Miriah Peterson shares her experience transitioning from Go to Rust as a data engineer, discussing common tooling between the languages like documentation and package management, highlighting key differences in types and syntax, and concluding that while Go remains best for some projects, Rust is an amazing language with advantages for certain types of development.
C was developed by Dennis Ritchie in 1972 and is a procedural programming language that is the predecessor to many popular languages today like C++, C#, and Java. C code is run using software like Turbo C or Borland C and uses file extensions like .c to indicate the language. A simple C program uses #include to access library functions like printf and outputs "Hello world".
Life after Matplotlib: Harder, Better, Faster, Stronger by Kayla LacovinoPyData
This document introduces AvoPlot, a graphical frontend for matplotlib that aims to make data visualization easier for scientists. AvoPlot allows graphical import of common data formats, basic data processing, and a drag-and-drop replacement for matplotlib's plotting interface. Plugins can be created to add new data types and processing tools. The document provides background on issues with existing tools, outlines AvoPlot's design and goals, and demonstrates its scripting interface and use of plugins through an example FTIR plugin. It concludes by inviting more developers to contribute to the open source project.
Trying to answer the most popular question "How to be a Python Developer"
This was not an easy question to be answered, so I managed to prepare this presentation with another video on YouTube:
English Video: http://bit.ly/2mTR983
Arabic Video: http://bit.ly/2mQU0Pq
Spelunking through JPEG with Racket (Sixth RacketCon)Igalia
By Andy Wingo.
JPEG is a funny thing. Photos are our lives and our memories, our first steps and our friends, and yet how much do we know about how they work? This talk explores the JPEG format in a graphical way, using a Racket library to dissect, reconstruct, encode, and decode JPEG files.
This library was first written for Guile but then ported to Racket as an exercise. Along the way in the talk we can mention things that we really enjoy about Racket and other points of interest.
(c) Sixth RacketCon
18 Sept 2016
https://con.racket-lang.org/2016
The document outlines principles for writing good code, including making code readable, avoiding repeated code through abstraction and functions, using precise and consistent naming, minimizing comments, and thoroughly testing code. It discusses techniques like abstraction to enhance readability, avoiding nested if/else statements, using meaningful #defines instead of raw values, and refactoring repeated patterns into reusable functions. The goal is to produce code that is easy to read, modify, extend, and debug.
Introduction to Named Entity RecognitionTomer Lieber
Named Entity Recognition (NER) is a common task in Natural Language Processing that aims to find and classify named entities in text, such as person names, organizations, and locations, into predefined categories. NER can be used for applications like machine translation, information retrieval, and question answering. Traditional approaches to NER involve feature extraction and training statistical or machine learning models on features, while current state-of-the-art methods use deep learning models like LSTMs combined with word embeddings. NER performance is typically evaluated using the F1 score, which balances precision and recall of named entity detection.
Java and Data Structure (April - 2015) [Revised Course | Question Paper]Mumbai B.Sc.IT Study
This is a Question Papers of Mumbai University for B.Sc.IT Student of Semester - IV [Java and Data Structure] (Revised Course). [Year - April / 2015] . . . Solution Set of this Paper is Coming soon . . .
Miriah Peterson shares her experience transitioning from Go to Rust as a data engineer, discussing common tooling between the languages like documentation and package management, highlighting key differences in types and syntax, and concluding that while Go remains best for some projects, Rust is an amazing language with advantages for certain types of development.
C was developed by Dennis Ritchie in 1972 and is a procedural programming language that is the predecessor to many popular languages today like C++, C#, and Java. C code is run using software like Turbo C or Borland C and uses file extensions like .c to indicate the language. A simple C program uses #include to access library functions like printf and outputs "Hello world".
Life after Matplotlib: Harder, Better, Faster, Stronger by Kayla LacovinoPyData
This document introduces AvoPlot, a graphical frontend for matplotlib that aims to make data visualization easier for scientists. AvoPlot allows graphical import of common data formats, basic data processing, and a drag-and-drop replacement for matplotlib's plotting interface. Plugins can be created to add new data types and processing tools. The document provides background on issues with existing tools, outlines AvoPlot's design and goals, and demonstrates its scripting interface and use of plugins through an example FTIR plugin. It concludes by inviting more developers to contribute to the open source project.
Trying to answer the most popular question "How to be a Python Developer"
This was not an easy question to be answered, so I managed to prepare this presentation with another video on YouTube:
English Video: http://bit.ly/2mTR983
Arabic Video: http://bit.ly/2mQU0Pq
Spelunking through JPEG with Racket (Sixth RacketCon)Igalia
By Andy Wingo.
JPEG is a funny thing. Photos are our lives and our memories, our first steps and our friends, and yet how much do we know about how they work? This talk explores the JPEG format in a graphical way, using a Racket library to dissect, reconstruct, encode, and decode JPEG files.
This library was first written for Guile but then ported to Racket as an exercise. Along the way in the talk we can mention things that we really enjoy about Racket and other points of interest.
(c) Sixth RacketCon
18 Sept 2016
https://con.racket-lang.org/2016
The document outlines principles for writing good code, including making code readable, avoiding repeated code through abstraction and functions, using precise and consistent naming, minimizing comments, and thoroughly testing code. It discusses techniques like abstraction to enhance readability, avoiding nested if/else statements, using meaningful #defines instead of raw values, and refactoring repeated patterns into reusable functions. The goal is to produce code that is easy to read, modify, extend, and debug.
Introduction to Named Entity RecognitionTomer Lieber
Named Entity Recognition (NER) is a common task in Natural Language Processing that aims to find and classify named entities in text, such as person names, organizations, and locations, into predefined categories. NER can be used for applications like machine translation, information retrieval, and question answering. Traditional approaches to NER involve feature extraction and training statistical or machine learning models on features, while current state-of-the-art methods use deep learning models like LSTMs combined with word embeddings. NER performance is typically evaluated using the F1 score, which balances precision and recall of named entity detection.
Java and Data Structure (April - 2015) [Revised Course | Question Paper]Mumbai B.Sc.IT Study
This is a Question Papers of Mumbai University for B.Sc.IT Student of Semester - IV [Java and Data Structure] (Revised Course). [Year - April / 2015] . . . Solution Set of this Paper is Coming soon . . .
This is a Question Papers of Mumbai University for B.Sc.IT Student of Semester - IV [Software Engineering] (Revised Course). [Year - June / 2014] . . . Solution Set of this Paper is Coming soon . . .
Phpactor is a PHP refactoring and autocompletion tool that works as both a standalone CLI application and backend for text editors. It provides intelligent code completion, class and method references, renaming and moving of classes, and code generation capabilities. Phpactor uses Tolerant PHP Parser to build an AST and power its reflection abilities. It communicates with editors via an RPC protocol and includes a Vim plugin to demonstrate its capabilities.
The document summarizes the topics and discussions from a working group meeting on March 1st, 2013 for a Master's program in conference interpreting and translation (MCIT). Key points included: equipment procurement for the program; proposed training seminars in Brussels, Graz and Strasbourg; proposed expert visitors from Slovenia and Turkey; plans for an entrance exam and practice simulation; a review of completed and upcoming tasks; and proposed course descriptions. Other topics were conference opportunities, cooperation with another university, and inter-project support.
Finite-state machines (FSM) are a formal model of computation used to describe systems that can be in one of a finite number of states. The document discusses FSMs, provides an example of how the RAFT algorithm uses FSM concepts for leader election and log replication in distributed systems, and describes a hands-on Python module for modeling state transitions.
Michael Dowling has 17 years of coding experience and is currently an architect at Wells Fargo responsible for an Agile rollout. Spectacular is an ATDD tool that allows teams to use different ATDD tools and languages in a single place to keep documentation and requirements understanding together without losing Agility. It works by having the team collaborate on story requirements as tests in tools like FIT or Gherkin, then the developer writes fixtures and executes the tests in Spectacular, which reports the results all in one document. The goal is to have all tests and requirements in a single artifact that is easy to trace as different test styles are used.
The Standard Template Library (STL) was created by Alexander Stepanov in 1979 as the first library of generic algorithms and data structures for C++. It uses templates to provide compile-time polymorphism and efficiency. In 1998, the C++ standards committee published C++98, which included the STL. The STL achieves abstraction without loss of efficiency through its use of templates and by following the Von Neumann model of computation. It includes containers, algorithms, and I/O stream libraries.
This document discusses various programming concepts and techniques including notation, formatting data, regular expressions, programmable tools, interpreters, compilers, virtual machines, programs that write programs, using micros to generate code, and compiling on the fly. It provides examples and discusses tradeoffs between different approaches. The key idea discussed is that notation can make problems easier to solve while dynamic compilation and just-in-time compilation can provide performance benefits over interpreters or ahead-of-time compilers.
This document provides a summary of a presentation on Python for Everyone. The presentation outline includes an introduction, overview of what Python is, why use Python, where it fits in, and how to automate workflows using Python for both desktop and server applications in ArcGIS. It also discusses ArcGIS integration with Python using ArcPy and resources for learning more about Python. The presentation includes demonstrations of automating tasks using Python for desktop and server applications. It promotes official Esri training courses on Python and provides resources for learning more about Python for GIS tasks.
Python is a widely used programming language that allows developers to work quickly and integrate systems effectively. It is a general purpose, high-level, interpreted, and cross-platform language. Many large companies use Python, including Google, Facebook, Microsoft, and NASA. The introductory session covered installing Python, writing basic print statements and functions, working with objects, lists, modules, conditions, loops, and more Python concepts. Code examples were provided to demonstrate the core features of the Python language.
This document summarizes a presentation on Python and machine learning. It discusses the history and future of artificial intelligence, including predictions that computers will match and exceed human-level intelligence by 2045. It then provides an overview of machine learning concepts like supervised and unsupervised learning. Specifically, it compares classical decision making using explicit rules to machine learning decision making using algorithms like linear regression and neural networks. Finally, it argues that Python is a powerful tool for machine learning work and recommends several Python libraries and resources for learning and applying machine learning.
Intro to Python Workshop San Diego, CA (January 19, 2013)Kendall
These slides were presented at the Intro to Python Workshop in San Diego, California on January 19, 2013. This workshop was for absolute beginners in Python, and builds from the ground up. There were two projectors used in the presentation, one for showing these slides and one with a command-line Python prompt to show the execution of example code throughout the presentation.
The presenters were David Neiss and Kendall Chuang of the San Diego Python Users Group.
The document discusses the basics of the Python programming language. It introduces Python as a general purpose, object oriented language and discusses its key features like garbage collection and support for both procedural and object oriented programming. It also covers Python versions, how to start an interactive session, language basics like indentation, numbers, strings and escape sequences. The document is intended to provide an introduction to the Python language for beginners.
Python for Zombies MOOC is the first brazilian MOOC to teach programming. With a team made up of three folks and no budget, we have reached 42.000 enrollments in two years of activity. After having taken the course, some former girl students even founded the first PyLadies groups in Brazil. There are a lot of Massive Open Online Courses that teach programming in Python (Coursera, Edx, Udacity), but only 5% of the Brazilian people are fluent in English. For this reason, the Brazilian Python community took the initiative to develop the first MOOC to teach programming in Portuguese. The initiative of this MOOC does not come from the University where I am a professor.
Portuguese vídeo at FISL: https://www.youtube.com/watch?v=cD-XofuCL_o
Portuguese vídeo at RuPy: https://www.youtube.com/watch?v=dz44t_--39Y
InfoQ presentation at TDC (portuguese): http://www.infoq.com/br/presentations/python-para-zumbis-primeiro-mooc
Portuguese vídeo at Campus Party: https://www.youtube.com/watch?v=rTUZYywZfhw
English Vídeo at EuroPython: https://www.youtube.com/watch?v=egjzOPTvDMI
Spanish Vídeo at PyConArgentina https://www.youtube.com/watch?v=ddQTniwejVs
Spanish vídeo at PyConUruguay: https://www.youtube.com/watch?v=cLPz6cI2t4Q
This document provides an introduction and overview of various Python programming concepts including print statements, math operations, variables, selection using if/else statements, and iteration using while and for loops. Examples are given for basic "Hello World" programs, math calculations, variables, checking if a number is odd or even, and finding the largest of three numbers. Loops are demonstrated for printing ranges of numbers, calculating sums and factorials. The document also discusses data types and operations in Python.
The document provides an introduction to Python programming by discussing statements and syntax. It covers assignment statements, expression statements, print operations, conditional statements like if/else, and loop statements like while and for. It explains how Python programs are composed of modules containing statements with expressions. Truth tests for conditionals and built-in functions like range, zip that can be used in loops are also overviewed.
Python Foundation – A programmer's introduction to Python concepts & styleKevlin Henney
This document provides an overview of a Python Foundation course that introduces Python concepts and programming style. The course covers Python history and culture, multi-paradigm programming in Python including procedural, modular, scripting, object-oriented and functional styles. It also covers Python syntax, logic and flow control, built-in data types, classes and objects. The course includes coding experiments, programming labs and homework assignments.
My keynote speech from EuroPython, this talk explores what it is like being a developer in a community filled with experts from around the world. The goal of the talk is to provide useful content for beginners and topics of discussion for more advanced developers, while also focusing on Python’s strengths. Video of this talk is at http://www.youtube.com/watch?v=7TImWbnUDeI
A talk given at PHP Cambridge all about Python
The slides cover Python from any other programmer's prospective - but the talk as given involved comparisons to PHP.
Python Tricks That You Can't Live WithoutAudrey Roy
Audrey Roy gave a presentation on Python tricks for code readability and reuse at PyCon Philippines 2012. She discussed writing clean, understandable code by following PEP8 style guidelines and using linters. She also explained how to find and install reusable Python libraries from the standard library and PyPI, and how to write packages and modules to create reusable code.
Python for High Performance and Scientific ComputingAndreas Schreiber
This document summarizes a talk on using Python for high performance and scientific computing. The talk provides an overview of Python's use in HPC and scientific computing, including tools and libraries like NumPy, SciPy, mpi4py, PyCUDA, and PyOpenCL. Examples are given of scientific applications from various domains that use Python for computation on massively parallel systems and GPUs.
The document discusses why the author loves Python programming language. Some key reasons include:
1. Python allows the author to focus on concepts rather than fighting with compiler bugs or syntax issues found in other languages.
2. Python code is more readable and compact due to consistent formatting and use of idioms, allowing for rapid understanding.
3. The author finds Python more productive than other languages due to reduced typing and not having to wade through as much code.
This is a Question Papers of Mumbai University for B.Sc.IT Student of Semester - IV [Software Engineering] (Revised Course). [Year - June / 2014] . . . Solution Set of this Paper is Coming soon . . .
Phpactor is a PHP refactoring and autocompletion tool that works as both a standalone CLI application and backend for text editors. It provides intelligent code completion, class and method references, renaming and moving of classes, and code generation capabilities. Phpactor uses Tolerant PHP Parser to build an AST and power its reflection abilities. It communicates with editors via an RPC protocol and includes a Vim plugin to demonstrate its capabilities.
The document summarizes the topics and discussions from a working group meeting on March 1st, 2013 for a Master's program in conference interpreting and translation (MCIT). Key points included: equipment procurement for the program; proposed training seminars in Brussels, Graz and Strasbourg; proposed expert visitors from Slovenia and Turkey; plans for an entrance exam and practice simulation; a review of completed and upcoming tasks; and proposed course descriptions. Other topics were conference opportunities, cooperation with another university, and inter-project support.
Finite-state machines (FSM) are a formal model of computation used to describe systems that can be in one of a finite number of states. The document discusses FSMs, provides an example of how the RAFT algorithm uses FSM concepts for leader election and log replication in distributed systems, and describes a hands-on Python module for modeling state transitions.
Michael Dowling has 17 years of coding experience and is currently an architect at Wells Fargo responsible for an Agile rollout. Spectacular is an ATDD tool that allows teams to use different ATDD tools and languages in a single place to keep documentation and requirements understanding together without losing Agility. It works by having the team collaborate on story requirements as tests in tools like FIT or Gherkin, then the developer writes fixtures and executes the tests in Spectacular, which reports the results all in one document. The goal is to have all tests and requirements in a single artifact that is easy to trace as different test styles are used.
The Standard Template Library (STL) was created by Alexander Stepanov in 1979 as the first library of generic algorithms and data structures for C++. It uses templates to provide compile-time polymorphism and efficiency. In 1998, the C++ standards committee published C++98, which included the STL. The STL achieves abstraction without loss of efficiency through its use of templates and by following the Von Neumann model of computation. It includes containers, algorithms, and I/O stream libraries.
This document discusses various programming concepts and techniques including notation, formatting data, regular expressions, programmable tools, interpreters, compilers, virtual machines, programs that write programs, using micros to generate code, and compiling on the fly. It provides examples and discusses tradeoffs between different approaches. The key idea discussed is that notation can make problems easier to solve while dynamic compilation and just-in-time compilation can provide performance benefits over interpreters or ahead-of-time compilers.
This document provides a summary of a presentation on Python for Everyone. The presentation outline includes an introduction, overview of what Python is, why use Python, where it fits in, and how to automate workflows using Python for both desktop and server applications in ArcGIS. It also discusses ArcGIS integration with Python using ArcPy and resources for learning more about Python. The presentation includes demonstrations of automating tasks using Python for desktop and server applications. It promotes official Esri training courses on Python and provides resources for learning more about Python for GIS tasks.
Python is a widely used programming language that allows developers to work quickly and integrate systems effectively. It is a general purpose, high-level, interpreted, and cross-platform language. Many large companies use Python, including Google, Facebook, Microsoft, and NASA. The introductory session covered installing Python, writing basic print statements and functions, working with objects, lists, modules, conditions, loops, and more Python concepts. Code examples were provided to demonstrate the core features of the Python language.
This document summarizes a presentation on Python and machine learning. It discusses the history and future of artificial intelligence, including predictions that computers will match and exceed human-level intelligence by 2045. It then provides an overview of machine learning concepts like supervised and unsupervised learning. Specifically, it compares classical decision making using explicit rules to machine learning decision making using algorithms like linear regression and neural networks. Finally, it argues that Python is a powerful tool for machine learning work and recommends several Python libraries and resources for learning and applying machine learning.
Intro to Python Workshop San Diego, CA (January 19, 2013)Kendall
These slides were presented at the Intro to Python Workshop in San Diego, California on January 19, 2013. This workshop was for absolute beginners in Python, and builds from the ground up. There were two projectors used in the presentation, one for showing these slides and one with a command-line Python prompt to show the execution of example code throughout the presentation.
The presenters were David Neiss and Kendall Chuang of the San Diego Python Users Group.
The document discusses the basics of the Python programming language. It introduces Python as a general purpose, object oriented language and discusses its key features like garbage collection and support for both procedural and object oriented programming. It also covers Python versions, how to start an interactive session, language basics like indentation, numbers, strings and escape sequences. The document is intended to provide an introduction to the Python language for beginners.
Python for Zombies MOOC is the first brazilian MOOC to teach programming. With a team made up of three folks and no budget, we have reached 42.000 enrollments in two years of activity. After having taken the course, some former girl students even founded the first PyLadies groups in Brazil. There are a lot of Massive Open Online Courses that teach programming in Python (Coursera, Edx, Udacity), but only 5% of the Brazilian people are fluent in English. For this reason, the Brazilian Python community took the initiative to develop the first MOOC to teach programming in Portuguese. The initiative of this MOOC does not come from the University where I am a professor.
Portuguese vídeo at FISL: https://www.youtube.com/watch?v=cD-XofuCL_o
Portuguese vídeo at RuPy: https://www.youtube.com/watch?v=dz44t_--39Y
InfoQ presentation at TDC (portuguese): http://www.infoq.com/br/presentations/python-para-zumbis-primeiro-mooc
Portuguese vídeo at Campus Party: https://www.youtube.com/watch?v=rTUZYywZfhw
English Vídeo at EuroPython: https://www.youtube.com/watch?v=egjzOPTvDMI
Spanish Vídeo at PyConArgentina https://www.youtube.com/watch?v=ddQTniwejVs
Spanish vídeo at PyConUruguay: https://www.youtube.com/watch?v=cLPz6cI2t4Q
This document provides an introduction and overview of various Python programming concepts including print statements, math operations, variables, selection using if/else statements, and iteration using while and for loops. Examples are given for basic "Hello World" programs, math calculations, variables, checking if a number is odd or even, and finding the largest of three numbers. Loops are demonstrated for printing ranges of numbers, calculating sums and factorials. The document also discusses data types and operations in Python.
The document provides an introduction to Python programming by discussing statements and syntax. It covers assignment statements, expression statements, print operations, conditional statements like if/else, and loop statements like while and for. It explains how Python programs are composed of modules containing statements with expressions. Truth tests for conditionals and built-in functions like range, zip that can be used in loops are also overviewed.
Python Foundation – A programmer's introduction to Python concepts & styleKevlin Henney
This document provides an overview of a Python Foundation course that introduces Python concepts and programming style. The course covers Python history and culture, multi-paradigm programming in Python including procedural, modular, scripting, object-oriented and functional styles. It also covers Python syntax, logic and flow control, built-in data types, classes and objects. The course includes coding experiments, programming labs and homework assignments.
My keynote speech from EuroPython, this talk explores what it is like being a developer in a community filled with experts from around the world. The goal of the talk is to provide useful content for beginners and topics of discussion for more advanced developers, while also focusing on Python’s strengths. Video of this talk is at http://www.youtube.com/watch?v=7TImWbnUDeI
A talk given at PHP Cambridge all about Python
The slides cover Python from any other programmer's prospective - but the talk as given involved comparisons to PHP.
Python Tricks That You Can't Live WithoutAudrey Roy
Audrey Roy gave a presentation on Python tricks for code readability and reuse at PyCon Philippines 2012. She discussed writing clean, understandable code by following PEP8 style guidelines and using linters. She also explained how to find and install reusable Python libraries from the standard library and PyPI, and how to write packages and modules to create reusable code.
Python for High Performance and Scientific ComputingAndreas Schreiber
This document summarizes a talk on using Python for high performance and scientific computing. The talk provides an overview of Python's use in HPC and scientific computing, including tools and libraries like NumPy, SciPy, mpi4py, PyCUDA, and PyOpenCL. Examples are given of scientific applications from various domains that use Python for computation on massively parallel systems and GPUs.
The document discusses why the author loves Python programming language. Some key reasons include:
1. Python allows the author to focus on concepts rather than fighting with compiler bugs or syntax issues found in other languages.
2. Python code is more readable and compact due to consistent formatting and use of idioms, allowing for rapid understanding.
3. The author finds Python more productive than other languages due to reduced typing and not having to wade through as much code.
Workshop de 2h no Campus Party 2013. Introdução à linguagem Python. Hackear o Facebook para baixar fotos de amigos. Requisitos: conta no Facebook, notebook com Python 3.x instalado e vontade de aprender coisas novas. Resumo nos vídeos abaixo:
http://www.youtube.com/watch?v=QH7b37URGSo
http://www.youtube.com/watch?v=or1gtKGhMLE
This document provides an introduction and overview of the Python programming language. It covers Python's history and key features such as being object-oriented, dynamically typed, batteries included, and focusing on readability. It also discusses Python's syntax, types, operators, control flow, functions, classes, imports, error handling, documentation tools, and popular frameworks/IDEs. The document is intended to give readers a high-level understanding of Python.
An introduction to computer vision in Python, from the general concept to its implementation with some current open-source libraries. Demonstrates a selection of basic computer vision examples using SciPy, OpenCV and Pygame.
This document outlines a Python-Django training course held at HCMUT in summer 2012. It provides details on the instructors, tools used in the training including Notepad++ and command line, and covers 13 parts that make up the content of the course including introductions to Python, Django, HTML/CSS, installation, models, views, templates and deployment. Exercises are provided to help reinforce learning concepts in Python and using HTML, CSS, and JavaScript to create a form.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
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 Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
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.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
2. Day 1
● List of Programming Languages.
● Why Python ???
● A simple Program.
● Problem Domain.
● Knowing your problem domain.
● Algorithm.
● References.
3. Why Python ???
● Easy to Learn and Use.
● Rapid Development.
● Nice Documentation and Modules.
● Python is Cross Platform.
10. Knowing Problem Domain
● E.g. Programming a Game Mahjong
● Mahjong of 64 blocks.
● Match blocks of similar patterns or values.
● Pattern found: i=i+1
11. Algorithm
● Step by step instructions to solve the problem.
e.g convert from F to C
● Read F
● C → (5/9) *(f-32)
● Print C
● Stop