This document provides an introduction and overview of the Python programming language. It outlines the key topics that will be covered in a Python tutorial, including basic data types, variables, control structures, functions, classes and objects, modules and packages, exceptions, files and the standard library. The document also gives brief descriptions of new features introduced in Python versions 2.0 and 2.1.
This document provides an introduction and overview of the Python programming language. It outlines the key topics that will be covered in the tutorial, including basic data types, variables, control structures, functions, classes, modules, exceptions, and the standard library. The presentation encourages attendees to follow along by downloading and using Python on their laptops. It also demonstrates some basic Python concepts through examples in the interactive shell.
The document provides an introduction and overview of the Python programming language. It outlines that the tutorial will cover Python's interactive shell, basic data types like numbers and strings, container types like lists and dictionaries, variables, control structures, functions, classes, modules, exceptions, files and the standard library. It encourages attendees to try out Python on their laptops during the session.
This document provides an overview of the Python programming language. It begins with an introduction to why Python is a good choice. It then outlines a tutorial on Python's basic types like numbers, strings, lists, dictionaries, variables, control structures, functions, classes, modules, exceptions, and files. It encourages downloading the latest Python version and using the interactive shell or IDLE to experiment. The bulk of the document then provides details on Python's core concepts like numbers, strings, lists, dictionaries, tuples, variables, control structures, functions, classes, modules, exceptions, and files. It concludes by discussing new features in Python 2.0 and 2.1.
An introduction to the elixir language and the otp framework. A workshop was done and the code can be found here: https://github.com/mendrugory/elixir_and_otp_apps_presentation_1
This document discusses Python and web frameworks. It begins with an introduction to Python and its advantages for web development. It then discusses several popular Python web frameworks including web.py, Flask, and Django. It also covers related topics like WSGI, templating with Jinja2, asynchronous programming, and deployment with virtualenv.
This document provides an introduction and overview of the Python programming language. It discusses Python's origins and philosophy of being coherent, powerful, and easy to read and maintain. Key features of Python mentioned include rapid development, object orientation, embedding in C, dynamic typing, exceptions, and built-in interfaces to external services. The document also outlines some common uses of Python and examples of basic Python code structure, variables, operations, control flow, functions, and data types like lists, tuples, and dictionaries.
An object oriented concept in python is detailed for the students or anyone who aspire to learn more powerful concept that helps in developing software or any web development to the persons who work in a tech filed
This document provides an introduction and overview of the Python programming language. It outlines the key topics that will be covered in the tutorial, including basic data types, variables, control structures, functions, classes, modules, exceptions, and the standard library. The presentation encourages attendees to follow along by downloading and using Python on their laptops. It also demonstrates some basic Python concepts through examples in the interactive shell.
The document provides an introduction and overview of the Python programming language. It outlines that the tutorial will cover Python's interactive shell, basic data types like numbers and strings, container types like lists and dictionaries, variables, control structures, functions, classes, modules, exceptions, files and the standard library. It encourages attendees to try out Python on their laptops during the session.
This document provides an overview of the Python programming language. It begins with an introduction to why Python is a good choice. It then outlines a tutorial on Python's basic types like numbers, strings, lists, dictionaries, variables, control structures, functions, classes, modules, exceptions, and files. It encourages downloading the latest Python version and using the interactive shell or IDLE to experiment. The bulk of the document then provides details on Python's core concepts like numbers, strings, lists, dictionaries, tuples, variables, control structures, functions, classes, modules, exceptions, and files. It concludes by discussing new features in Python 2.0 and 2.1.
An introduction to the elixir language and the otp framework. A workshop was done and the code can be found here: https://github.com/mendrugory/elixir_and_otp_apps_presentation_1
This document discusses Python and web frameworks. It begins with an introduction to Python and its advantages for web development. It then discusses several popular Python web frameworks including web.py, Flask, and Django. It also covers related topics like WSGI, templating with Jinja2, asynchronous programming, and deployment with virtualenv.
This document provides an introduction and overview of the Python programming language. It discusses Python's origins and philosophy of being coherent, powerful, and easy to read and maintain. Key features of Python mentioned include rapid development, object orientation, embedding in C, dynamic typing, exceptions, and built-in interfaces to external services. The document also outlines some common uses of Python and examples of basic Python code structure, variables, operations, control flow, functions, and data types like lists, tuples, and dictionaries.
An object oriented concept in python is detailed for the students or anyone who aspire to learn more powerful concept that helps in developing software or any web development to the persons who work in a tech filed
This document discusses classes and objects in Python. It introduces defining a class with fields and methods, using a class by creating objects and calling methods, constructors, the __init__ method, the __str__ method for string representation, operator overloading, inheritance between classes, and calling superclass methods from a subclass. Examples of a Point class are provided throughout to demonstrate various object-oriented programming concepts in Python.
This document discusses classes and objects in Python. It introduces defining a class with fields and methods, using a class by creating objects and calling methods, constructors, the self parameter, overriding methods like __str__ and adding operator overloading. It also covers inheritance, calling superclass methods, and generating exceptions. The document uses the Point class as a running example and includes exercises to write methods for it.
This document provides an overview of the Python programming language. It begins with an introduction to running Python code and output. It then covers Python's basic data types like integers, floats, strings, lists, tuples and dictionaries. The document explains input and file I/O in Python as well as common control structures like if/else statements, while loops and for loops. It also discusses functions as first-class objects in Python that can be defined and passed as parameters. The document provides examples of higher-order functions like map, filter and reduce. Finally, it notes that functions can be defined inside other functions in Python.
This document provides an overview of the Python programming language. It discusses Python's history and origins, philosophy of being readable and powerful, features like dynamic typing and automatic memory management, uses for shell tools, prototyping, GUIs and more. It also covers Python syntax, modules, functions, control flow, objects and data types like lists, dictionaries and tuples.
Python advanced 3.the python std lib by example – system related modulesJohn(Qiang) Zhang
The document provides an overview of several Python standard library modules for working with dates, times, files, directories, and system-related tasks. It describes the time and datetime modules for manipulating dates and times. The os, glob, shutil, and tempfile modules are covered for performing file system operations like opening, reading, writing, copying, and deleting files and directories. The sys module is also summarized for working with command line arguments, modules, and standard input/output streams.
Elixir is a functional programming language that is well-suited for building scalable and fault-tolerant applications. The document provides an introduction to Elixir by discussing its roots in Erlang and how it builds upon Erlang's strengths like concurrency, distribution, and fault tolerance. It also demonstrates some basic Elixir concepts like functions, pattern matching, recursion, and the BEAM virtual machine. Finally, it provides examples of real-world applications of Elixir like building Phoenix web applications and developing embedded hardware projects with Nerves.
Python's "batteries included" philosophy means that it comes with an astonishing amount of great stuff. On top of that, there's a vibrant world of third-party libraries that help make Python even more wonderful. We'll go on a breezy, example-filled tour through some of my favorites, from treasures in the standard library to great third-party packages that I don't think I could live without, and we'll touch on some of the fuzzier aspects of the Python culture that make it such a joy to be part of.
This document provides an overview of the Python programming language. It discusses that Python is a popular, object-oriented scripting language that emphasizes code readability. The document summarizes key Python features such as rapid development, automatic memory management, object-oriented programming, and embedding/extending with C. It also outlines common uses of Python and when it may not be suitable.
This document provides an introduction to the Python programming language. It covers basic Python concepts like data types, strings, data structures, classes, methods, exceptions, iterations, generators, and scopes. Python is described as an easy to learn, read, and use dynamic language with a large selection of stable libraries. It is presented as being much easier than bash scripts for building and maintaining complex system infrastructure.
"JavaScript in 2016" by Eduard Tomàs
Some years ago in a far far away company, Brendan Eich created JavaScript. A lot of things happened since then. Times changed, the web grown, the language itself was updated, and we as a developers need to adapt too. Last year the last standard of the language arose: ECMAScript 2015 is here, and has some new and interesting features. In this talk we will show the most relevant ones, and also we will introduce some interesting patterns that you can use in JavaScript: you'll learn how to master the language and made JavaScript your best ally to conquest the world!
The document summarizes new features in Ruby 2, including lazy enumerators that allow infinite enumerations to be cut off, the Module#prepend method that puts modules before classes in the method lookup path, String methods like #bytes now returning arrays instead of enumerators, keyword arguments that allow default parameters, and various other minor changes.
This document discusses non-local neural networks, which use non-local operations to capture long-range dependencies in data. The non-local operation computes the response at a position as a weighted sum of the features at all positions. Adding non-local blocks to existing models leads to improved performance on video classification tasks without increasing parameters or FLOPs significantly. Experimental results show that non-local operations are complementary to 3D convolutions and help models better capture long-range dependencies in space and time.
Ralph Schindler (of Zend Framework) and Jon Wage (of Doctrine) presented these slides for a webinar hosted by zend.com (webinar available online).
Links are contained within the slides to the demo application that was also used during the webinar.
Stefan Kanev: Clojure, ClojureScript and Why They're Awesome at I T.A.K.E. Un...Mozaic Works
This document summarizes a presentation about Clojure and ClojureScript. It describes Clojure as a modern Lisp dialect that runs on the JVM with a focus on concurrency. It notes advantages like stable platforms, access to Java libraries, and immutable persistent data structures that facilitate parallelism. The document discusses Clojure concepts like homoiconicity, concurrency vs parallelism, syntax using s-expressions, macros for metaprogramming, and data structures like maps, vectors, and sets. It also mentions ClojureScript and domain-specific languages.
This document provides an overview of the Python programming language. It discusses Python's origins, philosophy, features, and uses. Key points include that Python is an interpreted, object-oriented scripting language designed for readability and rapid development. It has automatic memory management, high-level data types, and built-in interfaces for tasks like GUI development. The document also covers Python programming basics like modules, functions, control flow, and data structures like lists, tuples, and dictionaries.
The document provides an introduction to Python including:
- Starting the Python interpreter and basic calculations
- Variables, expressions, statements, functions, modules, comments
- Strings, lists, tuples, dictionaries
- Common list, string, and dictionary methods
It covers the basic Python syntax and many common data structures and their associated methods in less than 3 sentences.
The document provides an introduction to Python including:
- Starting the Python interpreter and basic calculations
- Variables, expressions, statements, functions, modules, comments
- Strings, lists, tuples, dictionaries
- Common list, string, and dictionary methods
It covers the basic Python syntax and many common data structures and their associated methods in less than 3 sentences.
This document discusses classes and objects in Python. It introduces defining a class with fields and methods, using a class by creating objects and calling methods, constructors, the __init__ method, the __str__ method for string representation, operator overloading, inheritance between classes, and calling superclass methods from a subclass. Examples of a Point class are provided throughout to demonstrate various object-oriented programming concepts in Python.
This document discusses classes and objects in Python. It introduces defining a class with fields and methods, using a class by creating objects and calling methods, constructors, the self parameter, overriding methods like __str__ and adding operator overloading. It also covers inheritance, calling superclass methods, and generating exceptions. The document uses the Point class as a running example and includes exercises to write methods for it.
This document provides an overview of the Python programming language. It begins with an introduction to running Python code and output. It then covers Python's basic data types like integers, floats, strings, lists, tuples and dictionaries. The document explains input and file I/O in Python as well as common control structures like if/else statements, while loops and for loops. It also discusses functions as first-class objects in Python that can be defined and passed as parameters. The document provides examples of higher-order functions like map, filter and reduce. Finally, it notes that functions can be defined inside other functions in Python.
This document provides an overview of the Python programming language. It discusses Python's history and origins, philosophy of being readable and powerful, features like dynamic typing and automatic memory management, uses for shell tools, prototyping, GUIs and more. It also covers Python syntax, modules, functions, control flow, objects and data types like lists, dictionaries and tuples.
Python advanced 3.the python std lib by example – system related modulesJohn(Qiang) Zhang
The document provides an overview of several Python standard library modules for working with dates, times, files, directories, and system-related tasks. It describes the time and datetime modules for manipulating dates and times. The os, glob, shutil, and tempfile modules are covered for performing file system operations like opening, reading, writing, copying, and deleting files and directories. The sys module is also summarized for working with command line arguments, modules, and standard input/output streams.
Elixir is a functional programming language that is well-suited for building scalable and fault-tolerant applications. The document provides an introduction to Elixir by discussing its roots in Erlang and how it builds upon Erlang's strengths like concurrency, distribution, and fault tolerance. It also demonstrates some basic Elixir concepts like functions, pattern matching, recursion, and the BEAM virtual machine. Finally, it provides examples of real-world applications of Elixir like building Phoenix web applications and developing embedded hardware projects with Nerves.
Python's "batteries included" philosophy means that it comes with an astonishing amount of great stuff. On top of that, there's a vibrant world of third-party libraries that help make Python even more wonderful. We'll go on a breezy, example-filled tour through some of my favorites, from treasures in the standard library to great third-party packages that I don't think I could live without, and we'll touch on some of the fuzzier aspects of the Python culture that make it such a joy to be part of.
This document provides an overview of the Python programming language. It discusses that Python is a popular, object-oriented scripting language that emphasizes code readability. The document summarizes key Python features such as rapid development, automatic memory management, object-oriented programming, and embedding/extending with C. It also outlines common uses of Python and when it may not be suitable.
This document provides an introduction to the Python programming language. It covers basic Python concepts like data types, strings, data structures, classes, methods, exceptions, iterations, generators, and scopes. Python is described as an easy to learn, read, and use dynamic language with a large selection of stable libraries. It is presented as being much easier than bash scripts for building and maintaining complex system infrastructure.
"JavaScript in 2016" by Eduard Tomàs
Some years ago in a far far away company, Brendan Eich created JavaScript. A lot of things happened since then. Times changed, the web grown, the language itself was updated, and we as a developers need to adapt too. Last year the last standard of the language arose: ECMAScript 2015 is here, and has some new and interesting features. In this talk we will show the most relevant ones, and also we will introduce some interesting patterns that you can use in JavaScript: you'll learn how to master the language and made JavaScript your best ally to conquest the world!
The document summarizes new features in Ruby 2, including lazy enumerators that allow infinite enumerations to be cut off, the Module#prepend method that puts modules before classes in the method lookup path, String methods like #bytes now returning arrays instead of enumerators, keyword arguments that allow default parameters, and various other minor changes.
This document discusses non-local neural networks, which use non-local operations to capture long-range dependencies in data. The non-local operation computes the response at a position as a weighted sum of the features at all positions. Adding non-local blocks to existing models leads to improved performance on video classification tasks without increasing parameters or FLOPs significantly. Experimental results show that non-local operations are complementary to 3D convolutions and help models better capture long-range dependencies in space and time.
Ralph Schindler (of Zend Framework) and Jon Wage (of Doctrine) presented these slides for a webinar hosted by zend.com (webinar available online).
Links are contained within the slides to the demo application that was also used during the webinar.
Stefan Kanev: Clojure, ClojureScript and Why They're Awesome at I T.A.K.E. Un...Mozaic Works
This document summarizes a presentation about Clojure and ClojureScript. It describes Clojure as a modern Lisp dialect that runs on the JVM with a focus on concurrency. It notes advantages like stable platforms, access to Java libraries, and immutable persistent data structures that facilitate parallelism. The document discusses Clojure concepts like homoiconicity, concurrency vs parallelism, syntax using s-expressions, macros for metaprogramming, and data structures like maps, vectors, and sets. It also mentions ClojureScript and domain-specific languages.
This document provides an overview of the Python programming language. It discusses Python's origins, philosophy, features, and uses. Key points include that Python is an interpreted, object-oriented scripting language designed for readability and rapid development. It has automatic memory management, high-level data types, and built-in interfaces for tasks like GUI development. The document also covers Python programming basics like modules, functions, control flow, and data structures like lists, tuples, and dictionaries.
The document provides an introduction to Python including:
- Starting the Python interpreter and basic calculations
- Variables, expressions, statements, functions, modules, comments
- Strings, lists, tuples, dictionaries
- Common list, string, and dictionary methods
It covers the basic Python syntax and many common data structures and their associated methods in less than 3 sentences.
The document provides an introduction to Python including:
- Starting the Python interpreter and basic calculations
- Variables, expressions, statements, functions, modules, comments
- Strings, lists, tuples, dictionaries
- Common list, string, and dictionary methods
It covers the basic Python syntax and many common data structures and their associated methods in less than 3 sentences.
Khushi Saini, An Intern from The Sparks Foundationkhushisaini0924
This is my first task as an Talent Acquisition(Human resources) Intern in The Sparks Foundation on Recruitment, article and posts.
I invitr everyone to look into my work and provide me a quick feedback.
LinkedIn Strategic Guidelines for June 2024Bruce Bennett
LinkedIn is a powerful tool for networking, researching, and marketing yourself to clients and employers. This session teaches strategic practices for building your LinkedIn internet presence and marketing yourself. The use of # and @ symbols is covered as well as going mobile with the LinkedIn app.
Parabolic antenna alignment system with Real-Time Angle Position FeedbackStevenPatrick17
Introduction
Parabolic antennas are a crucial component in many communication systems, including satellite communications, radio telescopes, and television broadcasting. Ensuring these antennas are properly aligned is vital for optimal performance and signal strength. A parabolic antenna alignment system, equipped with real-time angle position feedback and fault tracking, is designed to address this need. This document delves into the components, design, and implementation of such a system, highlighting its significance and applications.
Importance of Parabolic Antenna Alignment
The alignment of a parabolic antenna directly affects its performance. Even minor misalignments can lead to significant signal loss, which can degrade the quality of the received signal or cause communication failures. Proper alignment ensures that the antenna's focal point is accurately directed toward the signal source, maximizing the antenna's gain and efficiency. This precision is especially crucial in applications like satellite communications, where the antenna must track geostationary satellites with high accuracy.
Components of a Parabolic Antenna Alignment System
A parabolic antenna alignment system typically includes the following components:
Parabolic Dish: The primary reflector that collects and focuses incoming signals.
Feedhorn and Low Noise Block (LNB): Positioned at the dish's focal point to receive signals.
Stepper or Servo Motors: Adjust the azimuth (horizontal) and elevation (vertical) angles of the antenna.
Microcontroller (e.g., Arduino, Raspberry Pi): Processes sensor data and controls the motors.
Potentiometers: Provide feedback on the antenna's current angle positions.
Fault Detection Sensors: Monitor for potential faults such as cable discontinuities or LNB failures.
Control Software: Runs on the microcontroller, handling real-time processing and decision-making.
Real-Time Angle Position Feedback
Real-time feedback on the antenna's angle position is essential for maintaining precise alignment. This feedback is typically provided by potentiometers or rotary encoders, which continuously monitor the azimuth and elevation angles. The microcontroller reads this data and adjusts the motors accordingly to keep the antenna aligned with the signal source.
Fault Tracking in Antenna Alignment Systems
Fault tracking is vital for the reliability and performance of the antenna system. Common faults include cable discontinuities, LNB malfunctions, and motor failures. Sensors integrated into the system can detect these faults and either notify the user or initiate corrective actions automatically.
Design and Implementation
1. Parabolic Dish and Feedhorn
The parabolic dish is designed to reflect incoming signals to a focal point where the feedhorn and LNB are located. The dish's size and shape depend on the specific application and frequency range.
2. Motors and Position Control
Stepper motors or servo motors are used to control the azimuth and elevation of
PAC_Orientation_Package.ppt Post abortion care Post abortion care Post a...
Python_2023.pptx
1. Introduction to Python
LinuxWorld - New York City - January 2002
Guido van Rossum
Director of PythonLabs at Zope Corporation
guido@python.org
guido@zope.com