Mp26 : A Quick Introduction to NetworkX
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NetworkX is a Python package for analyzing networks and graphs. It contains many algorithms for combinatorics, network analysis, and network flows. Networks and graphs consist of vertices/nodes which are singletons in the model and edges which are connections between vertices. NetworkX allows easy visualization of graphs using Matplotlib. An example graph analyzed with NetworkX is a network of political books and their frequent copurchasing by Amazon customers, with cliques identified as sets of books often bought together.
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The document summarizes ways for startups to connect with talent and opportunities for programmers to get involved with startups in Montreal. It profiles several successful startups built by small teams of Python programmers like Dropbox, Disqus, and Justin.tv that have reached hundreds of millions of users. It encourages programmers to join startups for the chance to work on brilliant ideas, latest technologies, and a passionate community. Finally, it advertises an upcoming event called #MTLStartupTalent on February 14th to bridge 500 talents to 25+ startups in 6 hours through job opportunities, networking, and conversations with founders.Mp26 : Tachyon, sloppiness is bliss
Mp26 : Tachyon, sloppiness is blissMontreal Python
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This document describes Tachyon, an offensive tool for penetration testers to discover hidden files and folders on web servers through intelligent scanning. It utilizes a plugin architecture and multi-threading to quickly scan sites. The document outlines Tachyon's features like Tor support, path and file databases, plugin system, and false positive detection methods. It notes limitations and plans for future improvements like faster speeds, cleaner output, and a plugin documentation system.Mp26 : How do you Solve a Problem like Santa Claus?
Mp26 : How do you Solve a Problem like Santa Claus?Montreal Python
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The document summarizes the "Santa Claus problem" of synchronizing Santa's activities based on whether he is awakened by reindeer or elves. It discusses how the problem has been solved over the years using different programming languages and mechanisms like semaphores, protected objects, join patterns, and software transactional memory. It then focuses on implementing join patterns in Stackless Python using channels to synchronize Santa's activities and give priority to reindeer in case of both reindeer and elves waiting.Mp25: Optical Music Recognition with Python
Mp25: Optical Music Recognition with PythonMontreal Python
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Optical Music Recognition with Python summarizes building optical character recognition for sheet music notation. It discusses using a Python framework called Gamera to analyze document images to classify musical symbols like notes, clefs, and dynamics. The goal is to teach computers to understand music notation by binarizing images, removing staff lines, identifying shapes, and encoding the recognized music in a format like Music Encoding Initiative XML. A demo is shown of the process in action.Mp25: Audio Fingerprinting and metadata correction with Python
Mp25: Audio Fingerprinting and metadata correction with PythonMontreal Python
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This document discusses using Python for audio fingerprinting and metadata correction of music files. It describes using multiple music metadata sources like MusicBrainz, Amazon, and Last.fm to get consistent metadata and identify tracks via fingerprinting when metadata is missing. The key steps are fingerprinting audio to identify tracks, using metadata from sources to fill in artist, album, genre and image tags, and writing this standardized metadata to music files. The goal is to make it easy for people to consistently name and tag their music collections.Mp25: Mobile dev with QT and Python for the Notorious N9
Mp25: Mobile dev with QT and Python for the Notorious N9Montreal Python
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This document discusses mobile development using Qt and Python for the Nokia N9 smartphone. It begins with introductions from Angelique Mannella of Nokia and Antoine Reversat of Ubity. The agenda then outlines an introduction to Qt, how Python integrates with Qt and Nokia, and a demo of PySide on the N9. Qt is a cross-platform framework used widely, including at Nokia. Python bindings like PyQt and PySide allow Python development for Qt applications. Nokia supports Python for mobile development through projects like PyS60, PyMaemo, and Harmattan Python.Mp25 Message Switching for Actor Based Designs
Mp25 Message Switching for Actor Based DesignsMontreal Python
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Jean-Lou Dupont developed a Python implementation of the actor model design pattern called mswitch that facilitates message passing between loosely coupled actors. mswitch acts as an anonymous message bus that connects actors, allowing first-time messages to be broadcast to all interested actors and subsequent messages to only be delivered to explicitly interested actors. Actors connect to mswitch and can send and receive messages, with mswitch handling the routing. This implementation supports both inter-process and intra-process communication between distributed actors.Mp24: Python in gaming industry
Mp24: Python in gaming industryMontreal Python
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Python is commonly used for scripting in AAA game development. It is used in 3D modeling software like Maya and MotionBuilder for tasks like automating build steps. Python scripts can be used for continuous integration tasks like compiling code overnight and reporting errors the next morning. Python is also used for custom build steps, code analysis, debugging, and log file analysis. It allows integrating tools and streamlining workflows.
Mp24: The Bachelor, a facebook game
Mp24: The Bachelor, a facebook gameMontreal Python
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The document describes the development of a reality dating game show called "The Bachelor". It discusses the competition format where contestants are eliminated in rounds. It also mentions a Facebook game that allows the audience to play. The development team behind the game show is named. The key libraries, architecture, and infrastructure used in developing the game are outlined, including the use of MongoDB and feature testing with Lettuce. Facebook integration and its issues are also covered.Recently uploaded (20)
UiPath Document Understanding - Generative AI and Active learning capabilities
UiPath Document Understanding - Generative AI and Active learning capabilitiesDianaGray10
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This session focus on Generative AI features and Active learning modern experience with Document understanding.
Topics Covered:
Overview of Document Understanding
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Q/A
? If you have any questions or feedback, please refer to the "Women in Automation 2025" dedicated Forum thread. You can find there extra details and updates. UiPath Automation Developer Associate Training Series 2025 - Session 2
UiPath Automation Developer Associate Training Series 2025 - Session 2DianaGray10
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In session 2, we will introduce you to Data manipulation in UiPath Studio.
Topics covered:
Data Manipulation
What is Data Manipulation
Strings
Lists
Dictionaries
RegEx Builder
Date and Time
Required Self-Paced Learning for this session:
Data Manipulation with Strings in UiPath Studio (v2022.10) 2 modules - 1h 30m - https://academy.uipath.com/courses/data-manipulation-with-strings-in-studio
Data Manipulation with Lists and Dictionaries in UiPath Studio (v2022.10) 2 modules - 1h - https:/academy.uipath.com/courses/data-manipulation-with-lists-and-dictionaries-in-studio
Data Manipulation with Data Tables in UiPath Studio (v2022.10) 2 modules - 1h 30m - https:/academy.uipath.com/courses/data-manipulation-with-data-tables-in-studio
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Cloud of everything Tech of the 21 century in AviationAssem mousa
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AI, Block chain, Digital Currency, Cloud, Cloud of Things, Tactile Internet, Digital Twins, IOT, AR, VR, MR, U commerce, data and robotics."
BoxLang JVM Language : The Future is Dynamic
BoxLang JVM Language : The Future is DynamicOrtus Solutions, Corp
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Just like life, our code must evolve to meet the demands of an ever-changing world. Adaptability is key in developing for the web, tablets, APIs, or serverless applications. Multi-runtime development is the future, and that future is dynamic. Enter BoxLang: Dynamic. Modular. Productive. (www.boxlang.io)
BoxLang transforms development with its dynamic design, enabling developers to write expressive, functional code effortlessly. Its modular architecture ensures flexibility, allowing easy integration into your existing ecosystems.
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BoxLang boasts 100% interoperability with Java, seamlessly blending traditional and modern development practices. This opens up new possibilities for innovation and collaboration.
Multi-Runtime Versatility
From a compact 6MB OS binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, WebAssembly, Android, and more, BoxLang is designed to adapt to any runtime environment. BoxLang combines modern features from CFML, Node, Ruby, Kotlin, Java, and Clojure with the familiarity of Java bytecode compilation. This makes it the go-to language for developers looking to the future while building a solid foundation.
Empowering Creativity with IDE Tools
Unlock your creative potential with powerful IDE tools designed for BoxLang, offering an intuitive development experience that streamlines your workflow. Join us as we redefine JVM development and step into the era of BoxLang. Welcome to the future.
Brave Browser Crack 1.45.133 Activated 2025
Brave Browser Crack 1.45.133 Activated 2025kherorpacca00126
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Backstage Software Templates for Java Developers
Backstage Software Templates for Java DevelopersMarkus Eisele
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As a Java developer you might have a hard time accepting the limitations that you feel being introduced into your development cycles. Let's look at the positives and learn everything important to know to turn Backstag's software templates into a helpful tool you can use to elevate the platform experience for all developers.Transform Your Future with Front-End Development Training
Transform Your Future with Front-End Development TrainingVtechlabs
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Kickstart your career in web development with our front-end web development course in Vadodara. Learn HTML, CSS, JavaScript, React, and more through hands-on projects and expert mentorship. Our front-end development course with placement includes real-world training, mock interviews, and job assistance to help you secure top roles like Front-End Developer, UI/UX Developer, and Web Designer.
Join VtechLabs today and build a successful career in the booming IT industry![Webinar] Scaling Made Simple: Getting Started with No-Code Web Apps![[Webinar] Scaling Made Simple: Getting Started with No-Code Web Apps](https://cdn.slidesharecdn.com/ss_thumbnails/webinarscalingmadesimplegettingstartedwithno-codewebapps-mar52025-250305183437-f03c78a3-thumbnail.jpg?width=560&fit=bounds)
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Ready to simplify workflow sharing across your organization without diving into complex coding? With FME Flow Apps, you can build no-code web apps that make your data work harder for you ¡ª fast.
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Through real-world examples and practical demos, you¡¯ll learn how to transform your workflows into intuitive, self-serve solutions that empower your team and save you time. We can¡¯t wait to show you what¡¯s possible!MIND Revenue Release Quarter 4 2024 - Finacial Presentation
MIND Revenue Release Quarter 4 2024 - Finacial PresentationMIND CTI
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MIND Revenue Release Quarter 4 2024 - Finacial PresentationUnderstanding Traditional AI with Custom Vision & MuleSoft.pptx
Understanding Traditional AI with Custom Vision & MuleSoft.pptxshyamraj55
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Understanding Traditional AI with Custom Vision & MuleSoft.pptx | ### ºÝºÝߣ Deck Description:
This presentation features Atul, a Senior Solution Architect at NTT DATA, sharing his journey into traditional AI using Azure's Custom Vision tool. He discusses how AI mimics human thinking and reasoning, differentiates between predictive and generative AI, and demonstrates a real-world use case. The session covers the step-by-step process of creating and training an AI model for image classification and object detection¡ªspecifically, an ad display that adapts based on the viewer's gender. Atulavan highlights the ease of implementation without deep software or programming expertise. The presentation concludes with a Q&A session addressing technical and privacy concerns.
Future-Proof Your Career with AI Options
Future-Proof Your Career with AI OptionsDianaGray10
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Learn about the difference between automation, AI and agentic and ways you can harness these to further your career. In this session you will learn:
Introduction to automation, AI, agentic
Trends in the marketplace
Take advantage of UiPath training and certification
In demand skills needed to strategically position yourself to stay ahead
? If you have any questions or feedback, please refer to the "Women in Automation 2025" dedicated Forum thread. You can find there extra details and updates.THE BIG TEN BIOPHARMACEUTICAL MNCs: GLOBAL CAPABILITY CENTERS IN INDIA
THE BIG TEN BIOPHARMACEUTICAL MNCs: GLOBAL CAPABILITY CENTERS IN INDIASrivaanchi Nathan
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This business intelligence report, "The Big Ten Biopharmaceutical MNCs: Global Capability Centers in India", provides an in-depth analysis of the operations and contributions of the Global Capability Centers (GCCs) of ten leading biopharmaceutical multinational corporations in India. The report covers AstraZeneca, Bayer, Bristol Myers Squibb, GlaxoSmithKline (GSK), Novartis, Sanofi, Roche, Pfizer, Novo Nordisk, and Eli Lilly. In this report each company's GCC is profiled with details on location, workforce size, investment, and the strategic roles these centers play in global business operations, research and development, and information technology and digital innovation.
Unlocking DevOps Secuirty :Vault & Keylock
Unlocking DevOps Secuirty :Vault & KeylockHusseinMalikMammadli
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DevOps i? t?hl¨¹k?sizliyi sizi maraqland?r?r? ?st?r developer, ist?r t?hl¨¹k?sizlik m¨¹h?ndisi, ist?rs? d? DevOps h?v?skar? olun, bu t?dbir ??b?k?l??m?k, bilikl?rinizi b?l¨¹?m?k v? DevSecOps sah?sind? ?n son t?cr¨¹b?l?ri ?yr?nm?k ¨¹?¨¹n m¨¹k?mm?l f¨¹rs?tdir!
Bu workshopda DevOps infrastrukturlar?n?n t?hl¨¹k?sizliyini nec? art?rmaq bar?d? dan??acay?q. DevOps sisteml?ri qurulark?n avtomatla?d?r?lm??, y¨¹ks?k ?l?atan v? etibarl? olmas? il? yana??, h?m d? t?hl¨¹k?sizlik m?s?l?l?ri n?z?r? al?nmal?d?r. Bu s?b?bd?n, DevOps komandolar?n?n t?hl¨¹k?sizliy? y?n?lmi? praktikalara riay?t etm?si vacibdir.A Framework for Model-Driven Digital Twin Engineering
A Framework for Model-Driven Digital Twin EngineeringDaniel Lehner
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ºÝºÝߣs from my PhD Defense at Johannes Kepler University, held on Janurary 10, 2025.
The full thesis is available here: https://epub.jku.at/urn/urn:nbn:at:at-ubl:1-83896Gojek Clone Multi-Service Super App.pptx
Gojek Clone Multi-Service Super App.pptxV3cube
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Gojek Clone is a versatile multi-service super app that offers ride-hailing, food delivery, payment services, and more, providing a seamless experience for users and businesses alike on a single platform.
Mp26 : A Quick Introduction to NetworkX
- 1. A Quick Introduction to NetworkX Putra Manggala Montreal-Python 26 December 19, 2011
- 2. NETWORKX. A Python package to analyze networks and graphs. Many algorithms implemented (Combinatorics, Network analysis, Network ?ows, etc). Easy visualization via Matplotlib.
- 3. NETWORKS/GRAPHS. Networks/Graphs consist of: Vertices/Nodes: Singletons in your model. Edges: Connections between the vertices.
- 4. GRAPH EXAMPLE 1. A toy graph with 5 nodes.
- 5. GRAPH EXAMPLE 2. All the graphs with 6 nodes or less. 1 1 http://networkx.lanl.gov/examples/drawing/atlas.html
- 6. GRAPH EXAMPLE 3. A network of books about US politics published around the time of the 2004 presidential election and sold by the online bookseller Amazon.com. 2 Edges between books represent frequent copurchasing of books by the same buyers. 2 http://www-personal.umich.edu/ mejn/netdata/
- 9. GRAPH EXAMPLE 3. Visualization of the dataset.
- 10. GRAPH EXAMPLE 3 - CLIQUE ANALYSIS. Clique analysis. 3 3 A clique is a set of nodes in which every node is connected to every other node.
- 11. GRAPH EXAMPLE 3 - CLIQUE ANALYSIS. Clique analysis. 3 Some simple statistics on the cliques: 3 A clique is a set of nodes in which every node is connected to every other node.
- 12. GRAPH EXAMPLE 3 - CLIQUE ANALYSIS. Some intuition for the cliques: They are the set of books that are often bought together by the same buyer (at any one time!)
- 13. GRAPH EXAMPLE 3 - CLIQUE ANALYSIS. Some intuition for the cliques: They are the set of books that are often bought together by the same buyer (at any one time!)
- 14. GRAPH EXAMPLE 3 - CLIQUE ANALYSIS. Visualization of the ones often bought in bulk.
- 15. GRAPH EXAMPLE 3 - CLIQUE ANALYSIS. Visualization of the ones often bought in bulk.
- 16. REFERENCES https://github.com/drewconway/NetworkX_ Intro_Materials. http://networkx.lanl.gov/ http: //github.com/pmangg/NetworkX_MontrealPython Networks, Crowds, and Markets: Reasoning About a Highly Connected World (Easley and Kleinberg 2010).