Why Python
•Download as PPT, PDF•
3 likes•2,403 views
Python was created by Guido van Rossum in 1990 and draws influences from languages like ABC, Lisp, Perl, and Haskell. It is an interpreted, high-level, general-purpose programming language that is designed to be highly readable. Python emphasizes code readability by utilizing syntax like indentation instead of curly braces and omitting characters like semicolons. It supports multiple programming paradigms including object-oriented, imperative and functional programming.
Report
Share
Report
Share
Recommended
Python
What?
Why should I care?
What makes it special?
How will I gain out of it?
Can i learn it as a beginner?
Why should I change from my current technology?
Such questions are answered :)
Follow The Path
The document provides guidance on how to become a hacker by following the path of masters. It suggests to look to masters, follow masters, walk with masters, see through masters, and eventually become a master yourself. The world is full of problems waiting to be solved.
Artifacts evolution
We make software and when we go into production (and not only) we need an artifact to deploy.
The artifacts have been evolved more or less parallel to the culture of devops, their changes have not been random but the result of practices and mentality that have progressed.
From the zipper to the docker image, from a url to a docker-compose, passing through many other nuances.
Let's retrace this path and see how the culture devops has supported and pushed this evolution!
Let's rust system programming is great again
Usually we have to choose between performance, safety, and development speed. We have C/C++, Java, and bunch of scripting languages.
Then here comes to the Rust: a programming language brought by Mozilla and the community.
This topic will introduce Rust by showing the ownership concept, modern syntax and examples of concurrency approach.
From NASA to Startups to Big Commerce
The document provides tips for building maintainable and scalable projects. It discusses the importance of following best practices like writing tests, using version control, and avoiding premature optimization. It also warns against technical debt and recommends focusing on simplicity over complexity when starting a new project.
2015 bioinformatics python_introduction_wim_vancriekinge_vfinal
The document provides an overview of using Python for bioinformatics, discussing what Python is, why it is useful for bioinformatics, how to set up Python in integrated development environments like Eclipse with PyDev, how to share code using Git and GitHub, and includes examples of Hello World and bioinformatics programs in Python. It introduces Python and argues it is well-suited for bioinformatics due to its extensive standard libraries, ease of use, and wide adoption in science. The document demonstrates how to install Python, set up an IDE, create and run simple Python programs, and use version control with Git and GitHub to collaborate on projects.
2016 bioinformatics i_python_part_1_wim_vancriekinge
Context sensitive help
Views:
Containers for displaying
information like Project Explorer,
Problems, Outline etc.
Editor Area:
Where source code is edited
Status Bar:
Displays status messages
Console:
Displays output from running code
Debug Perspective:
Tools for debugging code
PyDev Perspective:
Python specific tools
Perspectives:
Groupings of views optimized for
different tasks
Workbench:
The main window area where all
components are displayed
Toolbars:
Quick access to common functions
© Tutorials Point (I) Pvt. Ltd.
Eclipse IDE Components
Menubars
P1 2018 python
The document provides an overview of the history and evolution of various programming languages. It discusses early languages like FORTRAN, LISP, PASCAL, C, and Java. It also covers scripting languages and their uses. The document explains what Python is as a programming language - that it is interpreted, object-oriented, and high-level. It was named after Monty Python and was created by Guido van Rossum. The document then gives examples of using Python to program Minecraft by importing protein data from PDB files and using coordinates to place blocks to visualize proteins in the game.
Recommended
Python
What?
Why should I care?
What makes it special?
How will I gain out of it?
Can i learn it as a beginner?
Why should I change from my current technology?
Such questions are answered :)
Follow The Path
The document provides guidance on how to become a hacker by following the path of masters. It suggests to look to masters, follow masters, walk with masters, see through masters, and eventually become a master yourself. The world is full of problems waiting to be solved.
Artifacts evolution
We make software and when we go into production (and not only) we need an artifact to deploy.
The artifacts have been evolved more or less parallel to the culture of devops, their changes have not been random but the result of practices and mentality that have progressed.
From the zipper to the docker image, from a url to a docker-compose, passing through many other nuances.
Let's retrace this path and see how the culture devops has supported and pushed this evolution!
Let's rust system programming is great again
Usually we have to choose between performance, safety, and development speed. We have C/C++, Java, and bunch of scripting languages.
Then here comes to the Rust: a programming language brought by Mozilla and the community.
This topic will introduce Rust by showing the ownership concept, modern syntax and examples of concurrency approach.
From NASA to Startups to Big Commerce
The document provides tips for building maintainable and scalable projects. It discusses the importance of following best practices like writing tests, using version control, and avoiding premature optimization. It also warns against technical debt and recommends focusing on simplicity over complexity when starting a new project.
2015 bioinformatics python_introduction_wim_vancriekinge_vfinal
The document provides an overview of using Python for bioinformatics, discussing what Python is, why it is useful for bioinformatics, how to set up Python in integrated development environments like Eclipse with PyDev, how to share code using Git and GitHub, and includes examples of Hello World and bioinformatics programs in Python. It introduces Python and argues it is well-suited for bioinformatics due to its extensive standard libraries, ease of use, and wide adoption in science. The document demonstrates how to install Python, set up an IDE, create and run simple Python programs, and use version control with Git and GitHub to collaborate on projects.
2016 bioinformatics i_python_part_1_wim_vancriekinge
Context sensitive help
Views:
Containers for displaying
information like Project Explorer,
Problems, Outline etc.
Editor Area:
Where source code is edited
Status Bar:
Displays status messages
Console:
Displays output from running code
Debug Perspective:
Tools for debugging code
PyDev Perspective:
Python specific tools
Perspectives:
Groupings of views optimized for
different tasks
Workbench:
The main window area where all
components are displayed
Toolbars:
Quick access to common functions
© Tutorials Point (I) Pvt. Ltd.
Eclipse IDE Components
Menubars
P1 2018 python
The document provides an overview of the history and evolution of various programming languages. It discusses early languages like FORTRAN, LISP, PASCAL, C, and Java. It also covers scripting languages and their uses. The document explains what Python is as a programming language - that it is interpreted, object-oriented, and high-level. It was named after Monty Python and was created by Guido van Rossum. The document then gives examples of using Python to program Minecraft by importing protein data from PDB files and using coordinates to place blocks to visualize proteins in the game.
P1 2017 python
Context sensitive help
Toolbars:
Quick access to common actions
Views:
Panels for navigating code, files,
tasks etc.
Editor:
Where code is written and edited
Console:
Output from running code
Debug Perspective:
Tools for debugging code
Project Explorer:
Navigating files and folders
Outline:
Structure of current editor
Problems:
Errors and warnings
Properties:
Details of selected item
PyDev Perspective:
Python specific tools
Run/Debug Buttons:
Run and debug code
Status Bar:
Status messages
Welcome Page:
Getting started tips
Help:
Documentation and
Python Intro For Managers
This document provides an overview of the Python programming language. It discusses that Python is an easy to use, open-source scripting language (3 sentences or less).
Python Programming Unit1_Aditya College of Engg & Tech
Python was created in the late 1980s by Guido van Rossum at CWI in the Netherlands as a successor to the ABC language. It is an interpreted, object-oriented programming language that is easy to read and maintain. Python code is portable and can be used for web development, desktop GUIs, games, data science, and more due to its large standard library and extensive third party libraries. Some limitations are that performance is not as fast as lower-level compiled languages and it is not well-suited for mobile applications.
Python for Science and Engineering: a presentation to A*STAR and the Singapor...
An introduction to Python in science and engineering.
The presentation was given by Dr Edward Schofield of Python Charmers (www.pythoncharmers.com) to A*STAR and the Singapore Computational Sciences Club in June 2011.
World of Node.JS
Node.js is a JavaScript runtime built on Chrome's V8 JavaScript engine. It allows JavaScript to be run on the server-side and uses asynchronous and event-driven programming. Node.js uses non-blocking I/O to make it efficient for data-intensive real-time applications that run across distributed devices. It has a large community and ecosystem of open source libraries. While single-threaded, it allows for high concurrency through asynchronous and event-driven programming without threads.
Introduction to python
This document provides an introduction to the Python programming language. It discusses that Python was created by Guido Van Rossum in 1989. It is an interpreted, interactive, object-oriented language with simple syntax making it ideal for beginners. The document outlines Python's history, features, supported platforms, comparisons to other languages, popular uses and applications.
Ruby is dying. What languages are cool now?
- Ruby is no longer considered a "cool" language according to the author, who examines several languages that are currently popular including Swift, Rust, Go, Elixir, Julia, and Dart.
- Swift was created by Apple to replace Objective-C and adds modern features while removing the complexity of C. Rust was created to be safe, concurrent, and practical while combining high and low level capabilities. Go was created at Google to be understandable, productive, and scale well for networking and multiprocessing. Elixir builds on Erlang's concurrency model and adds a Ruby-like syntax. Julia targets scientific computing by combining speed and interactivity. Dart was created by Google to replace JavaScript but never gained
Features of python.pptx
This seminar presentation summarizes the key features of the Python programming language. It discusses that Python is an easy to learn, interpreted, object-oriented language that is platform independent, free and open source. It has a large standard library and supports GUI programming. Some of the key features covered include Python's syntax which uses indentation instead of curly brackets, its ability to perform complex tasks concisely, its portability across operating systems, its large community and free/open source model, support for object-oriented programming concepts, and inclusion of libraries for machine learning, web development and more.
Smalltalk and Business
The document discusses Smalltalk and its use in business. It provides an overview of Smalltalk, including its history and inventions. It describes dialects like Pharo and how it can be used for web development, databases, and more. Benefits include productivity, flexibility, and being fully object-oriented, while disadvantages include lack of mainstream popularity and documentation compared to other languages.
Python.pptx
The document provides an overview of the history and key features of the Python programming language. It discusses that Python was created in 1989 by Guido van Rossum as an easy to use scripting language. It gained popularity through its open source model and large standard library. Key features include being easy to learn, having a clear readable syntax, being interpreted, object-oriented, cross-platform, and having a vast library of functions. Popular applications of Python include GUI programs, web development, science, education, and more.
Four Python Pains
Python has four main pain points: speed, scalability, type safety, and adherence to the CPython implementation. It discusses how Python could potentially be improved by applying techniques from other languages to increase speed, removing the global interpreter lock to improve scalability, using static type analysis tools and annotations to increase type safety, and developing higher-level tools for writing extensions to improve portability across implementations. Overall, the document analyzes potential issues with the Python language and explores possible solutions.
Python | What is Python | History of Python | Python Tutorial
Python Tutorial for beginner & python Basics who need to excited to learn basics of python. Here you will know about python overview
Python Applications by The Knowledge Academy.docx
We are the world’s largest and most established provider of training courses globally, with extensive experience of providing quality-infused learning solutions - with the capability to deliver over 30,000 courses, in 1000+ locations, across 190 countries. As market leaders, we have successfully trained over 1 million delegates - demonstrating our internationally-renowned trust and unrivalled premium quality, to all of our aspiring learners.
Александр Ломов: "Reactjs + Haskell + Cloud Foundry = Love"
This document discusses various topics related to language and technology including:
- The history and names of the city of Strasbourg in different languages.
- Features of programming languages like classes, lambdas, and multiple assignment in ECMAScript 6.
- How Apache Cordova allows building native mobile apps using HTML, CSS, and JavaScript.
- Different phonetic systems used by linguists and how to organize searches across multiple conversions.
- Functional programming languages like Haskell and its features like laziness and parallelism.
- Web frameworks like Yesod built for Haskell.
- Cloud platforms like Cloud Foundry that support building apps in multiple languages using buildpacks.
From Silicon to Software - IIT Madras
The document discusses the history and evolution of computing from early computers like the Cray 1 to modern systems-on-chip and embedded systems. It covers topics like VLSI design flow, embedded development boards, real-time operating systems like RTEMS, cross-compilation, bootloaders, and inter-process communication methods like DBus. Examples of embedded applications discussed include medical therapy machines, satellite systems, and mobile phone frameworks. The goal is to provide context around embedded systems and software.
Cmpe202 01 Research
Python was created in the late 1980s by Guido van Rossum as a successor to the ABC programming language. It uses dynamic typing and garbage collection for memory management. Key features include its clear syntax, object orientation, modularity through packages, and extensive standard libraries. Python code is highly readable and portable across operating systems.
Unit 4 Assignment 1 Comparative Study Of Programming...
- The goal is to design a new programming language by combining common qualities from two existing languages.
- When designing a new language, it is important to consider aspects like syntax, semantics, data types, control structures, modularity, and libraries/frameworks.
- The language design should aim to take useful features from other languages while avoiding their shortcomings to create a language that is efficient, readable, and meets modern programming needs.
BUD17-104: Scripting Languages in IoT: Challenges and Approaches
"Session ID: BUD17-104
Session Name: Scripting Languages in IoT: Challenges and Approaches - BUD17-104
Speaker: Paul Sokolovsky,
Track: LITE
★ Session Summary ★
Scripting languages is hot emerging topic in IoT. They allow easy learnability and rapid prototyping and further benefits (like production use) as they evolve. This session compares approaches of MicroPython and JerryScript/Zephyr.js projects and gives status update on their Zephyr RTOS ports.
---------------------------------------------------
★ Resources ★
Event Page: http://connect.linaro.org/resource/bud17/bud17-104/
Presentation: https://www.slideshare.net/linaroorg/bud17104-scripting-languages-in-iot-challenges-and-approaches
Video: https://youtu.be/lIO8QL2SRuU
---------------------------------------------------
★ Event Details ★
Linaro Connect Budapest 2017 (BUD17)
6-10 March 2017
Corinthia Hotel, Budapest,
Erzsébet krt. 43-49,
1073 Hungary
---------------------------------------------------
Keyword: IoT, scripting languages, Zephyr, LITE, Paul Sokolovsky,
http://www.linaro.org
http://connect.linaro.org
---------------------------------------------------
Follow us on Social Media
https://www.facebook.com/LinaroOrg
https://twitter.com/linaroorg
https://www.youtube.com/user/linaroorg?sub_confirmation=1
https://www.linkedin.com/company/1026961"
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
More Related Content
Similar to Why Python
P1 2017 python
Context sensitive help
Toolbars:
Quick access to common actions
Views:
Panels for navigating code, files,
tasks etc.
Editor:
Where code is written and edited
Console:
Output from running code
Debug Perspective:
Tools for debugging code
Project Explorer:
Navigating files and folders
Outline:
Structure of current editor
Problems:
Errors and warnings
Properties:
Details of selected item
PyDev Perspective:
Python specific tools
Run/Debug Buttons:
Run and debug code
Status Bar:
Status messages
Welcome Page:
Getting started tips
Help:
Documentation and
Python Intro For Managers
This document provides an overview of the Python programming language. It discusses that Python is an easy to use, open-source scripting language (3 sentences or less).
Python Programming Unit1_Aditya College of Engg & Tech
Python was created in the late 1980s by Guido van Rossum at CWI in the Netherlands as a successor to the ABC language. It is an interpreted, object-oriented programming language that is easy to read and maintain. Python code is portable and can be used for web development, desktop GUIs, games, data science, and more due to its large standard library and extensive third party libraries. Some limitations are that performance is not as fast as lower-level compiled languages and it is not well-suited for mobile applications.
Python for Science and Engineering: a presentation to A*STAR and the Singapor...
An introduction to Python in science and engineering.
The presentation was given by Dr Edward Schofield of Python Charmers (www.pythoncharmers.com) to A*STAR and the Singapore Computational Sciences Club in June 2011.
World of Node.JS
Node.js is a JavaScript runtime built on Chrome's V8 JavaScript engine. It allows JavaScript to be run on the server-side and uses asynchronous and event-driven programming. Node.js uses non-blocking I/O to make it efficient for data-intensive real-time applications that run across distributed devices. It has a large community and ecosystem of open source libraries. While single-threaded, it allows for high concurrency through asynchronous and event-driven programming without threads.
Introduction to python
This document provides an introduction to the Python programming language. It discusses that Python was created by Guido Van Rossum in 1989. It is an interpreted, interactive, object-oriented language with simple syntax making it ideal for beginners. The document outlines Python's history, features, supported platforms, comparisons to other languages, popular uses and applications.
Ruby is dying. What languages are cool now?
- Ruby is no longer considered a "cool" language according to the author, who examines several languages that are currently popular including Swift, Rust, Go, Elixir, Julia, and Dart.
- Swift was created by Apple to replace Objective-C and adds modern features while removing the complexity of C. Rust was created to be safe, concurrent, and practical while combining high and low level capabilities. Go was created at Google to be understandable, productive, and scale well for networking and multiprocessing. Elixir builds on Erlang's concurrency model and adds a Ruby-like syntax. Julia targets scientific computing by combining speed and interactivity. Dart was created by Google to replace JavaScript but never gained
Features of python.pptx
This seminar presentation summarizes the key features of the Python programming language. It discusses that Python is an easy to learn, interpreted, object-oriented language that is platform independent, free and open source. It has a large standard library and supports GUI programming. Some of the key features covered include Python's syntax which uses indentation instead of curly brackets, its ability to perform complex tasks concisely, its portability across operating systems, its large community and free/open source model, support for object-oriented programming concepts, and inclusion of libraries for machine learning, web development and more.
Smalltalk and Business
The document discusses Smalltalk and its use in business. It provides an overview of Smalltalk, including its history and inventions. It describes dialects like Pharo and how it can be used for web development, databases, and more. Benefits include productivity, flexibility, and being fully object-oriented, while disadvantages include lack of mainstream popularity and documentation compared to other languages.
Python.pptx
The document provides an overview of the history and key features of the Python programming language. It discusses that Python was created in 1989 by Guido van Rossum as an easy to use scripting language. It gained popularity through its open source model and large standard library. Key features include being easy to learn, having a clear readable syntax, being interpreted, object-oriented, cross-platform, and having a vast library of functions. Popular applications of Python include GUI programs, web development, science, education, and more.
Four Python Pains
Python has four main pain points: speed, scalability, type safety, and adherence to the CPython implementation. It discusses how Python could potentially be improved by applying techniques from other languages to increase speed, removing the global interpreter lock to improve scalability, using static type analysis tools and annotations to increase type safety, and developing higher-level tools for writing extensions to improve portability across implementations. Overall, the document analyzes potential issues with the Python language and explores possible solutions.
Python | What is Python | History of Python | Python Tutorial
Python Tutorial for beginner & python Basics who need to excited to learn basics of python. Here you will know about python overview
Python Applications by The Knowledge Academy.docx
We are the world’s largest and most established provider of training courses globally, with extensive experience of providing quality-infused learning solutions - with the capability to deliver over 30,000 courses, in 1000+ locations, across 190 countries. As market leaders, we have successfully trained over 1 million delegates - demonstrating our internationally-renowned trust and unrivalled premium quality, to all of our aspiring learners.
Александр Ломов: "Reactjs + Haskell + Cloud Foundry = Love"
This document discusses various topics related to language and technology including:
- The history and names of the city of Strasbourg in different languages.
- Features of programming languages like classes, lambdas, and multiple assignment in ECMAScript 6.
- How Apache Cordova allows building native mobile apps using HTML, CSS, and JavaScript.
- Different phonetic systems used by linguists and how to organize searches across multiple conversions.
- Functional programming languages like Haskell and its features like laziness and parallelism.
- Web frameworks like Yesod built for Haskell.
- Cloud platforms like Cloud Foundry that support building apps in multiple languages using buildpacks.
From Silicon to Software - IIT Madras
The document discusses the history and evolution of computing from early computers like the Cray 1 to modern systems-on-chip and embedded systems. It covers topics like VLSI design flow, embedded development boards, real-time operating systems like RTEMS, cross-compilation, bootloaders, and inter-process communication methods like DBus. Examples of embedded applications discussed include medical therapy machines, satellite systems, and mobile phone frameworks. The goal is to provide context around embedded systems and software.
Cmpe202 01 Research
Python was created in the late 1980s by Guido van Rossum as a successor to the ABC programming language. It uses dynamic typing and garbage collection for memory management. Key features include its clear syntax, object orientation, modularity through packages, and extensive standard libraries. Python code is highly readable and portable across operating systems.
Unit 4 Assignment 1 Comparative Study Of Programming...
- The goal is to design a new programming language by combining common qualities from two existing languages.
- When designing a new language, it is important to consider aspects like syntax, semantics, data types, control structures, modularity, and libraries/frameworks.
- The language design should aim to take useful features from other languages while avoiding their shortcomings to create a language that is efficient, readable, and meets modern programming needs.
BUD17-104: Scripting Languages in IoT: Challenges and Approaches
"Session ID: BUD17-104
Session Name: Scripting Languages in IoT: Challenges and Approaches - BUD17-104
Speaker: Paul Sokolovsky,
Track: LITE
★ Session Summary ★
Scripting languages is hot emerging topic in IoT. They allow easy learnability and rapid prototyping and further benefits (like production use) as they evolve. This session compares approaches of MicroPython and JerryScript/Zephyr.js projects and gives status update on their Zephyr RTOS ports.
---------------------------------------------------
★ Resources ★
Event Page: http://connect.linaro.org/resource/bud17/bud17-104/
Presentation: https://www.slideshare.net/linaroorg/bud17104-scripting-languages-in-iot-challenges-and-approaches
Video: https://youtu.be/lIO8QL2SRuU
---------------------------------------------------
★ Event Details ★
Linaro Connect Budapest 2017 (BUD17)
6-10 March 2017
Corinthia Hotel, Budapest,
Erzsébet krt. 43-49,
1073 Hungary
---------------------------------------------------
Keyword: IoT, scripting languages, Zephyr, LITE, Paul Sokolovsky,
http://www.linaro.org
http://connect.linaro.org
---------------------------------------------------
Follow us on Social Media
https://www.facebook.com/LinaroOrg
https://twitter.com/linaroorg
https://www.youtube.com/user/linaroorg?sub_confirmation=1
https://www.linkedin.com/company/1026961"
Similar to Why Python (20)
Python Programming Unit1_Aditya College of Engg & Tech
Python Programming Unit1_Aditya College of Engg & Tech
Python for Science and Engineering: a presentation to A*STAR and the Singapor...
Python for Science and Engineering: a presentation to A*STAR and the Singapor...
Python | What is Python | History of Python | Python Tutorial
Python | What is Python | History of Python | Python Tutorial
Александр Ломов: "Reactjs + Haskell + Cloud Foundry = Love"
Александр Ломов: "Reactjs + Haskell + Cloud Foundry = Love"
Unit 4 Assignment 1 Comparative Study Of Programming...
Unit 4 Assignment 1 Comparative Study Of Programming...
BUD17-104: Scripting Languages in IoT: Challenges and Approaches
BUD17-104: Scripting Languages in IoT: Challenges and Approaches
Recently uploaded
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Things to Consider When Choosing a Website Developer for your Website | FODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Recently uploaded (20)
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Things to Consider When Choosing a Website Developer for your Website | FODUU
Things to Consider When Choosing a Website Developer for your Website | FODUU
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Why Python
- 1. Python
- 12. EXAMPLES
- 13. Example: Old Directory Cleanup Script
- 14. Example: Simple XML Processing
- 15. Example: Simple Spell Checker in 21 Lines