Introducing the complete Google Pangda Algorithm Change updates as compiled by the staff of Moz. Includes important & latest updates of Google Panda 4.2.
This document provides an overview of Angular 2, including the current state of Angular 1, why developers should migrate to Angular 2, performance improvements and simpler component-based architecture in Angular 2, increased productivity, and plans for Angular 2 support and releases. It discusses Angular 1 releases and developers, Angular 2 performance compared to Angular 1, a simpler component-based structure in Angular 2, and increased productivity.
Google updated their Penguin algorithm with version Penguin 3.0 late Friday night. The Penguin algorithm primarily looks at a site’s backlink profile and may demote a site that appears to have a poor backlink profile.
The Penguin 3.0 release was communicated very poorly by Google. With Google only confirming the update 24-hours after the update was release and not giving us the details they would typically give when we ask them.
The document discusses Angular 2, including the current state of Angular 1, why developers should migrate to Angular 2, and key differences and improvements in Angular 2 such as improved performance, simpler component-based architecture, increased productivity, and long term support. It also previews a demo of Angular 2 and invites questions from the audience.
Google Panda and Penguine: A quick SummaryRahul Kumar
1. The document discusses Google's Panda and Penguin algorithm updates. Panda was first introduced in 2011 and aims to lower the rankings of low-quality sites and thin content. Penguin was first introduced in 2012 and targets sites that violate Google's guidelines and use black-hat SEO techniques.
2. Both algorithms aim to surface higher-quality sites in search results. However, Panda can affect entire sites while Penguin usually affects individual pages. Google also provides different tools to help sites recover from each algorithm, such as a disavow links tool for Penguin.
Continuous Integration, Continuous Delivery, Continuous Monitoring!
These days CI and CD are commonly used mechanics to achieve fast turn-around times for high-demand applications. Microservices architectures and highly dynamic envrionments (based on Kubernetes, Docker, …), however, come with a whole different set of problems.
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Let's build a polyglot microservices infrastructure. A way to monitor and trace multi-service requests will be demonstrated using Instana’s automatic discovery system.
Capital One is a large digital bank that has undergone an agile and DevOps transformation journey from waterfall to continuous delivery. They focus on building their own software, using microservices and open source on public clouds. Topo Pal discusses Capital One's DevOps practices including automated pipelines with security and compliance controls to deliver high quality software faster through continuous integration and deployment. He highlights opportunities to improve their branching strategy and release processes and risks mitigation through DevOps practices.
Distimo is a company that provides app analytics and conversion tracking products to help solve challenges in the app market. Their products include free conversion tracking SDKs, app store data tracking across all major app stores and ad networks, and insights into revenues, downloads and top apps by region/category. They also provide ongoing reports, rankings and blog updates to help customers make smarter decisions about their mobile apps.
Patrick Duclos-Montagne presents his experience using Tuleap at Orange, an open source project management tool. He discusses how Tuleap is used across Orange for agile development, tracking issues and tasks, sharing documents and designs, and providing support to other projects. He emphasizes that Tuleap's trackers are particularly useful for managing work. Training, community support, and assistance from the Tuleap team help users be successful with the tool.
This document provides an overview of Angular 2, including the current state of Angular 1, why developers should migrate to Angular 2, performance improvements and simpler component-based architecture in Angular 2, increased productivity, and plans for Angular 2 support and releases. It discusses Angular 1 releases and developers, Angular 2 performance compared to Angular 1, a simpler component-based structure in Angular 2, and increased productivity.
Google updated their Penguin algorithm with version Penguin 3.0 late Friday night. The Penguin algorithm primarily looks at a site’s backlink profile and may demote a site that appears to have a poor backlink profile.
The Penguin 3.0 release was communicated very poorly by Google. With Google only confirming the update 24-hours after the update was release and not giving us the details they would typically give when we ask them.
The document discusses Angular 2, including the current state of Angular 1, why developers should migrate to Angular 2, and key differences and improvements in Angular 2 such as improved performance, simpler component-based architecture, increased productivity, and long term support. It also previews a demo of Angular 2 and invites questions from the audience.
Google Panda and Penguine: A quick SummaryRahul Kumar
1. The document discusses Google's Panda and Penguin algorithm updates. Panda was first introduced in 2011 and aims to lower the rankings of low-quality sites and thin content. Penguin was first introduced in 2012 and targets sites that violate Google's guidelines and use black-hat SEO techniques.
2. Both algorithms aim to surface higher-quality sites in search results. However, Panda can affect entire sites while Penguin usually affects individual pages. Google also provides different tools to help sites recover from each algorithm, such as a disavow links tool for Penguin.
Continuous Integration, Continuous Delivery, Continuous Monitoring!
These days CI and CD are commonly used mechanics to achieve fast turn-around times for high-demand applications. Microservices architectures and highly dynamic envrionments (based on Kubernetes, Docker, …), however, come with a whole different set of problems.
Systems, that not only appear and disappear dynamically (e.g. autoscaling), but most commonly tend to be written using multiple different programming languages, are hard to monitor from the point of view that matters: User Requests and User Experience. but the answer is simple; Continuous Monitoring (CM).
Let's build a polyglot microservices infrastructure. A way to monitor and trace multi-service requests will be demonstrated using Instana’s automatic discovery system.
Capital One is a large digital bank that has undergone an agile and DevOps transformation journey from waterfall to continuous delivery. They focus on building their own software, using microservices and open source on public clouds. Topo Pal discusses Capital One's DevOps practices including automated pipelines with security and compliance controls to deliver high quality software faster through continuous integration and deployment. He highlights opportunities to improve their branching strategy and release processes and risks mitigation through DevOps practices.
Distimo is a company that provides app analytics and conversion tracking products to help solve challenges in the app market. Their products include free conversion tracking SDKs, app store data tracking across all major app stores and ad networks, and insights into revenues, downloads and top apps by region/category. They also provide ongoing reports, rankings and blog updates to help customers make smarter decisions about their mobile apps.
Patrick Duclos-Montagne presents his experience using Tuleap at Orange, an open source project management tool. He discusses how Tuleap is used across Orange for agile development, tracking issues and tasks, sharing documents and designs, and providing support to other projects. He emphasizes that Tuleap's trackers are particularly useful for managing work. Training, community support, and assistance from the Tuleap team help users be successful with the tool.
The document lists 30 Panda updates released by Google between 2011 and 2015. It provides the dates and impact percentages for each update. Many updates were not announced by Google and their impacts were later confirmed. The largest updates affected 7.5-11.8% of queries in various languages and regions. The updates aimed to improve search quality by penalizing low-quality sites and rewarding original, high-quality content.
The document provides an overview of Google's Panda and Penguin algorithm updates. It discusses the goals of the Panda update to reduce rankings for low-quality sites and provide better rankings for high-quality sites. It also outlines some of the major Panda updates and their release dates. For Penguin, it notes the update aims to decrease rankings for sites violating Google's quality guidelines through tactics like keyword stuffing and irrelevant outbound links. The document concludes with recommendations on content quality, visitor engagement, and avoiding overt optimization in preparation for future algorithm changes.
History of google algorithm updates - From SEO perspectiveSemidot Infotech
This document provides a summary of major Google algorithm updates from 2011 to 2018, organized into 9 categories. It describes the purpose and impact of updates like Panda, Penguin, Hummingbird, and Mobile-Friendly which aimed to improve search quality, reduce spam, understand user intent, and optimize the mobile experience. Major updates were often rolled out gradually over weeks or months to monitor effects. The introduction of RankBrain in 2015 represented a significant development with the integration of machine learning into Google's algorithms.
Google made several major algorithm updates beginning in 2011 that changed the SEO landscape. The Panda update in February 2011 targeted thin and low-quality content, affecting up to 12% of search results. It rolled out over months. Panda updates continued periodically. Penguin launched in April 2012 and targeted sites participating in link schemes, shaking the SEO world again. Both updates emphasized that high-quality, unique content is important for search rankings. Sites learned they needed relevant content for users rather than thin content or link schemes. Google released several versions of Penguin over subsequent years to address spammy linking practices.
Essence Of Penguin Algorithm-Past and PresentUma_sri
Google implements search algorithms to identify and select genuine websites with good credibility and display prominently for a given search keyword. Among 200 parameters that are believed to affect the search rankings, penguin was designed to filter websites that are deemed to alter search results by spammy techniques.
Google panda is a change to Google's search results ranking algorithm that was first released in February 2011. We have listed the major algorithmic changes that have had the major impact on search.
Ross Monaghan of Zeon Solutions explains what algorithm changes Google has made in the past few years. Why they made them and how you can deal with it.
Algo's or Mammals? Panda & Penguin DefinedRoss Monaghan
The document discusses search engine optimization and algorithms. It provides definitions and timelines for Google's Panda and Penguin algorithms. Panda targets low-quality content while Penguin targets unnatural inbound links and over-optimization. The document advises checking for algorithm impacts and analyzing content quality rather than direct changes to hacking links or wasting time on non-impacted algorithms. It concludes by advising a focus on useful content and the user experience over direct search engine targeting.
Algo's or Mammals? Panda & Penguin Algorithm UpdateRoss Monaghan
Google's latest algorithm's known as Panda and Penguin have been given a lot of attention lately. Find out whether you have been effected and what you can do to get out of the mess.
Algo's or Mammals - Ross Monaghan of Zeon SolutionAdam Parikh
Ross Monaghan of Zeon Solutions explains what algorithm changes Google has made in the past few years. Why they made them and how you can deal with itl.
The document discusses Google's Penguin algorithm which aims to decrease the ranking of websites violating Google's guidelines by targeting spammy links and keyword stuffing. It provides details on 5 Penguin updates from 2012 to 2013, with the largest in May 2013 affecting 2.3% of English queries. The updates penalized websites using aggressive linking practices or low-quality content. To avoid penalties, the summary recommends following Google's guidelines, creating natural links and high-quality optimized content.
This slide share in provides detail about how to recover your website from google panda 4.0. If your website is penalize from google panda update it is very helpful not only in panda 4.0, It is helpful in all panda update.
- Google has released several algorithm updates since 2011, including Google Panda, Penguin, Pigeon, and Hummingbird, to prioritize high-quality websites and reduce spammy sites in search results.
- Major updates aimed to reward mobile-friendly sites and give priority to local businesses within a city's physical limits.
- Going forward, Google may integrate algorithm updates directly into its core algorithm, allowing for more frequent but smaller changes versus large announced updates. The focus will remain on providing users the highest quality search results.
Google algorithm updates from 2012-2017 March explained along with possible changes for future.
P.S: Originally Posted in Emarket Education
Author: Sidharth Jena
In 2014 google engineers changed their search engine algorithms lots of times. Here i am going to share how that algorithms affect on websites. Whats happened ebay?? on panda time.
The Battle Against Penguins and Pandas: Getting Back Ranking and Running Futu...Benj Arriola
The Battle Against Penguins and Pandas: Getting Back Ranking and Running Future Proof SEO Strategies
Online Marketing Summit (OMS) 2012 Presentation by Benj Arriola
Google- familiar search engine updated its version to successive level of up gradation to establish the best stability as well as adding some prominent enhancements.
Let’s have a look on the overall revision made on 2013
Only 15% of developers localize their apps to other language then English, while 70% of smartphone users does not speak English. The current app localization model is outdated. It's time to renew app localization technology, process and business model. As a result apps can be localized to any language for free.
Major Google Algorithm Updates From 2010 to 2015Eminenture
Dominant search engine ‘Google’ has been making updates in its services via Google Panda, Penguin, Pigeon, Knowledge Graph and Humming Bird for internet marketing experts. These updates improve processing of Google and prove handy tools for websites to go for easy solutions of web promotions.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
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Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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Similar to Introducing all google panda algorithms update
The document lists 30 Panda updates released by Google between 2011 and 2015. It provides the dates and impact percentages for each update. Many updates were not announced by Google and their impacts were later confirmed. The largest updates affected 7.5-11.8% of queries in various languages and regions. The updates aimed to improve search quality by penalizing low-quality sites and rewarding original, high-quality content.
The document provides an overview of Google's Panda and Penguin algorithm updates. It discusses the goals of the Panda update to reduce rankings for low-quality sites and provide better rankings for high-quality sites. It also outlines some of the major Panda updates and their release dates. For Penguin, it notes the update aims to decrease rankings for sites violating Google's quality guidelines through tactics like keyword stuffing and irrelevant outbound links. The document concludes with recommendations on content quality, visitor engagement, and avoiding overt optimization in preparation for future algorithm changes.
History of google algorithm updates - From SEO perspectiveSemidot Infotech
This document provides a summary of major Google algorithm updates from 2011 to 2018, organized into 9 categories. It describes the purpose and impact of updates like Panda, Penguin, Hummingbird, and Mobile-Friendly which aimed to improve search quality, reduce spam, understand user intent, and optimize the mobile experience. Major updates were often rolled out gradually over weeks or months to monitor effects. The introduction of RankBrain in 2015 represented a significant development with the integration of machine learning into Google's algorithms.
Google made several major algorithm updates beginning in 2011 that changed the SEO landscape. The Panda update in February 2011 targeted thin and low-quality content, affecting up to 12% of search results. It rolled out over months. Panda updates continued periodically. Penguin launched in April 2012 and targeted sites participating in link schemes, shaking the SEO world again. Both updates emphasized that high-quality, unique content is important for search rankings. Sites learned they needed relevant content for users rather than thin content or link schemes. Google released several versions of Penguin over subsequent years to address spammy linking practices.
Essence Of Penguin Algorithm-Past and PresentUma_sri
Google implements search algorithms to identify and select genuine websites with good credibility and display prominently for a given search keyword. Among 200 parameters that are believed to affect the search rankings, penguin was designed to filter websites that are deemed to alter search results by spammy techniques.
Google panda is a change to Google's search results ranking algorithm that was first released in February 2011. We have listed the major algorithmic changes that have had the major impact on search.
Ross Monaghan of Zeon Solutions explains what algorithm changes Google has made in the past few years. Why they made them and how you can deal with it.
Algo's or Mammals? Panda & Penguin DefinedRoss Monaghan
The document discusses search engine optimization and algorithms. It provides definitions and timelines for Google's Panda and Penguin algorithms. Panda targets low-quality content while Penguin targets unnatural inbound links and over-optimization. The document advises checking for algorithm impacts and analyzing content quality rather than direct changes to hacking links or wasting time on non-impacted algorithms. It concludes by advising a focus on useful content and the user experience over direct search engine targeting.
Algo's or Mammals? Panda & Penguin Algorithm UpdateRoss Monaghan
Google's latest algorithm's known as Panda and Penguin have been given a lot of attention lately. Find out whether you have been effected and what you can do to get out of the mess.
Algo's or Mammals - Ross Monaghan of Zeon SolutionAdam Parikh
Ross Monaghan of Zeon Solutions explains what algorithm changes Google has made in the past few years. Why they made them and how you can deal with itl.
The document discusses Google's Penguin algorithm which aims to decrease the ranking of websites violating Google's guidelines by targeting spammy links and keyword stuffing. It provides details on 5 Penguin updates from 2012 to 2013, with the largest in May 2013 affecting 2.3% of English queries. The updates penalized websites using aggressive linking practices or low-quality content. To avoid penalties, the summary recommends following Google's guidelines, creating natural links and high-quality optimized content.
This slide share in provides detail about how to recover your website from google panda 4.0. If your website is penalize from google panda update it is very helpful not only in panda 4.0, It is helpful in all panda update.
- Google has released several algorithm updates since 2011, including Google Panda, Penguin, Pigeon, and Hummingbird, to prioritize high-quality websites and reduce spammy sites in search results.
- Major updates aimed to reward mobile-friendly sites and give priority to local businesses within a city's physical limits.
- Going forward, Google may integrate algorithm updates directly into its core algorithm, allowing for more frequent but smaller changes versus large announced updates. The focus will remain on providing users the highest quality search results.
Google algorithm updates from 2012-2017 March explained along with possible changes for future.
P.S: Originally Posted in Emarket Education
Author: Sidharth Jena
In 2014 google engineers changed their search engine algorithms lots of times. Here i am going to share how that algorithms affect on websites. Whats happened ebay?? on panda time.
The Battle Against Penguins and Pandas: Getting Back Ranking and Running Futu...Benj Arriola
The Battle Against Penguins and Pandas: Getting Back Ranking and Running Future Proof SEO Strategies
Online Marketing Summit (OMS) 2012 Presentation by Benj Arriola
Google- familiar search engine updated its version to successive level of up gradation to establish the best stability as well as adding some prominent enhancements.
Let’s have a look on the overall revision made on 2013
Only 15% of developers localize their apps to other language then English, while 70% of smartphone users does not speak English. The current app localization model is outdated. It's time to renew app localization technology, process and business model. As a result apps can be localized to any language for free.
Major Google Algorithm Updates From 2010 to 2015Eminenture
Dominant search engine ‘Google’ has been making updates in its services via Google Panda, Penguin, Pigeon, Knowledge Graph and Humming Bird for internet marketing experts. These updates improve processing of Google and prove handy tools for websites to go for easy solutions of web promotions.
Similar to Introducing all google panda algorithms update (20)
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What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
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Introducing all google panda algorithms update
1. Introducing all google
panda algorithms update
Many of you may not have noticed because this roll out is happening incredibly slowly.
Google says the update can take months to fully roll out because it will slowly impact your
site. The Panda algorithm is still a site-wide algorithm, but some of your web pages might
not see a change immediately.
The last time we had an official Panda refresh was almost 10 months ago: Panda
4.1happened on September 25, 2014. That was the 28th update, but I would coin this the
29th or 30th update, since we saw small fluctuations in October 2014.
As far as I know, very few webmasters noticed a Google update this weekend. That is how it
should be since this Panda refresh is rolling out very slowly.
Google said this impacted about 2-3% of English language queries.
New Chance For Some; New Penalty For Others
2. The rollout means anyone who was penalized by Panda in the last update has a chance to
emerge if they made the right changes. So if you were hit by Panda, you unfortunately won’t
notice the full impact immediately but you should see changes in your organic rankings
gradually over time.
This is not how many of the past Panda updates rolled out, where typically you’d see a
significant increase or decline in your Google traffic more quickly.
For the record, here’s the list of confirmed Panda Updates Richmind Softlabs, with some of
the major changes called out with their AKA (also known as) names:
1.Panda Update 1, Richmind Softlabs | AKA Panda 1.0, Feb. 24, 2011 (11.8% of
queries; announced; English in US only)
2.Panda Update 2, Richmind Softlabs | AKA Panda 2.0, April 11, 2011 (2% of queries;
announced; rolled out in English internationally)
3.Panda Update 3, Richmind Softlabs | May 10, 2011 (no change given; confirmed, not
announced)
4.Panda Update 4, Richmind Softlabs | June 16, 2011 (no change given; confirmed, not
announced)
5.Panda Update 5, Richmind Softlabs | July 23, 2011 (no change given; confirmed, not
announced)
6.Panda Update 6, Richmind Softlabs | Aug. 12, 2011 (6-9% of queries in many non-
English languages; announced)
7.Panda Update 7, Richmind Softlabs | Sept. 28, 2011 (no change given; confirmed, not
announced)
8.Panda Update 8 , Richmind Softlabs | AKA Panda 3.0, Oct. 19, 2011 (about 2% of
queries; belatedly confirmed)
9.Panda Update 9, Richmind Softlabs | Nov. 18, 2011: (less than 1% of queries;
announced)
10.Panda Update 10, Richmind Softlabs | Jan. 18, 2012 (no change given; confirmed,
not announced)
3. 11.Panda Update 11, Richmind Softlabs | Feb. 27, 2012 (no change given;
announced)
12.Panda Update 12, Richmind Softlabs | March 23, 2012 (about 1.6% of queries
impacted; announced)
13.Panda Update 13, Richmind Softlabs | April 19, 2012 (no change given; belatedly
revealed)
14.Panda Update 14, Richmind Softlabs | April 27, 2012: (no change given; confirmed;
first update within days of another)
15.Panda Update 15, Richmind Softlabs | June 9, 2012: (1% of queries; belatedly
announced)
16.Panda Update 16, Richmind Softlabs | June 25, 2012: (about 1% of queries;
announced)
17.Panda Update 17, Richmind Softlabs | July 24, 2012:(about 1% of queries;
announced)
18.Panda Update 18, Richmind Softlabs | Aug. 20, 2012: (about 1% of queries;
belatedly announced)
19.Panda Update 19, Richmind Softlabs | Sept. 18, 2012: (less than 0.7% of queries;
announced)
20.Panda Update 20 , Richmind Softlabs | Sept. 27, 2012 (2.4% English queries,
impacted, belatedly announced
21.Panda Update 21, Richmind Softlabs | Nov. 5, 2012 (1.1% of English-language
queries in US; 0.4% worldwide; confirmed, not announced)
22.Panda Update 22, Richmind Softlabs | Nov. 21, 2012 (0.8% of English queries were
affected; confirmed, not announced)
23.Panda Update 23, Richmind Softlabs | Dec. 21, 2012 (1.3% of English queries were
affected; confirmed, announced)
24.Panda Update 24, Richmind Softlabs | Jan. 22, 2013 (1.2% of English queries were
affected; confirmed, announced)
25.Panda Update 25, Richmind Softlabs | March 15, 2013 (confirmed as coming; not
4. confirmed as having happened)
26.Panda Update 26, Richmind Softlabs | July 18, 2013 (confirmed, announced)
27.Panda Update 27 , Richmind Softlabs | AKA Panda 4.0, May 20, 2014 (7.5% of
English queries were affected; confirmed, announced)
28.Panda Update 28 , Richmind Softlabs | AKA Panda 4.1, Sept. 25, 2014 (3-5% of
queries were affected; confirmed, announced)
29.Panda Update 30 , Richmind Softlabs | AKA Panda 4.2, July 18, 2015 (2-3% of
queries were affected; confirmed, announced)
30.Contact : 188-189 Shri Ji Nagar, Behind Hotel Royal Orchid, Durgapura,
Tonk Road, Jaipur-302018, Rajasthan (IN) http://www.richmindsoftlabs.com/
7597-496-960, 0141-2553-674
31.Click to know more about US Richmind Softlabs | Website designing company in Jaipur. | Web
designing company in jaipur | Seo company in jaipur | Software Development in jaipur | Seo
company in Delhi | Seo company in Mumbai
Thank you Richmind Softlabs