Numeric Data types in Python
0 likes1,487 views
This document discusses numeric data types in Python, including integers (int), floating point numbers (float), and complex numbers. Integers can be any whole number without a fractional component and can be positive or negative. Floats contain both integer and fractional parts and are accurate to 15 decimal places. Complex numbers contain real and imaginary parts in the form (real) + (imaginary)j.
1 of 15
Download to read offline
Ad
Recommended
Chapter 1
Chapter 1sugandhi23 The document provides an overview of database systems and concepts. It defines a database as a collection of interrelated data and a set of programs to access the data. Databases are used to manage large, valuable collections of data that are accessed by multiple users simultaneously. The document outlines the components and architecture of database systems, including the storage manager, query processor, transaction manager, and database engine. It also discusses data models, languages, and applications of database systems.
Python GUI
Python GUILusciousLarryDas Tkinter is a standard GUI library for Python that provides a powerful object-oriented interface to the Tk GUI toolkit. It allows for the creation of GUI applications through widgets like buttons, labels, text boxes, and more. Tkinter applications start with importing the library and creating a main window with Tk(), then entering the main event loop with mainloop() to wait for and process events. Widgets can be organized and placed within the main window using geometry managers like pack(), grid(), and place(). Events can also be handled through binding Python functions to different widget events.
Snake PY Game.pptx
Snake PY Game.pptxLovely professinal university This document describes a Snake Pygame project created by Sonu Kumar Chakravarti, a Bachelor of Computer Science & Engineering student with registration number 12019857. The project uses the Pygame library in Python to create a classic snake game, where the player controls a snake to eat apples without hitting walls or itself. The document outlines the steps taken to set up the Pygame library, create the screen, snake, food, and scoring to build the full snake game.
Strategic Human Resource Management (SHRM)
Strategic Human Resource Management (SHRM)Sheetal Wagh Strategic Human Resource Management (SHRM) focuses on aligning human resource practices with organizational goals to enhance overall business performance and foster a positive work culture. It involves collaboration between HR and other departments, emphasizing long-term strategic planning, integration with business strategies, and employee development to achieve a competitive advantage. SHRM also addresses challenges like management resistance and resource limitations while promoting objectives such as employee retention, organizational excellence, and effective communication.
Python exception handling
Python exception handlingMohammed Sikander Exception handling in Python allows programmers to handle errors and exceptions that occur during runtime. The try/except block handles exceptions, with code in the try block executing normally and code in the except block executing if an exception occurs. Finally blocks ensure code is always executed after a try/except block. Programmers can define custom exceptions and raise exceptions using the raise statement.
Data retrieval in sensor networks
Data retrieval in sensor networksAcad This document provides an overview of wireless sensor networks (WSNs). It discusses the architecture of sensor networks, including sensor node hardware, operating systems, and network density considerations. It also describes several layers of the WSN protocol stack, including the MAC layer and common MAC protocols like S-MAC. Key topics covered include query-based communication in WSNs, classifications of WSNs based on functionality, and energy-efficient operation through low-duty cycling.
Python revision tour i
Python revision tour iMr. Vikram Singh Slathia This document provides an overview of Python programming concepts covered in a Class XII course, starting with a revision of Python basics from Class XI. It discusses fundamental topics such as tokens, data types, operators, control structures, and input/output functions, focusing on Python's versatility as an interpreted, high-level programming language. Additionally, it highlights the importance of variables, mutable and immutable types, and practical programming techniques, including loops and conditionals.
Strings in python
Strings in pythonPrabhakaran V M The document discusses strings in Python. It describes that strings are immutable sequences of characters that can contain letters, numbers and special characters. It covers built-in string functions like len(), max(), min() for getting the length, maximum and minimum character. It also discusses string slicing, concatenation, formatting, comparison and various string methods for operations like conversion, formatting, searching and stripping whitespace.
Basic data types in python
Basic data types in pythonsunilchute1 This document discusses basic data types in Python, including numeric, sequence, boolean, and dictionary types. It provides examples and explanations of integer, float, complex, string, list, tuple, set, and dictionary data types. Numeric types represent numeric values, sequence types organize ordered sequences, boolean represents True or False, and dictionary stores key-value pairs. Python assigns data types dynamically based on values and allows flexible conversion between types.
Data Structures in Python
Data Structures in PythonDevashish Kumar The document illustrates essential data structures in Python, including lists, dictionaries, tuples, and sets, along with their characteristics and main functions. It describes lists as versatile and mutable with various manipulation methods, dictionaries as unordered and key-value pairs, tuples as immutable sequences, and sets as collections without duplicates. Additionally, it covers string operations, emphasizing immutability and various string manipulation techniques such as slicing, formatting, and membership testing.
Python : Functions
Python : FunctionsEmertxe Information Technologies Pvt Ltd This document discusses functions and methods in Python. It defines functions and methods, and explains the differences between them. It provides examples of defining and calling functions, returning values from functions, and passing arguments to functions. It also covers topics like local and global variables, function decorators, generators, modules, and lambda functions.
Python basics
Python basicsRANAALIMAJEEDRAJPUT The document provides an overview of the Python programming language. It discusses that Python is an easy to learn, high-level, open-source programming language. It describes Python's design philosophy of code readability and how it allows programmers to express concepts in fewer lines of code compared to languages like C++ and Java. The document also discusses Python's powerful libraries, wide use across industries, and how to get started with Python programming using the IDLE integrated development environment.
Variables & Data Types In Python | Edureka
Variables & Data Types In Python | EdurekaEdureka! The document provides an overview of Python programming, including its introduction, applications, and variable management, highlighting its high-level, object-oriented nature. It explains variable declarations and definitions with examples, details data types such as numbers, strings, lists, and dictionaries, and discusses type conversion functions. Additionally, it emphasizes Python's readability and ease of learning compared to other programming languages.
Python basic
Python basicSaifuddin Kaijar Python is a versatile, object-oriented programming language that can be used for web development, data analysis, and more. It has a simple syntax and is easy to read and learn. Key features include being interpreted, dynamically typed, supporting functional and object-oriented programming. Common data types include numbers, strings, lists, dictionaries, tuples, and files. Functions and classes can be defined to organize and reuse code. Regular expressions provide powerful string manipulation. Python has a large standard library and is used widely in areas like GUIs, web scripting, AI, and scientific computing.
Python-03| Data types
Python-03| Data typesMohd Sajjad The document provides an overview of data types in Python, explaining their classifications and characteristics. It details fundamental data types such as int, float, complex, bool, and str, highlighting their mutability and representation forms. Additionally, it covers more complex data structures like lists, tuples, sets, and dictionaries, emphasizing their specific properties and differences.
Python programming : Files
Python programming : FilesEmertxe Information Technologies Pvt Ltd The document discusses files in Python. It defines a file as an object that stores data, information, settings or commands used with a computer program. There are two main types of files - text files which store data as strings, and binary files which store data as bytes. The document outlines how to open, read, write, append, close and manipulate files in Python using functions like open(), read(), write(), close() etc. It also discusses pickling and unpickling objects to binary files for serialization. Finally, it covers working with directories and running other programs from Python.
Introduction to python
Introduction to pythonAyshwarya Baburam This document provides an overview of the Python programming language. It discusses what Python is, its key features, who uses it, common applications, and how to download and install Python. It then covers Python syntax concepts like identifiers, keywords, multiline statements, docstrings, indentation, comments, and string formatting. The document also introduces Python data types like numbers, strings, lists, tuples, dictionaries, sets and how to work with them. It describes how to convert between number types and access/update strings and lists. Finally, it discusses Python development environments like Anaconda and Spyder.
Data types in python
Data types in pythonRaginiJain21 The document discusses Python data types. It describes the numeric data types integer, float, and complex which are used to represent numbers. Integer is a whole number without decimals, float has decimals, and complex numbers have real and imaginary parts. None is described as a null value. Strings are arrays of characters and can be indexed. Tuples and lists are ordered collections that can hold heterogeneous data types. Sets are unordered collections of unique items. Dictionaries are unordered collections of key-value pairs that allow accessing values via keys.
Python Functions Tutorial | Working With Functions In Python | Python Trainin...
Python Functions Tutorial | Working With Functions In Python | Python Trainin...Edureka! The document is about Python certification training, focusing on functions, their importance, and different types. It explains the concept of functions, including built-in and user-defined functions, provides examples of common built-in functions, and discusses the usage of lambda functions. Additionally, it emphasizes the benefits of using functions to reduce code repetition and outlines how functions can be structured and invoked in Python.
Variables in python
Variables in pythonJaya Kumari The document explains the concept of variables in Python programming, defining a variable as a name that refers to a memory location and emphasizing that Python is dynamically typed. It covers variable declaration, assignment, naming conventions, and the differences between local and global variables, as well as methods for multiple assignments. Additionally, it describes how to delete a variable using the 'del' keyword.
Python strings presentation
Python strings presentationVedaGayathri1 This document provides an overview of Python strings, including their definition, creation, and storage, as well as methods for slicing, modifying, concatenating, and formatting strings. It highlights key string functions such as upper(), lower(), strip(), and how to handle escape characters. The document serves as an informative guide for understanding and working with string data types in Python programming.
Python programming : Strings
Python programming : StringsEmertxe Information Technologies Pvt Ltd The document provides an overview of string manipulation in Python, covering topics such as string creation, indexing, slicing, concatenation, repetition, and the use of various string methods. It also highlights string immutability, methods for searching and replacing substrings, and formatting strings. Additionally, it includes examples and syntax for practical implementations of these concepts.
Python Modules
Python ModulesNitin Reddy Katkam Python modules allow code reuse and organization. A module is a Python file with a .py extension that contains functions and other objects. Modules can be imported and their contents accessed using dot notation. Modules have a __name__ variable that is set to the module name when imported but is set to "__main__" when the file is executed as a script. Packages are collections of modules organized into directories, with each directory being a package. The Python path defines locations where modules can be found during imports.
Python Sequence | Python Lists | Python Sets & Dictionary | Python Strings | ...
Python Sequence | Python Lists | Python Sets & Dictionary | Python Strings | ...Edureka! The document provides an overview of Python sequences, detailing types such as lists, tuples, strings, sets, and dictionaries. It explains sequence operations including concatenation, repetition, membership testing, indexing, and slicing. Additionally, it highlights the unique characteristics of each sequence type and their usage in Python.
File handling in Python
File handling in PythonMegha V The document discusses file handling in Python. It explains that a file is used to permanently store data in non-volatile memory. It describes opening, reading, writing, and closing files. It discusses opening files in different modes like read, write, append. It also explains attributes of file objects like name, closed, and mode. The document also covers reading and writing text and binary files, pickle module for serialization, and working with CSV files and the os.path module.
Python - An Introduction
Python - An IntroductionSwarit Wadhe Python is a high-level, interpreted programming language created by Guido van Rossum in 1991, emphasizing code readability with significant whitespace. It is widely used for web development, scientific applications, education, and supports various programming paradigms like object-oriented and functional programming. Despite its slower performance compared to languages like C/C++, Python's simplicity, extensive libraries, and active community continue to drive its popularity and relevance in areas such as artificial intelligence and data analysis.
Python - Numpy/Pandas/Matplot Machine Learning Libraries
Python - Numpy/Pandas/Matplot Machine Learning LibrariesAndrew Ferlitsch The document provides an overview of three popular Python libraries used in data science: NumPy, Pandas, and Matplotlib. NumPy is essential for scientific computing with powerful n-dimensional arrays, while Pandas is utilized for data manipulation and analysis through indexed arrays and data frames. Matplotlib is a visualization library for creating various types of plots and charts, enhancing the ability to present data effectively.
Fundamentals of Python Programming
Fundamentals of Python ProgrammingKamal Acharya 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.
Programming Basics.pptx
Programming Basics.pptxmahendranaik18 The document discusses algorithms and problem solving using Python. It defines an algorithm as a step-by-step procedure to get a desired output. Characteristics of algorithms include being unambiguous, having well-defined inputs and outputs, and terminating after a finite number of steps. The document provides an example algorithm to add two numbers and displays the result. It also discusses flowcharts, keywords, identifiers, data types like integers and strings, and data structures in Python like lists and dictionaries.
Python Basics by Akanksha Bali
Python Basics by Akanksha BaliAkanksha Bali This document is a comprehensive guide on Python programming, covering topics such as environment setup, syntax, variables, data types, operators, functions, and collections. It highlights the advantages of using Python and provides detailed explanations and examples for various programming concepts. The document serves as an educational resource for beginners in Python programming, illustrating key components and functionalities.
More Related Content
What's hot (20)
Basic data types in python
Basic data types in pythonsunilchute1 This document discusses basic data types in Python, including numeric, sequence, boolean, and dictionary types. It provides examples and explanations of integer, float, complex, string, list, tuple, set, and dictionary data types. Numeric types represent numeric values, sequence types organize ordered sequences, boolean represents True or False, and dictionary stores key-value pairs. Python assigns data types dynamically based on values and allows flexible conversion between types.
Data Structures in Python
Data Structures in PythonDevashish Kumar The document illustrates essential data structures in Python, including lists, dictionaries, tuples, and sets, along with their characteristics and main functions. It describes lists as versatile and mutable with various manipulation methods, dictionaries as unordered and key-value pairs, tuples as immutable sequences, and sets as collections without duplicates. Additionally, it covers string operations, emphasizing immutability and various string manipulation techniques such as slicing, formatting, and membership testing.
Python : Functions
Python : FunctionsEmertxe Information Technologies Pvt Ltd This document discusses functions and methods in Python. It defines functions and methods, and explains the differences between them. It provides examples of defining and calling functions, returning values from functions, and passing arguments to functions. It also covers topics like local and global variables, function decorators, generators, modules, and lambda functions.
Python basics
Python basicsRANAALIMAJEEDRAJPUT The document provides an overview of the Python programming language. It discusses that Python is an easy to learn, high-level, open-source programming language. It describes Python's design philosophy of code readability and how it allows programmers to express concepts in fewer lines of code compared to languages like C++ and Java. The document also discusses Python's powerful libraries, wide use across industries, and how to get started with Python programming using the IDLE integrated development environment.
Variables & Data Types In Python | Edureka
Variables & Data Types In Python | EdurekaEdureka! The document provides an overview of Python programming, including its introduction, applications, and variable management, highlighting its high-level, object-oriented nature. It explains variable declarations and definitions with examples, details data types such as numbers, strings, lists, and dictionaries, and discusses type conversion functions. Additionally, it emphasizes Python's readability and ease of learning compared to other programming languages.
Python basic
Python basicSaifuddin Kaijar Python is a versatile, object-oriented programming language that can be used for web development, data analysis, and more. It has a simple syntax and is easy to read and learn. Key features include being interpreted, dynamically typed, supporting functional and object-oriented programming. Common data types include numbers, strings, lists, dictionaries, tuples, and files. Functions and classes can be defined to organize and reuse code. Regular expressions provide powerful string manipulation. Python has a large standard library and is used widely in areas like GUIs, web scripting, AI, and scientific computing.
Python-03| Data types
Python-03| Data typesMohd Sajjad The document provides an overview of data types in Python, explaining their classifications and characteristics. It details fundamental data types such as int, float, complex, bool, and str, highlighting their mutability and representation forms. Additionally, it covers more complex data structures like lists, tuples, sets, and dictionaries, emphasizing their specific properties and differences.
Python programming : Files
Python programming : FilesEmertxe Information Technologies Pvt Ltd The document discusses files in Python. It defines a file as an object that stores data, information, settings or commands used with a computer program. There are two main types of files - text files which store data as strings, and binary files which store data as bytes. The document outlines how to open, read, write, append, close and manipulate files in Python using functions like open(), read(), write(), close() etc. It also discusses pickling and unpickling objects to binary files for serialization. Finally, it covers working with directories and running other programs from Python.
Introduction to python
Introduction to pythonAyshwarya Baburam This document provides an overview of the Python programming language. It discusses what Python is, its key features, who uses it, common applications, and how to download and install Python. It then covers Python syntax concepts like identifiers, keywords, multiline statements, docstrings, indentation, comments, and string formatting. The document also introduces Python data types like numbers, strings, lists, tuples, dictionaries, sets and how to work with them. It describes how to convert between number types and access/update strings and lists. Finally, it discusses Python development environments like Anaconda and Spyder.
Data types in python
Data types in pythonRaginiJain21 The document discusses Python data types. It describes the numeric data types integer, float, and complex which are used to represent numbers. Integer is a whole number without decimals, float has decimals, and complex numbers have real and imaginary parts. None is described as a null value. Strings are arrays of characters and can be indexed. Tuples and lists are ordered collections that can hold heterogeneous data types. Sets are unordered collections of unique items. Dictionaries are unordered collections of key-value pairs that allow accessing values via keys.
Python Functions Tutorial | Working With Functions In Python | Python Trainin...
Python Functions Tutorial | Working With Functions In Python | Python Trainin...Edureka! The document is about Python certification training, focusing on functions, their importance, and different types. It explains the concept of functions, including built-in and user-defined functions, provides examples of common built-in functions, and discusses the usage of lambda functions. Additionally, it emphasizes the benefits of using functions to reduce code repetition and outlines how functions can be structured and invoked in Python.
Variables in python
Variables in pythonJaya Kumari The document explains the concept of variables in Python programming, defining a variable as a name that refers to a memory location and emphasizing that Python is dynamically typed. It covers variable declaration, assignment, naming conventions, and the differences between local and global variables, as well as methods for multiple assignments. Additionally, it describes how to delete a variable using the 'del' keyword.
Python strings presentation
Python strings presentationVedaGayathri1 This document provides an overview of Python strings, including their definition, creation, and storage, as well as methods for slicing, modifying, concatenating, and formatting strings. It highlights key string functions such as upper(), lower(), strip(), and how to handle escape characters. The document serves as an informative guide for understanding and working with string data types in Python programming.
Python programming : Strings
Python programming : StringsEmertxe Information Technologies Pvt Ltd The document provides an overview of string manipulation in Python, covering topics such as string creation, indexing, slicing, concatenation, repetition, and the use of various string methods. It also highlights string immutability, methods for searching and replacing substrings, and formatting strings. Additionally, it includes examples and syntax for practical implementations of these concepts.
Python Modules
Python ModulesNitin Reddy Katkam Python modules allow code reuse and organization. A module is a Python file with a .py extension that contains functions and other objects. Modules can be imported and their contents accessed using dot notation. Modules have a __name__ variable that is set to the module name when imported but is set to "__main__" when the file is executed as a script. Packages are collections of modules organized into directories, with each directory being a package. The Python path defines locations where modules can be found during imports.
Python Sequence | Python Lists | Python Sets & Dictionary | Python Strings | ...
Python Sequence | Python Lists | Python Sets & Dictionary | Python Strings | ...Edureka! The document provides an overview of Python sequences, detailing types such as lists, tuples, strings, sets, and dictionaries. It explains sequence operations including concatenation, repetition, membership testing, indexing, and slicing. Additionally, it highlights the unique characteristics of each sequence type and their usage in Python.
File handling in Python
File handling in PythonMegha V The document discusses file handling in Python. It explains that a file is used to permanently store data in non-volatile memory. It describes opening, reading, writing, and closing files. It discusses opening files in different modes like read, write, append. It also explains attributes of file objects like name, closed, and mode. The document also covers reading and writing text and binary files, pickle module for serialization, and working with CSV files and the os.path module.
Python - An Introduction
Python - An IntroductionSwarit Wadhe Python is a high-level, interpreted programming language created by Guido van Rossum in 1991, emphasizing code readability with significant whitespace. It is widely used for web development, scientific applications, education, and supports various programming paradigms like object-oriented and functional programming. Despite its slower performance compared to languages like C/C++, Python's simplicity, extensive libraries, and active community continue to drive its popularity and relevance in areas such as artificial intelligence and data analysis.
Python - Numpy/Pandas/Matplot Machine Learning Libraries
Python - Numpy/Pandas/Matplot Machine Learning LibrariesAndrew Ferlitsch The document provides an overview of three popular Python libraries used in data science: NumPy, Pandas, and Matplotlib. NumPy is essential for scientific computing with powerful n-dimensional arrays, while Pandas is utilized for data manipulation and analysis through indexed arrays and data frames. Matplotlib is a visualization library for creating various types of plots and charts, enhancing the ability to present data effectively.
Fundamentals of Python Programming
Fundamentals of Python ProgrammingKamal Acharya 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.
Similar to Numeric Data types in Python (20)
Programming Basics.pptx
Programming Basics.pptxmahendranaik18 The document discusses algorithms and problem solving using Python. It defines an algorithm as a step-by-step procedure to get a desired output. Characteristics of algorithms include being unambiguous, having well-defined inputs and outputs, and terminating after a finite number of steps. The document provides an example algorithm to add two numbers and displays the result. It also discusses flowcharts, keywords, identifiers, data types like integers and strings, and data structures in Python like lists and dictionaries.
Python Basics by Akanksha Bali
Python Basics by Akanksha BaliAkanksha Bali This document is a comprehensive guide on Python programming, covering topics such as environment setup, syntax, variables, data types, operators, functions, and collections. It highlights the advantages of using Python and provides detailed explanations and examples for various programming concepts. The document serves as an educational resource for beginners in Python programming, illustrating key components and functionalities.
Introduction to python programming
Introduction to python programmingSrinivas Narasegouda The document serves as an introduction to Python programming, covering its origins, features, data types, and comparisons to Java. It emphasizes Python's simplicity and ease of use, making it an excellent choice for beginners and various applications. The presentation also details collection types, identifiers, keywords, and provides examples alongside programming assignments.
parts_of_python_programming_language.pptx
parts_of_python_programming_language.pptxKoteswari Kasireddy Python identifiers follow some basic rules:
1. They can include letters, numbers, and underscores.
2. They cannot start with a number.
3. Keywords like "if" cannot be used.
4. Identifiers are case-sensitive.
Of the given options, valid Python identifiers include: total1234, _abc_abc_, _p. Invalid ones include: 123total (can't start with number), java2share (contains special character), ca$h (contains special character), def (is a keyword).
Python Sequence Data types in Brief
Python Sequence Data types in Briefjyostna bodapati The document discusses different sequence data types in Python including strings, lists, and tuples. It provides information on how each type is defined and created, how elements within each type can be accessed using indexes and slicing, and notes that lists are mutable while tuples are immutable. Key differences between each type such as enclosure for strings and allowed element types for lists and tuples are also outlined.
Review old Pygame made using python programming.pptx
Review old Pygame made using python programming.pptxithepacer The document outlines the structure and content of a final exam including multiple-choice, true/false, programming questions, and Q&A segments. It provides a review of basic programming concepts in Python such as variables, data types, expressions, and control structures. Additionally, it covers user input, conditionals, loops, and Python's arithmetic, assignment, comparison, and logical operators.
Review 2Pygame made using python programming
Review 2Pygame made using python programmingithepacer The document outlines the structure and content of a final exam, which includes multiple-choice, true/false, programming questions, and various coding and Python concepts. It reviews key topics such as variables, data types, operators, and control flow in Python programming. Additionally, it emphasizes coding practices like variable naming and expressions while providing exercises for better understanding.
Python Data types properties
Python Data types propertiesjyostna bodapati This document discusses Python data types. It begins by explaining that data types determine the type of value stored in a variable, the operations that can be performed on the data, and provides an example. It then outlines some key properties of Python data types - that Python is dynamically typed, type can change during execution, data types are classes and variables are instances, and Python is strongly but not weakly typed. The document proceeds to explain how to get the data type using type() and categorizes main Python data types into scalars, sequences, mappings and sets.
4. Tools Proyek Data Science DTS-TA v.3.pptx
4. Tools Proyek Data Science DTS-TA v.3.pptxirvaimuhammad This document outlines a training module focusing on data science tools and their applications, emphasizing the Python programming language. It covers topics such as Python libraries, programming environments, and practical data science techniques including data cleaning, modeling, and visualization. Additionally, it discusses other essential tools like Git for version control and various Python data structures like lists, tuples, sets, and dictionaries.
Basic concept of Python.pptx includes design tool, identifier, variables.
Basic concept of Python.pptx includes design tool, identifier, variables.supriyasarkar38 This document discusses Python programming concepts including data types, variables, operators, and functions. It provides examples of Python syntax for writing and executing code as well as built-in data types like strings, integers, and lists. Key concepts covered include variables, data type casting, comments, arithmetic and comparison operators, and functions.
1.4 Work with data types and variables, numeric data, string data.pptx
1.4 Work with data types and variables, numeric data, string data.pptxVGaneshKarthikeyan This presentation covers Python data types, variables, and how to work with numeric and string data. It discusses the basic data types in Python including integers, floats, and strings. It explains how to assign values to variables and name variables appropriately. The presentation also covers arithmetic operators and order of precedence, how to perform calculations with numeric data, and common string operations like indexing, slicing, and escape sequences.
Python Essentials - PICT.pdf
Python Essentials - PICT.pdfPrashant Jamkhande The document provides an overview of essential Python concepts including:
1. It introduces Python data types like integers, floats, strings, lists, tuples, sets, and dictionaries.
2. It covers Python control structures like conditionals, loops, functions, classes and modules.
3. It discusses key Python programming concepts like duck typing, type conversion, slicing, multiple assignments and higher order functions.
4. It provides recommendations on performance improvements, virtual environments, and popular Python web frameworks.
python notes for MASTER OF COMPUTER APPLIICATION_ppt.pptx
python notes for MASTER OF COMPUTER APPLIICATION_ppt.pptxyuvarajkumar334 The document provides an extensive overview of Python programming, detailing its features, parts, data types, operations, and syntax. It explains essential concepts such as identifiers, variables, operators, and data types, and emphasizes Python's simplicity, readability, and capability for database connectivity. Key topics include the use of indentation for code blocks, reading user input, and various string formatting methods available in Python.
Python programming
Python programmingsaroja20 This document provides an introduction and overview of the Python programming language. It discusses Python's key features such as being an interpreted, object-oriented, high-level programming language with dynamic typing and a large standard library. It also covers Python's use as both a scripting and general purpose language. The document then discusses Python's data types, operators, control flow statements, functions, and lambda expressions. It provides examples of using Python interactively and in script mode.
Datatypes in python
Datatypes in pythoneShikshak The document discusses various Python datatypes. It explains that Python supports built-in and user-defined datatypes. The main built-in datatypes are None, numeric, sequence, set and mapping types. Numeric types include int, float and complex. Common sequence types are str, bytes, list, tuple and range. Sets can be created using set and frozenset datatypes. Mapping types represent a group of key-value pairs like dictionaries.
Python-Basics.pptx
Python-Basics.pptxTamalSengupta8 Python can be used for a variety of applications including web development, scientific computing, education, desktop GUIs, and software development. It is commonly used to build web applications using frameworks like Django and Flask, for scientific computing tasks using libraries like NumPy and SciPy, and for general software development tasks like build automation and testing. Python supports a range of data types including integers, floats, complex numbers, lists, dictionaries, sets, and strings. It can be used to write functions and programs to solve problems across many domains.
Python Programming 1.pptx
Python Programming 1.pptxFrancis Densil Raj Python is an interpreted, interactive, object-oriented programming language. It has a simple syntax and is used for rapid application development. Python supports procedural, object-oriented, and functional programming. It has a large standard library and can connect to existing components. Python is easy to read and maintain due to its clear syntax and structure. It is also portable and has broad library support.
Python Programming for problem solving.pptx
Python Programming for problem solving.pptxNishaM41 The document is an extensive overview of the Python programming language, covering its history, features, and applications. It explains Python's syntax, variable declaration, data types, operators, control flow statements, and the use of comments, identifiers, and keywords. Additionally, it highlights the interactive and script modes of execution, as well as practical examples to illustrate programming concepts.
Ad
Recently uploaded (20)
Publishing Your Memoir with Brooke Warner
Publishing Your Memoir with Brooke WarnerBrooke Warner Brooke Warner presents on getting published - traditional, hybrid, and self-publishing.
www.memoirnation.com
SCHIZOPHRENIA OTHER PSYCHOTIC DISORDER LIKE Persistent delusion/Capgras syndr...
SCHIZOPHRENIA OTHER PSYCHOTIC DISORDER LIKE Persistent delusion/Capgras syndr...parmarjuli1412 SCHIZOPHRENIA INCLUDED TOPIC IS INTRODUCTION, DEFINITION OF GENERAL TERM IN PSYCHIATRIC, THEN DIFINITION OF SCHIZOPHRENIA, EPIDERMIOLOGY, ETIOLOGICAL FACTORS, CLINICAL FEATURE(SIGN AND SYMPTOMS OF SCHIZOPHRENIA), CLINICAL TYPES OF SCHIZOPHRENIA, DIAGNOSIS, INVESTIGATION, TREATMENT MODALITIES(PHARMACOLOGICAL MANAGEMENT, PSYCHOTHERAPY, ECT, PSYCHO-SOCIO-REHABILITATION), NURSING MANAGEMENT(ASSESSMENT,DIAGNOSIS,NURSING INTERVENTION,AND EVALUATION), OTHER PSYCHOTIC DISORDER LIKE Persistent delusion/Capgras syndrome(The Delusion of Doubles)/Acute and Transient Psychotic Disorders/Induced Delusional Disorders/Schizoaffective Disorder /CAPGRAS SYNDROME(DELUSION OF DOUBLE), GERIATRIC CONSIDERATION, FOLLOW UP, HOMECARE AND REHABILITATION OF THE PATIENT,
Introduction to Generative AI and Copilot.pdf
Introduction to Generative AI and Copilot.pdfTechSoup In this engaging and insightful two-part webinar series, where we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals.
This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft.
Sustainable Innovation with Immersive Learning
Sustainable Innovation with Immersive LearningLeonel Morgado Prof. Leonel and Prof. Dennis approached educational uses, practices, and strategies of using immersion as a lens to interpret, design, and planning educational activities in a sustainable way. Rather than one-off gimmicks, the intent is to enable instructors (and institutions) to be able to include them in their regular activities, including the ability to evaluate and redesign them.
Immersion as a phenomenon enables interpreting pedagogical activities in a learning-agnostic way: you take a stance on the learning theory to follow, and leverage immersion to envision and guide your practice.
How to Manage Inventory Movement in Odoo 18 POS
How to Manage Inventory Movement in Odoo 18 POSCeline George Inventory management in the Odoo 18 Point of Sale system is tightly integrated with the inventory module, offering a solution to businesses to manage sales and stock in one united system.
2025 June Year 9 Presentation: Subject selection.pptx
2025 June Year 9 Presentation: Subject selection.pptxmansk2 2025 June Year 9 Presentation: Subject selection
Communicable Diseases and National Health Programs – Unit 9 | B.Sc Nursing 5t...
Communicable Diseases and National Health Programs – Unit 9 | B.Sc Nursing 5t...RAKESH SAJJAN This PowerPoint presentation covers Unit 9 – Communicable Diseases and National Health Programs, a core part of the 5th Semester B.Sc Nursing (Community Health Nursing – I) syllabus, as outlined by the Indian Nursing Council (INC).
This unit enables nursing students to understand the epidemiology, prevention, control, and nursing management of common communicable diseases in India, while also offering a structured overview of the National Health Programs implemented to address them.
The content is critical for effective field practice, disease surveillance, early detection, referral, and health education, equipping students to participate in public health interventions and outbreak control at community and national levels.
📘 Key Topics Covered in the PPT:
Definition and classification of communicable diseases
Modes of transmission and chain of infection
Common communicable diseases in India:
Malaria
Tuberculosis
Leprosy
Dengue
HIV/AIDS
Hepatitis
COVID-19 (if included in the current curriculum)
Diarrheal diseases
Acute Respiratory Infections (ARIs)
Epidemiological factors, causative agents, symptoms, and incubation periods
Prevention and control strategies: primary, secondary, and tertiary levels
Nursing responsibilities in patient care, contact tracing, community surveillance, and outbreak control
Health education and behavior change communication for community awareness
Vaccination schedules and cold chain maintenance
National Health Programs related to communicable diseases:
National Vector Borne Disease Control Program (NVBDCP)
Revised National Tuberculosis Control Program (RNTCP)
National Leprosy Eradication Program (NLEP)
National AIDS Control Program (NACP)
Universal Immunization Program (UIP)
IDSP – Integrated Disease Surveillance Program
Overview of standard treatment protocols, referral mechanisms, and community nurse’s role in program implementation
This presentation is ideal for:
Nursing students preparing for university exams, class tests, and field projects
Tutors teaching infectious disease nursing and public health interventions
Nurses involved in immunization, outbreak investigation, and contact tracing
It provides a student-friendly breakdown of concepts, aligned with national priorities, including flowcharts, tables, case examples, and simplified text for field-level application.
Plate Tectonic Boundaries and Continental Drift Theory
Plate Tectonic Boundaries and Continental Drift TheoryMarie This 28 slide presentation covers the basics of plate tectonics and continental drift theory. It is an effective introduction into a full plate tectonics unit study, but does not cover faults, stress, seismic waves, or seafloor spreading.
To download PDF, visit The Homeschool Daily. We will be uploading more slideshows to follow this one. Blessings, Marie
Health Care Planning and Organization of Health Care at Various Levels – Unit...
Health Care Planning and Organization of Health Care at Various Levels – Unit...RAKESH SAJJAN This comprehensive PowerPoint presentation is prepared for B.Sc Nursing 5th Semester students and covers Unit 2 of Community Health Nursing – I based on the Indian Nursing Council (INC) syllabus. The unit focuses on the planning, structure, and functioning of health care services at various levels in India. It is especially useful for nursing educators and students preparing for university exams, internal assessments, or professional teaching assignments.
The content of this presentation includes:
Historical development of health planning in India
Detailed study of various health committees: Bhore, Mudaliar, Kartar Singh, Shrivastava Committee, etc.
Overview of major health commissions
In-depth understanding of Five-Year Plans and their impact on health care
Community participation and stakeholder involvement in health care planning
Structure of health care delivery system at central, state, district, and peripheral levels
Concepts and implementation of Primary Health Care (PHC) and Sustainable Development Goals (SDGs)
Introduction to Comprehensive Primary Health Care (CPHC) and Health and Wellness Centers (HWCs)
Expanded role of Mid-Level Health Providers (MLHPs) and Community Health Providers (CHPs)
Explanation of national health policies: NHP 1983, 2002, and 2017
Key national missions and schemes including:
National Health Mission (NHM)
National Rural Health Mission (NRHM)
National Urban Health Mission (NUHM)
Ayushman Bharat – Pradhan Mantri Jan Arogya Yojana (PM-JAY)
Universal Health Coverage (UHC) and India’s commitment to equitable health care
This presentation is ideal for:
Nursing students (B.Sc, GNM, Post Basic)
Nursing tutors and faculty
Health educators
Competitive exam aspirants in nursing and public health
It is organized in a clear, point-wise format with relevant terminologies and a focus on applied knowledge. The slides can also be used for community health demonstrations, teaching sessions, and revision guides.
PEST OF WHEAT SORGHUM BAJRA and MINOR MILLETS.pptx
PEST OF WHEAT SORGHUM BAJRA and MINOR MILLETS.pptxArshad Shaikh Wheat, sorghum, and bajra (pearl millet) are susceptible to various pests that can significantly impact crop yields. Common pests include aphids, stem borers, shoot flies, and armyworms. Aphids feed on plant sap, weakening the plants, while stem borers and shoot flies damage the stems and shoots, leading to dead hearts and reduced growth. Armyworms, on the other hand, are voracious feeders that can cause extensive defoliation and grain damage. Effective management strategies, including resistant varieties, cultural practices, and targeted pesticide applications, are essential to mitigate pest damage and ensure healthy crop production.
Non-Communicable Diseases and National Health Programs – Unit 10 | B.Sc Nursi...
Non-Communicable Diseases and National Health Programs – Unit 10 | B.Sc Nursi...RAKESH SAJJAN This PowerPoint presentation is prepared for Unit 10 – Non-Communicable Diseases and National Health Programs, as per the 5th Semester B.Sc Nursing syllabus outlined by the Indian Nursing Council (INC) under the subject Community Health Nursing – I.
This unit focuses on equipping students with knowledge of the causes, prevention, and control of non-communicable diseases (NCDs), which are a major public health challenge in India. The presentation emphasizes the nurse’s role in early detection, screening, management, and referral services under national-level programs.
🔹 Key Topics Included:
Definition, burden, and impact of NCDs in India
Epidemiology, risk factors, signs/symptoms, prevention, and management of:
Diabetes Mellitus
Hypertension
Cardiovascular Diseases
Stroke & Obesity
Thyroid Disorders
Blindness
Deafness
Injuries and Accidents (incl. road traffic injuries and trauma guidelines)
NCD-2 Cancers:
Breast Cancer
Cervical Cancer
Oral Cancer
Risk factors, screening, diagnosis, early signs, referral & palliative care
Role of nurse in screening, referral, counseling, and continuum of care
National Programs:
National Program for Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases and Stroke (NPCDCS)
National Program for Control of Blindness
National Program for Prevention and Control of Deafness
National Tobacco Control Program (NTCP)
Introduction to Universal Health Coverage and Ayushman Bharat
Use of standard treatment protocols and referral flowcharts
This presentation is ideal for:
Classroom lectures, field assignments, health education planning, and student projects
Preparing for university exams, class tests, and community field postings
Wax Moon, Richmond, VA. Terrence McPherson
Wax Moon, Richmond, VA. Terrence McPhersonTerrenceMcPherson1 Wax Moon is an independent record store keeping its foundational foothold in vinyl records by taking in collections and keeping the old 80s aesthetics alive with involvement in its community and participation with record distributors.
Assisting Individuals and Families to Promote and Maintain Health – Unit 7 | ...
Assisting Individuals and Families to Promote and Maintain Health – Unit 7 | ...RAKESH SAJJAN This PowerPoint presentation is based on Unit 7 – Assisting Individuals and Families to Promote and Maintain Their Health, a core topic in Community Health Nursing – I for 5th Semester B.Sc Nursing students, as per the Indian Nursing Council (INC) guidelines.
The unit emphasizes the nurse’s role in family-centered care, early detection of health problems, health promotion, and appropriate referrals, especially in the context of home visits and community outreach. It also strengthens the student’s understanding of nursing responsibilities in real-life community settings.
📘 Key Topics Covered in the Presentation:
Introduction to family health care: needs, principles, and objectives
Assessment of health needs of individuals, families, and groups
Observation and documentation during home visits and field assessments
Identifying risk factors: environmental, behavioral, genetic, and social
Conducting growth and development monitoring in infants and children
Recording and observing:
Milestones of development
Menstrual health and reproductive cycle
Temperature, blood pressure, and vital signs
General physical appearance and personal hygiene
Social assessment: understanding family dynamics, occupation, income, living conditions
Health education and counseling for individuals and families
Guidelines for early detection and referral of communicable and non-communicable diseases
Maintenance of family health records and individual health cards
Assisting families with:
Maternal and child care
Elderly and chronic disease management
Hygiene and nutrition guidance
Utilization of community resources – referral linkages, support services, and local health programs
Role of nurse in coordinating care, advocating for vulnerable individuals, and empowering families
Promoting self-care and family participation in disease prevention and health maintenance
This presentation is highly useful for:
Nursing students preparing for internal exams, university theory papers, or community postings
Health educators conducting family teaching sessions
Students conducting fieldwork and project work during community postings
Public health nurses and outreach workers dealing with preventive, promotive, and rehabilitative care
It’s structured in a step-by-step format, featuring tables, case examples, and simplified explanations tailored for easy understanding and classroom delivery.
How to Manage Multi Language for Invoice in Odoo 18
How to Manage Multi Language for Invoice in Odoo 18Celine George Odoo supports multi-language functionality for invoices, allowing you to generate invoices in your customers’ preferred languages. Multi-language support for invoices is crucial for businesses operating in global markets or dealing with customers from different linguistic backgrounds.
University of Ghana Cracks Down on Misconduct: Over 100 Students Sanctioned
University of Ghana Cracks Down on Misconduct: Over 100 Students SanctionedKweku Zurek University of Ghana Cracks Down on Misconduct: Over 100 Students Sanctioned
Ad
Numeric Data types in Python
- 1. Numeric Data Types by Jyostna Devi Bodapati
- 2. Python Programming Specialization Python Programming – Data Structures Numeric Data Types ▪ Numeric data types represent numeric data such as integers, floating point or complex numbers ▪ Objects that store numerical type of data come under this category Numeric int float complex
- 3. Python Programming Specialization Python Programming – Data Structures Data Type: int
- 4. Python Programming Specialization Python Programming – Data Structures Numeric Data Type: int ▪ Integers are represented by int class ▪ Integers are the whole numbers without any fractional part ▪ Can be positive or negative numbers ▪ In Python, Integers can be of any length ▪ It’s length is restricted to the system memory
- 5. Python Programming Specialization Python Programming – Data Structures Numeric Data Type: int ▪ Examples: >>> a = 10 >>> b = 100 >>> c = 11111 >>> d = 3333 >>> e = 234257843112578886
- 6. Python Programming Specialization Python Programming – Data Structures Integers with other bases
- 7. Python Programming Specialization Python Programming – Data Structures <class int>: Binary data ▪Binary: Integers with base 2 ▪Binary digits followed by 0b or 0B are treated as binary in python >>> a = 0b101 #binary >>> b = 0B100 #binary Note: a is 5 and b is 4
- 8. Python Programming Specialization Python Programming – Data Structures <class int>: Octal data ▪Octal: Integers with base 8 ▪Integers (0-7) followed by 0o or 0O are treated as octal in python >>> c = 0o231 #octal >>> d = 0O347 #octal Note: C is 153 and d is 231
- 9. Python Programming Specialization Python Programming – Data Structures <class int>: Hexa-decimal ▪Hexa-decimal: Integers with base 16 ▪Integers (0-9, A, B, C, D, E, F) followed by 0x or 0X are treated as octal in python >>> e = 0x23 #hexa >>> f = 0X3A # hexa Note: e is 35 and f is 58
- 10. Python Programming Specialization Python Programming – Data Structures Data Type: float
- 11. Python Programming Specialization Python Programming – Data Structures Numeric Data Type: float ▪ Real numbers are treated as float class ▪ Contains both integer and fractional part ▪ Can be positive or negative numbers ▪ Python floating precision numbers are accurate upto 15 decimal places ▪ Either floating point representation or scientific representation is valid in python
- 12. Python Programming Specialization Python Programming – Data Structures Numeric Data Type: float ▪ Examples: >>> a = 2.3 >>> b = 100.0 >>> c = 0.5e+7 >>> d = 0.00e-4 >>> x = 0.30000000000000004
- 13. Python Programming Specialization Python Programming – Data Structures Complex Numbers
- 14. Python Programming Specialization Python Programming – Data Structures Numeric DataType: complex Numerals with real and imaginary parts are treated as complex class General Form: (real part) + (imaginary part)j Ex: -5 + 3j