This document summarizes key concepts about the Python programming language covered in Chapter 6 of the book "IoT Systems – Logical Design using Python". It discusses Python's characteristics as a multi-paradigm, interpreted, and interactive language. It also covers Python data types including numbers, strings, lists, tuples and dictionaries. Additionally, it demonstrates Python control flow using if statements and provides examples of type conversions. The document aims to introduce readers to Python concepts through examples for designing IoT systems using the programming language.
The document discusses the Raspberry Pi, a credit card-sized computer originally designed for education. It provides details on the history and components of the Raspberry Pi. The Raspberry Pi was created in 2012 by the Raspberry Pi Foundation in the UK. Several models have been released since then with improvements like additional RAM, WiFi/Bluetooth capabilities, and more powerful processors. The Raspberry Pi runs Linux and can be used for tasks like web browsing, programming, and electronics projects. Examples of projects developed with Raspberry Pi include desktop computers, smart mirrors, gaming devices, robots, and IoT sensors.
Virtualization is a technique, which allows to share single physical instance of an application or resource among multiple organizations or tenants (customers)..
Virtualization is a proved technology that makes it possible to run multiple operating system and applications on the same server at same time.
Virtualization is the process of creating a logical(virtual) version of a server operating system, a storage device, or network services.
The technology that work behind virtualization is known as a virtual machine monitor(VM), or virtual manager which separates compute environments from the actual physical infrastructure.
Google App Engine (GAE) is a platform as a service that allows developers to build and host web applications in Google's data centers. GAE applications are sandboxed and automatically scale based on traffic. GAE provides a computing environment with common web technologies, an admin console, scalable infrastructure, and SDK. It compares favorably to AWS with automatic scaling, large data storage, and programming language support, though developers must follow Google's policies and porting applications can be difficult. GAE offers cost savings, performance, and reliability though fees do apply for high resource usage.
The document discusses the key components and building blocks for IoT devices. It describes how IoT devices typically contain a microcontroller, sensors, and actuators to collect and respond to information. The document outlines the software, physical computing, and design aspects of developing IoT devices, including using microcontrollers, sensors, programming languages and tools. Diagrams show examples of common IoT device architectures that connect microcontrollers and components to servers through wireless protocols.
The document discusses various protocols and security aspects related to IoT. It provides details on protocols such as IEEE 802.15.4, BACnet, Modbus, KNX, Zigbee etc. It also outlines vulnerabilities in IoT like unauthorized access, information corruption, DoS attacks. Key elements of IoT security discussed are identity establishment, access control, data security, non-repudiation and availability. Security requirements and models for IoT are also mentioned.
The document describes 6 levels of IoT systems with increasing complexity. Level 1 has a single device that performs all functions. Level 2 has local analysis and cloud storage. Level 3 has cloud storage, analysis and applications. Level 4 has multiple analyzing nodes. Level 5 uses a coordinator node. Level 6 has independent nodes that communicate with the cloud. Each level is illustrated with an example system like home automation, smart irrigation or weather monitoring. The document also lists some common IoT issues as security, privacy, interoperability, legal compliance, and economic challenges.
The document discusses the Raspberry Pi, a credit card-sized computer originally designed for education. It provides details on the history and components of the Raspberry Pi. The Raspberry Pi was created in 2012 by the Raspberry Pi Foundation in the UK. Several models have been released since then with improvements like additional RAM, WiFi/Bluetooth capabilities, and more powerful processors. The Raspberry Pi runs Linux and can be used for tasks like web browsing, programming, and electronics projects. Examples of projects developed with Raspberry Pi include desktop computers, smart mirrors, gaming devices, robots, and IoT sensors.
Virtualization is a technique, which allows to share single physical instance of an application or resource among multiple organizations or tenants (customers)..
Virtualization is a proved technology that makes it possible to run multiple operating system and applications on the same server at same time.
Virtualization is the process of creating a logical(virtual) version of a server operating system, a storage device, or network services.
The technology that work behind virtualization is known as a virtual machine monitor(VM), or virtual manager which separates compute environments from the actual physical infrastructure.
Google App Engine (GAE) is a platform as a service that allows developers to build and host web applications in Google's data centers. GAE applications are sandboxed and automatically scale based on traffic. GAE provides a computing environment with common web technologies, an admin console, scalable infrastructure, and SDK. It compares favorably to AWS with automatic scaling, large data storage, and programming language support, though developers must follow Google's policies and porting applications can be difficult. GAE offers cost savings, performance, and reliability though fees do apply for high resource usage.
The document discusses the key components and building blocks for IoT devices. It describes how IoT devices typically contain a microcontroller, sensors, and actuators to collect and respond to information. The document outlines the software, physical computing, and design aspects of developing IoT devices, including using microcontrollers, sensors, programming languages and tools. Diagrams show examples of common IoT device architectures that connect microcontrollers and components to servers through wireless protocols.
The document discusses various protocols and security aspects related to IoT. It provides details on protocols such as IEEE 802.15.4, BACnet, Modbus, KNX, Zigbee etc. It also outlines vulnerabilities in IoT like unauthorized access, information corruption, DoS attacks. Key elements of IoT security discussed are identity establishment, access control, data security, non-repudiation and availability. Security requirements and models for IoT are also mentioned.
The document describes 6 levels of IoT systems with increasing complexity. Level 1 has a single device that performs all functions. Level 2 has local analysis and cloud storage. Level 3 has cloud storage, analysis and applications. Level 4 has multiple analyzing nodes. Level 5 uses a coordinator node. Level 6 has independent nodes that communicate with the cloud. Each level is illustrated with an example system like home automation, smart irrigation or weather monitoring. The document also lists some common IoT issues as security, privacy, interoperability, legal compliance, and economic challenges.
This document discusses various domain-specific Internet of Things (IoT) applications. It outlines IoT applications for homes, cities, the environment, energy systems, retail, logistics, industry, agriculture, and health and lifestyle. It then provides more details on specific IoT applications for homes (smart lighting, smart appliances, intrusion detection, smoke/gas detectors), cities (smart parking, smart road lighting, smart roads, structural health monitoring, surveillance, emergency response) and the environment (weather monitoring, air pollution monitoring, noise pollution monitoring, forest fire detection, river flood detection).
The document discusses the architecture of the Internet of Things (IoT). It describes the IoT as a network of physical objects embedded with sensors that can collect and exchange data. The document outlines the history and development of IoT and describes its layered architecture which includes device, network, service, and application layers. It provides examples of current and potential IoT applications in various sectors and discusses security and privacy issues regarding connected devices.
The document discusses cloud computing, including that it allows multiple users to access data through a single server without separate licenses. It describes cloud infrastructure models like full virtualization and para-virtualization. The pros of cloud computing are applications can be accessed without installation, unlimited data storage, and access from anywhere, while cons include internet outages, site access issues, and lack of secrecy. Cloud service models like SaaS, PaaS, and IaaS are also outlined.
Python programming concepts for the Internet of things applications development. This PPT contains details about classes, list , tuples, dictionaries, packages like HTTPLib,SMTPLib, etc
Cloud architectures can be thought of in layers, with each layer providing services to the next. There are three main layers: virtualization of resources, services layer, and server management processes. Virtualization abstracts hardware and provides flexibility. The services layer provides OS and application services. Management processes support service delivery through image management, deployment, scheduling, reporting, etc. When providing compute and storage services, considerations include hardware selection, virtualization, failover/redundancy, and reporting. Network services require capacity planning, redundancy, and reporting.
The document discusses different types of virtualization including hardware, network, storage, memory, software, data, and desktop virtualization. Hardware virtualization includes full, para, and partial virtualization. Network virtualization includes internal and external virtualization. Storage virtualization includes block and file virtualization. Memory virtualization enhances performance through shared, distributed, or networked memory that acts as an extension of main memory. Software virtualization allows guest operating systems to run virtually. Data virtualization manipulates data without technical details. Desktop virtualization provides remote access to work from any location for flexibility and data security.
This document discusses different distributed computing system (DCS) models:
1. The minicomputer model consists of a few minicomputers with remote access allowing resource sharing.
2. The workstation model consists of independent workstations scattered throughout a building where users log onto their home workstation.
3. The workstation-server model includes minicomputers, diskless and diskful workstations, and centralized services like databases and printing.
It provides an overview of the key characteristics and advantages of different DCS models.
This document discusses key enabling technologies for the Internet of Things (IoT). It describes wireless sensor networks that use distributed sensor nodes to monitor environmental conditions. It also discusses cloud computing which provides on-demand computing resources and services over the Internet. Additionally, it covers big data analytics which involves collecting, processing, and analyzing large, diverse datasets. Finally, it mentions communication protocols that allow devices to exchange data over networks and embedded systems which are specialized computer systems designed to perform specific tasks.
This document discusses machine-to-machine (M2M) communication and its differences from the Internet of Things (IoT). It also describes software-defined networking (SDN) and network function virtualization (NFV) and their potential applications to IoT. M2M uses local area networks with proprietary protocols while IoT connects devices globally using IP. SDN separates the control plane from the data plane to simplify network management while NFV virtualizes network functions on commodity servers.
The document provides an overview of the Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors, software and network connectivity that enables them to collect and exchange data. The document discusses what types of physical and virtual things can be connected in an IoT system and how they can collect and share data. It also examines common communication protocols used in IoT like UART, SPI, I2C and CAN that allow different devices to connect and exchange information over a network.
This document discusses emerging mobile computing technologies including Bluetooth, RFID, WiMAX, and mobile IP. It provides details on Bluetooth protocols and how Bluetooth allows wireless connections between various devices. It also describes RFID technologies including active and passive RFID tags and how RFID systems work. It outlines the IEEE 802.16 standard for WiMAX and its use for wireless broadband access. Key layers and aspects of the physical layer are summarized.
The document discusses the logical design of IoT. It describes the key logical design elements including IoT functional blocks, communication models, and communication APIs. The logical design provides an abstract representation of IoT entities and processes without implementation details. The functional blocks provide capabilities for identification, sensing, actuation, communication and management. Common communication models are request-response, publish-subscribe, push-pull and exclusive pair. REST and WebSocket are examples of IoT communication APIs.
IoT Physical Servers and Cloud Offerings.pdfGVNSK Sravya
This document provides an overview of cloud computing and its relevance to IoT. It discusses various cloud storage models and APIs that enable communication with cloud services. It introduces the WAMP protocol for building publish-subscribe and RPC-based distributed apps for IoT. The document also covers using the Xively cloud platform and Django web framework for developing IoT apps. Key topics include cloud computing concepts, types of cloud services, advantages of cloud, and getting started with Django projects, apps, databases and models.
The document provides an introduction to distributed systems, defining them as a collection of independent computers that communicate over a network to act as a single coherent system. It discusses the motivation for and characteristics of distributed systems, including concurrency, lack of a global clock, and independence of failures. Architectural categories of distributed systems include tightly coupled and loosely coupled, with examples given of different types of distributed systems such as database management systems, ATM networks, and the internet.
This document provides an overview of distributed computing. It discusses the history and introduction of distributed computing. It describes the working of distributed systems and common types like grid computing, cluster computing and cloud computing. It covers the motivations, goals, characteristics, architectures, security challenges and examples of distributed computing. Advantages include improved performance and fault tolerance, while disadvantages are security issues and lost messages.
Cloud service management tools provide visibility, control, and automation to efficiently manage cloud services across public and private implementations. They allow monitoring of cloud performance, continuity, and efficiency in virtual environments. Cloud service management also simplifies user interactions, accelerates time to value through self-service catalogs, and lowers costs by automatically allocating and de-allocating resources according to provisioning policies.
This document discusses IoT protocols for data communication and connection models. It describes the key pillars of IoT protocols as being device, connectivity, data, and analytics. It also outlines various types of IoT data protocols like AMQP, DDS, XMPP, and WebSocket that establish end-to-end communication. Additionally, it covers IoT network protocols like Bluetooth, LPWANs, ZigBee, Z-Wave and others that facilitate secured communication between IoT devices over the internet.
The document discusses cloud computing and data security. It provides an overview of cloud computing including deployment models, service models, and sub-service models. It also discusses key aspects of cloud data security such as authentication using OTP, encryption of data using strong algorithms, and ensuring data integrity through hashing. The proposed cloud data security model uses three levels of defense - strong authentication through OTP, automatic encryption of data using a fast and strong algorithm, and fast recovery of user data.
The document discusses cloud computing and data centers. It defines cloud computing as a style of computing where scalable IT capabilities are provided as an internet-based service. It describes the different cloud service models including SaaS, PaaS, and IaaS. It also discusses cloud deployment models like public, private, community and hybrid clouds. The document then explains how growing adoption of cloud computing requires large data centers to host servers. It provides details on data center network architectures, use of Ethernet, and the role data centers play in processing user requests and transactions.
Programming RPi for IoT Applications.pdfrakeshk213994
This document provides an overview and agenda for a presentation on programming the Raspberry Pi (RPi) for Internet of Things (IoT) applications using Python. The agenda includes basics of Python, RPi basics, and RPi coding. Motivations for using Python with IoT systems are its intuitive syntax, portability, extensive library support, and ability to meet end-to-end development needs for tasks like capturing sensor data, web services, and analytics. Python code examples demonstrate numbers, strings, lists, tuples, dictionaries, and control flow statements. Setup instructions for Python on Windows and Linux are also included.
This document provides an overview of key concepts in Python including:
- Python is an interpreted, interactive, object-oriented programming language suitable for cloud computing.
- It discusses Python data types like numbers, strings, lists, tuples, and dictionaries.
- Control flow statements like if/else, for, while, break, continue and functions are explained with examples.
- Core Python concepts such as modules, packages, file I/O and classes are outlined.
This document discusses various domain-specific Internet of Things (IoT) applications. It outlines IoT applications for homes, cities, the environment, energy systems, retail, logistics, industry, agriculture, and health and lifestyle. It then provides more details on specific IoT applications for homes (smart lighting, smart appliances, intrusion detection, smoke/gas detectors), cities (smart parking, smart road lighting, smart roads, structural health monitoring, surveillance, emergency response) and the environment (weather monitoring, air pollution monitoring, noise pollution monitoring, forest fire detection, river flood detection).
The document discusses the architecture of the Internet of Things (IoT). It describes the IoT as a network of physical objects embedded with sensors that can collect and exchange data. The document outlines the history and development of IoT and describes its layered architecture which includes device, network, service, and application layers. It provides examples of current and potential IoT applications in various sectors and discusses security and privacy issues regarding connected devices.
The document discusses cloud computing, including that it allows multiple users to access data through a single server without separate licenses. It describes cloud infrastructure models like full virtualization and para-virtualization. The pros of cloud computing are applications can be accessed without installation, unlimited data storage, and access from anywhere, while cons include internet outages, site access issues, and lack of secrecy. Cloud service models like SaaS, PaaS, and IaaS are also outlined.
Python programming concepts for the Internet of things applications development. This PPT contains details about classes, list , tuples, dictionaries, packages like HTTPLib,SMTPLib, etc
Cloud architectures can be thought of in layers, with each layer providing services to the next. There are three main layers: virtualization of resources, services layer, and server management processes. Virtualization abstracts hardware and provides flexibility. The services layer provides OS and application services. Management processes support service delivery through image management, deployment, scheduling, reporting, etc. When providing compute and storage services, considerations include hardware selection, virtualization, failover/redundancy, and reporting. Network services require capacity planning, redundancy, and reporting.
The document discusses different types of virtualization including hardware, network, storage, memory, software, data, and desktop virtualization. Hardware virtualization includes full, para, and partial virtualization. Network virtualization includes internal and external virtualization. Storage virtualization includes block and file virtualization. Memory virtualization enhances performance through shared, distributed, or networked memory that acts as an extension of main memory. Software virtualization allows guest operating systems to run virtually. Data virtualization manipulates data without technical details. Desktop virtualization provides remote access to work from any location for flexibility and data security.
This document discusses different distributed computing system (DCS) models:
1. The minicomputer model consists of a few minicomputers with remote access allowing resource sharing.
2. The workstation model consists of independent workstations scattered throughout a building where users log onto their home workstation.
3. The workstation-server model includes minicomputers, diskless and diskful workstations, and centralized services like databases and printing.
It provides an overview of the key characteristics and advantages of different DCS models.
This document discusses key enabling technologies for the Internet of Things (IoT). It describes wireless sensor networks that use distributed sensor nodes to monitor environmental conditions. It also discusses cloud computing which provides on-demand computing resources and services over the Internet. Additionally, it covers big data analytics which involves collecting, processing, and analyzing large, diverse datasets. Finally, it mentions communication protocols that allow devices to exchange data over networks and embedded systems which are specialized computer systems designed to perform specific tasks.
This document discusses machine-to-machine (M2M) communication and its differences from the Internet of Things (IoT). It also describes software-defined networking (SDN) and network function virtualization (NFV) and their potential applications to IoT. M2M uses local area networks with proprietary protocols while IoT connects devices globally using IP. SDN separates the control plane from the data plane to simplify network management while NFV virtualizes network functions on commodity servers.
The document provides an overview of the Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors, software and network connectivity that enables them to collect and exchange data. The document discusses what types of physical and virtual things can be connected in an IoT system and how they can collect and share data. It also examines common communication protocols used in IoT like UART, SPI, I2C and CAN that allow different devices to connect and exchange information over a network.
This document discusses emerging mobile computing technologies including Bluetooth, RFID, WiMAX, and mobile IP. It provides details on Bluetooth protocols and how Bluetooth allows wireless connections between various devices. It also describes RFID technologies including active and passive RFID tags and how RFID systems work. It outlines the IEEE 802.16 standard for WiMAX and its use for wireless broadband access. Key layers and aspects of the physical layer are summarized.
The document discusses the logical design of IoT. It describes the key logical design elements including IoT functional blocks, communication models, and communication APIs. The logical design provides an abstract representation of IoT entities and processes without implementation details. The functional blocks provide capabilities for identification, sensing, actuation, communication and management. Common communication models are request-response, publish-subscribe, push-pull and exclusive pair. REST and WebSocket are examples of IoT communication APIs.
IoT Physical Servers and Cloud Offerings.pdfGVNSK Sravya
This document provides an overview of cloud computing and its relevance to IoT. It discusses various cloud storage models and APIs that enable communication with cloud services. It introduces the WAMP protocol for building publish-subscribe and RPC-based distributed apps for IoT. The document also covers using the Xively cloud platform and Django web framework for developing IoT apps. Key topics include cloud computing concepts, types of cloud services, advantages of cloud, and getting started with Django projects, apps, databases and models.
The document provides an introduction to distributed systems, defining them as a collection of independent computers that communicate over a network to act as a single coherent system. It discusses the motivation for and characteristics of distributed systems, including concurrency, lack of a global clock, and independence of failures. Architectural categories of distributed systems include tightly coupled and loosely coupled, with examples given of different types of distributed systems such as database management systems, ATM networks, and the internet.
This document provides an overview of distributed computing. It discusses the history and introduction of distributed computing. It describes the working of distributed systems and common types like grid computing, cluster computing and cloud computing. It covers the motivations, goals, characteristics, architectures, security challenges and examples of distributed computing. Advantages include improved performance and fault tolerance, while disadvantages are security issues and lost messages.
Cloud service management tools provide visibility, control, and automation to efficiently manage cloud services across public and private implementations. They allow monitoring of cloud performance, continuity, and efficiency in virtual environments. Cloud service management also simplifies user interactions, accelerates time to value through self-service catalogs, and lowers costs by automatically allocating and de-allocating resources according to provisioning policies.
This document discusses IoT protocols for data communication and connection models. It describes the key pillars of IoT protocols as being device, connectivity, data, and analytics. It also outlines various types of IoT data protocols like AMQP, DDS, XMPP, and WebSocket that establish end-to-end communication. Additionally, it covers IoT network protocols like Bluetooth, LPWANs, ZigBee, Z-Wave and others that facilitate secured communication between IoT devices over the internet.
The document discusses cloud computing and data security. It provides an overview of cloud computing including deployment models, service models, and sub-service models. It also discusses key aspects of cloud data security such as authentication using OTP, encryption of data using strong algorithms, and ensuring data integrity through hashing. The proposed cloud data security model uses three levels of defense - strong authentication through OTP, automatic encryption of data using a fast and strong algorithm, and fast recovery of user data.
The document discusses cloud computing and data centers. It defines cloud computing as a style of computing where scalable IT capabilities are provided as an internet-based service. It describes the different cloud service models including SaaS, PaaS, and IaaS. It also discusses cloud deployment models like public, private, community and hybrid clouds. The document then explains how growing adoption of cloud computing requires large data centers to host servers. It provides details on data center network architectures, use of Ethernet, and the role data centers play in processing user requests and transactions.
Programming RPi for IoT Applications.pdfrakeshk213994
This document provides an overview and agenda for a presentation on programming the Raspberry Pi (RPi) for Internet of Things (IoT) applications using Python. The agenda includes basics of Python, RPi basics, and RPi coding. Motivations for using Python with IoT systems are its intuitive syntax, portability, extensive library support, and ability to meet end-to-end development needs for tasks like capturing sensor data, web services, and analytics. Python code examples demonstrate numbers, strings, lists, tuples, dictionaries, and control flow statements. Setup instructions for Python on Windows and Linux are also included.
This document provides an overview of key concepts in Python including:
- Python is an interpreted, interactive, object-oriented programming language suitable for cloud computing.
- It discusses Python data types like numbers, strings, lists, tuples, and dictionaries.
- Control flow statements like if/else, for, while, break, continue and functions are explained with examples.
- Core Python concepts such as modules, packages, file I/O and classes are outlined.
BUILDING IoT WITH ARDUINO &RASPBERRY PI
Building IOT with Arduino- Building IOT with RASPERRY PI- IoT Systems - Logical Design
using Python – IoT Physical Devices & Endpoints - IoT Device -Building blocks - Pi - Raspberry
Pi Interfaces - Case study:Smart Home & Smart Industry.
Python is a general purpose programming language that can be used for both programming and scripting. It was created in the 1990s by Guido van Rossum. Python is an interpreted language that is free, powerful, and portable. It can be used for tasks like web development, data analysis, and system scripting. The document provides an overview of Python including its history, uses, data types like strings and lists, and basic programming concepts like variables, conditionals, and loops. It recommends Python as a principal teaching language due to its free and easy installation, flexibility, use in academia and industry, and ability to offer a more rapid and enjoyable learning experience for students.
This document provides information about Jupyter Notebook, including:
- Jupyter Notebook is an open-source web application for creating and sharing documents containing live code, equations, visualizations, and narrative text.
- It works locally on localhost port 8888 and the easiest way to install it is through Anaconda which includes Jupyter Notebook and popular Python libraries.
- Notebooks use kernels to run code in different programming languages, with IPython being the default Python kernel.
This document provides an overview of the Python programming language. It begins by explaining what Python is, noting that it is a general purpose programming language that is often used for scripting. The key differences between program and scripting languages are then outlined. The history and creation of Python by Guido van Rossum are summarized, along with Python's scope in fields like science, system administration, and web development. Various uses of Python are listed, followed by who commonly uses Python today such as Google and YouTube. Reasons for Python's popularity include being free, powerful, and portable. The document concludes by covering installing Python, running and executing Python code, and some basic Python concepts like strings, variables, data types, and loops/
This document provides an overview of Python basics presented by Ravi Rajput. It introduces Python's core features like data types, operators, conditional statements, loops, functions, files handling and exceptions. It also lists some tutorials and resources for learning Python including Tutorial Points, Violent Python and Learn Python. The document contains code examples to demonstrate various Python concepts.
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This document provides an overview of the Python programming language. It begins by explaining what Python is - a general purpose, interpreted programming language that can be used as both a programming and scripting language. It then discusses the differences between programs and scripting languages. The history and creator of Python, Guido van Rossum, are outlined. The document explores the scope of Python and what tasks it can be used for. Popular companies and industries that use Python today are listed. Reasons why people use Python, such as it being free, powerful, and portable, are provided. Instructions for installing Python and running Python code are included. The document covers Python code execution and introduces basic Python concepts like variables, strings, data types, lists
Python is a general purpose programming language that can be used for web development, system administration, science and more. It is interpreted rather than compiled, and was created in the 1990s by Guido van Rossum to be highly readable. Python is widely used by companies like Google, YouTube, Intel and more due to its power, flexibility and readability. It supports key programming concepts like variables, conditionals, loops, lists, tuples and more.
This document provides an introduction to Python programming. It discusses that Python is an interpreted, object-oriented, high-level programming language with simple syntax. It then covers the need for programming languages, different types of languages, and translators like compilers, interpreters, assemblers, linkers, and loaders. The document concludes by discussing why Python is popular for web development, software development, data science, and more.
This document provides an introduction to Python programming language. It discusses what Python is, its features, applications, and how it compares to compiled languages in terms of compiling versus interpreting. It also covers installing Python, different Python environments like the Python shell, IDLE, Jupyter Notebook, and Anaconda. Basic Python concepts like variables, data types, operators, functions, modules, and math module commands are explained. The reader is instructed to install NumPy and SciPy using conda for the next lab and test the installations.
This document provides an overview of the Python programming language. It discusses Python's history and features, advantages for programming, common applications, development tools, and instructions for installing Python on different operating systems like Windows, Linux, and MacOS. The outline also introduces key Python concepts like syntax, identifiers, variables, string formatters, comments, and data types that will be covered in more detail later.
The document provides an introduction to Python programming, including details about Python's history, versions, data types, strings, and code execution. It discusses how to install Python and write basic programs. Key reasons for using Python are its object-oriented nature, readability, large standard library, cross-platform capabilities, and ease of use. The document also covers string methods and slicing, numeric data types, installing Python, and running code in interactive and script modes.
This document provides an introduction to Python programming. It discusses the history and origins of Python, its key features and applications. Some of the main points covered include:
- Python was created in the late 1980s by Guido van Rossum and takes influence from other languages like ABC, Modula-3, C, C++ and Unix shell scripts.
- Python is an interpreted, object-oriented scripting language that is designed to be highly readable. It has applications in systems programming, GUIs, web development, data analysis, scientific computing and more.
- The document outlines Python's technical strengths like being free, portable, powerful, easy to use and learn. It also covers basics like variables,
This document provides an introduction to the Python programming language. It discusses why Python is used, what Python can be used for, its technical strengths, and its few downsides. It also provides instructions on installing Python and running a simple "Hello World" program. The key points are that Python is readable, maintainable, and has a small code size; it can be used for systems programming, GUIs, scripting, databases, and more; and its main downside is potential slower execution speed compared to compiled languages like C and C++.
This tutorial provides an introduction to the Python programming language. It will cover Python's core features like syntax, data types, operators, conditional and loop execution, functions, modules and packages to enable writing basic programs. The tutorial is intended for learners to learn Python together through questions, discussions and pointing out mistakes.
Python is a popular programming language created by Guido van Rossum in 1991. It is easy to use, powerful, and versatile, making it suitable for beginners and experts alike. Python code can be written and executed in the browser using Google Colab, which provides a Jupyter notebook environment and access to computing resources like GPUs. The document then discusses installing Python using Anaconda, basic Python concepts like indentation, variables, strings, conditionals, and loops.
This document outlines the key terms of an agreement between John Doe and ABC Company to provide consulting services. John Doe will be an independent contractor and provide services including market research, competitor analysis, and strategic planning. In exchange, ABC Company will pay John Doe $100 per hour for up to 20 hours of work per week over a 6 month period.
This document provides an overview of Hadoop and its ecosystem. It describes the key components of Hadoop including HDFS, MapReduce, YARN and various schedulers. It explains the architecture and functions of HDFS, MapReduce and YARN. It also summarizes the different schedulers in Hadoop including FIFO, Fair and Capacity schedulers.
This chapter discusses various Python tools and cloud offerings for IoT applications. It provides examples of using the Python boto library to interface with Amazon Web Services like EC2, AutoScaling, S3, RDS, DynamoDB. It also discusses using Python for MapReduce programming and introduces web frameworks like Django. Python packages for JSON, XML, HTTP, email and machine learning are also covered. The chapter concludes with pointers to further reading on Python cloud libraries and services.
This document discusses Internet of Things (IoT) physical devices and endpoints. It begins by defining IoT devices as objects connected to the Internet that can send and receive data. Basic components of an IoT device are then outlined, including sensing, actuation, communication, and data processing. The Raspberry Pi is presented as an exemplary IoT device, noting its low cost, credit card size, Linux operating system, and interfaces for connecting sensors and actuators. Programming the Raspberry Pi using Python is also mentioned. Finally, some other examples of IoT devices are listed.
The document outlines a 10-step IoT design methodology that includes purpose and requirements specification, process specification, domain modeling, information modeling, service specifications, IoT level specification, functional view specification, operational view specification, device and component integration, and application development. It then provides an example application of this methodology to design a smart home automation system for controlling lights remotely. The example walks through each step for specifying the purpose, domain model, information model, services, functional views, and developing the application and native controller components.
This chapter discusses systems management for IoT and introduces NETCONF and YANG as solutions. It notes the need for automated configuration, monitoring, reliability and reusable configurations for IoT systems management. It describes SNMP and its limitations. NETCONF is introduced as a session-based network management protocol using XML and YANG for data modeling. YANG is used to model configuration and state data for NETCONF. The chapter provides an example YANG module and discusses using NETCONF and YANG for IoT systems management.
The document summarizes key concepts from the first chapter of a book on IoT. It defines IoT, outlines its characteristics and components. These include the physical design of IoT devices and their logical design involving identification, sensing, communication and management. It also describes various communication models and levels of IoT systems from single to multiple interconnected devices with local and cloud-based storage, analysis and applications.
Tesla's strategy is outlined in the document. They plan to first develop a high-end sports car to prove electric vehicles can be stylish and efficient. Next, they will introduce a premium sedan to compete with BMW, Mercedes, and Audi. Their final goal is to produce hundreds of thousands of lower cost electric vehicles for mass adoption. For sales, Tesla focuses on monthly payments rather than price, makes test drives easy, and stands behind the product with good warranties and service. Their strategy aims to use an initial sports car to gain patents and then scale production of affordable electric vehicles for widespread adoption.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.