This document provides an executable cheatsheet for using the pyExcelerator and xlwt Python libraries to generate Excel files. It illustrates common formatting, styling, and layout techniques like adding borders, wrapping text, freezing panes, and saving the workbook. The document recommends using xlwt, which is an active fork of pyExcelerator, and provides links to documentation and examples.
This document provides a summary of common template and variable names in Drupal themes. It lists variables available in common template files like page.tpl.php, node.tpl.php, and block.tpl.php. It also includes code snippets for common sections in html.tpl.php like the header, logo, site name, and menus. The document aims to serve as a cheatsheet for Drupal template files and variables.
This document provides documentation on how to configure and customize the Wayfinder and Breadcrumbs snippets in MODx. It describes the various parameters that can be set for each snippet to control things like which templates are used, CSS classes, which fields are displayed, and more. Templates, placeholders, and general processing order are also outlined to help developers customize the output.
This document summarizes a presentation about moving from Python to Scala. It highlights things that are missed in Python like closures and easy concurrency. Scala is described as a compiled and interpreted language that runs on the JVM and is both object-oriented and functional. Key features of Scala discussed include its powerful type system, support for immutable data structures, pattern matching, actors model for concurrency, and ability to interface with Java libraries. In conclusion, Scala is said to be very powerful but also difficult to learn, making it a good complement to Python for performance-critical or scalable projects.
This document provides an overview of AutoIt, including installation notes, a comparison of its features to another language, types of functions available, and some commonly used commands. It highlights that the current version is 3.3.0.0 but there is a bug in the help file. It also lists some references for additional AutoIt information and resources.
This chapter discusses string manipulation in PHP. It covers constructing strings, working with single and multiple strings, parsing strings, comparing strings, and using regular expressions. Some key functions covered include strlen() to count string characters, str_word_count() to count words, and strpos() to find the position of one string within another. The chapter also discusses escaping characters, modifying string case, encoding/decoding strings, trimming strings, and splitting strings into arrays.
Spread syntax and rest syntax allow iterable objects like arrays and strings to be expanded in function calls, array literals, and object literals. Spread syntax spreads the elements into separate arguments/elements, while rest syntax collects remaining elements into a single variable. Tagged template literals allow functions to operate on template literal strings before they are evaluated. Decorators propose a way to annotate and modify classes and class elements.
A set of rules and best practices to write bash shell scripts. Following these rules, you will have less programming errors and spend less time debugging.
It also shows and explains a lot of features from bash you didn't event know existed :
Pattern removal: ${var##*/}
StrReplace: ${var//search/replace}
Options: set -o pipefail -o nounset -o noclobber
And many more...
This document summarizes Perl predefined variables, listing the variable name, description, and example use for each. There are over 50 predefined variables described, including scalars like $_, arrays like @ARGV, and hashes like %ENV that provide useful information and functionality to Perl programs.
This document provides a summary of common template and variable names in Drupal themes. It lists variables available in common template files like page.tpl.php, node.tpl.php, and block.tpl.php. It also includes code snippets for common sections in html.tpl.php like the header, logo, site name, and menus. The document aims to serve as a cheatsheet for Drupal template files and variables.
This document provides documentation on how to configure and customize the Wayfinder and Breadcrumbs snippets in MODx. It describes the various parameters that can be set for each snippet to control things like which templates are used, CSS classes, which fields are displayed, and more. Templates, placeholders, and general processing order are also outlined to help developers customize the output.
This document summarizes a presentation about moving from Python to Scala. It highlights things that are missed in Python like closures and easy concurrency. Scala is described as a compiled and interpreted language that runs on the JVM and is both object-oriented and functional. Key features of Scala discussed include its powerful type system, support for immutable data structures, pattern matching, actors model for concurrency, and ability to interface with Java libraries. In conclusion, Scala is said to be very powerful but also difficult to learn, making it a good complement to Python for performance-critical or scalable projects.
This document provides an overview of AutoIt, including installation notes, a comparison of its features to another language, types of functions available, and some commonly used commands. It highlights that the current version is 3.3.0.0 but there is a bug in the help file. It also lists some references for additional AutoIt information and resources.
This chapter discusses string manipulation in PHP. It covers constructing strings, working with single and multiple strings, parsing strings, comparing strings, and using regular expressions. Some key functions covered include strlen() to count string characters, str_word_count() to count words, and strpos() to find the position of one string within another. The chapter also discusses escaping characters, modifying string case, encoding/decoding strings, trimming strings, and splitting strings into arrays.
Spread syntax and rest syntax allow iterable objects like arrays and strings to be expanded in function calls, array literals, and object literals. Spread syntax spreads the elements into separate arguments/elements, while rest syntax collects remaining elements into a single variable. Tagged template literals allow functions to operate on template literal strings before they are evaluated. Decorators propose a way to annotate and modify classes and class elements.
A set of rules and best practices to write bash shell scripts. Following these rules, you will have less programming errors and spend less time debugging.
It also shows and explains a lot of features from bash you didn't event know existed :
Pattern removal: ${var##*/}
StrReplace: ${var//search/replace}
Options: set -o pipefail -o nounset -o noclobber
And many more...
This document summarizes Perl predefined variables, listing the variable name, description, and example use for each. There are over 50 predefined variables described, including scalars like $_, arrays like @ARGV, and hashes like %ENV that provide useful information and functionality to Perl programs.
The document discusses various string manipulation functions in PHP including:
1. Functions to search and extract parts of strings like strpos(), substr(), strstr().
2. Functions to decompose strings like explode(), strtok(), sscanf().
3. Functions to manipulate strings like str_replace(), strrev(), str_pad().
It provides examples of how to use each function, the required parameters, and sample code. The document also covers decomposing URLs using parse_url() and tokenizing strings.
This document presents information about positional parameters in Unix. Positional parameters are a series of special variables ($0 through $9) that contain the contents of the command line. $0 refers to the name of the shell or shell script, $# is the number of positional parameters, and $? is the exit status of the last command executed. Special characters like <, >, |, etc. are also discussed along with their usage in Unix shells.
The document provides an introduction to Perl programming and regular expressions. It begins with simple Perl programs to print text and take user input. It then covers executing external commands, variables, operators, loops, and file operations. The document also introduces regular expressions, explaining patterns, anchors, character classes, alternation, grouping, and repetition quantifiers. It provides examples and discusses principles for matching strings with regular expressions.
This document provides an overview of string functions and operations in PHP including: concatenating strings with operators, using single and double quotes, the heredoc syntax, string length with strlen(), finding substrings with strpos(), replacing substrings with str_replace(), converting case with strtoupper(), strtolower(), and ucfirst(), stripping whitespace with trim(), and examples of each.
The document discusses various techniques for querying databases and generating reports from the query results using Perl. It provides examples of using DBI and SQL to query databases and format output, techniques for binding variables, preparing queries, and fetching and printing rows. Additional examples show merging and transforming tabular data for different output formats.
Perl regular expressions provide powerful and flexible text processing capabilities. Regular expressions allow users to verify if input matches a text pattern within a larger body of text or replace text matching a pattern. The document discusses various regular expression operators like match, substitution, and translation operators and their modifiers. It also covers regular expression elements such as metacharacters, character classes, anchors, quantifiers, and backreferencing. Examples are provided to demonstrate the usage of different regular expression features in Perl programs.
This document provides instructions for Lab 4 of an information systems design course. The lab aims to build experience with fundamental PHP functions related to arrays, strings, and regular expressions. Students will modify PHP code snippets to work with multi-dimensional arrays, define and call functions, and perform string operations like searching and replacing text. The lab consists of 4 steps involving PHP code to demonstrate various PHP features and concepts.
This document provides an overview of the Perl programming language. It covers what Perl is, how to create and run Perl scripts, scalar and array variables, hashes, control structures like if/else and loops, file operations, and common Perl functions like split and join. Advanced Perl concepts like subroutines, regular expressions, and object-oriented programming are also mentioned. Resources for learning more about Perl like documentation, books, and mailing lists are provided at the end.
The document discusses Sankey diagrams and their use in representing energy transfers and calculating efficiency. Sankey diagrams show the different types and amounts of energy at each stage of a process. They use thicker lines to represent greater amounts of energy being transferred. The document gives an example of a Sankey diagram for electric power production that shows how much energy is wasted versus transferred to consumers. It also provides the equation for calculating efficiency based on useful energy transferred versus total energy supplied.
Higher levels of education are associated with lower unemployment rates. The data shows unemployment decreasing from 14.9% for those with less than a high school diploma to 1.9% for those with a doctoral degree. A regression analysis of the relationship between years of education and unemployment rate found the equation: Unemployment rate = 24.37 - 1.12(years of education). The conclusion is that increasing education lowers the risk of unemployment and encourages continuing one's studies to avoid unemployment.
This document contains a scatter plot showing median weekly earnings in 2010 based on educational attainment in the United States according to the Department of Labor and Statistics. It shows that earnings generally increase the more years spent in education, from $444 for 11 years of education (no high school diploma) to $1,610 for 20 years of education (professional degree). The analysis concludes that there is a relationship between educational attainment and earnings, with more education correlating with higher earnings.
A Sankey Framework for Energy and Exergy FlowsKamal Kannan
This document discusses using Sankey diagrams to represent energy and exergy flows at a national level. Sankey diagrams are effective tools for visualizing energy flows through complex systems. The document examines key features of national-level Sankey diagrams, including system boundaries, level of granularity, and loss representation. It analyzes how objectives like public awareness, supply security, renewable energy use, and efficiency can be addressed through different diagram designs. Overlaying energy and exergy Sankey diagrams provides a way to identify potential efficiency improvements by accounting for energy quality losses.
The document discusses determining the correlation between different sintering process variables. It provides background on scatter plots, correlation coefficients, and coefficient of determination. The results of analyzing correlations between green part dimensions vs sintered part dimensions, green weight vs dimensions, and other pairings are reported. Positive correlation was found between green and sintered dimensions, while other relationships showed no or negative correlation.
PowerPoint Data Driven Area Chart Pitch Deck Slide
Professional and Clean PowerPoint slides. Fully editable, perfect to impress your audience on your next presentation.
1. FULL HD Aspect Ratio: 16:9 (1900×1080)
2. Fully animated
3. Quickly, Easy and Fully Editable in PowerPoint (All Graphic Resizable and Editable)
4. Drag and Drop Images
5. Print Version Included (A4 Handouts Ready)
6. Retina Ready
7. Data charts (Editable via Excel)
8. Sync in SharePoint
9. Based on Master Slide
10. Pictures Placeholder Ready
11. PPTX and PPT Files
12. Vector icons as Shape
Note: Not need Photoshop – All Photos not included
Scatter diagrams, strong and weak correlation, positive and negative correlation, lines of best fit, extrapolation and interpolation. Aimed at UK level 2 students on Access and GCSE Maths courses.
This document contains a lesson on scatter plots, including:
- Definitions of scatter plots and ways to describe relationships in scatter plots using positive correlation, negative correlation, and no correlation
- Examples of making scatter plots and determining the relationships between variable pairs based on the plots
- A quiz with questions about making scatter plots from data and describing the correlations between variables
The document discusses various string manipulation functions in PHP including:
1. Functions to search and extract parts of strings like strpos(), substr(), strstr().
2. Functions to decompose strings like explode(), strtok(), sscanf().
3. Functions to manipulate strings like str_replace(), strrev(), str_pad().
It provides examples of how to use each function, the required parameters, and sample code. The document also covers decomposing URLs using parse_url() and tokenizing strings.
This document presents information about positional parameters in Unix. Positional parameters are a series of special variables ($0 through $9) that contain the contents of the command line. $0 refers to the name of the shell or shell script, $# is the number of positional parameters, and $? is the exit status of the last command executed. Special characters like <, >, |, etc. are also discussed along with their usage in Unix shells.
The document provides an introduction to Perl programming and regular expressions. It begins with simple Perl programs to print text and take user input. It then covers executing external commands, variables, operators, loops, and file operations. The document also introduces regular expressions, explaining patterns, anchors, character classes, alternation, grouping, and repetition quantifiers. It provides examples and discusses principles for matching strings with regular expressions.
This document provides an overview of string functions and operations in PHP including: concatenating strings with operators, using single and double quotes, the heredoc syntax, string length with strlen(), finding substrings with strpos(), replacing substrings with str_replace(), converting case with strtoupper(), strtolower(), and ucfirst(), stripping whitespace with trim(), and examples of each.
The document discusses various techniques for querying databases and generating reports from the query results using Perl. It provides examples of using DBI and SQL to query databases and format output, techniques for binding variables, preparing queries, and fetching and printing rows. Additional examples show merging and transforming tabular data for different output formats.
Perl regular expressions provide powerful and flexible text processing capabilities. Regular expressions allow users to verify if input matches a text pattern within a larger body of text or replace text matching a pattern. The document discusses various regular expression operators like match, substitution, and translation operators and their modifiers. It also covers regular expression elements such as metacharacters, character classes, anchors, quantifiers, and backreferencing. Examples are provided to demonstrate the usage of different regular expression features in Perl programs.
This document provides instructions for Lab 4 of an information systems design course. The lab aims to build experience with fundamental PHP functions related to arrays, strings, and regular expressions. Students will modify PHP code snippets to work with multi-dimensional arrays, define and call functions, and perform string operations like searching and replacing text. The lab consists of 4 steps involving PHP code to demonstrate various PHP features and concepts.
This document provides an overview of the Perl programming language. It covers what Perl is, how to create and run Perl scripts, scalar and array variables, hashes, control structures like if/else and loops, file operations, and common Perl functions like split and join. Advanced Perl concepts like subroutines, regular expressions, and object-oriented programming are also mentioned. Resources for learning more about Perl like documentation, books, and mailing lists are provided at the end.
The document discusses Sankey diagrams and their use in representing energy transfers and calculating efficiency. Sankey diagrams show the different types and amounts of energy at each stage of a process. They use thicker lines to represent greater amounts of energy being transferred. The document gives an example of a Sankey diagram for electric power production that shows how much energy is wasted versus transferred to consumers. It also provides the equation for calculating efficiency based on useful energy transferred versus total energy supplied.
Higher levels of education are associated with lower unemployment rates. The data shows unemployment decreasing from 14.9% for those with less than a high school diploma to 1.9% for those with a doctoral degree. A regression analysis of the relationship between years of education and unemployment rate found the equation: Unemployment rate = 24.37 - 1.12(years of education). The conclusion is that increasing education lowers the risk of unemployment and encourages continuing one's studies to avoid unemployment.
This document contains a scatter plot showing median weekly earnings in 2010 based on educational attainment in the United States according to the Department of Labor and Statistics. It shows that earnings generally increase the more years spent in education, from $444 for 11 years of education (no high school diploma) to $1,610 for 20 years of education (professional degree). The analysis concludes that there is a relationship between educational attainment and earnings, with more education correlating with higher earnings.
A Sankey Framework for Energy and Exergy FlowsKamal Kannan
This document discusses using Sankey diagrams to represent energy and exergy flows at a national level. Sankey diagrams are effective tools for visualizing energy flows through complex systems. The document examines key features of national-level Sankey diagrams, including system boundaries, level of granularity, and loss representation. It analyzes how objectives like public awareness, supply security, renewable energy use, and efficiency can be addressed through different diagram designs. Overlaying energy and exergy Sankey diagrams provides a way to identify potential efficiency improvements by accounting for energy quality losses.
The document discusses determining the correlation between different sintering process variables. It provides background on scatter plots, correlation coefficients, and coefficient of determination. The results of analyzing correlations between green part dimensions vs sintered part dimensions, green weight vs dimensions, and other pairings are reported. Positive correlation was found between green and sintered dimensions, while other relationships showed no or negative correlation.
PowerPoint Data Driven Area Chart Pitch Deck Slide
Professional and Clean PowerPoint slides. Fully editable, perfect to impress your audience on your next presentation.
1. FULL HD Aspect Ratio: 16:9 (1900×1080)
2. Fully animated
3. Quickly, Easy and Fully Editable in PowerPoint (All Graphic Resizable and Editable)
4. Drag and Drop Images
5. Print Version Included (A4 Handouts Ready)
6. Retina Ready
7. Data charts (Editable via Excel)
8. Sync in SharePoint
9. Based on Master Slide
10. Pictures Placeholder Ready
11. PPTX and PPT Files
12. Vector icons as Shape
Note: Not need Photoshop – All Photos not included
Scatter diagrams, strong and weak correlation, positive and negative correlation, lines of best fit, extrapolation and interpolation. Aimed at UK level 2 students on Access and GCSE Maths courses.
This document contains a lesson on scatter plots, including:
- Definitions of scatter plots and ways to describe relationships in scatter plots using positive correlation, negative correlation, and no correlation
- Examples of making scatter plots and determining the relationships between variable pairs based on the plots
- A quiz with questions about making scatter plots from data and describing the correlations between variables
Scatter plots are a quality tool used to show the relationship between two variables. They graph pairs of numerical data with one variable on each axis to look for correlation. If the variables are correlated, the data points will fall along a line or curve, indicating a relationship. Scatter plots are useful for determining potential causes of problems by identifying which process elements are related and how strongly. They involve collecting paired data, plotting the independent variable on the x-axis and dependent variable on the y-axis, and examining the shape and slope of the resulting cluster of points.
A scatter plot displays values for two variables from a data set as a collection of points, with one variable determining the horizontal position and the other determining the vertical position. Scatter plots can reveal correlations between variables, such as positive, negative, or no correlation. They are useful for visualizing nonlinear relationships and comparing two data sets. An example shows lung capacity on the x-axis and breath holding time on the y-axis for a study of individuals.
Scatter plots graph ordered pairs of data and can show positive, negative, or no correlation between two variables. A positive correlation means both variables increase together, while a negative correlation means one increases as the other decreases. The correlation coefficient measures the strength of the linear relationship between -1 and 1. An example scatter plot shows U.S. SUV sales increasing each year from 1991 to 1999, indicating a positive correlation between year and sales.
The document discusses scatter diagrams, which are a graphical tool used in total quality management. A scatter diagram displays the relationship between two variables on a horizontal and vertical axis by plotting paired data points. Examining the shape and density of the cloud of points can help determine the type and strength of the correlation between the variables, whether it is positive, negative, or no correlation. The key steps in creating a scatter diagram are selecting related variables, collecting data, plotting the independent variable on the x-axis and dependent variable on the y-axis, and analyzing the results.
The document discusses scatter diagrams, which graphically show the relationship between two variables. Scatter diagrams can help understand process behavior and identify if factors are correlated. They are used to analyze problems, show relationships, and check for changes after improvements. The document provides guidance on constructing and interpreting scatter diagrams, such as determining the factors to compare, collecting paired data values, plotting the diagram, and interpreting the results to identify correlations or causal relationships. Correlations can be positive, negative, curved, or partial, but do not necessarily prove causation. Risks like assuming causation from correlation can be avoided by understanding these limitations and choosing axis scales carefully. An example scatter diagram shows the relationship between traffic speed and accidents is closer than between density
This document provides an overview of advanced Perl concepts including:
1. Finer points of looping, including the continue block and multiple loop variables. Subroutine prototypes allow specifying the number and types of arguments.
2. Working with files using filehandles for reading, writing, and appending. Functions like open, close, rename, unlink for file operations.
3. Working with directories using opendir, readdir, rewinddir and related functions.
4. EVAL for evaluating strings and blocks of code. Packages for namespacing and modules. BEGIN and END blocks act as constructors and destructors.
3 sentences or less.
This document provides instructions for Lab 4 of an information systems design course. The lab aims to build experience with fundamental PHP functions related to arrays, strings, and regular expressions. Students will modify PHP code snippets to work with multi-dimensional arrays, define and call functions, and perform string operations like searching and replacing text. The lab consists of 4 steps involving PHP code to demonstrate various language features like joining strings, defining functions, and using regular expressions.
The document contains information about regular expressions (regexes), including their basic structure, common features like character types and anchors, and more advanced concepts like groups, capturing groups, backreferences, and quantifiers. It provides examples to demonstrate how different regex patterns can be used to match text. The document is intended as a reference for understanding regex syntax and utilizing various regex constructs.
The document provides an introduction to Bash shell programming in Linux. It covers basic shell commands like pwd, ls, cat, grep, and redirection operators like > and |. It explains how to write shell scripts, set permissions, and include tests and branching. Examples are provided for listing files, examining file contents, sorting output with pipes, and writing a simple "Hello world" shell script. The document is intended as a basic overview of shell programming concepts.
Avoiding JavaScript Pitfalls Through Tree Huggingzefhemel
Slides of the talk given at MeetJS Summit (http://summit.meetjs.pl). The TreeHugger playground can be found here: http://ajaxorg.github.com/treehugger/test.html
Model-Driven Software Development - Pretty-Printing, Editor Services, Term Re...Eelco Visser
The document discusses three topics: pretty-printing, editor services, and term rewriting. Pretty-printing involves transforming abstract syntax trees to concrete syntax. Editor services define behaviors for syntax highlighting, code folding, outlines, and completions. Term rewriting uses rewrite rules and strategies to transform abstract syntax trees.
This document discusses various low-level exploits, beginning with creating shellcode by extracting opcodes from a compiled C program. It then covers stack-based buffer overflows, including return-to-stack exploits and return-to-libc. Next it discusses heap overflows using the unlink technique, integer overflows, and format string vulnerabilities. The document provides code examples and explanations of the techniques.
The document provides style guidelines for Python code, including recommendations for semicolons, line length, indentation, whitespace, comments, imports, exceptions, naming conventions, and other stylistic elements. It derives many of the guidelines from Google's and PEP 8's Python style guides, with the goal of writing clear, readable, and consistent Python code.
This document provides an overview of reading data into R from various file formats. It discusses using functions like read.csv(), read.table(), read.xls(), read.sas7bdat(), read.dta() and readHTMLTable() to import data from comma-separated values (.csv), tab-separated text, Excel (.xls) files, SAS (.sas7bdat) files, Stata (.dta) files, and HTML tables respectively. It also discusses using packages like gdata, XLConnect, sas7bdat and foreign for certain file types, and installing and loading packages in R.
Scalable and Flexible Machine Learning With Scala @ LinkedInVitaly Gordon
The presentation given by Chris Severs and myself at the Bay Area Scala Enthusiasts meetup. http://www.meetup.com/Bay-Area-Scala-Enthusiasts/events/105409962/
Puppet Camp Amsterdam 2015: The Power of Puppet 4 (Beginner) Puppet
The document discusses new features and changes in Puppet 4, including Puppet Server running on JVM, packaging improvements, environment configuration options, language features like lambdas and HEREDOC support, type validation, and deprecations like node inheritance and hyphens in names. It highlights four key powers of Puppet 4: performance, scalability, measurability, and flexibility in dealing with complex data types natively. Upgrading to Puppet 4 requires changes to comply with deprecations and testing to ensure compatibility.
The document discusses new features and changes in Puppet 4, including Puppet Server running on JVM, packaging improvements, environment configuration options, language features like lambdas and HEREDOC support, type validation, and deprecations like node inheritance and hyphens in names. It highlights four key powers of Puppet 4: performance, scalability, measurability, and flexibility in dealing with complex data types natively. Upgrading to Puppet 4 requires changes to comply with deprecations and testing to ensure compatibility.
This document summarizes a talk about using the Scalaz library in real-world Scala applications. It begins by acknowledging common criticisms of Scalaz as being too complex or not immediately useful. It then provides examples of how the speaker's company uses Scalaz for tasks like JSON mapping and handling state. The speaker advocates using Scalaz intentionally and delineating pure and impure code. They discuss strategies for learning Scalaz incrementally and as a team. The document argues that with pragmatic use, Scalaz can make code more modular, testable and help reason about concurrency without adding undue complexity.
This document summarizes the author's experience using Scalaz in production systems at their company. Key points:
- The author's team uses Scalaz extensively across 15+ services, with usage varying between services.
- Scalaz helps with tasks like JSON mapping, state manipulation, and handling side effects in a pure way.
- The author advocates defining borders between pure and impure code to maintain separation of concerns.
- Using Scalaz has made their code more modular, testable, and easier to reason about concurrency.
- There are also challenges like binary compatibility issues and lack of documentation.
Sometimes you see code that is perfectly OK according to the definition of the language, but which is flawed because it breaks too many established idioms and conventions. On the other hand, a solid piece of code is something that looks like it is written by an experienced person who cares about professionalism in programming.
A presentation at Norwegian Developer Conference 2010
The document discusses generic programming and the Standard Template Library (STL) in C++. It provides an overview of key concepts in generic programming like class templates and how templates allow for reusability. It also covers STL containers, iterators, algorithms and other common components. Specific examples are given around stacks, arrays, and multiple inheritance to demonstrate how templates and generic programming work.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
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.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Full-RAG: A modern architecture for hyper-personalizationZilliz
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.
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.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
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.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
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!
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.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
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).
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Cheatsheet
1. #!/bin/env python
pyExcelerator/xlwt Cheatsheet
# Border def get_font(values):
"""Executable cheatsheet illustrating use of pyExcelerator and its """
write(ws, 0, 2, "Border",
fork, xlwt 'height' 10pt = 200, 8pt = 160
{"border": (("bottom",pycel.Formatting.Borders.THIN),
("bottom_colour", YELLOW))}) """
I recommend using xlwt which is a somewhat unknown fork of font_key = values
pyExcelerator. There are examples shipped with both projects, use f = FONT_FACTORY.get(font_key, None)
them if necessary, but the source is usually your best friend. The if f is None:
# Wrapping
libraries are quite capable but don't support charting. xlwt also as
h f = pycel.Font()
write(ws, 0, 3, "A bunch of long text to wrap",
a mailing list that is active here: for attr, value in values:
{"alignment":(("wrap", pycel.Alignment.WRAP_AT_RIGHT),)})
http://groups.google.com.au/group/python-excel f.__setattr__(attr, value)
# Set column width FONT_FACTORY[font_key] = f
Another good link is here: return f
# (see pycel.BIFFRecords.ColInfoRecord for details, width in
http://ntalikeris.blogspot.com/2007/10/create-excel-file-with-python
-my-sort.html
# 1/256th of zero character)
write(ws, 0, 4, "A bunch of longer text not wrapped
") if __name__ == "__main__":
This illustrates common usage for .xls generation, but also uses create_spreadsheet()
ws.col(4).width = len("A bunch of longer text not wrapped
")*256
factories to limit object creation of styles (which can crash Excel)
.
It's meant to show example, but for more details, I recommend the
# Freeze/split headers when scrolling
sources I mention above.
write(ws, 0, 5, "Header")
ws.panes_frozen = True
Please send comments/suggestions my way
ws.horz_split_pos = 1
for row in range(1, 200):
author: matthewharrison@gmail.com
write(ws, row, 5, row)
"""
# Save the workbook
#import pyExcelerator as pycel
wb.save("out.xls")
import xlwt as pycel
def write(ws, row, col, data, style
=None):
# Excel has issues when creating too many styles/fonts, hence use
"""
# a factory to reuse instances (see FAQ#13 http://poi.apache.org/faq
.html )
Write data to row, col of worksheet (ws) using the style
STYLE_FACTORY = {}
information.
FONT_FACTORY = {}
Again, I'm wrapping this because you'll have to do it if you
def create_spreadsheet():
create large amounts of formatted entries in your spreadsheet
# Create a workbook
(else Excel, but probably not OOo will crash).
wb = pycel.Workbook()
"""
if style:
# Add a sheet
s = get_style(style)
ws = wb.add_sheet("Example Sheet")
ws.write(row, col, data, s)
else:
# Tweak printer settings
ws.write(row, col, data)
# following makes a landscape layout on Letter paper
# the width of the columns
def get_style(style):
ws.fit_num_pages = 1
"""
ws.fit_height_to_pages = 0
Style is a dict maping key to values.
ws.fit_width_to_pages = 1
Valid keys are: background, format, alignment, border
# Set to Letter paper
# See BiffRecords.SetupPageRecord for paper types/orientation
The values for keys are lists of tuples containing (attribute,
ws.paper_size_code = 1
value) pairs to set on model instances...
# Set to landscape
"""
ws.portrait = 0
print "KEY", style
style_key = tuple(style.items())
# Write some stuff using our helper function
s = STYLE_FACTORY.get(style_key, None)
if s is None:
# Formatting - hint, look at Format code in OOo
s = pycel.XFStyle()
# format cells... Numbers tab
for key, values in style.items():
# Write a percent
if key == "background":
write(ws, 0, 0, .495, {"format":"0%"})
p = pycel.Pattern()
# Write a percent with negatives red
for attr, value in values:
write(ws, 1, 0, -.495, {"format":"0%;[RED]-0%"})
p.__setattr__(attr, value)
# Dollar amounts
s.pattern = p
write(ws, 2, 0, 10.99, {"format":'$#,##0'})
elif key == "format":
s.num_format_str = values
# Font
elif key == "alignment":
# Size
a = pycel.Alignment()
write(ws, 0, 1, "Size 160(8pt)", {"font": (("height", 160),)})
for attr, value in values:
write(ws, 1, 1, "Size 200(10pt)", {"font": (("height", 200),)})
a.__setattr__(attr, value)
# Bold
s.alignment = a matthewharrison@gmail.com
write(ws, 2, 1, "Bold text", {"font": (("bold", True),)})
elif key == "border":
b = pycel.Formatting.Borders()
# Background color
# See http://groups.google.com.au/group/python-excel/attach/93621400
bdddf464/palette_trial.xls?part=2
for attr, value in values: Creative Commons Attribution 3.0 License.
b.__setattr__(attr, value)
# for colour indices
s.borders = b
YELLOW = 5
elif key == "font":
write(ws, 3, 1, "Yellow (5) Background ",
f = get_font(values)
{"background": (("pattern", pycel.Pattern.SOLID_PATTERN),
s.font = f
(
"pattern_fore_colour", YELLOW) )})
STYLE_FACTORY[style_key] = s
return s