This presentation educates you about Python and the reason for learning python, Key advantages of learning Python, Characteristics of Python, Hello World using Python syntax and Applications of Python.
For more topics stay tuned with Learnbay.
Devops On Cloud Powerpoint Template Slides Powerpoint Presentation SlidesSlideTeam
Introducing DevOps On Cloud PowerPoint Template Slides PowerPoint Presentation Slides. Provide an overview of DevOps with this attention-grabbing PPT slideshow. This presentation helps to understand the need for DevOps, how it is different from traditional IT, DevOps use cases in business, lifecycle, roadmap, and so on. Provide an overview of how DevOps is different from agile by using the content-ready DevOps strategy PPT visuals. The slides also explain the roles, responsibilities, and skills of DevOps engineers. DevOps automation tools and DevOps roadmap for implementation in the organization can be discussed effectively. Provide an overview of DevOps on the cloud by describing cloud computing, characteristics of cloud computing, benefits, top risks related to cloud computing, etc. Cloud computing use cases and cloud deployment models can be presented with the help of visual attention-grabbing DevOps implementation roadmap PowerPoint slides. The roadmap to integrate cloud computing in business can be depicted easily by using the DevOps implementation strategy PowerPoint slideshow. https://bit.ly/3d8uYRY
Introduction to web development - HTML 5Ayoub Ghozzi
This document introduces HTML and web development. It begins with prerequisites like Git and GitHub then covers HTML tags, structure, paragraphs, titles, lists, links, images, audio, video and tables. It also discusses forms, inputs like text, password, checkboxes and radio buttons. Select dropdowns, textareas and buttons are also covered. The document aims to provide basics and fundamentals of HTML and web development.
The document discusses XML and DTDs. It defines DTDs as describing the components and guidelines in an XML document by listing elements, attributes and their possible values, entities, and their interactions. It provides examples of element declarations in DTDs using tags like ELEMENT, EMPTY, ANY, and content models. It also distinguishes between internal and external DTDs and when each is generally used.
Is your company built on software? How do you know if your customer's experience is slow and sucks? How do you debug slowness or troubleshoot an incident? Observability! David Mitchell, VP of Engineering at Datadog will talk to use about Observability, why it's important, what it is and how Datadog helps reduce toil in your environment.
GDG Cloud Southlake #13
The document discusses using convolutional neural networks (CNNs) for text classification. It presents two CNN architectures - a character-level CNN that takes raw text as input and a word-level CNN that uses word embeddings. The word-level CNN achieved 85% accuracy on a product categorization task and was faster to train and run than the character-level CNN or traditional SVMs. The document concludes that word-level CNNs are a promising approach for text classification that can achieve high accuracy with minimal tuning.
HTML is a markup language used to define the structure and layout of web pages. It uses tags like <h1> and <p> to mark headings and paragraphs. CSS is used to style and lay out HTML elements, using selectors, declarations, and properties to change things like colors and positioning. JavaScript can be added to HTML pages with <script> tags and is used to add interactive elements and dynamic behavior by manipulating HTML and responding to user input. It has data types like strings and numbers and control structures like if/else statements.
This document provides an overview of continuous integration (CI), continuous delivery (CD), and continuous deployment. CI involves regularly integrating code changes into a central repository and running automated tests. CD builds on CI by automatically preparing code changes for release to testing environments. Continuous deployment further automates the release of changes to production without human intervention if tests pass. The benefits of CI/CD include higher quality, lower costs, faster delivery, and happier teams. Popular CI tools include Jenkins, Bamboo, CircleCI, and Travis. Key practices involve automating all stages, keeping environments consistent, and making the pipeline fast. Challenges include requiring organizational changes and technical knowledge to automate the full process.
This presentation educates you about Python and the reason for learning python, Key advantages of learning Python, Characteristics of Python, Hello World using Python syntax and Applications of Python.
For more topics stay tuned with Learnbay.
Devops On Cloud Powerpoint Template Slides Powerpoint Presentation SlidesSlideTeam
Introducing DevOps On Cloud PowerPoint Template Slides PowerPoint Presentation Slides. Provide an overview of DevOps with this attention-grabbing PPT slideshow. This presentation helps to understand the need for DevOps, how it is different from traditional IT, DevOps use cases in business, lifecycle, roadmap, and so on. Provide an overview of how DevOps is different from agile by using the content-ready DevOps strategy PPT visuals. The slides also explain the roles, responsibilities, and skills of DevOps engineers. DevOps automation tools and DevOps roadmap for implementation in the organization can be discussed effectively. Provide an overview of DevOps on the cloud by describing cloud computing, characteristics of cloud computing, benefits, top risks related to cloud computing, etc. Cloud computing use cases and cloud deployment models can be presented with the help of visual attention-grabbing DevOps implementation roadmap PowerPoint slides. The roadmap to integrate cloud computing in business can be depicted easily by using the DevOps implementation strategy PowerPoint slideshow. https://bit.ly/3d8uYRY
Introduction to web development - HTML 5Ayoub Ghozzi
This document introduces HTML and web development. It begins with prerequisites like Git and GitHub then covers HTML tags, structure, paragraphs, titles, lists, links, images, audio, video and tables. It also discusses forms, inputs like text, password, checkboxes and radio buttons. Select dropdowns, textareas and buttons are also covered. The document aims to provide basics and fundamentals of HTML and web development.
The document discusses XML and DTDs. It defines DTDs as describing the components and guidelines in an XML document by listing elements, attributes and their possible values, entities, and their interactions. It provides examples of element declarations in DTDs using tags like ELEMENT, EMPTY, ANY, and content models. It also distinguishes between internal and external DTDs and when each is generally used.
Is your company built on software? How do you know if your customer's experience is slow and sucks? How do you debug slowness or troubleshoot an incident? Observability! David Mitchell, VP of Engineering at Datadog will talk to use about Observability, why it's important, what it is and how Datadog helps reduce toil in your environment.
GDG Cloud Southlake #13
The document discusses using convolutional neural networks (CNNs) for text classification. It presents two CNN architectures - a character-level CNN that takes raw text as input and a word-level CNN that uses word embeddings. The word-level CNN achieved 85% accuracy on a product categorization task and was faster to train and run than the character-level CNN or traditional SVMs. The document concludes that word-level CNNs are a promising approach for text classification that can achieve high accuracy with minimal tuning.
HTML is a markup language used to define the structure and layout of web pages. It uses tags like <h1> and <p> to mark headings and paragraphs. CSS is used to style and lay out HTML elements, using selectors, declarations, and properties to change things like colors and positioning. JavaScript can be added to HTML pages with <script> tags and is used to add interactive elements and dynamic behavior by manipulating HTML and responding to user input. It has data types like strings and numbers and control structures like if/else statements.
This document provides an overview of continuous integration (CI), continuous delivery (CD), and continuous deployment. CI involves regularly integrating code changes into a central repository and running automated tests. CD builds on CI by automatically preparing code changes for release to testing environments. Continuous deployment further automates the release of changes to production without human intervention if tests pass. The benefits of CI/CD include higher quality, lower costs, faster delivery, and happier teams. Popular CI tools include Jenkins, Bamboo, CircleCI, and Travis. Key practices involve automating all stages, keeping environments consistent, and making the pipeline fast. Challenges include requiring organizational changes and technical knowledge to automate the full process.
Este documento explica cómo funcionan las páginas web y los lenguajes HTML y CSS. HTML es el lenguaje de marcado que contiene los elementos de una página web, mientras que CSS determina cómo se visualizan esos elementos. Cuando un usuario ingresa una URL en un navegador, este envía una petición al servidor y recibe una respuesta que generalmente contiene HTML y referencias a archivos CSS.
The document discusses a lecture on developing an AI chatbot using Python and TensorFlow, covering setting up a Docker environment, explaining example code in Jupyter notebooks, and introducing the two speakers and their backgrounds working on machine learning and chatbots.
This document provides an introduction to the Python programming language. It discusses that Python was created by Guido van Rossum in 1991 and is widely used for web, desktop, game, and data analysis applications. The document also summarizes key Python features like being high-level, interpreted, dynamically typed, object-oriented, extensible, portable, and having a rich standard library. It also covers Python data types, variables, operators, control flow statements, modules, and exceptions.
The document provides an overview of basic CSS (Cascading Style Sheets) concepts including what CSS is, why it is used, CSS syntax, selectors like element, class, ID and pseudo selectors, and common CSS properties for styling elements like color, background, fonts, text, lists, and borders. CSS is used to control the presentation and layout of HTML documents and is linked to HTML pages through <link> or <style> tags in the <head> section.
Modern Tools for API Testing, Debugging and MonitoringNeil Mansilla
Presented at DocuSign Momentum DevCon 2015 in San Francisco by Neil Mansilla. During the presentation, I discussed a number of useful community tools for API testing/debugging, followed by several live demos of Runscope API testing and monitoring tools. For more information, or to try Runscope, visit https://www.runscope.com
Language translation with Deep Learning (RNN) with TensorFlowS N
This document provides an overview of a meetup on language translation with deep learning using TensorFlow on FloydHub. It will cover the language translation challenge, introducing key concepts like deep learning, RNNs, NLP, TensorFlow and FloydHub. It will then describe the solution approach to the translation task, including a demo and code walkthrough. Potential next steps and references for further learning are also mentioned.
pandas: Powerful data analysis tools for PythonWes McKinney
Wes McKinney introduced pandas, a Python data analysis library built on NumPy. Pandas provides data structures and tools for cleaning, manipulating, and working with relational and time-series data. Key features include DataFrame for 2D data, hierarchical indexing, merging and joining data, and grouping and aggregating data. Pandas is used heavily in financial applications and has over 1500 unit tests, ensuring stability and reliability. Future goals include better time series handling and integration with other Python data science packages.
This document discusses DevOps maturity models and provides an example roadmap for improving DevOps practices. It begins by introducing the speaker and their background. It then presents a DevOps maturity model consisting of five levels related to planning, development, testing, release/deployment, and monitoring practices. The document analyzes where a particular organization currently falls in the model and identifies priorities and new practices that could help them progress to the next level, such as increasing test coverage and automating deployments. The overall goal is to incrementally improve processes through a 70/30 split of effort between business value and technical improvements.
Python Interview Questions And Answers 2019 | EdurekaEdureka!
( ** Python Training : https://www.edureka.co/python ** )
This PPT on Python Interview Questions and Answers will help you prepare for Python job interviews. Start your preparation by going through the most frequently asked questions on Python.
Check out our Python Training Playlist: https://goo.gl/Na1p9G
Follow us to never miss an update in the future:
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This Edureka Python tutorial is a part of Python Course (Python Tutorial Blog: https://goo.gl/wd28Zr) and will help you in understanding what exactly is Python and its various applications. It also explains few Python code basics like data types, operators etc. Below are the topics covered in this tutorial:
1. Introduction to Python
2. Various Python Features
3. Python Applications
4. Python for Web Scraping
5. Python for Testing
6. Python for Web Development
7. Python for Data Analysis
Tailwind CSS is a utility-first CSS framework that allows for rapidly building custom designs using utility classes rather than pre-designed components. It provides low-level utility classes that can be used to style self-created components and build completely custom designs directly in HTML without needing to leave the file. The document then outlines how to install Tailwind CSS, its workflow, examples of how to build common components like alerts and buttons, and advantages like being responsive, customizable and friendly for building components.
The document provides information about an upcoming bootcamp on natural language processing (NLP) being conducted by Anuj Gupta. It discusses Anuj Gupta's background and experience in machine learning and NLP. The objective of the bootcamp is to provide a deep dive into state-of-the-art text representation techniques in NLP and help participants apply these techniques to solve their own NLP problems. The bootcamp will be very hands-on and cover topics like word vectors, sentence/paragraph vectors, and character vectors over two days through interactive Jupyter notebooks.
Monitoring What Matters: The Prometheus Approach to Whitebox Monitoring (Berl...Brian Brazil
Prometheus is an open-source monitoring system that allows for whitebox monitoring through metrics collected from inside systems and applications. It provides the ability to alert on high-level symptoms, debug issues through customizable dashboards, and perform complex queries across metrics. Prometheus empowers building monitoring that matters through alerting on important business metrics, gaining insight via dashboards, and integrating with other systems via open interfaces.
This document provides examples and explanations of basic HTML elements and tags. It covers common tags for text formatting, lists, links, images, tables and more. Each example is presented as a short code snippet with descriptive comments to explain what the code is demonstrating. The document serves as a tutorial for someone learning the basics of HTML markup.
System Monitoring With Nagios PowerPoint Presentation SlidesSlideTeam
Uncomplicate explanation through state-of-the-art data visualization of System Monitoring With Nagios PowerPoint Presentation Slides. The audience-friendly PowerPoint layout helps viewers quickly and painlessly grasp the crux of Nagios continuous monitoring. Showcase the characteristics and merits of Nagios Core with the help of our PPT presentation. Present the operating principles, and architecture of Nagios through a labeled diagram. Highlight the Nagios Remote Plugin Executor through this extensive Nagios monitoring PowerPoint template deck. NRPE Nagios plugin diagram included in our PPT slideshow assists in elucidating the remote system monitoring mechanism. Communicate Nagios use case for email alerts. This PowerPoint theme is appropriate to showcase system monitoring, networking monitoring, as well as infrastructure monitoring. The info in our presentation is gathered by industry experts. Reap the benefit of the cutting-edge graphics developed using a combination of expertise and professional tools. Hit the download icon to instantly execute final design edits. Our System Monitoring With Nagios PowerPoint Presentation Slides are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/2MHJXJ7
El documento resume las principales etiquetas de HTML para estructurar y dar formato a páginas web. Algunas de las etiquetas clave incluyen <html> para definir el documento, <head> para metadatos, <body> para contenido, <p> para párrafos, <b> para negrita, <img> para imágenes, <a> para enlaces, <table> para tablas, y <frameset> para páginas con marcos. El documento proporciona ejemplos detallados de cómo utilizar estas etiquetas para crear
2019 12 19 Mississauga .Net User Group - Machine Learning.Net and Auto MLBruno Capuano
Slides used during the "Machine Learning Galore" session, on 2019 December 19 at the Microsoft offices. Event hosted by the Mississauga .Net User Group and my session was around Machine Learning.Net and Auto ML
DITA 101 provides an overview of the Darwin Information Typing Architecture (DITA). DITA is an XML standard for topic-based authoring and modular content. It allows for reuse of topics and content through map files and content references. While DITA supports structured authoring and reuse, it may not be suitable for all scenarios depending on required structure and standards. The webinar discusses key DITA concepts, typical use cases, strengths, weaknesses, and whether DITA may be a good fit based on specific business needs and requirements.
This document discusses using Python for enterprise applications. It notes some issues with traditional enterprise architectures like poor scalability and high complexity. It argues that Python is a good alternative as it is dynamic, object-oriented, and has strong integration support. Python code tends to be more readable, maintainable and productive to write. The document suggests Python could help with issues like HTTP session replication, memory usage, and complex XML/SOA standards. It provides some Python modules and techniques for building scalable and distributed systems. Overall it promotes Python as a way to improve productivity, quality and time to market for enterprise software.
Este documento explica cómo funcionan las páginas web y los lenguajes HTML y CSS. HTML es el lenguaje de marcado que contiene los elementos de una página web, mientras que CSS determina cómo se visualizan esos elementos. Cuando un usuario ingresa una URL en un navegador, este envía una petición al servidor y recibe una respuesta que generalmente contiene HTML y referencias a archivos CSS.
The document discusses a lecture on developing an AI chatbot using Python and TensorFlow, covering setting up a Docker environment, explaining example code in Jupyter notebooks, and introducing the two speakers and their backgrounds working on machine learning and chatbots.
This document provides an introduction to the Python programming language. It discusses that Python was created by Guido van Rossum in 1991 and is widely used for web, desktop, game, and data analysis applications. The document also summarizes key Python features like being high-level, interpreted, dynamically typed, object-oriented, extensible, portable, and having a rich standard library. It also covers Python data types, variables, operators, control flow statements, modules, and exceptions.
The document provides an overview of basic CSS (Cascading Style Sheets) concepts including what CSS is, why it is used, CSS syntax, selectors like element, class, ID and pseudo selectors, and common CSS properties for styling elements like color, background, fonts, text, lists, and borders. CSS is used to control the presentation and layout of HTML documents and is linked to HTML pages through <link> or <style> tags in the <head> section.
Modern Tools for API Testing, Debugging and MonitoringNeil Mansilla
Presented at DocuSign Momentum DevCon 2015 in San Francisco by Neil Mansilla. During the presentation, I discussed a number of useful community tools for API testing/debugging, followed by several live demos of Runscope API testing and monitoring tools. For more information, or to try Runscope, visit https://www.runscope.com
Language translation with Deep Learning (RNN) with TensorFlowS N
This document provides an overview of a meetup on language translation with deep learning using TensorFlow on FloydHub. It will cover the language translation challenge, introducing key concepts like deep learning, RNNs, NLP, TensorFlow and FloydHub. It will then describe the solution approach to the translation task, including a demo and code walkthrough. Potential next steps and references for further learning are also mentioned.
pandas: Powerful data analysis tools for PythonWes McKinney
Wes McKinney introduced pandas, a Python data analysis library built on NumPy. Pandas provides data structures and tools for cleaning, manipulating, and working with relational and time-series data. Key features include DataFrame for 2D data, hierarchical indexing, merging and joining data, and grouping and aggregating data. Pandas is used heavily in financial applications and has over 1500 unit tests, ensuring stability and reliability. Future goals include better time series handling and integration with other Python data science packages.
This document discusses DevOps maturity models and provides an example roadmap for improving DevOps practices. It begins by introducing the speaker and their background. It then presents a DevOps maturity model consisting of five levels related to planning, development, testing, release/deployment, and monitoring practices. The document analyzes where a particular organization currently falls in the model and identifies priorities and new practices that could help them progress to the next level, such as increasing test coverage and automating deployments. The overall goal is to incrementally improve processes through a 70/30 split of effort between business value and technical improvements.
Python Interview Questions And Answers 2019 | EdurekaEdureka!
( ** Python Training : https://www.edureka.co/python ** )
This PPT on Python Interview Questions and Answers will help you prepare for Python job interviews. Start your preparation by going through the most frequently asked questions on Python.
Check out our Python Training Playlist: https://goo.gl/Na1p9G
Follow us to never miss an update in the future:
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
This Edureka Python tutorial is a part of Python Course (Python Tutorial Blog: https://goo.gl/wd28Zr) and will help you in understanding what exactly is Python and its various applications. It also explains few Python code basics like data types, operators etc. Below are the topics covered in this tutorial:
1. Introduction to Python
2. Various Python Features
3. Python Applications
4. Python for Web Scraping
5. Python for Testing
6. Python for Web Development
7. Python for Data Analysis
Tailwind CSS is a utility-first CSS framework that allows for rapidly building custom designs using utility classes rather than pre-designed components. It provides low-level utility classes that can be used to style self-created components and build completely custom designs directly in HTML without needing to leave the file. The document then outlines how to install Tailwind CSS, its workflow, examples of how to build common components like alerts and buttons, and advantages like being responsive, customizable and friendly for building components.
The document provides information about an upcoming bootcamp on natural language processing (NLP) being conducted by Anuj Gupta. It discusses Anuj Gupta's background and experience in machine learning and NLP. The objective of the bootcamp is to provide a deep dive into state-of-the-art text representation techniques in NLP and help participants apply these techniques to solve their own NLP problems. The bootcamp will be very hands-on and cover topics like word vectors, sentence/paragraph vectors, and character vectors over two days through interactive Jupyter notebooks.
Monitoring What Matters: The Prometheus Approach to Whitebox Monitoring (Berl...Brian Brazil
Prometheus is an open-source monitoring system that allows for whitebox monitoring through metrics collected from inside systems and applications. It provides the ability to alert on high-level symptoms, debug issues through customizable dashboards, and perform complex queries across metrics. Prometheus empowers building monitoring that matters through alerting on important business metrics, gaining insight via dashboards, and integrating with other systems via open interfaces.
This document provides examples and explanations of basic HTML elements and tags. It covers common tags for text formatting, lists, links, images, tables and more. Each example is presented as a short code snippet with descriptive comments to explain what the code is demonstrating. The document serves as a tutorial for someone learning the basics of HTML markup.
System Monitoring With Nagios PowerPoint Presentation SlidesSlideTeam
Uncomplicate explanation through state-of-the-art data visualization of System Monitoring With Nagios PowerPoint Presentation Slides. The audience-friendly PowerPoint layout helps viewers quickly and painlessly grasp the crux of Nagios continuous monitoring. Showcase the characteristics and merits of Nagios Core with the help of our PPT presentation. Present the operating principles, and architecture of Nagios through a labeled diagram. Highlight the Nagios Remote Plugin Executor through this extensive Nagios monitoring PowerPoint template deck. NRPE Nagios plugin diagram included in our PPT slideshow assists in elucidating the remote system monitoring mechanism. Communicate Nagios use case for email alerts. This PowerPoint theme is appropriate to showcase system monitoring, networking monitoring, as well as infrastructure monitoring. The info in our presentation is gathered by industry experts. Reap the benefit of the cutting-edge graphics developed using a combination of expertise and professional tools. Hit the download icon to instantly execute final design edits. Our System Monitoring With Nagios PowerPoint Presentation Slides are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/2MHJXJ7
El documento resume las principales etiquetas de HTML para estructurar y dar formato a páginas web. Algunas de las etiquetas clave incluyen <html> para definir el documento, <head> para metadatos, <body> para contenido, <p> para párrafos, <b> para negrita, <img> para imágenes, <a> para enlaces, <table> para tablas, y <frameset> para páginas con marcos. El documento proporciona ejemplos detallados de cómo utilizar estas etiquetas para crear
2019 12 19 Mississauga .Net User Group - Machine Learning.Net and Auto MLBruno Capuano
Slides used during the "Machine Learning Galore" session, on 2019 December 19 at the Microsoft offices. Event hosted by the Mississauga .Net User Group and my session was around Machine Learning.Net and Auto ML
DITA 101 provides an overview of the Darwin Information Typing Architecture (DITA). DITA is an XML standard for topic-based authoring and modular content. It allows for reuse of topics and content through map files and content references. While DITA supports structured authoring and reuse, it may not be suitable for all scenarios depending on required structure and standards. The webinar discusses key DITA concepts, typical use cases, strengths, weaknesses, and whether DITA may be a good fit based on specific business needs and requirements.
This document discusses using Python for enterprise applications. It notes some issues with traditional enterprise architectures like poor scalability and high complexity. It argues that Python is a good alternative as it is dynamic, object-oriented, and has strong integration support. Python code tends to be more readable, maintainable and productive to write. The document suggests Python could help with issues like HTTP session replication, memory usage, and complex XML/SOA standards. It provides some Python modules and techniques for building scalable and distributed systems. Overall it promotes Python as a way to improve productivity, quality and time to market for enterprise software.
2019 09 05 Global AI Night Toronto - Machine Learning.NetBruno Capuano
This document contains information about ML.NET, a machine learning framework for .NET developers. It discusses how ML.NET simplifies the machine learning process by taking care of data preparation, feature selection, and hyperparameter tuning. It also describes how ML.NET accelerates model development through automated machine learning (AutoML) and model explainability features. The document provides code examples of using ML.NET for sentiment analysis and AutoML for a taxi fare prediction problem.
Slides used during the virtual conference, NetCoreConf on April 04, 2020. The session was a introduction to Machine Learning for .Net developers, using ML.Net as the main framework.
Provenance in Production-Grade Machine LearningAnand Sampat
Over the next few years, every company must develop a strategy to leverage artificial intelligence and machine learning to stay relevant and beat out competitors. This requires hiring talented data scientists as well as DevOps and data engineers who can put these into production. Today, finding that perfect combination of talent can be difficult, but a focus on retraining and productivity tools can increase a small team’s impact on business ROI by over 10x. In this technical talk, we discuss how enterprises can better prepare their employees to deploy artificial intelligence and machine learning into production by using the same techniques used in software to add provenance, reliability, and efficiency to these processes. Specifically, we describe the benefits of adding provenance including reliable deployments and builds, A/B testing, continuous deployment, and automation and show how they can decrease the time to business ROI by over 10x.
The Data Janitor Returns | Daniel Molnar | DN18DataconomyGmbH
This document provides perspectives from a data analytics engineer on various topics. It recommends taking a practical approach to machine learning and data science, focusing on fast and good enough solutions rather than overengineering. It also discusses worries about privacy with GDPR and concerns about companies' use of personal data and analytics for marketing purposes. Measurement and metrics are discussed, emphasizing simple and interpretable metrics over more complex approaches. Programming languages and tools mentioned include Python, SQL, Metabase, and Presto.
DN18 | The Data Janitor Returns | Daniel Molnar | Oberlo/Shopify Dataconomy Media
Abstract of the Presentation:
This talk is for the underdog. If you’re trying to solve data related problems with no or limited resources, be them time, money or skills don’t go no further. This talk points mostly to decades old technology, free operating systems and cheap hardware if possible, but if it makes sense to spend a hundred bucks instead of tearing your hair, we’ll say so. This talk is opinionated and updated to GDPR, deep learning and all the hype.
About the Author:
Daniel Molnar is a data nerd and startup specialist. With over 19 years of experience in startups and nine years of expertise in data related topics, he is an experienced co-founder who has built and hired teams up of to 30 people. He comes with expertise in proven build-to-market capabilities and utilizing data for successful products. An amalgamation of his skills would be CS + data + product background under one hat.
Introduction to the new Tensorflow 2.x and the Coral AI Edge TPU hardware. The presentation introduces Tensorflow main features such as Sequential and Functional APIs, mobile support with Tensorflow Lite, web support with TensorflowJS and Google Cloud support with TFX.
In addition, the presentation introduces the new edge TPU architecture coming from Coral AI, including its main hardware features and description of the compiling flow.
This document provides an introduction to theme development in Drupal. It discusses the roles of designers and developers in creating themes, and outlines some of the key considerations and tools involved in theme development, including file types, template naming conventions, overriding functions, and helpful modules. The document also provides many links to additional Drupal theme resources and examples.
This document summarizes Brian Coffey's presentation on using D3.js for data visualization in Jupyter notebooks. It introduces using HTML displays to add DOM elements like CSS, JavaScript, and divs. D3.js is described as a JavaScript library that modifies the DOM based on data arrays. Python data can be written into script elements for D3 to use. Examples shown include a scatterplot, bar chart with interactivity, networks and maps using different D3 blocks. The document also references an external Python library that can encapsulate boilerplate code for D3 visualizations in Jupyter.
Agile.. and then? – Enterprise DevOps: the digital transformation of the IT...Peter Muryshkin
Learn how DevOps can help ITSM to access the strategic value envelope available for the digital transformation of the enterprise.
Today, ITSM has to deal with many new, disruptive things.
Digital transformation should be a key asset in the transformational leadership portfolio. For the enterprise IT, DevOps can be the cross functional common language and the toolkit to make the IT part of this transformation.
This document summarizes 10 ways to improve code based on a presentation by Neal Ford. The techniques discussed include composing methods to perform single tasks, test-driven development to design through tests, using static analysis tools to find bugs, avoiding singletons, applying the YAGNI principle to only build what is needed, questioning conventions, embracing polyglot programming, learning Java nuances, enforcing the single level of abstraction principle, and considering "anti-objects" that go against object-oriented design. Questions from the audience are then addressed.
The document provides career advice for advancing in a data science career. It recommends focusing on infrastructure skills like AWS and Kubernetes ("get into infrastructure"). It also advises being product-oriented by helping product managers, talking to stakeholders, and taking end-to-end ownership ("be product-oriented"). Additionally, it suggests using the 80/20 rule to focus on the most important 20% of skills that provide 80% of results.
The Rise of the DataOps - Dataiku - J On the Beach 2016 Dataiku
Many organisations are creating groups dedicated to data. These groups have many names : Data Team, Data Labs, Analytics Teams….
But whatever the name, the success of those teams depends a lot on the quality of the data infrastructure and their ability to actually deploy data science applications in production.
In that regards a new role of “DataOps” is emerging. Similar, to Dev Ops for (Web) Dev, the Data Ops is a merge between a data engineer and a platform administrator. Well versed in cluster administration and optimisation, a data ops would have also a perspective on the quality of data quality and the relevance of predictive models.
Do you want to be a Data Ops ? We’ll discuss its role and challenges during this talk
From dev to ops and beyond - getting it doneEdorian
This document discusses best practices for software development teams to continuously deliver and maintain successful products beyond initial release. It emphasizes establishing practices like continuous integration, deployment automation, configuration management, and ensuring code quality and maintainability through techniques like testing, code reviews and style guidelines. The goal is to keep developers focused on continuously delivering business value while facilitating collaboration between development and operations teams.
OSCON 2014: Data Workflows for Machine LearningPaco Nathan
This document provides examples of different frameworks that can be used for machine learning data workflows, including KNIME, Python, Julia, Summingbird, Scalding, and Cascalog. It describes features of each framework such as KNIME's large number of integrations and visual workflow editing, Python's broad ecosystem, Julia's performance and parallelism support, Summingbird's ability to switch between Storm and Scalding backends, and Scalding's implementation of the Scala collections API over Cascading for compact workflow code. The document aims to familiarize readers with options for building machine learning data workflows.
Similar to PCA11: Python for Product Managers (20)
Adani Group Requests For Additional Land For Its Dharavi Redevelopment Projec...Adani case
It will bring about growth and development not only in Maharashtra but also in our country as a whole, which will experience prosperity. The project will also give the Adani Group an opportunity to rise above the controversies that have been ongoing since the Adani CBI Investigation.
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Unlocking WhatsApp Marketing with HubSpot: Integrating Messaging into Your Ma...Niswey
50 million companies worldwide leverage WhatsApp as a key marketing channel. You may have considered adding it to your marketing mix, or probably already driving impressive conversions with WhatsApp.
But wait. What happens when you fully integrate your WhatsApp campaigns with HubSpot?
That's exactly what we explored in this session.
We take a look at everything that you need to know in order to deploy effective WhatsApp marketing strategies, and integrate it with your buyer journey in HubSpot. From technical requirements to innovative campaign strategies, to advanced campaign reporting - we discuss all that and more, to leverage WhatsApp for maximum impact. Check out more details about the event here https://events.hubspot.com/events/details/hubspot-new-delhi-presents-unlocking-whatsapp-marketing-with-hubspot-integrating-messaging-into-your-marketing-strategy/
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Adani Group's Active Interest In Increasing Its Presence in the Cement Manufa...Adani case
Time and again, the business group has taken up new business ventures, each of which has allowed it to expand its horizons further and reach new heights. Even amidst the Adani CBI Investigation, the firm has always focused on improving its cement business.
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Tired of chasing down expiring contracts and drowning in paperwork? Mastering contract management can significantly enhance your business efficiency and productivity. This guide unveils expert secrets to streamline your contract management process. Learn how to save time, minimize risk, and achieve effortless contract management.
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Enhancing Adoption of AI in Agri-food: IntroductionCor Verdouw
Introduction to the Panel on: Pathways and Challenges: AI-Driven Technology in Agri-Food, AI4Food, University of Guelph
“Enhancing Adoption of AI in Agri-food: a Path Forward”, 18 June 2024
3. Python + Product Management
If this is your image please let me know so I can give you credit!
4. The Zen of Python (and product management?)
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Readability counts.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
http://www.python.org/dev/peps/pep-0020/ / import this
5. What type of data driven product
manager are you?
6. A (simple) real world example
Dun and Bradstreet dataset
906,471 rows
42 columns
611MB text file
Code Example: http://bit.ly/PythonforPM