Slides from my talk on web scraping to BrisJS the Brisbane JavaScript meetup.
You can find the code on GitHub: https://github.com/ashleydavis/brisjs-web-scraping-talk
Introduction to web scraping from static and Ajax generated web pages with Python, using urllib, BeautifulSoup, and Selenium. The slides are from a talk given at Vancouver PyLadies meetup on March 7, 2016.
What is Web Scraping and What is it Used For? | Definition and Examples EXPLAINED
For More details Visit - https://hirinfotech.com
About Web scraping for Beginners - Introduction, Definition, Application and Best Practice in Deep Explained
What is Web Scraping or Crawling? and What it is used for? Complete introduction video.
Web Scraping is widely used today from small organizations to Fortune 500 companies. A wide range of applications of web scraping a few of them are listed here.
1. Lead Generation and Marketing Purpose
2. Product and Brand Monitoring
3. Brand or Product Market Reputation Analysis
4. Opening Mining and Sentimental Analysis
5. Gathering data for machine learning
6. Competitor Analysis
7. Finance and Stock Market Data analysis
8. Price Comparison for Product or Service
9. Building a product catalog
10. Fueling Job boards with Job listings
11. MAP compliance monitoring
12. Social media Monitor and Analysis
13. Content and News monitoring
14. Scrape search engine results for SEO monitoring
15. Business-specific application
------------
Basics of web scraping using python
Python Scraping Library
Getting started with Web Scraping in PythonSatwik Kansal
All the necessary tricks, libraries, tools that a beginner should know to successfully scrape any site with python. Instead of covering on code I'm focusing more on developing an intuition in the reader so that he can decide intuitively what path to take.
Web Scraping using Python | Web Screen ScrapingCynthiaCruz55
Web scraping is the process of collecting and parsing raw data from the Web, and the Python community has come up with some pretty powerful web scraping tools.
Imagine you have to pull a large amount of data from websites and you want to do it as quickly as possible. How would you do it without manually going to each website and getting the data? Well, “Web Scraping” is the answer. Web Scraping just makes this job easier and faster.
https://www.webscreenscraping.com/hire-python-developers.php
Data Wranglers DC December meetup: http://www.meetup.com/Data-Wranglers-DC/events/151563622/
There's a lot of data sitting on websites just waiting to be combined with data you have sitting on your servers. During this talk, Robert Dempsey will show you how to create a dataset using Python by scraping websites for the data you want.
Web Scraping and Data Extraction ServicePromptCloud
Learn more about Web Scraping and data extraction services. We have covered various points about scraping, extraction and converting un-structured data to structured format. For more info visit http://promptcloud.com/
Introduction to web scraping from static and Ajax generated web pages with Python, using urllib, BeautifulSoup, and Selenium. The slides are from a talk given at Vancouver PyLadies meetup on March 7, 2016.
What is Web Scraping and What is it Used For? | Definition and Examples EXPLAINED
For More details Visit - https://hirinfotech.com
About Web scraping for Beginners - Introduction, Definition, Application and Best Practice in Deep Explained
What is Web Scraping or Crawling? and What it is used for? Complete introduction video.
Web Scraping is widely used today from small organizations to Fortune 500 companies. A wide range of applications of web scraping a few of them are listed here.
1. Lead Generation and Marketing Purpose
2. Product and Brand Monitoring
3. Brand or Product Market Reputation Analysis
4. Opening Mining and Sentimental Analysis
5. Gathering data for machine learning
6. Competitor Analysis
7. Finance and Stock Market Data analysis
8. Price Comparison for Product or Service
9. Building a product catalog
10. Fueling Job boards with Job listings
11. MAP compliance monitoring
12. Social media Monitor and Analysis
13. Content and News monitoring
14. Scrape search engine results for SEO monitoring
15. Business-specific application
------------
Basics of web scraping using python
Python Scraping Library
Getting started with Web Scraping in PythonSatwik Kansal
All the necessary tricks, libraries, tools that a beginner should know to successfully scrape any site with python. Instead of covering on code I'm focusing more on developing an intuition in the reader so that he can decide intuitively what path to take.
Web Scraping using Python | Web Screen ScrapingCynthiaCruz55
Web scraping is the process of collecting and parsing raw data from the Web, and the Python community has come up with some pretty powerful web scraping tools.
Imagine you have to pull a large amount of data from websites and you want to do it as quickly as possible. How would you do it without manually going to each website and getting the data? Well, “Web Scraping” is the answer. Web Scraping just makes this job easier and faster.
https://www.webscreenscraping.com/hire-python-developers.php
Data Wranglers DC December meetup: http://www.meetup.com/Data-Wranglers-DC/events/151563622/
There's a lot of data sitting on websites just waiting to be combined with data you have sitting on your servers. During this talk, Robert Dempsey will show you how to create a dataset using Python by scraping websites for the data you want.
Web Scraping and Data Extraction ServicePromptCloud
Learn more about Web Scraping and data extraction services. We have covered various points about scraping, extraction and converting un-structured data to structured format. For more info visit http://promptcloud.com/
The slides for my presentation on BIG DATA EN LAS ESTADÍSTICAS OFICIALES - ECONOMÍA DIGITAL Y EL DESARROLLO, 2019 in Colombia. I was invited to give a talk about the technical aspect of web-scraping and data collection for online resources.
Web scraping is mostly about parsing and normalization. This presentation introduces people to harvesting methods and tools as well as handy utilities for extracting and normalizing data
Introduction to Web Scraping using Python and Beautiful SoupTushar Mittal
These are the slides on the topic Introduction to Web Scraping using the Python 3 programming language. Topics covered are-
What is Web Scraping?
Need of Web Scraping
Real Life used cases .
Workflow and Libraries used.
Web Development is website development which is explained by Derin Dolen in this PPt in very detail and simple words. Derin Dolen ppt on web development is must be read and share.
Burp Suite is an integrated platform for performing security testing of web applications. It is designed to support the methodology of a hands-on tester, and gives you complete control over the actions that it performs, and deep analysis of the results. Burp contains several tools that work together to carry out virtually any task you will encounter in your testing. It can automate all kinds of tasks in customizable ways, and lets you combine manual and automated techniques to make your testing faster, more reliable and more fun.
HTML5 Web Storage is a way for web pages to store named key/value pairs locally, within the client web browser. Like cookies, this data persists even after you navigate away from the web site, close your browser tab, exit your browser, or what have you. Unlike cookies, this data is never transmitted to the remote web server (unless you go out of your way to send it manually). Unlike all previous attempts at providing persistent local storage, it is implemented natively in web browsers.
The slides for my presentation on BIG DATA EN LAS ESTADÍSTICAS OFICIALES - ECONOMÍA DIGITAL Y EL DESARROLLO, 2019 in Colombia. I was invited to give a talk about the technical aspect of web-scraping and data collection for online resources.
Web scraping is mostly about parsing and normalization. This presentation introduces people to harvesting methods and tools as well as handy utilities for extracting and normalizing data
Introduction to Web Scraping using Python and Beautiful SoupTushar Mittal
These are the slides on the topic Introduction to Web Scraping using the Python 3 programming language. Topics covered are-
What is Web Scraping?
Need of Web Scraping
Real Life used cases .
Workflow and Libraries used.
Web Development is website development which is explained by Derin Dolen in this PPt in very detail and simple words. Derin Dolen ppt on web development is must be read and share.
Burp Suite is an integrated platform for performing security testing of web applications. It is designed to support the methodology of a hands-on tester, and gives you complete control over the actions that it performs, and deep analysis of the results. Burp contains several tools that work together to carry out virtually any task you will encounter in your testing. It can automate all kinds of tasks in customizable ways, and lets you combine manual and automated techniques to make your testing faster, more reliable and more fun.
HTML5 Web Storage is a way for web pages to store named key/value pairs locally, within the client web browser. Like cookies, this data persists even after you navigate away from the web site, close your browser tab, exit your browser, or what have you. Unlike cookies, this data is never transmitted to the remote web server (unless you go out of your way to send it manually). Unlike all previous attempts at providing persistent local storage, it is implemented natively in web browsers.
Common SEO Mistakes During Site Relaunches, Redesigns, Migrations (2018) Melanie Phung
Nine (mostly technical) ways to ruin your search engine rankings and kill your traffic with a site redesign, relaunch or migration … and how to avoid them. This talk was originally presented at WordPress DC.
You Can Work on the Web Patform! (GOSIM 2023)Igalia
Have you ever wanted to work on a web browser? Servo is an experimental web
engine written in Rust. Its small code base and friendly community mean that it
is an ideal project for those looking to dip their toes into the world of web
browser engineering.
In this, Martin Robinson covers the basics of building and running
Servo on your own computer. In addition, we'll take a tour of Servo's main
subsystems and see what kind of work goes into building them. Additionally,
we'll cover a variety of types of contributions to Servo, adapted to different
kinds of experience and specialization. By the end you should have the tools
you need to explore contributing yourself.
(c) GOSIM Workshop 2023
Sept 23-24
Grand Hyatt, Pudong, Shanghai
https://workshop2023.gosim.org/
https://www.bilibili.com/video/BV1Hw411r7Q6/
Bodin - Hullin & Potencier - Magento Performance Profiling and Best PracticesMeet Magento Italy
Performance is critical to eCommerce businesses, having a direct impact on cart abandonment rate. There’s countless statistics about this. What is missing is the right tools and the best practices. Before even setting up Content Delivery Networks or aiming for low hanging fruits such as images compression, the first thing to look at is the PHP code.
Fabien Potencier and Jacques Bodin-Hullin presented some do’s and don’ts in PHP code performance on Magento 2, what profiling is, and how profiling in development, test, staging and production makes it possible to proactively improve performance. They also unveiled testing strategies which make it possible to automate validation of code iterations with continuous integration and continuous deployment strategies.
TSC Summit #4 - Howto get browser persitence and remote execution (JS)Mikal Villa
A simple PoC shown how insecure random http proxies are. And how easy you can trick people into traps.
Disclaimer: No data collected under the PoC was saved after the presentation, and everything was removed from the user browsers without any harm or stealing of information or any criminal activity at all.
This is a quick presentation introducing the idea of automated testing, giving some reasons to do it, showing one way to do automated UI testing using Behat, and then pointing to more resources.
Scraping the web with Laravel, Dusk, Docker, and PHPPaul Redmond
Jumpstart your web scraping automation in the cloud with Laravel Dusk, Docker, and friends. We will discuss the types of web scraping tools, the best tools for the job, and how to deal with running selenium in Docker.
Code examples @ https://github.com/paulredmond/scraping-with-laravel-dusk
PrairieDevCon 2014 - Web Doesn't Mean Slowdmethvin
Web sites can be fast and responsive once you understand the process web browsers use to load and run web pages. We'll look at using tools like WebPageTest to analyze and optimize web pages.
An introduction to accessibility: definition, concepts, some requirements from WCAG, checking the accessibility conformance, recommendations and curiosities.
Our trainers will cover both the theoretical and practical side of working with Oro – from configuring the environment to building applications, testing, code review, assurance, and more.
Live reloading your code - getting near instant feedback while you are coding - is a fundamental part of maintaining a rapid pace of development.
Video of the talk: https://youtu.be/rdb8vbeL5LY
Blog post: https://www.codecapers.com.au/live-reload-across-the-stack/
Example code: https://github.com/ashleydavis/live-reload-examples
In this talk we'll look at the best ways to implement automatic live reload across your tech stack for JavaScript, including:
- Live reloading code in the backend and frontend;
- Using "watch mode" for live reload of your automated tests;
- Automatically synchronising code changes into a running Docker container and reloading it.
There's simply no part of your development and testing process that can't be improved by automatically reloading so you can easily test your code changes.
Join software craftsman and author Ashley Davis for a tour and demonstration of configuring live reload across your stack.
Microservices with Node.js - Livestreamed for ManningAshley Davis
My livestream for Manning "Microservices with Node.js".
In this talk:
- An introduction to microservices
- Live coding:
- Building a simple Node.js microservice from scratch
- Creating a Dockerfile, then building and running a Docker image
Watch the video on YouTube:
https://youtu.be/19xbeFkSdpU
My book Bootstrapping Microservices is available from Manning:
http://bit.ly/2o0aDsP
Follow the author on Twitter for news and updates: @codecapers
Slides for Ashley Davis' talk Rapid Fullstack Development:
In this talk you'll learn some tricks of the trade for being a fast developer working across the stack.
Join software craftsman and author Ashley Davis and learn techniques for high velocity development that he has spent many years practising and refining.
The book: https://rapidfullstackdevelopment.com/
Slides for Ashley Davis' talk Rapid Fullstack Development:
In this talk you'll learn some tricks of the trade for being a fast developer working across the stack.
Join software craftsman and author Ashley Davis and learn techniques for high velocity development that he has spent many years practising and refining.
The talk: https://youtu.be/_pSW2l9fvo8
The book: https://rapidfullstackdevelopment.com/
Building microservices with Node.js - part 2Ashley Davis
Part 2 of my talk on building microservice with Node.js.
In this session we scale up our development environment to multiple microservices using Docker-Compose and we talk about testing.
When to reinvent the wheel / Building a query language in TypeScriptAshley Davis
Were you ever unsatisfied enough with an existing framework that you took the completely crazy step of rewriting it?
Well, that just happened to Ashley Davis. He's just finished rebuilding GraphQL in TypeScript.
We'll talk about "reinventing the wheel". Why is it considered bad? When is it a good time to reinvent things?
We'll look at how the new query language was developed and see a demo of it in action!
Slides for my talk at BrisJS on October 14, 2019.
This talk shows how to use multi-stage Docker builds to create optimised production images.
See the last slide for links to other resources.
Building desktop apps in java script with ElectronAshley Davis
My talk for the BrisJS meetup in May 2019 about Data-Forge Notebook, a cross-platform desktop application built with Electron.
Data-Forge Notebook is a notebook-style application for data transformation, visualization and analysis in JavaScript and TypeScript.
http://www.data-forge-notebook.com/
Testing trading strategies in JavaScriptAshley Davis
In this talk for the Brisbane JavaScript meetup Ashley shows how to backtest trading strategies in JavaScript.
We can simulate systematic trading strategies to under their performance and risk characteristics.
We can also do it to get a feel for the market and learn about trading.
It's a risk free way to learn the market and get a feel for trading before putting real money on the table.
A video for this talk is non online:
https://www.youtube.com/watch?v=ziRmuw3KTj8
To just see the live demo of backtesting in JavaScript please watch this video:
https://www.youtube.com/watch?v=3IoAV56Zbd4
Node.js has memory limitations that you can hit quite easily in production. You'll know this if you ever tried to load a large data file into your Node.js application.
But where exactly are the limits of memory in Node.js? In this short talk we'll push Node.js to it's limits and find out where those limits are. We'll also cover some practical techniques you can use to work around the memory limitations and get your data to fit into memory.
A talk by Ashley Davis for the Brisbane JavaScript meetup.
To see blog post and video relating to these slides please go to The Data Wrangler:
http://www.the-data-wrangler.com/nodejs-memory-limits/
Slides from my talk on data analysis to BrisJS the Brisbane JavaScript meetup.
You can find the code on GitHub: https://github.com/ashleydavis/brisjs-data-analysis-talk
Show drafts
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
7. Web scraping is a horrible idea
● The scripts are tightly linked to the HTML
● The scripts fragile and prone to breaking
● Identifying HTML elements to extract is messy work
● Legal gray area
● You could be blocked from the web site
8. Sometimes web scraping is all we have
● The data isn’t accessible any other way
● We still need the data
13. Production issues...
Performance
● Cache the Nightmare object / batch requests
● Disable image download
Debugging
● Show the Electron window
● Enable devtools
● Handle errors from Nightmare
● Display logging from the headless browser
14. Resources
● Code
○ github.com/ashleydavis/brisjs-web-scraping-talk
● Contact
○ Email: ashley@codecapers.com.au
○ Twitter: @ashleydavis75
○ GitHub:
■ ashleydavis
■ data-forge
● Data Wrangling with JavaScript
○ datawranglingwithjavascript.com
● The Data Wrangler
○ the-data-wrangler.com
My book