else statements, while loops, for loops, and nested control structures. Examples of pseudocode and Python code are provided to illustrate different control structures. The document also discusses logical operators, augmented assignment operators, and practice exercises for readers to test their understanding of controlling program flow.
Python Programming - VIII. Inheritance and PolymorphismRanel Padon
The document discusses inheritance and polymorphism in Python programming. It provides background on object-oriented programming principles like inheritance, base and derived classes. It gives examples of inheritance with classes like Magulang (parent) and Anak (child), Rectangle and Square. It also explains polymorphism through examples of objects from different classes like Tatsulok and Bilog that can be treated the same due to a common superclass. Finally, it discusses abstract classes and gives an example with the abstract MgaTauhan class and derived classes.
This document discusses socket programming in Python. It introduces sockets as endpoints for bidirectional communication across processes locally or remotely. It outlines creating client sockets, connecting to servers, sending and receiving data. For servers, it describes opening sockets, binding addresses and ports, listening for connections, accepting connections, and handling single or multiple connections concurrently. The goal is to provide an overview of using sockets for networking communication in Python applications.
This document summarizes Steve Holden's presentation on network programming in Python at LinuxWorld on January 20, 2004. It introduces network layering and the TCP/IP model. It provides examples of UDP and TCP client-server programming in Python and exercises for attendees to practice writing simple networking clients and servers. It also covers related topics like addressing, naming, and socket options.
Python - A Comprehensive Programming LanguageTsungWei Hu
Python - A Comprehensive Programming Language, talk at
1. CSIE, Providence University, 2009/05/08
2. CSIE, National Taichung Institute of Technology, 2009/10/29
This is Part 1 of a 2-part series where we would be discussing improvements of ASP.NET Core when moving from ASP.MVC. Part 2 would be a deep dive topic where detailed performance improvements report would be discussed and shared with the crowd.
The document discusses the history object in JavaScript, which contains information about URLs visited during a browsing session. It describes several properties and methods of the history object, including length to get the number of URLs in the history, current for the current URL, next and previous for adjacent URLs, and back(), forward(), and go() methods to navigate between URLs programmatically. Examples are given using these methods to create buttons that load the previous or next page in the history list.
This document discusses using radio buttons in Visual BASIC .NET 2012. It is intended for beginners with no prior programming experience. Code examples are provided to handle mouse click and checked changed events for multiple radio buttons. When clicked, the radio buttons add text to a list box, close the form, change the form background color, or modify the font style of the list box text.
Python Programming - X. Exception Handling and AssertionsRanel Padon
The document discusses exception handling in Python programming. It defines an exception as an event that occurs during program execution that indicates an error. It describes how Python uses try and except blocks to handle exceptions. The try block contains code that may raise exceptions, and except blocks handle specific exceptions. Finally blocks always execute to cleanup resources, even if no exception occurs. User-defined exceptions should inherit from the built-in Exception class. The raise statement throws exceptions, and assertions act like raise-if statements to validate program logic.
The document discusses functions in Python. Some key points:
1. Functions allow programmers to split large programs into smaller, reusable units of code. This makes programs easier to understand, test, and maintain.
2. There are different types of functions like built-in functions, user-defined functions, and library functions that contain generic code.
3. Functions can take parameters and return values. Parameters are placeholders for values passed to the function while arguments are the actual values passed.
4. Functions have scopes that determine where variables are accessible. Local scope only allows access within the function while global scope allows access anywhere.
Python uses modules, packages, and libraries to organize code. A module is a .py file containing functions, classes, and variables. Related modules are grouped into packages, which are directories containing an __init__.py file. Libraries are collections of packages that provide specific functionality. The Python standard library includes common modules like math and random. Modules can be imported and used to reuse code in other files or packages.
1) A Python module allows you to organize related code into a logical group and makes the code easier to understand and use.
2) Modules are imported using import statements and can contain functions, classes, and variables that can then be accessed from other code.
3) The import process searches specific directories to locate the module file based on the module name and import path.
Functions allow programmers to organize code into reusable units and divide large programs into smaller, more manageable parts. The document discusses key concepts related to functions in Python like defining and calling user-defined functions, passing arguments, scope, and recursion. It provides examples of different types of functions and how concepts like mutability impact parameter passing. Functions are a fundamental part of modular and readable program design.
LESSON 4: INTRODUCING FUNCTIONS AND MODULAR DESIGN
Learn about Functions in Python. Advantages and disadvantages of functions. Introduction to Modular design. Local and Global Variables and their use. Passing parameters. What are arguments? Big questions: Evolution vs Intelligent design in light of functions (and modular design). A closer look at Robotics and advances in this field. Challenges and tasks including with solutions. Suggested research/HW and YouTube video recommendations. A note on Python’s built in functions.
The document outlines an agenda for a Python workshop. It will cover an introduction to Python, its features, uses in enterprise, popular users, and rapid application development frameworks. The workshop will also cover installation, development environments, basic syntax like strings and control flows, data structures, sorting, object-oriented concepts, modules, errors and exceptions handling, and input/output. Installation instructions for Linux and Windows are provided along with examples of basic Python code.
This document discusses user-defined functions in C++. It covers value-returning functions, the return statement, function prototypes, and flow of execution. Standard (predefined) functions are discussed as well as advantages of using functions such as modularity, reusability, and the ability to focus on individual parts of a program. Function definitions require a heading specifying return type, name, and parameters, as well as a function body and return statement.
This document discusses user-defined functions in C++. It covers defining functions with return types and parameters, using return statements, function prototypes, and the flow of execution when a function is called. Functions help make programs more modular and understandable by breaking tasks into reusable blocks of code. Defining functions properly allows the compiler to understand how to execute function calls within a program.
The document discusses functions in Python. It introduces functions as a way to divide large programs into smaller, more manageable units called functions. Functions allow code to be reused by calling or invoking the function from different parts of a program. The document then covers key concepts related to functions like arguments, parameters, scope, recursion, and more. It provides examples to illustrate different types of functions and how concepts like scope, recursion, and argument passing work.
The document discusses procedural abstraction and functions that return values in programming. It covers topics like top-down design, predefined functions, programmer-defined functions, procedural abstraction, local variables, and overloading function names. Some key points include breaking problems into smaller subtasks using top-down design, how predefined and programmer-defined functions work, the use of return values, and how procedural abstraction hides implementation details through a "black box" approach.
CLASS-11 & 12 ICT PPT Functions in Python.pptxseccoordpal
ICT skills are abilities that help you understand and operate a wide range of technology software. This can include helping users with tasks on computers, such as making video calls, searching on the internet or using a mobile device like a tablet or phone.
This document discusses Python functions and modules. It explains that functions are named blocks of code that perform computations, and modules allow code reuse through importing definitions from other files. It provides examples of defining functions, importing modules, and using built-in and user-defined functions. It also covers topics like function parameters, scopes, and default arguments.
In Python, a function is a reusable block of code that performs a specific task. Functions are used to break down large programs into smaller, manageable, and modular parts, improving code readability, reusability, and efficiency.
Key Aspects of Functions in Python
1. Defining a Function: Functions are defined using the def keyword, followed by the function name and parentheses ( ). Inside the parentheses, you can specify parameters if the function requires inputs.
def function_name(parameters):
# Function body
# Code to execute
2. Calling a Function: Once defined, a function can be called by its name, followed by parentheses and any required arguments.
function_name(arguments)
3. Parameters and Arguments:
• Parameters: Variables specified in the function definition that hold the values passed to the function.
• Arguments: Actual values passed to the function when it is called.
4. Return Statement: Functions can use a return statement to send a result back to the caller. If no return statement is used, the function will return None by default.
def add(a, b):
return a + b
result = add(5, 3) # result will be 8
5. Types of Functions:
• Built-in Functions: Python has many built-in functions like print(), len(), and sum(), which are available by default.
• User-Defined Functions: Functions created by the user to perform specific tasks.
6. Anonymous Functions (Lambda Functions): Python also supports lambda functions, which are small, unnamed functions defined with the lambda keyword. They’re useful for short, simple operations.
square = lambda x: x * x
print(square(5)) # Output: 25
7. Function Scope: Variables defined within a function are local to that function and can’t be accessed outside of it. This scope management helps prevent unexpected changes to variables.
Example of a Function in Python
# Define a function to calculate the area of a rectangle
def calculate_area(length, width):
area = length * width
return area
# Call the function with arguments
result = calculate_area(5, 3)
print("Area:", result) # Output: Area: 15
Benefits of Using Functions
• Code Reusability: Functions allow you to write code once and reuse it whenever needed.
• Modularity: Functions help to organize code into blocks, making it easier to maintain and debug.
• Readability: Breaking down a program into functions makes it more readable and easier to understand.
Python functions are a fundamental tool in programming, allowing you to structure your code for efficiency and clarity.
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Note that you could also download the PDF copy of this presentation by clicking the Save/Download button. The PDF copy has far better quality than the one rendered here online.
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מכונות CNC קידוח אנכיות הן הבחירה הנכונה והטובה ביותר לקידוח ארונות וארגזים לייצור רהיטים. החלק נוסע לאורך ציר ה-x באמצעות ציר דיגיטלי מדויק, ותפוס ע"י צבת מכנית, כך שאין צורך לבצע setup (התאמות) לגדלים שונים של חלקים.
Creating an Accessible Future-How AI-powered Accessibility Testing is Shaping...Impelsys Inc.
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Webinar Recording: https://www.panagenda.com/webinars/domino-iq-was-sie-erwartet-erste-schritte-und-anwendungsfalle/
HCL Domino iQ Server – Vom Ideenportal zur implementierten Funktion. Entdecken Sie, was es ist, was es nicht ist, und erkunden Sie die Chancen und Herausforderungen, die es bietet.
Wichtige Erkenntnisse
- Was sind Large Language Models (LLMs) und wie stehen sie im Zusammenhang mit Domino iQ
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- Schritt-für-Schritt-Anleitung zur Einrichtung Ihres Domino iQ Servers
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Presented by: Anish Kumar
LinkedIn: https://www.linkedin.com/in/anishkumar/
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Webinar Recording: https://www.panagenda.com/webinars/domino-iq-what-to-expect-first-steps-and-use-cases/
HCL Domino iQ Server – From Ideas Portal to implemented Feature. Discover what it is, what it isn’t, and explore the opportunities and challenges it presents.
Key Takeaways
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- Essential prerequisites for deploying Domino iQ Server
- Step-by-step instructions on setting up your Domino iQ Server
- Share and discuss thoughts and ideas to maximize the potential of Domino iQ
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2. PYTHON PROGRAMMING TOPICS
I
• Introduction to Python Programming
II
• Python Basics
III
• Controlling the Program Flow
IV
• Program Components: Functions, Classes, Modules, and Packages
V
• Sequences (List and Tuples), and Dictionaries
VI
• Object-Based Programming: Classes and Objects
VII
• Customizing Classes and Operator Overloading
VIII
• Object-Oriented Programming: Inheritance and Polymorphism
IX
• Randomization Algorithms
X
• Exception Handling and Assertions
XI
• String Manipulation and Regular Expressions
XII
• File Handling and Processing
XIII
• GUI Programming Using Tkinter
9. DIVIDE-AND-CONQUER ALGORITHM
most computer programs that solve real-world problems are
complex/large
the best way to develop and maintain a large program is to
construct it from smaller pieces or components
10. PYTHON PROGRAM COMPONENTS
functions
classes
modules
collection of functions & classes
packages
collection of modules
41. VARIABLE SCOPE
all variables in a program may not be accessible at all locations
in that program
the scope of a variable determines the portion of the program
where you can access a particular variable
42. VARIABLE SCOPE
variables that are defined inside a function body have a local
scope, and those defined outside have a global scope
inside a function, a local variable takes precedence over a
global variable of the same name
possible workaround:
change the variable names to avoid collision
45. PYTHON FUNCTIONS (ARGUMENTS)
You can call a function by using the
following types of formal arguments:
Required Arguments
Default Arguments
Keyword Arguments
Variable-Length Arguments
48. PYTHON FUNCTIONS (ARGUMENTS)
Keyword Arguments
the caller identifies the arguments by the parameter name as
keywords, with/without regard to positional order
52. NAMESPACES
refers to the current snapshot of loaded
names/variables/identifiers/folders
functions must be loaded into the memory before you could call
them, especially when calling external functions/libraries
81. PRACTICE EXERCISE 1
Compute the factorial of a number n:
• n is a number inputted by the user
• make a factorial function and call it to solve
the factorial of n
82. PRACTICE EXERCISE 2
Compute the sum of a number range, say, from a to b, inclusive:
• a, b are numbers inputted by the user
• make a sum_range(a, b) function and call it to solve the
sum of all numbers from a to b, including a and b.
84. REFERENCES
Deitel, Deitel, Liperi, and Wiedermann - Python: How to Program (2001).
Disclaimer: Most of the images/information used here have no proper source
citation, and I do not claim ownership of these either. I don’t want to reinvent the
wheel, and I just want to reuse and reintegrate materials that I think are useful or
cool, then present them in another light, form, or perspective. Moreover, the
images/information here are mainly used for illustration/educational purposes
only, in the spirit of openness of data, spreading light, and empowering people
with knowledge.