The document discusses using Yahoo Query Language (YQL) to extract creation dates from multiple Yahoo email accounts at once. It provides examples of YQL queries that retrieve creation dates for various email addresses. The queries demonstrate how to combine multiple queries into a single call and output the email address and creation date together.
This document discusses web and browser security. It summarizes vulnerabilities like SQL injection and cross-site scripting (XSS), and defenses against them. SQL injection allows attackers to manipulate dynamically-generated SQL queries to obtain unauthorized data or issue unauthorized commands. XSS allows attackers to inject and execute malicious scripts in web pages by exploiting insufficient input validation. Defenses include input validation, prepared statements, and output encoding. These vulnerabilities remain prevalent issues for web applications.
The document discusses how to prevent JavaScript injection attacks in ASP.NET MVC applications. It describes a customer feedback website that is vulnerable to JavaScript injection by displaying user-submitted content without encoding. It then presents two approaches to prevent this: 1) HTML encoding user data when displayed in views, and 2) HTML encoding user data before saving to the database in controllers. Encoding replaces dangerous HTML characters to neutralize malicious JavaScript while preserving the data's meaning.
After a brief introduction into the history of Database Management Systems different types of NoSQL data stores are characterized. Theoretical background information about sharding mechanisms, horizontal scaling and the CAP theorem are getting explained.
After a comparison of different NoSQL stores you will get to know the pros and cons of the different approaches and you will learn how to take the decision for the best fitting database in your project.
YQL is a data querying and manipulation service from Yahoo! that allows users to access and combine data from different sources on the web through an SQL-like syntax. The document demonstrates how to query data from sources like YouTube, Flickr, and Craigslist, and also discusses how users can create their own custom data tables by uploading XML definitions or writing server-side JavaScript. Finally, the document encourages users to contribute new data tables through an open GitHub repository and notes that YQL provides access to over 1200 existing data tables covering many popular web APIs.
This document provides an overview of sessions, cookies, MySQL databases, and PHP. It defines cookies as small files stored on a user's computer to identify them across website requests. Sessions are an alternative to cookies for storing user information across multiple pages without storing data locally. The document outlines how to create cookies and sessions in PHP. It also defines MySQL databases and how to create tables, queries, and connect to a database using PHP.
This presentation discusses performance tuning for Visualforce and Apex. It covers best practices for SOQL, SOSL, batch Apex, record locking, and debugging tools. The presentation emphasizes following SOQL best practices, tuning Apex code, and optimizing Visualforce pages to improve performance. It also provides tips for using indexes, filtering data, avoiding cross-object queries, and handling record locking and sharing calculations.
My journey to use a validation frameworksaqibsarwar
The document discusses the author's journey in choosing a validation framework for a project that required validating a large number of fields across multiple entities. The author initially tried writing if/else statements but it became messy. He researched validation frameworks and considered Spring Validation, Commons Validator, and JaValid before choosing Hibernate Validator. Hibernate Validator uses annotations to validate fields, follows emerging standards, and has advantages such as built-in constraints and customizable error messages.
This presentation emphasis on How to connect a Play Application with Mysql as database in Scala.Play includes a simple data access layer called Anorm that uses plain SQL to interact with the database and provides an API to parse and transform the resulting datasets.
This document discusses web and browser security. It summarizes vulnerabilities like SQL injection and cross-site scripting (XSS), and defenses against them. SQL injection allows attackers to manipulate dynamically-generated SQL queries to obtain unauthorized data or issue unauthorized commands. XSS allows attackers to inject and execute malicious scripts in web pages by exploiting insufficient input validation. Defenses include input validation, prepared statements, and output encoding. These vulnerabilities remain prevalent issues for web applications.
The document discusses how to prevent JavaScript injection attacks in ASP.NET MVC applications. It describes a customer feedback website that is vulnerable to JavaScript injection by displaying user-submitted content without encoding. It then presents two approaches to prevent this: 1) HTML encoding user data when displayed in views, and 2) HTML encoding user data before saving to the database in controllers. Encoding replaces dangerous HTML characters to neutralize malicious JavaScript while preserving the data's meaning.
After a brief introduction into the history of Database Management Systems different types of NoSQL data stores are characterized. Theoretical background information about sharding mechanisms, horizontal scaling and the CAP theorem are getting explained.
After a comparison of different NoSQL stores you will get to know the pros and cons of the different approaches and you will learn how to take the decision for the best fitting database in your project.
YQL is a data querying and manipulation service from Yahoo! that allows users to access and combine data from different sources on the web through an SQL-like syntax. The document demonstrates how to query data from sources like YouTube, Flickr, and Craigslist, and also discusses how users can create their own custom data tables by uploading XML definitions or writing server-side JavaScript. Finally, the document encourages users to contribute new data tables through an open GitHub repository and notes that YQL provides access to over 1200 existing data tables covering many popular web APIs.
This document provides an overview of sessions, cookies, MySQL databases, and PHP. It defines cookies as small files stored on a user's computer to identify them across website requests. Sessions are an alternative to cookies for storing user information across multiple pages without storing data locally. The document outlines how to create cookies and sessions in PHP. It also defines MySQL databases and how to create tables, queries, and connect to a database using PHP.
This presentation discusses performance tuning for Visualforce and Apex. It covers best practices for SOQL, SOSL, batch Apex, record locking, and debugging tools. The presentation emphasizes following SOQL best practices, tuning Apex code, and optimizing Visualforce pages to improve performance. It also provides tips for using indexes, filtering data, avoiding cross-object queries, and handling record locking and sharing calculations.
My journey to use a validation frameworksaqibsarwar
The document discusses the author's journey in choosing a validation framework for a project that required validating a large number of fields across multiple entities. The author initially tried writing if/else statements but it became messy. He researched validation frameworks and considered Spring Validation, Commons Validator, and JaValid before choosing Hibernate Validator. Hibernate Validator uses annotations to validate fields, follows emerging standards, and has advantages such as built-in constraints and customizable error messages.
This presentation emphasis on How to connect a Play Application with Mysql as database in Scala.Play includes a simple data access layer called Anorm that uses plain SQL to interact with the database and provides an API to parse and transform the resulting datasets.
MongoDB World 2019: How Braze uses the MongoDB Aggregation Pipeline for Lean,...MongoDB
How do you determine whether your MongoDB Atlas cluster is over provisioned, whether the new feature in your next application release will crush your cluster, or when to increase cluster size based upon planned usage growth? MongoDB Atlas provides over a hundred metrics enabling visibility into the inner workings of MongoDB performance, but how do apply all this information to make capacity planning decisions? This presentation will enable you to effectively analyze your MongoDB performance to optimize your MongoDB Atlas spend and ensure smooth application operation into the future.
A Novel Secure Cloud SAAS Integration for User Authenticated Informationijtsrd
Organizations are spending a lot of money to maintain their business data using legacy Enterprise content management systems [1], tools, hardware support and maintenance, which are not satisfying the consumers. Box is Novel ECM system which allows the users to store, view, search large value of data with lesser bandwidth to increase user experience for modern business. Modern business running on new enterprise cloud platforms like Amazon, eBay, Salesforce. Persistence of business users data is simpler and faster with this platform and is really an emerging solution for the current industry. The real-time integration between cloud SaaS application with on-premises content management systems (SharePoint [2], box [3], Oracle Web Center [4], Nuxeo [5], Open Text [6], Dell Documentum [7], IBM FileNet p8[8], Docushare [9], On Base [10], Laser Fiche [11], SpringCM [12], Seismic [13], Lexmark [14], M-Files [15], Alfresco [16], Media Bank [17], Veeva Vault [18], etc.) In this paper, we are proposing a new paradigm of how Cloud SaaS applications integrate with novel ECMs for modern business. We performed real-time integration from SFDC to box with a business use case, we did bi-directional data synchronization between SFDC to box and vice versa. C. V. Satyanarayana | Dr. P. Suryanarayana Babu"A Novel Secure Cloud SAAS Integration for User Authenticated Information" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2227.pdf http://www.ijtsrd.com/computer-science/computer-security/2227/a-novel-secure-cloud-saas-integration-for-user-authenticated-information/c-v-satyanarayana
1. The document provides information on various Salesforce concepts like email templates, relationships between objects, preventing recursive triggers, map concepts, aggregate functions, sending attachments in emails, sharing rules for standard and custom objects, batch classes, and scheduler classes.
2. Key details are provided on how to implement each concept through code examples and explanations of methods and interfaces.
3. Best practices are highlighted like querying new records instead of using DML in triggers and maintaining state when using batch classes.
This portfolio contains examples of Marcus Matthews' SQL development work, including databases and queries for a jungle books retailer, library, and bank. It also includes a joint project with two others for an online movie rental business called BlockFlix, covering loading data into tables, rental transactions, returns, reports, backups and a proposed online streaming feature. The portfolio demonstrates skills in SQL Server, T-SQL, stored procedures, XML, and SSIS.
This document provides instructions on how to develop an inbound REST web service in Salesforce. It describes creating an Apex class to retrieve a contact based on email, generating an access token, and using Runscope to test the web service by calling the endpoint with the authorization header and email query string parameter.
Susan Whitfield completed a 13-week SQL Server 2008 certification program through SetFocus, LLC. The intensive course covered database administration, development, and used tools like SQL Server Management Studio. Susan's presentation includes examples from projects building databases, writing T-SQL code, and creating packages, reports, and diagrams. She is looking for SQL-related work and can be contacted at the provided email.
This document provides instructions for creating a basic text chat application. It outlines creating the user interface with HTML elements like forms and divs. It also discusses linking a CSS stylesheet to style the interface and JavaScript files to add interactivity. The coding process is broken down into parts for signing in, sending messages, and updating data between the client and server using AJAX calls. Server-side processing is handled by PHP scripts.
[WSO2Con EU 2017] Streaming Analytics Patterns for Your Digital EnterpriseWSO2
The WSO2 analytics platform provides a high performance, lean, enterprise-ready, streaming solution to solve data integration and analytics challenges faced by connected businesses. This platform offers real-time, interactive, machine learning and batch processing technologies that empower enterprises to build a digital business. This session explores how to enable digital transformation by building a data analytics platform.
This document provides instructions for adding a new person to the CustomerSource portal and setting up their account. It outlines that a Company Administrator or Susan Looby from ACE can add a person by clicking "add Professional" and selecting a role for the new person. An invitation email will be sent that contains a link for the person to set up their account. The document also includes sample text from an invitation email notifying the recipient about their CustomerSource account and provides steps for associating their Microsoft or Organizational account to access CustomerSource benefits and training.
LAPHP/LAMPSig Talk: Intro to SendGrid - Building a Scalable Email InfrastructureSendGrid
Email delivery is a complex and difficult problem, SendGrid makes sure developers never have to deal with that type of pain. Come learn how easy it is to replace your email sending infrastructure with SendGrid and all of the benefits to you and your customers. Then, this question becomes less important: What does it cost you if an email does not get delivered to one of your customers?
This portfolio document describes various SQL projects completed by the author including creating a database for a bank with stored procedures, functions, views and triggers. It also includes practical exercises in SQL Server configuration, management and administration such as backup/restore, security, replication and monitoring. The final section describes an SSIS/SSRS project to import data from CSV files into a new database and create reports in SSRS.
Simeon Simeonov, Founder & CTO of Swoop, shares how Swoop uses Mongo behind the scenes for their high-performance core data processing and analytics. The presentation goes over tips and tricks such as zero-overhead hierarchical relationships with MongoDB, high-performance MongoDB atomic update buffering, content-addressed storage using cryptographic hashing and more. Presented to the Boston MongoDB User Group.
How to Send Emails From Odoo 17 Using CodeCeline George
In this slide, we'll explore how to programmatically send emails from Odoo 17. Odoo offers a robust email functionality that can be integrated into your custom modules to automate communication. By leveraging code, you can trigger emails based on specific events or user actions within your Odoo instance. This streamlines workflows and enhances user experience.
This document discusses using Ruby on Rails to create a billing application. It shows how to generate a migration to create a bills table, associate bills with users, and add validations and scopes. It then demonstrates creating sample users and bills in the Rails console, querying the data, and updating the bill default scope. The goal is to introduce basic CRUD operations and associations in Rails.
IBM Insight 2015 - 1824 - Using Bluemix and dashDB for Twitter AnalysisTorsten Steinbach
Using Bluemix and dashDB for Twitter Analysis
This document discusses using IBM's Bluemix and dashDB services for Twitter analysis. It provides an overview of the IBM Insights for Twitter service in Bluemix, which allows querying and searching over enriched Twitter data stored in dashDB. Examples are given of queries that can be performed, such as searching for tweets about an upcoming movie within a time frame or searching for tweets with positive sentiment about a product. The document also discusses loading Twitter data into dashDB using a Bluemix app and performing predictive analytics on the data using built-in R and Python capabilities in dashDB.
The document summarizes the development of a client-side and server-side application for collecting survey responses.
The client-side app handles user login by tokenizing response values, dynamically generates survey questions, and stores answered questions locally. The server-side uses a Django framework with a SQLite database to normalize data across 9 tables, dynamically create XML from the database, and accept submitted responses by URL.
Defensive programming techniques aim to avoid problems in code development and during runtime. Issues that can occur include dodgy user input data, poorly structured code that is hard to maintain, and runtime errors. Defensive design focuses on preventing unintended exploitation of systems, keeping code well-organized, and minimizing bugs. Input validation and sanitization are important techniques to check user data meets criteria and remove unwanted characters. Database inputs especially need to be sanitized to prevent SQL injection attacks.
My presentation at SourceCon Atlanta Sept. 2018 featuring Excel VBA, Outlook VBA and JavaScript coding examples to introduce talent sourcers to programming
Aprimorando sua Aplicação com Ext JS 4 - BrazilJSLoiane Groner
The document discusses new features in Ext JS 4 including an improved class system with mixins and dynamic loading, an enhanced data package with associations between models and nested data loading, model validation, and charts. It also introduces the new MVC architecture and provides contact information for the speaker including websites and social media handles.
Mark Yashar's curriculum vitae provides information about his education and employment history. He holds a Ph.D. in Physics from UC Davis and has worked on various research projects involving astrophysics, cosmology, climate modeling, and radio astronomy. His skills include programming languages like Python, C++, and Fortran. He has experience using modeling and analysis tools in areas like atmospheric science, astronomy, and computational physics.
This document is a resume for Mark Yashar summarizing his qualifications and experience in data analysis, scientific computing, physics, and related fields. It outlines his expertise in areas like image processing, algorithm development, data visualization, and machine learning. It also lists his proficiency with various programming languages, software applications, and high-performance computing platforms. His educational and professional background demonstrate extensive experience in scientific research, data analysis, and technical project roles.
MongoDB World 2019: How Braze uses the MongoDB Aggregation Pipeline for Lean,...MongoDB
How do you determine whether your MongoDB Atlas cluster is over provisioned, whether the new feature in your next application release will crush your cluster, or when to increase cluster size based upon planned usage growth? MongoDB Atlas provides over a hundred metrics enabling visibility into the inner workings of MongoDB performance, but how do apply all this information to make capacity planning decisions? This presentation will enable you to effectively analyze your MongoDB performance to optimize your MongoDB Atlas spend and ensure smooth application operation into the future.
A Novel Secure Cloud SAAS Integration for User Authenticated Informationijtsrd
Organizations are spending a lot of money to maintain their business data using legacy Enterprise content management systems [1], tools, hardware support and maintenance, which are not satisfying the consumers. Box is Novel ECM system which allows the users to store, view, search large value of data with lesser bandwidth to increase user experience for modern business. Modern business running on new enterprise cloud platforms like Amazon, eBay, Salesforce. Persistence of business users data is simpler and faster with this platform and is really an emerging solution for the current industry. The real-time integration between cloud SaaS application with on-premises content management systems (SharePoint [2], box [3], Oracle Web Center [4], Nuxeo [5], Open Text [6], Dell Documentum [7], IBM FileNet p8[8], Docushare [9], On Base [10], Laser Fiche [11], SpringCM [12], Seismic [13], Lexmark [14], M-Files [15], Alfresco [16], Media Bank [17], Veeva Vault [18], etc.) In this paper, we are proposing a new paradigm of how Cloud SaaS applications integrate with novel ECMs for modern business. We performed real-time integration from SFDC to box with a business use case, we did bi-directional data synchronization between SFDC to box and vice versa. C. V. Satyanarayana | Dr. P. Suryanarayana Babu"A Novel Secure Cloud SAAS Integration for User Authenticated Information" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2227.pdf http://www.ijtsrd.com/computer-science/computer-security/2227/a-novel-secure-cloud-saas-integration-for-user-authenticated-information/c-v-satyanarayana
1. The document provides information on various Salesforce concepts like email templates, relationships between objects, preventing recursive triggers, map concepts, aggregate functions, sending attachments in emails, sharing rules for standard and custom objects, batch classes, and scheduler classes.
2. Key details are provided on how to implement each concept through code examples and explanations of methods and interfaces.
3. Best practices are highlighted like querying new records instead of using DML in triggers and maintaining state when using batch classes.
This portfolio contains examples of Marcus Matthews' SQL development work, including databases and queries for a jungle books retailer, library, and bank. It also includes a joint project with two others for an online movie rental business called BlockFlix, covering loading data into tables, rental transactions, returns, reports, backups and a proposed online streaming feature. The portfolio demonstrates skills in SQL Server, T-SQL, stored procedures, XML, and SSIS.
This document provides instructions on how to develop an inbound REST web service in Salesforce. It describes creating an Apex class to retrieve a contact based on email, generating an access token, and using Runscope to test the web service by calling the endpoint with the authorization header and email query string parameter.
Susan Whitfield completed a 13-week SQL Server 2008 certification program through SetFocus, LLC. The intensive course covered database administration, development, and used tools like SQL Server Management Studio. Susan's presentation includes examples from projects building databases, writing T-SQL code, and creating packages, reports, and diagrams. She is looking for SQL-related work and can be contacted at the provided email.
This document provides instructions for creating a basic text chat application. It outlines creating the user interface with HTML elements like forms and divs. It also discusses linking a CSS stylesheet to style the interface and JavaScript files to add interactivity. The coding process is broken down into parts for signing in, sending messages, and updating data between the client and server using AJAX calls. Server-side processing is handled by PHP scripts.
[WSO2Con EU 2017] Streaming Analytics Patterns for Your Digital EnterpriseWSO2
The WSO2 analytics platform provides a high performance, lean, enterprise-ready, streaming solution to solve data integration and analytics challenges faced by connected businesses. This platform offers real-time, interactive, machine learning and batch processing technologies that empower enterprises to build a digital business. This session explores how to enable digital transformation by building a data analytics platform.
This document provides instructions for adding a new person to the CustomerSource portal and setting up their account. It outlines that a Company Administrator or Susan Looby from ACE can add a person by clicking "add Professional" and selecting a role for the new person. An invitation email will be sent that contains a link for the person to set up their account. The document also includes sample text from an invitation email notifying the recipient about their CustomerSource account and provides steps for associating their Microsoft or Organizational account to access CustomerSource benefits and training.
LAPHP/LAMPSig Talk: Intro to SendGrid - Building a Scalable Email InfrastructureSendGrid
Email delivery is a complex and difficult problem, SendGrid makes sure developers never have to deal with that type of pain. Come learn how easy it is to replace your email sending infrastructure with SendGrid and all of the benefits to you and your customers. Then, this question becomes less important: What does it cost you if an email does not get delivered to one of your customers?
This portfolio document describes various SQL projects completed by the author including creating a database for a bank with stored procedures, functions, views and triggers. It also includes practical exercises in SQL Server configuration, management and administration such as backup/restore, security, replication and monitoring. The final section describes an SSIS/SSRS project to import data from CSV files into a new database and create reports in SSRS.
Simeon Simeonov, Founder & CTO of Swoop, shares how Swoop uses Mongo behind the scenes for their high-performance core data processing and analytics. The presentation goes over tips and tricks such as zero-overhead hierarchical relationships with MongoDB, high-performance MongoDB atomic update buffering, content-addressed storage using cryptographic hashing and more. Presented to the Boston MongoDB User Group.
How to Send Emails From Odoo 17 Using CodeCeline George
In this slide, we'll explore how to programmatically send emails from Odoo 17. Odoo offers a robust email functionality that can be integrated into your custom modules to automate communication. By leveraging code, you can trigger emails based on specific events or user actions within your Odoo instance. This streamlines workflows and enhances user experience.
This document discusses using Ruby on Rails to create a billing application. It shows how to generate a migration to create a bills table, associate bills with users, and add validations and scopes. It then demonstrates creating sample users and bills in the Rails console, querying the data, and updating the bill default scope. The goal is to introduce basic CRUD operations and associations in Rails.
IBM Insight 2015 - 1824 - Using Bluemix and dashDB for Twitter AnalysisTorsten Steinbach
Using Bluemix and dashDB for Twitter Analysis
This document discusses using IBM's Bluemix and dashDB services for Twitter analysis. It provides an overview of the IBM Insights for Twitter service in Bluemix, which allows querying and searching over enriched Twitter data stored in dashDB. Examples are given of queries that can be performed, such as searching for tweets about an upcoming movie within a time frame or searching for tweets with positive sentiment about a product. The document also discusses loading Twitter data into dashDB using a Bluemix app and performing predictive analytics on the data using built-in R and Python capabilities in dashDB.
The document summarizes the development of a client-side and server-side application for collecting survey responses.
The client-side app handles user login by tokenizing response values, dynamically generates survey questions, and stores answered questions locally. The server-side uses a Django framework with a SQLite database to normalize data across 9 tables, dynamically create XML from the database, and accept submitted responses by URL.
Defensive programming techniques aim to avoid problems in code development and during runtime. Issues that can occur include dodgy user input data, poorly structured code that is hard to maintain, and runtime errors. Defensive design focuses on preventing unintended exploitation of systems, keeping code well-organized, and minimizing bugs. Input validation and sanitization are important techniques to check user data meets criteria and remove unwanted characters. Database inputs especially need to be sanitized to prevent SQL injection attacks.
My presentation at SourceCon Atlanta Sept. 2018 featuring Excel VBA, Outlook VBA and JavaScript coding examples to introduce talent sourcers to programming
Aprimorando sua Aplicação com Ext JS 4 - BrazilJSLoiane Groner
The document discusses new features in Ext JS 4 including an improved class system with mixins and dynamic loading, an enhanced data package with associations between models and nested data loading, model validation, and charts. It also introduces the new MVC architecture and provides contact information for the speaker including websites and social media handles.
Mark Yashar's curriculum vitae provides information about his education and employment history. He holds a Ph.D. in Physics from UC Davis and has worked on various research projects involving astrophysics, cosmology, climate modeling, and radio astronomy. His skills include programming languages like Python, C++, and Fortran. He has experience using modeling and analysis tools in areas like atmospheric science, astronomy, and computational physics.
This document is a resume for Mark Yashar summarizing his qualifications and experience in data analysis, scientific computing, physics, and related fields. It outlines his expertise in areas like image processing, algorithm development, data visualization, and machine learning. It also lists his proficiency with various programming languages, software applications, and high-performance computing platforms. His educational and professional background demonstrate extensive experience in scientific research, data analysis, and technical project roles.
This document summarizes Mark Yashar's computing skills and experience. He has extensive experience with various operating systems including Linux, Windows, and Mac OS. He is proficient in many programming languages such as Python, C/C++, MATLAB, Fortran, Perl, R, and has experience with software applications like MySQL, LaTeX, and Excel. He has worked on supercomputers and used high-performance computing techniques. He provides examples of projects utilizing many of these skills.
The document provides details of the applicant's research skills, experience, and interests. It includes an overview of their academic background and technical skills in areas like modeling, data analysis, and statistics. Specific examples of their research experience are provided, including work on meteorological and CO2 modeling, Square Kilometer Array development, and dark energy research. Projects involved utilizing modeling software, high performance computing, data visualization, and Markov chain Monte Carlo methods. The applicant aims to help research groups through problem solving, skills acquisition, and computational analysis.
This document is a resume for Mark Yashar. It summarizes his expertise in data analysis, scientific computing, physics, and high performance computing. It lists his qualifications including various programming languages, operating systems, and software. It also outlines his educational background including a PhD in Physics from UC Davis, and professional experience including roles doing data analysis, scientific modeling and simulation, and research.
Mark Yashar is an experienced data analyst and physicist with expertise in scientific computing, numerical modeling, and machine learning. He has strong skills in Python, C/C++, MATLAB, and scientific software. He holds a PhD in Physics from UC Davis and has worked on projects in dark energy research, meteorological modeling, and fraud analysis. Yashar has leadership experience and excellent communication skills. He is proficient in high-performance computing and data visualization.
Mark Yashar is seeking work in data science, scientific computing, or related fields in the Bay Area. He has a PhD in physics and experience with meteorological and radio astronomy modeling. He is interested in utilizing data analysis, modeling, and image processing algorithms across various scientific disciplines. His background in physics research, academic coursework, and experience with statistical and imaging algorithms have prepared him to make significant contributions to projects involving computational modeling and data science.
Mark Yashar is applying for scientific, data analysis, data science, software development, and related positions. He has a PhD in physics and experience conducting atmospheric and astrophysics research using modeling and statistical techniques. His background includes work with WRF, WRF-Chem, R, Python, and other tools. He is interested in utilizing data analysis and machine learning algorithms for applications in physics, earth and space sciences, and astrophysics research.
Mark Yashar has extensive research experience in areas related to dark energy, dark matter, astrophysics, and data analysis. His past work includes carrying out Markov Chain Monte Carlo analyses to explore dark energy models using simulated future data sets. He has also worked on projects related to modeling atmospheric CO2 concentrations, calibrating algorithms for the Square Kilometer Array radio telescope, and analyzing MACHO microlensing data to constrain the locations of dark matter in the Milky Way and Magellanic Clouds. Yashar expresses interest in further research involving dark energy modeling, simulations of future experiments, and using MCMC techniques to compare different quintessence theories with current and future cosmological data.
This dissertation consists of two projects related to microlensing and dark energy:
1) The first project uses microlensing population models and color-magnitude diagrams to constrain the locations of 13 microlensing source stars and lenses detected in the Large Magellanic Cloud. The analysis suggests the source stars are in the LMC disk and the lenses are in the Milky Way halo.
2) The second project uses Markov chain Monte Carlo analysis of an inverse power law quintessence model to study constraints from future dark energy experiments. Simulated data sets representing different experiments are used to examine how well experiments can constrain the model and distinguish it from a cosmological constant. Stage 4 experiments may exclude a cosmological constant at the 3σ
This document discusses microquasars, which are X-ray binary systems that produce relativistic jets, analogous to quasars. It begins with a brief historical overview of microquasars, noting key discoveries like the first detection of relativistic jets in SS433 in 1979. Apparent superluminal motions were observed in GRS 1915+105 and GRO J1655-40 in the 1990s, showing that microquasar jets can reach speeds seen in quasars. The document then covers jet formation mechanisms, types of jets produced, and how jet production relates to the accretion state of the compact object. Synchrotron emission is believed to be the radiation mechanism for microquasar radio jets.
This document is a log-log plot showing the relationship between two variables, likely "a" on the x-axis and "r" on the y-axis. The plot ranges from 10-6 to 1025 on the x-axis and some unspecified range on the y-axis. It is identified as being problem #2 from a homework assignment in Physics 262.
This document defines parameters for present densities of critical density, mass density, radiation density, and cosmological constant density. It then plots the logarithm of these density values against the logarithm of the scale factor using predefined functions to model the densities over time/scale factor based on known relationships. Labels and a legend are added to the plot.
The document describes a GPS data analysis challenge to combine two streams of timestamped GPS data collected from devices at different heights into a single stream. The goals are to create a single stream from the two inputs and indicate how each point was computed. Code snippets are provided that read the raw GPS data, perform processing to average and calculate values from the two streams, and write the results to a new consolidated file along with plotting scripts to visualize the data.
Mark Yashar is applying for scientific, data analysis, data science, scientific computing, and software development positions. He has extensive experience in scientific computing and research from academia and national labs. His background in scientific computing, physics, astrophysics, and earth science combined with his employment history have prepared him to make valuable contributions. He has included his resume and research summary for consideration and can provide additional information to support his application.
This document provides an overview of the applicant's background and research experience relevant to computer scientist positions with ESGF and UV-CDAT projects at LLNL/AIMS. The applicant has experience with regional modeling of meteorology and CO2 concentrations using WRF and related models. He has expertise in processing, analyzing and visualizing model output files in netCDF format using tools like NCL, Ferret, Python and related packages. The applicant also has experience installing, compiling and running these models on NERSC supercomputing systems in distributed parallel mode using MPI.
This document is a job application for a Computational Data Science Fellow position at BIDS. The applicant, Mark Yashar, outlines their research experience and interests which include meteorological and CO2 regional modeling, Square Kilometer Array (SKA) research and development, and dark energy research. For their meteorological modeling work, they utilized software like WRF and conducted simulations, data analysis, and visualization. For their SKA work, they evaluated radio imaging algorithms and conducted simulations to address computational costs and feasibility issues for SKA calibration and processing. Their experience is relevant to potential projects in fields like computational research, geospatial data analysis, climate modeling, and scientific data management at organizations like LBNL and UCB.
This KML file contains placemark data for two geographic features. The first placemark describes a point for the Angelo Coast Range Reserve located at -123.644, 39.729. The second placemark describes a polygon region bounded by coordinates between -114.0,31.5 and -132.5,47.5 with an inner boundary between -120.0,35.5 and -126.5,41.0. This polygon is styled with a random colored outline and transparent fill.
12. UnresolvedIssues
We’dlike tooutputthe user’semail addressalongwiththe creationdate of the email accountandother
info.byissuingaYQL querywithinthe YQLConsole,butIhaven’tfiguredouthow todo this.One might
be able to do thisif there were a YQL printor echo commandlike inSQL,e.g.,
mysql>SELECT'some text'as ''
but nosuch commandseemstoexistwithinYQLanda commandlike thisresultsinasyntax error.
Anotherapproachto explore wouldbe towrite anexternal script(application)thatwouldenableone to
run the YQL query outside of the console usingPython,PHP,orJavascriptscriptsthatutilize yql queries
withinthem.However,thismaypresentauthenticationissues,problems,and challengesforpython
code (forexample),whichapparently presentsYahoodataprivacyand securityproblemsand
Additional work, July 2016
I’ve developedanapproachusingsome pythontools(e.g.pandas) incombinationwithEXCELtotake
the JSON outputgeneratedfromYQL email queriesfromthe YQLconsole andconvertit to normalized,
tabulardata outputto an EXCEL spreadsheet.Thisapproachmayreduce butnot eliminate some of the
manual/brute force workthatmightotherwise be neededtocreate a (EXCELspreadsheet) table
containinguseryahooemail addressesalongwithimportantinfoaboutthemsuchascreationdate,
name,location,‘memberSince’,nickname,etc.
I will demonstratewithanexample: Suppose Ienterthe followingYQLemail query inthe YQL console
to retrieve dataabout20 useryahooemail addressesatthe same time:
selectcreated,lang,content,guid,lang,location,memberSince,nickname,familyName,givenName
from social.profilewhereguidin(selectguidfromyahoo.identity where yid
in('mark.yashar@yahoo.com','jigpatel@yahoo.com','mrsglobs@yahoo.com','cclaudio1357@yahoo.com',
'minnie_z_1999@yahoo.com','chiennguyen_1981@yahoo.com.vn','elabiner@yahoo.com',
'holidaysevents@yahoo.com','indyaclayton@yahoo.com','s.wells8@yahoo.com',
'darrettchithra@yahoo.com','terahkuhnen@yahoo.com','wenjing_mo@yahoo.com',
'billlclem123@yahoo.com','egyedveronika@yahoo.com','angelhong320@yahoo.com',
'dungmy88@yahoo.com','manmeetsaini@yahoo.com','chandarmk@yahoo.com',
'jessiejzhu@yahoo.com'))
25. 16 http://profiles.yahoo.com/v2/identities.handle(dungmy88%40yahoo.com~yid)
17 http://profiles.yahoo.com/v2/identities.handle(manmeetsaini%40yahoo.com~y
id)
18 http://profiles.yahoo.com/v2/identities.handle(chandarmk%40yahoo.com~yid)
execution-start-time execution-stop-time execution-time http-status-
code
0 1 65 64 NaN
1 3 66 63 NaN
2 2 67 65 NaN
3 3 68 65 NaN
4 2 68 66 NaN
5 73 132 59 NaN
6 74 136 62 NaN
7 74 136 62 NaN
8 73 136 63 NaN
9 74 138 64 NaN
10 137 192 55 404
11 132 195 63 NaN
12 136 197 61 NaN
13 136 199 63 NaN
14 139 200 61 NaN
15 193 255 62 NaN
16 195 258 63 NaN
17 197 260 63 NaN
18 199 260 61 NaN
http-status-message created familyName givenName
0 NaN 2010-01-16T17:45:10Z NaN NaN
1 NaN NaN NaN NaN
2 NaN 2009-12-10T01:38:19Z NaN NaN
3 NaN 2012-09-23T23:01:41Z NaN NaN
4 NaN 2016-03-14T23:21:29Z NaN NaN
5 NaN 2008-12-21T01:32:28Z nguyenmangchien chien
6 NaN 2012-08-14T15:11:06Z NaN NaN
7 NaN 2010-01-31T19:48:55Z NaN NaN
8 NaN 2009-09-10T19:17:37Z NaN NaN
9 NaN 2008-10-09T00:01:48Z NaN NaN
10 Not Found 2009-08-01T01:01:16Z NaN NaN
11 NaN 2009-11-12T18:31:52Z NaN NaN
12 NaN 2010-02-17T21:20:22Z NaN NaN
13 NaN 2008-10-08T10:40:07Z singh Manmeet
14 NaN 2012-05-31T18:09:15Z NaN NaN
15 NaN 2010-01-11T00:07:20Z Hong Angel
16 NaN 2010-01-15T23:37:08Z NaN NaN
17 NaN 2010-01-02T23:03:25Z NaN NaN
18 NaN 2010-01-30T23:47:12Z NaN NaN
guid lang location
0 3VSVJ6XZX4NJWUUFFHJDXBIQBI en-US New York, New York
1 33VH3ODH6VAUFWZUQGR6GLXQEA en-US NaN
2 BHHEKTXSUVTJXZSVLBYXU7WISA en-US New York, New York
3 VRPARSKJIKEFNIHKXY5QK6L3LU en-US NaN
4 QCYF27AAV7MC7RL44KZ4EMX7FY en-US NaN
26. 5 ND2YVRT23FJQWZW5FE33OJVN6I en-US hanoi
6 ADDPYQSNFWSLK5VDAJPESLP2DU en-US NaN
7 IQACKBQMRKG7TRGWV66P4EA3GI en-US NaN
8 Q7EJRC36XZ7Z2EYEK3OVFITR6E en-US
9 3VT2ZEHSCWNLWMRNMWC25IF4HY en-US
10 4KQA3LRHJLHQUJRFBBQKOPCGP4 en-US Beijing
11 EXQ6RIF7576Z7X2LQNU2ZPMFOY en-US Budapest, Budapest
12 A4C5Z3PKCOIWO5DMPBS6A5K3GI en-US Daly City, California
13 4YN2AAB3CPIQ6BF5U2PVNJIHQE en-US NA, NA 141004 India
14 OBJHXUVTSWYSEOLJGHPPYTIQOM en-US NaN
15 6F7OVWYHNLC3NCG4VRVMRJS3X4 en-US San Francisco, California
16 FRJNSOTCZGSUUMVFXVJ2OKTLAA en-US
17 EZ6ZU7NV7YADJAQAL46XEKC4MU en-US Houston, Texas
18 2NJYHULB6E7WNOEW5EHT2YDVSA en-US NaN
memberSince nickname
0 1997-08-19T22:30:15Z Jigar
1 2004-11-16T22:04:53Z Holidays
2 2005-08-07T16:04:04Z Ellen
3 2012-09-23T23:01:20Z Carlos
4 2016-03-14T23:21:28Z Mark
5 2006-10-09T09:13:10Z chiennguyen
6 2012-08-14T15:10:05Z Indya
7 2009-07-17T22:17:36Z Sara
8 2006-10-23T03:52:22Z Tina
9 2000-04-22T21:48:38Z Minnie
10 2009-01-04T11:24:34Z Wenjing
11 2008-11-16T11:10:55Z Veronika
12 2008-08-26T20:53:01Z Sandy
13 2000-03-06T15:34:20Z senz
14 2012-05-31T17:53:34Z Chithra
15 2000-09-06T06:43:34Z Angel
16 1999-12-31T07:05:31Z Thiru
17 2008-07-17T16:49:35Z Terah
18 2005-02-06T07:33:35Z Jessie
Thisdata is thenwrittento/ appendedtoanEXCEL spreadsheetinCSV format(see the attached
EXCEL spreadsheet“YQL_Data_Extract_Example.csv”).
Note that the “content”fieldispopulatedbythe email addressesinthe formof,e.g.,
http://profiles.yahoo.com/v2/identities.handle(elabiner%40yahoo.com~yid),
whichisconvertedto elabiner@yahoo.com (whichwe candowithinEXCEL),i.e.,“%40”is replacedby
“@” and“~yid” is eliminated,etc.
27. Now,as I mentionedpreviously,the emailsinthe ‘content’fieldare notinthe correct order (due tothe
waythe data isgeneratedanddisplayedinthe YQL console due toYahoodata privacyissues) andwill
have to be put inthe correctorder manually,andsome extraneousun-necessaryfieldsinthe table
shouldbe eliminated,andwe can eliminate duplicates,entrieswithmissingdata,etc.andgenerally
cleanup the table manuallyasnecessary(e.g.,onlykeeprows/entrieswithemailswithrecentcreation
dates),butI thinkthisapproach/processmightoverall reduce some of the manual /brute force work
that wouldotherwisebe neededwithoutthe Pythontools/script.Forexample,itwouldbe easiernowto
correctlypopulate (inthe correctorder) the email fieldinthe table bymatchingthe emailswiththe
correct nicknames,familynames,givennamesorGUIDs(whichcouldbe lookedupviathe YQL console
if necessary) inthe table.
I can continue towork onthisas necessary,andthose onthe team(or elsewhere atVISA) withgreater
data science and/orEXCEL expertise mightbe able tofindwaystofurtherimprove orbuilduponthis
process(and/orfindalternativeapproaches) toreduce some of the manual/brute force workthatmay
(otherwise) be involvedhere.