This is a sample python code which takes the voice input n makes the desktop functions. In small word this is a basic version of Jarvis, it helps to play music and to send the email along with the content.....
Se Charlie Chaplin conhecesse Fabric, a única revolução que aconteceria seria na sua produtividade. Ele não teria ficado louco, nem participado de uma revolução comunista. Nesse light talk, vou abordar como automatizar tarefas com Fabric. Você tem o esforço de apertar apenas um parafuso e faz com que "n" parafusos sejam apertados com um único comando.
A presentation about combining the powers of the Go language and Asterisk in order to provide fast, reliable and hugely scalable voice applications. A brief introduction about why Go presents a big opportunity for the asterisk community, a primer into developing FastAGI applications, demonstration of the AGI package [1] and a walk through the idioms and challenges of developing in Go. The talk is focused mainly on our experience of porting existing code into Go with the aim to scale our services to larger numbers accompanied with benchmarks and an introduction to some tools [2] we developed to help us test, debug and benchmark AGI applications.
Concurrency is hard. Consistency in distributed systems is hard. And then the whole thing should be highly-available and error resilient.
Fear not, there are good news: There exists an awesome tool called ZooKeeper to help you with this. There even exists a plethora of Python libraries for it, but how to know what to use and how?
This talk will walk you through ZooKeeper and how to use it with Python. We’ll be focusing on what I think is the most prominient ZooKeeper library out there for Python: Kazoo.
You’ll see how to do things in ZooKeeper and how to implement them using Kazoo. We’ll also peek in to the recipes Kazoo offers, and if we have enough time, touch a real life application we’ve used Kazoo and ZooKeeper to build at Spotify.
Se Charlie Chaplin conhecesse Fabric, a única revolução que aconteceria seria na sua produtividade. Ele não teria ficado louco, nem participado de uma revolução comunista. Nesse light talk, vou abordar como automatizar tarefas com Fabric. Você tem o esforço de apertar apenas um parafuso e faz com que "n" parafusos sejam apertados com um único comando.
A presentation about combining the powers of the Go language and Asterisk in order to provide fast, reliable and hugely scalable voice applications. A brief introduction about why Go presents a big opportunity for the asterisk community, a primer into developing FastAGI applications, demonstration of the AGI package [1] and a walk through the idioms and challenges of developing in Go. The talk is focused mainly on our experience of porting existing code into Go with the aim to scale our services to larger numbers accompanied with benchmarks and an introduction to some tools [2] we developed to help us test, debug and benchmark AGI applications.
Concurrency is hard. Consistency in distributed systems is hard. And then the whole thing should be highly-available and error resilient.
Fear not, there are good news: There exists an awesome tool called ZooKeeper to help you with this. There even exists a plethora of Python libraries for it, but how to know what to use and how?
This talk will walk you through ZooKeeper and how to use it with Python. We’ll be focusing on what I think is the most prominient ZooKeeper library out there for Python: Kazoo.
You’ll see how to do things in ZooKeeper and how to implement them using Kazoo. We’ll also peek in to the recipes Kazoo offers, and if we have enough time, touch a real life application we’ve used Kazoo and ZooKeeper to build at Spotify.
JavaOne 2010, Rock Star winning presentation on Fugue and Log4JFugueBrian Tarbox
David Koelle wrote JFugue which is a system for making it easy to do music programming. Brian Tarbox used JFugue to write Log4JFugue which converts and computer program's log file output to a music stream.
"Infrastructure as Data" by Nick Lewis, Software Developer, Puppet Labs.
Presentation Overview: We all know the benefits of infrastructure as code - version control, reusability, shareability, documentation, and so on. Another popular notion is that of code as data, by which code can be introspected, modified, and used for decision making. Combining the two ideas, the natural implication is that infrastructure is also data, and can be similarly introspected, modified, and used for decision making. In other words, we can do math on infrastructure. We'll look at some interesting ways this data can be filtered, combined, and applied to achieve results which would be difficult to describe directly in code.
Speaker Bio: Nick Lewis is a software developer at Puppet Labs and one of the co-authors of PuppetDB.
Perintah perintah dasar linux Operating SistemRoziq Bahtiar
presentation about base command line interface linux
please see in this link
http://roziq.com/perintah-perintah-dasar-linux-dan-konfigurasi-ip-address-cli/
Capture the Flag (CTF) are information security challenges. They are fun, but they also provide a opportunity to practise for real-world security challenges.
In this talk we present the concept of CTF. We focus on some tools used by our team, which can also be used to solve real-world problems.
I hope this has inspired you to start learning Python and explore how it can help you with automating tasks and analyzing complex data to increase your efficiency.
As a final note, please remember that you don’t need to learn Python to be a good SEO, but if you’re intrigued or interested then I hope you have fun learning and putting into practice some Python scripts into your workflow.
JavaOne 2010, Rock Star winning presentation on Fugue and Log4JFugueBrian Tarbox
David Koelle wrote JFugue which is a system for making it easy to do music programming. Brian Tarbox used JFugue to write Log4JFugue which converts and computer program's log file output to a music stream.
"Infrastructure as Data" by Nick Lewis, Software Developer, Puppet Labs.
Presentation Overview: We all know the benefits of infrastructure as code - version control, reusability, shareability, documentation, and so on. Another popular notion is that of code as data, by which code can be introspected, modified, and used for decision making. Combining the two ideas, the natural implication is that infrastructure is also data, and can be similarly introspected, modified, and used for decision making. In other words, we can do math on infrastructure. We'll look at some interesting ways this data can be filtered, combined, and applied to achieve results which would be difficult to describe directly in code.
Speaker Bio: Nick Lewis is a software developer at Puppet Labs and one of the co-authors of PuppetDB.
Perintah perintah dasar linux Operating SistemRoziq Bahtiar
presentation about base command line interface linux
please see in this link
http://roziq.com/perintah-perintah-dasar-linux-dan-konfigurasi-ip-address-cli/
Capture the Flag (CTF) are information security challenges. They are fun, but they also provide a opportunity to practise for real-world security challenges.
In this talk we present the concept of CTF. We focus on some tools used by our team, which can also be used to solve real-world problems.
I hope this has inspired you to start learning Python and explore how it can help you with automating tasks and analyzing complex data to increase your efficiency.
As a final note, please remember that you don’t need to learn Python to be a good SEO, but if you’re intrigued or interested then I hope you have fun learning and putting into practice some Python scripts into your workflow.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
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.
1. import pyttsx3 #pip install pyttsx3
import speech_recognition as sr #pip install speechRecognition
import datetime
import wikipedia #pip install wikipedia
import webbrowser
import os
import smtplib
engine = pyttsx3.init('sapi5')
voices = engine.getProperty('voices')
# print(voices[1].id)
engine.setProperty('voice', voices[0].id)
def speak(audio):
engine.say(audio)
engine.runAndWait()
def wishMe():
hour = int(datetime.datetime.now().hour)
if hour>=0 and hour<12:
speak("Good Morning!")
elif hour>=12 and hour<18:
speak("Good Afternoon!")
else:
speak("Good Evening!")
speak("I am Jarvis Sir. Please tell me how may I help you")
2. def takeCommand():
#It takes microphone input from the user and returns string output
r = sr.Recognizer()
with sr.Microphone() as source:
print("Listening...")
r.pause_threshold = 1
audio = r.listen(source)
try:
print("Recognizing...")
query = r.recognize_google(audio, language='en-in')
print(f"User said: {query}n")
except Exception as e:
# print(e)
print("Say that again please...")
return "None"
return query
def sendEmail(to, content):
server = smtplib.SMTP('smtp.gmail.com', 587)
server.ehlo()
server.starttls()
server.login('youremail@gmail.com', 'your-password')
server.sendmail('youremail@gmail.com', to, content)
server.close()
if __name__ == "__main__":
wishMe()
3. while True:
# if 1:
query = takeCommand().lower()
# Logic for executing tasks based on query
if 'wikipedia' in query:
speak('Searching Wikipedia...')
query = query.replace("wikipedia", "")
results = wikipedia.summary(query, sentences=2)
speak("According to Wikipedia")
print(results)
speak(results)
elif 'open youtube' in query:
webbrowser.open("youtube.com")
elif 'open google' in query:
webbrowser.open("google.com")
elif 'open stackoverflow' in query:
webbrowser.open("stackoverflow.com")
elif 'play music' in query:
music_dir = 'D:Non CriticalsongsFavorite Songs2'
songs = os.listdir(music_dir)
print(songs)
os.startfile(os.path.join(music_dir, songs[0]))
elif 'the time' in query:
strTime = datetime.datetime.now().strftime("%H:%M:%S")
4. speak(f"Sir, the time is {strTime}")
elif 'open code' in query:
codePath = "C:UsersHarisAppDataLocalProgramsMicrosoft VS CodeCode.exe"
os.startfile(codePath)
elif 'email to harry' in query:
try:
speak("What should I say?")
content = takeCommand()
to = "youremail@gmail.com"
sendEmail(to, content)
speak("Email has been sent!")
except Exception as e:
print(e)
speak("your content")