This document appears to be a transcript of a CS50 course that covers various computing topics through examples and exercises in C programming language. It introduces concepts like input/output, representation of data in binary, algorithms, conditionals, loops, functions, and debugging techniques. Code snippets are provided throughout to demonstrate different programming constructs.
Microsoft Office 365 Power User Training - Key Business Scenarios that Drive ...David J Rosenthal
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Event Mesh: The architecture layer that will power your digital transformationSAP Cloud Platform
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Solace and SAP Presentation at Gartner Symposium on November 6, 2018
Crispin Clarke, SVP Europe, at Solace
Harsh Jegadeesan, Head of Product Management, Integration Platform, at SAP
Interactive Analytics with the Starburst Presto + Alluxio stack for the CloudAlluxio, Inc.
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Alluxio Tech Talk
Mar 12, 2019
Speaker:
Bin Fan, Alluxio
Matt Fuller, Starburst
As data analytic needs have increased with the explosion of data, the importance of the speed of analytics and the interactivity of queries has increased dramatically
In this tech talk, we will introduce the Starburst Presto, Alluxio, and cloud object store stack for building a highly-concurrent and low-latency analytics platform. This stack provides a strong solution to run fast SQL across multiple storage systems including HDFS, S3, and others in public cloud, hybrid cloud, and multi-cloud environments.
Youll learn about:
- The architecture of Presto, an open source distributed SQL engine, as well as innovations by Starburst like as its cost-based optimizer
- How Presto can query data from cloud object storage like S3 at high performance and cost-effectively with Alluxio
- How to achieve data locality and cross-job caching with Alluxio no matter where the data is persisted and reduce egress costs
In addition, well present some real world architectures & use cases from internet companies like JD.com and NetEase.com running the Presto and Alluxio stack at the scale of hundreds of nodes.
This document discusses Microsoft Office 365, a cloud-based productivity suite. It provides an overview of cloud computing benefits and Office 365 features and subscription plans for small businesses and enterprises. Key capabilities of Office 365 plans include Exchange email, SharePoint collaboration, online meetings and Office Web Apps. The presentation compares Office 365 to on-premise installations and Google Apps and is sponsored by SNP Technologies, a technology consulting firm.
Advancing GPU Analytics with RAPIDS Accelerator for Spark and AlluxioAlluxio, Inc.
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This document discusses accelerating Apache Spark workloads using RAPIDS Accelerator for Spark and Alluxio. It provides an introduction to RAPIDS Accelerator for Spark, shows significant performance gains over CPU-only Spark, and discusses combining GPU acceleration with Alluxio for optimized performance and cost on cloud datasets. Configuration options for RAPIDS and Alluxio are also covered.
NiFi Best Practices for the EnterpriseGregory Keys
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The document discusses best practices for implementing Apache NiFi in an enterprise. It recommends establishing a Center of Excellence (COE) to align stakeholders, provide guidance, and develop standards and processes for NiFi deployment. The COE should work with business leaders to understand data flow needs and ensure NiFi is delivering business value. When scaling NiFi across a large enterprise, it may make sense to have multiple semi-autonomous NiFi clusters for different business groups rather than one large cluster. Reusable templates, components, and patterns can help with development efficiencies.
This document provides an overview and introduction to the CS50 course. It covers topics like problem set 0, sectioning, office hours, basic C syntax like main functions and printf statements, variables, data types, libraries, operators, and compiling and running programs. Code snippets and explanations are provided for many core programming concepts.
This document describes the introductory CS50 course. It includes code examples in C for a simple "Hello World" program. It explains the process of compiling, preprocessing, assembling and linking code. It also references libraries like cs50.h and stdio.h that are used in programs. Binary numbers and ASCII values are shown that relate to the compiled code.
The document describes the process of compiling and linking a C program that prints "hello, world" using the CS50 library. It includes the source code for the program, shows the preprocessing, compiling, assembling and linking steps, and lists the header files (#include) and function declarations needed from the CS50 and standard I/O libraries.
The document describes the process of compiling and linking a C program that prints "hello, world" using the CS50 library. It includes the source code for the program, shows the preprocessing, compiling, assembling and linking steps, and lists the header files (#include) and function declarations needed from the CS50 and standard I/O libraries.
Hash Functions, the MD5 Algorithm and the Future (SHA-3)Dylan Field
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The document discusses hash functions and the MD5 algorithm. It explains that a hash function maps inputs of arbitrary size to outputs of a fixed size, and that it is virtually impossible to derive the input given only the hash output. The document then provides a detailed overview of how the MD5 algorithm works, including converting the input to binary, padding it to a multiple of 512 bits, breaking it into 512-bit blocks, assigning initialization values, and performing 64 rounds of logical operations on each block that combines it with the output of the previous block.
A C# coding challenge to solve a range of mazes with differing dimensions and styles. The total run time was considerably less than a target maximum run time.
More than other machine learning techniques, neural networks
have been shown to excel at tasks where humans traditionally
outperform computers: recognizing objects in images, distinguishing spoken words from background noise or playing Go. These are hard problems, where hand-crafting a solution is rarely feasible due to its inherent complexity. Higher level program comprehension is not dissimilar in nature: while a compiler or program analysis tool can quickly extract certain facts from (correctly written) code, it has no intrinsic understanding of the data and for the majority of real-world problems in program comprehension, a human developer is needed - for example to find and fix a bug or to summarize the bahavior of a method.
We perform a pilot study to determine the suitability of neural networks for processing plain-text source code. We find that, on one hand, neural machine translation is too fragile to accurately tokenize code, while on the other hand, it can precisely recognize different types of tokens and make accurate guesses regarding their relative position in the local syntax tree. Our results suggest that neural machine translation may be exploited for annotating and enriching out-of-context code snippets to support automated tooling for code comprehension problems. We also identify
several challenges in applying neural networks to learning from source code and determine key differences between the application of existing neural network models to source code instead of natural language.
The document defines constants for the bit patterns of various alphanumeric characters and symbols using hexadecimal values. It then defines arrays to store these patterns and functions to display the patterns on a 7-segment display by shifting the bit patterns and latching them to the display driver. When serial data is received, the appropriate character patterns are copied to a display array which is then scrolled on the display using the defined functions.
The document defines constants for binary representations of letters, numbers, and punctuation symbols. It then defines functions for displaying these symbols on a scrolling LED display using shift registers and SPI communication. The main loop calls the display function to scroll the text "HI WORLD" across the LED display.
The document contains code for a C program that uses the sizeof operator to print the sizes of various data types including int, char, float, and double. The program defines a main function containing an integer variable x. It then uses sizeof and printf statements to output the sizes of x, char, int, short, long, float, and double.
AI has already changed software development.pdfRadam辿s Roriz
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The lodash for GenAI, stop reinventing the wheel - ActiveGenie
Generative AI is already changing how companies build software, integrating it often feels like reinventing the wheel with every new use case. In this talk, Ill introduce ActiveGenie, a Ruby gem designed to help teams build GenAI.
Managing Changing Data with FME Part 1 - Compare & DetectSafe Software
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Data changes are inevitable, but keeping up doesnt have to be a struggle. Are you still manually tracking updates or managing unwieldy scripts? Thats a time-sink. Automate change detection with FME and ensure your data stays up-to-date without the hassle.
Discover how FMEs powerful transformers, like the ChangeDetector, can compare and detect changes to your data, automating incremental updates to keep your data warehouse and other systems synchronized in real-time.
While many tools can achieve this, they often lack support for spatial data or require complex, time-consuming processes. With FME, you get a flexible, intuitive platform that supports all data types, making change detection simple and efficient.
Join this webinar to learn change management strategies from demos that include:
- Detecting changes in your data
- Detecting changes in spatial data
- Incremental updates and data synchronization
- and more!
With FME, change is no longer something to fear. Because no matter what type of data you have, or at what stage it is in your workflow, FME makes working with change easy.
* This is part 1 of a 2-part series on managing changing data with FME. Stay tuned for Part 2 in the weeks to follow, where well cover further change-detection methods like database triggers and transaction logs!
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Lumion is a powerful 3D rendering software designed for architects, designers, and visualization professionals. It allows users to create Lumen5 is a video creation platform powered by AI that enables anyone without training or experience to easily create engaging video content within minutes.
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Kaspersky is one of the leading antivirus companies with a perfect background in antivirus solutions. Kaspersky offers its customers state-of-the-art antivirus solutions and security products to protect their systems from all digital threats.
Kaspersky is one of the leading antivirus companies with a perfect background in antivirus solutions. Kaspersky offers its customers state-of-the-art antivirus solutions and security products to protect their systems from all digital threats.
Unfortunately, various errors may occur when you try to uninstall these products via the built-in uninstaller in Windows. Might not uninstall the applications entirely; remnants of the programs may still be found on your system. It is a small utility that enables you to uninstall various Kaspersky products from your computer easily.
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TVersity Pro Media Server CRACK is an awesome application that has been developed which will help you detect and share multimedia files on the Internet. With this stellar application you can play as well as record online audio/video content.
HeadSpin Alternatives with Better ROI: Top Tools ComparedShubham Joshi
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Pricing is often a dealbreaker. If you're looking for better cost-efficiency without compromising on capabilities, these HeadSpin alternatives are worth exploring. This article compares their pricing models, feature-to-cost ratio, and customer support responsiveness. It helps QA leads and decision-makers find tools that align with their budgets while maximizing ROI on testing efforts.
Marketo User Group - Singapore - April 2025BradBedford3
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Singapore MUG: Elevate Your Marketo Game!
Marketo at Adobe Summit: Get the latest updates on Marketo's roadmap and highlights, including the new GenAI-powered email designer. Learn how this no-code tool is revolutionizing email marketing.
AI-Powered Email Marketing: See how Marketo Engages new features, like the AI Assistant and Adobe Express integrations, are helping teams create professional, on-brand emails effortlessly.
Business Outcomes with Marketo x SFDC: Explore how the integration of Marketo and Salesforce (SFDC) can enhance lead management, improve collaboration, and optimize campaign performance. Gain actionable insights from Andrew Ong on best practices for data synchronization, lead scoring, and more.
Java and AI with LangChain4j: Jakarta EE gets AIEdward Burns
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Generative AI burst on to the public scene in November 2022, over ten years after Andrew Ngs Machine Learning premiered on Coursera. Java developers have long felt like second class citizens, compared to the cool Python kids. LangChain4J changes the game. Java is cool with AI now! This lecture from 30-year industry veteran Ed Burns explores why it took so long for Java developers to have access to easy-to-use AI libraries, compared to Python developers. LangChain4J is the most popular of the Java libraries, but others exist. After a brief look at the landscape, well take a deeper look at LangChain4J and how you use it to perform the most popular AI usage pattern: Retrieval Augmented Generation (RAG). RAG is basically a way to bring your own domain specific data to an existing AI model, and benefit from its power.
Software Architecture and Design in the Age of Code Assist tools.pdfManu Pk
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Code Assist tools, powered by advanced AI and machine learning algorithms, provide developers with real-time suggestions, code completions, and even automated refactoring. This has led to more efficient and error-free coding practices. We see more and more adoption of these tools by developers, they are faster and more productive in what they do. In this session I would like to explore the evolving role of Software Architects in future scenarios.
I looks at following topics,
-Bird eye view of developer assist tools across SDLC lifecycle
-Claims vs actual impact - Early feedback from real world data
-Future development & Architectural landscape
-What should I start do today to ride this powerful technology?
This document provides an overview and introduction to the CS50 course. It covers topics like problem set 0, sectioning, office hours, basic C syntax like main functions and printf statements, variables, data types, libraries, operators, and compiling and running programs. Code snippets and explanations are provided for many core programming concepts.
This document describes the introductory CS50 course. It includes code examples in C for a simple "Hello World" program. It explains the process of compiling, preprocessing, assembling and linking code. It also references libraries like cs50.h and stdio.h that are used in programs. Binary numbers and ASCII values are shown that relate to the compiled code.
The document describes the process of compiling and linking a C program that prints "hello, world" using the CS50 library. It includes the source code for the program, shows the preprocessing, compiling, assembling and linking steps, and lists the header files (#include) and function declarations needed from the CS50 and standard I/O libraries.
The document describes the process of compiling and linking a C program that prints "hello, world" using the CS50 library. It includes the source code for the program, shows the preprocessing, compiling, assembling and linking steps, and lists the header files (#include) and function declarations needed from the CS50 and standard I/O libraries.
Hash Functions, the MD5 Algorithm and the Future (SHA-3)Dylan Field
油
The document discusses hash functions and the MD5 algorithm. It explains that a hash function maps inputs of arbitrary size to outputs of a fixed size, and that it is virtually impossible to derive the input given only the hash output. The document then provides a detailed overview of how the MD5 algorithm works, including converting the input to binary, padding it to a multiple of 512 bits, breaking it into 512-bit blocks, assigning initialization values, and performing 64 rounds of logical operations on each block that combines it with the output of the previous block.
A C# coding challenge to solve a range of mazes with differing dimensions and styles. The total run time was considerably less than a target maximum run time.
More than other machine learning techniques, neural networks
have been shown to excel at tasks where humans traditionally
outperform computers: recognizing objects in images, distinguishing spoken words from background noise or playing Go. These are hard problems, where hand-crafting a solution is rarely feasible due to its inherent complexity. Higher level program comprehension is not dissimilar in nature: while a compiler or program analysis tool can quickly extract certain facts from (correctly written) code, it has no intrinsic understanding of the data and for the majority of real-world problems in program comprehension, a human developer is needed - for example to find and fix a bug or to summarize the bahavior of a method.
We perform a pilot study to determine the suitability of neural networks for processing plain-text source code. We find that, on one hand, neural machine translation is too fragile to accurately tokenize code, while on the other hand, it can precisely recognize different types of tokens and make accurate guesses regarding their relative position in the local syntax tree. Our results suggest that neural machine translation may be exploited for annotating and enriching out-of-context code snippets to support automated tooling for code comprehension problems. We also identify
several challenges in applying neural networks to learning from source code and determine key differences between the application of existing neural network models to source code instead of natural language.
The document defines constants for the bit patterns of various alphanumeric characters and symbols using hexadecimal values. It then defines arrays to store these patterns and functions to display the patterns on a 7-segment display by shifting the bit patterns and latching them to the display driver. When serial data is received, the appropriate character patterns are copied to a display array which is then scrolled on the display using the defined functions.
The document defines constants for binary representations of letters, numbers, and punctuation symbols. It then defines functions for displaying these symbols on a scrolling LED display using shift registers and SPI communication. The main loop calls the display function to scroll the text "HI WORLD" across the LED display.
The document contains code for a C program that uses the sizeof operator to print the sizes of various data types including int, char, float, and double. The program defines a main function containing an integer variable x. It then uses sizeof and printf statements to output the sizes of x, char, int, short, long, float, and double.
AI has already changed software development.pdfRadam辿s Roriz
油
The lodash for GenAI, stop reinventing the wheel - ActiveGenie
Generative AI is already changing how companies build software, integrating it often feels like reinventing the wheel with every new use case. In this talk, Ill introduce ActiveGenie, a Ruby gem designed to help teams build GenAI.
Managing Changing Data with FME Part 1 - Compare & DetectSafe Software
油
Data changes are inevitable, but keeping up doesnt have to be a struggle. Are you still manually tracking updates or managing unwieldy scripts? Thats a time-sink. Automate change detection with FME and ensure your data stays up-to-date without the hassle.
Discover how FMEs powerful transformers, like the ChangeDetector, can compare and detect changes to your data, automating incremental updates to keep your data warehouse and other systems synchronized in real-time.
While many tools can achieve this, they often lack support for spatial data or require complex, time-consuming processes. With FME, you get a flexible, intuitive platform that supports all data types, making change detection simple and efficient.
Join this webinar to learn change management strategies from demos that include:
- Detecting changes in your data
- Detecting changes in spatial data
- Incremental updates and data synchronization
- and more!
With FME, change is no longer something to fear. Because no matter what type of data you have, or at what stage it is in your workflow, FME makes working with change easy.
* This is part 1 of a 2-part series on managing changing data with FME. Stay tuned for Part 2 in the weeks to follow, where well cover further change-detection methods like database triggers and transaction logs!
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Lumion is a powerful 3D rendering software designed for architects, designers, and visualization professionals. It allows users to create Lumen5 is a video creation platform powered by AI that enables anyone without training or experience to easily create engaging video content within minutes.
艶COPY LINK & PASTE ON GOOGLE https://9to5mac.org/after-verification-click-go-to-download-page
Kaspersky is one of the leading antivirus companies with a perfect background in antivirus solutions. Kaspersky offers its customers state-of-the-art antivirus solutions and security products to protect their systems from all digital threats.
Kaspersky is one of the leading antivirus companies with a perfect background in antivirus solutions. Kaspersky offers its customers state-of-the-art antivirus solutions and security products to protect their systems from all digital threats.
Unfortunately, various errors may occur when you try to uninstall these products via the built-in uninstaller in Windows. Might not uninstall the applications entirely; remnants of the programs may still be found on your system. It is a small utility that enables you to uninstall various Kaspersky products from your computer easily.
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TVersity Pro Media Server CRACK is an awesome application that has been developed which will help you detect and share multimedia files on the Internet. With this stellar application you can play as well as record online audio/video content.
HeadSpin Alternatives with Better ROI: Top Tools ComparedShubham Joshi
油
Pricing is often a dealbreaker. If you're looking for better cost-efficiency without compromising on capabilities, these HeadSpin alternatives are worth exploring. This article compares their pricing models, feature-to-cost ratio, and customer support responsiveness. It helps QA leads and decision-makers find tools that align with their budgets while maximizing ROI on testing efforts.
Marketo User Group - Singapore - April 2025BradBedford3
油
Singapore MUG: Elevate Your Marketo Game!
Marketo at Adobe Summit: Get the latest updates on Marketo's roadmap and highlights, including the new GenAI-powered email designer. Learn how this no-code tool is revolutionizing email marketing.
AI-Powered Email Marketing: See how Marketo Engages new features, like the AI Assistant and Adobe Express integrations, are helping teams create professional, on-brand emails effortlessly.
Business Outcomes with Marketo x SFDC: Explore how the integration of Marketo and Salesforce (SFDC) can enhance lead management, improve collaboration, and optimize campaign performance. Gain actionable insights from Andrew Ong on best practices for data synchronization, lead scoring, and more.
Java and AI with LangChain4j: Jakarta EE gets AIEdward Burns
油
Generative AI burst on to the public scene in November 2022, over ten years after Andrew Ngs Machine Learning premiered on Coursera. Java developers have long felt like second class citizens, compared to the cool Python kids. LangChain4J changes the game. Java is cool with AI now! This lecture from 30-year industry veteran Ed Burns explores why it took so long for Java developers to have access to easy-to-use AI libraries, compared to Python developers. LangChain4J is the most popular of the Java libraries, but others exist. After a brief look at the landscape, well take a deeper look at LangChain4J and how you use it to perform the most popular AI usage pattern: Retrieval Augmented Generation (RAG). RAG is basically a way to bring your own domain specific data to an existing AI model, and benefit from its power.
Software Architecture and Design in the Age of Code Assist tools.pdfManu Pk
油
Code Assist tools, powered by advanced AI and machine learning algorithms, provide developers with real-time suggestions, code completions, and even automated refactoring. This has led to more efficient and error-free coding practices. We see more and more adoption of these tools by developers, they are faster and more productive in what they do. In this session I would like to explore the evolving role of Software Architects in future scenarios.
I looks at following topics,
-Bird eye view of developer assist tools across SDLC lifecycle
-Claims vs actual impact - Early feedback from real world data
-Future development & Architectural landscape
-What should I start do today to ride this powerful technology?
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Async Excellence Unlocking Scalability with Kafka - Devoxx GreeceNatan Silnitsky
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How do you scale 4,000 microservices while tackling latency, bottlenecks, and fault tolerance? At Wix, Kafka powers our event-driven architecture with practical patterns that enhance scalability and developer velocity.
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