Googlier.com machine learning RSS Feed https://googlier.com/xml/machine learning Most recent machine learning related articles Sr. Director, Analyst - AI and Machine Learning What makes Gartner Research & Advisory a GREAT fit for you? When you join Gartner, you’ll be part of a leading-edge team that values expert insights, bold ideas and intellectual courage. You’ll deliver must-have research through compelling client interactions, and contribute to our double-digit growth by providing clients the unbiased insight and advice they need to make the right decisions every day. Through constant learning, discovery and collaboration, you’ll help clients deliver on their mission-critical priorities, grow your career and increase your industry impact. We value hard workers — and reward you with unlimited opportunity. If you’re looking to explore what’s next in technology and business, Gartner is looking for you. What makes Gartner Research a GREAT fit for you? You are a team player who values expert insights, bold ideas and intellectual courage. You are always learning and looking to discover what’s next in technology. You pursue personal excellence through team collaboration and consensus. If this describes you, Gartner is looking for you! Gartner is an upbeat culture based on collaboration, teamwork, integrity and objectivity that values creativity and innovation. As a Gartner analyst, you’ll not only help clients solve complex challenges and deliver on key initiatives, you’ll grow your career and the scope of your impact across industries. We work hard — and we reward success with exceptional opportunity. About this role: This role creates thought leading AI/ML research to our Gartner for Technical Professional clients through published research, conversations with client (Inquiry), stage presentations, teleconferences, and client meetings. It is important that you have a vision for how AI/ML will evolve worldwide and at a regional level. What you’ll do: As a Gartner analyst you will meet with clients every day: on the phone, in a video-conference, from the stage at a Gartner event or face-to-face during a sales support visit. In every client interaction analysts help clients solve difficult puzzles that lead to better performance. To support these conversations you will research markets, practices and trends and produce written research for Gartner clients to download and apply. Conduct research and analysis in specific areas of expertise targeting client’s key initiatives. Deliver high quality actionable advice through a variety of media. Write high quality, clear, actionable, advisory research documents. Remain ahead of the curve on developments and issues within these specified areas as well as applicable adjacent areas. Respond to client questions, create materials for and deliver to clients in person, via teleconference, video conference or webinar and event presentations Maintain the Gartner’s industry leadership reputation by responding to press inquiries Proactively work with the wider sales organization and deliver outstanding sales support in order to retain and grow the business What you’ll need: It helps to be obsessed with your topic! Gartner analysts are correctly viewed as THE experts. This means you need to know your markets, vendors, trends, management practices, etc. and be able to see the forest and the trees. Most Gartner analysts have many years of experience and enjoy solving puzzles. Minimum of 10 years of experience in a research or technology related role Bachelor's or equivalent experience, Master's degree preferred Subject matter expertise in AI/ML , with the ability to demonstrate understanding of the business applications and opportunities in that market. Knowledge of the global landscape, and the competitive interplay between incumbents, emerging providers, disruptors and outsourcers Experience in developing machine learning packages with modern programming languages e.g. Python, R, Scala, Java, MATLAB, C etc. Deep experience with AI/ML platforms Deep experience with data modeling and analytics solution stacks Solid grounding in statistics, probability theory, data modeling, machine learning algorithms and software development techniques and languages used to implement analytics solutions Foundation in theories underlying machine learning and artificial intelligence techniques Knowledge of a variety of machine learning techniques clustering, decision tree learning, artificial neural networks, etc. and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts regression, properties of distributions, statistical tests and proper usage, etc. and experience with applications. Demonstrated superior analytical skills, applying conceptual models, recognizing patterns while drawing and defending conclusions. Strong business and financial acumen as well as analytical skills are required for this position Articulate and succinct communication skills. Publishing and Speaking engagements an advantage Ability to conduct occasional travel, regionally and globally Job Requisition ID:30186What makes Gartner Research & Advisory a GREAT fit for you? When you join Gartner, you’ll be part of a leading-edge team that values expert insights, bold ideas and intellectual courage. You’ll deliver must-have research through compelling client interactions, and contribute to our double-digit growth by providing clients the unbiased insight and advice they need to make the right decisions every day. Through constant learning, discovery and collaboration, you’ll help clients deliver on their mission-critical priorities, grow your career and increase your industry impact. We value hard workers — and reward you with unlimited opportunity. If you’re looking to explore what’s next in technology and business, Gartner is looking for you. What makes Gartner Research a GREAT fit for you? You are a team player who values expert insights, bold ideas and intellectual courage. You are always learning and looking to discover what’s next in technology. You pursue personal excellence through team collaboration and consensus. If this describes you, Gartner is looking for you! Gartner is an upbeat culture based on collaboration, teamwork, integrity and objectivity that values creativity and innovation. As a Gartner analyst, you’ll not only help clients solve complex challenges and deliver on key initiatives, you’ll grow your career and the scope of your impact across industries. We work hard — and we reward success with exceptional opportunity. About this role: This role creates thought leading AI/ML research to our Gartner for Technical Professional clients through published research, conversations with client (Inquiry), stage presentations, teleconferences, and client meetings. It is important that you have a vision for how AI/ML will evolve worldwide and at a regional level. What you’ll do: As a Gartner analyst you will meet with clients every day: on the phone, in a video-conference, from the stage at a Gartner event or face-to-face during a sales support visit. In every client interaction analysts help clients solve difficult puzzles that lead to better performance. To support these conversations you will research markets, practices and trends and produce written research for Gartner clients to download and apply. Conduct research and analysis in specific areas of expertise targeting client’s key initiatives. Deliver high quality actionable advice through a variety of media. Write high quality, clear, actionable, advisory research documents. Remain ahead of the curve on developments and issues within these specified areas as well as applicable adjacent areas. Respond to client questions, create materials for and deliver to clients in person, via teleconference, video conference or webinar and event presentations Maintain the Gartner’s industry leadership reputation by responding to press inquiries Proactively work with the wider sales organization and deliver outstanding sales support in order to retain and grow the business What you’ll need: It helps to be obsessed with your topic! Gartner analysts are correctly viewed as THE experts. This means you need to know your markets, vendors, trends, management practices, etc. and be able to see the forest and the trees. Most Gartner analysts have many years of experience and enjoy solving puzzles. Minimum of 10 years of experience in a research or technology related role Bachelor's or equivalent experience, Master's degree preferred Subject matter expertise in AI/ML , with the ability to demonstrate understanding of the business applications and opportunities in that market. Knowledge of the global landscape, and the competitive interplay between incumbents, emerging providers, disruptors and outsourcers Experience in developing machine learning packages with modern programming languages e.g. Python, R, Scala, Java, MATLAB, C etc. Deep experience with AI/ML platforms Deep experience with data modeling and analytics solution stacks Solid grounding in statistics, probability theory, data modeling, machine learning algorithms and software development techniques and languages used to implement analytics solutions Foundation in theories underlying machine learning and artificial intelligence techniques Knowledge of a variety of machine learning techniques clustering, decision tree learning, artificial neural networks, etc. and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts regression, properties of distributions, statistical tests and proper usage, etc. and experience with applications. Demonstrated superior analytical skills, applying conceptual models, recognizing patterns while drawing and defending conclusions. Strong business and financial acumen as well as analytical skills are required for this position Articulate and succinct communication skills. Publishing and Speaking engagements an advantage Ability to conduct occasional travel, regionally and globally Job Requisition ID:30186 .toshow { display:none; position: center; background: #f00; width: 200px; } a:hover div.toshow { display:block; } http://www.reed.co.uk/jobs/sr-director-analyst-ai-and-machine-learning/37765721#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F2019-04-20%2F453581 Data Scientist Lead - Schneider - Green Bay, WI Experience with machine learning software (e.g., R, Python, SPSS, SAS), data access/manipulation (e.g., SQL, pandas, dplyr) and NoSQL databases (e.g., MongoDB,...From Schneider - Wed, 02 Jan 2019 23:36:22 GMT - View all Green Bay, WI jobsExperience with machine learning software (e.g., R, Python, SPSS, SAS), data access/manipulation (e.g., SQL, pandas, dplyr) and NoSQL databases (e.g., MongoDB,...From Schneider - Wed, 02 Jan 2019 23:36:22 GMT - View all Green Bay, WI jobs .toshow { display:none; position: center; background: #f00; width: 200px; } a:hover div.toshow { display:block; } http://www.indeed.com/viewjob?t=Data+Scientist+Lead&c=Schneider&l=Green+Bay,+WI&jk=7b311b60db3e5034&rtk=1d8ss3c07f0mq800&from=rss#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F2019-04-20%2F452079 Data Scientist Lead - Schneider National - Green Bay, WI Experience with machine learning software (e.g., R, Python, SPSS, SAS), data access/manipulation (e.g., SQL, pandas, dplyr) and NoSQL databases (e.g., MongoDB,...From Schneider National - Thu, 03 Jan 2019 06:22:26 GMT - View all Green Bay, WI jobsExperience with machine learning software (e.g., R, Python, SPSS, SAS), data access/manipulation (e.g., SQL, pandas, dplyr) and NoSQL databases (e.g., MongoDB,...From Schneider National - Thu, 03 Jan 2019 06:22:26 GMT - View all Green Bay, WI jobs .toshow { display:none; position: center; background: #f00; width: 200px; } a:hover div.toshow { display:block; } http://www.indeed.com/viewjob?t=Data+Scientist+Lead&c=Schneider+National&l=Green+Bay,+WI&jk=334f0af7887bcc57&rtk=1d8ss3c07f0mq800&from=rss#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F2019-04-20%2F452071 Senior Data Scientist - Lincoln Financial - Boston, MA Phoenix, AZ (Arizona). Solid knowledge and experiences on applying statistical and machine learning techniques on real business data....From Lincoln Financial Group - Thu, 11 Apr 2019 02:54:00 GMT - View all Boston, MA jobsPhoenix, AZ (Arizona). Solid knowledge and experiences on applying statistical and machine learning techniques on real business data....From Lincoln Financial Group - Thu, 11 Apr 2019 02:54:00 GMT - View all Boston, MA jobs .toshow { display:none; position: center; background: #f00; width: 200px; } a:hover div.toshow { display:block; } http://www.indeed.com/viewjob?t=Senior+Data+Scientist&c=Lincoln+Financial&l=Boston,+MA&jk=6e1e08a0d5c90c1e&rtk=1d8srroicf2l2800&from=rss#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F2019-04-20%2F449798 Explainable and Interpretable Models in Computer Vision and Machine Learning Название: Explainable and Interpretable Models in Computer Vision and Machine Learning Автор: Hugo Jair Escalante, Sergio EscaleraИздательство: SpringerСерия: The Springer Series on Challenges in Machine Learning ISBN: 3319981307 Год: 2018 Страниц: 299 Язык: английскийФормат: pdf (true) Размер: 10.1 MBThis book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision.Название: Explainable and Interpretable Models in Computer Vision and Machine Learning Автор: Hugo Jair Escalante, Sergio EscaleraИздательство: SpringerСерия: The Springer Series on Challenges in Machine Learning ISBN: 3319981307 Год: 2018 Страниц: 299 Язык: английскийФормат: pdf (true) Размер: 10.1 MBThis book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. .toshow { display:none; position: center; background: #f00; width: 200px; } a:hover div.toshow { display:block; } http://mirknig.su/knigi/programming/325491-explainable-and-interpretable-models-in-computer-vision-and-machine-learning.html#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F2019-04-20%2F449001 From Machine Learning To Deep Learning Название: From Machine Learning To Deep Learning Автор: Khaled BayoudhИздательство: Khaled Bayoudh Год: 2017Страниц: 166 Язык: английскийФормат: azw3, pdf (conv)Размер: 12.5 MBThere are a growing number of people who are seeking to understand the main concepts of Machine/Deep Learning and what powers them up. And if you are of these people, then this book is for you! This book discusses the Machine/Deep Learning algorithms, methods, concepts, functions and code that make Deep Neural Networks such as Convolutional Neural Networks work well. You are going to follow codes that are being used to create these algorithms. You are going to see how Deep Neural Networks make decisions using several layers and functions.Название: From Machine Learning To Deep Learning Автор: Khaled BayoudhИздательство: Khaled Bayoudh Год: 2017Страниц: 166 Язык: английскийФормат: azw3, pdf (conv)Размер: 12.5 MBThere are a growing number of people who are seeking to understand the main concepts of Machine/Deep Learning and what powers them up. And if you are of these people, then this book is for you! This book discusses the Machine/Deep Learning algorithms, methods, concepts, functions and code that make Deep Neural Networks such as Convolutional Neural Networks work well. You are going to follow codes that are being used to create these algorithms. You are going to see how Deep Neural Networks make decisions using several layers and functions. .toshow { display:none; position: center; background: #f00; width: 200px; } a:hover div.toshow { display:block; } http://mirknig.su/knigi/programming/324927-from-machine-learning-to-deep-learning.html#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F2019-04-20%2F448982 Data Scientist CA-Corona, Corona, California Skills : • Business analysis. • Business process modeling - enterprise to department level. • Ability to interpret Entity Relationship Diagrams. Text Mining Machine Learning Tableau Description : • Provide data architectural leadership in developing enterprise data/process models, and logical/physical database designs. • Provide data and database development, maintenance, and prCA-Corona, Corona, California Skills : • Business analysis. • Business process modeling - enterprise to department level. • Ability to interpret Entity Relationship Diagrams. Text Mining Machine Learning Tableau Description : • Provide data architectural leadership in developing enterprise data/process models, and logical/physical database designs. • Provide data and database development, maintenance, and pr .toshow { display:none; position: center; background: #f00; width: 200px; } a:hover div.toshow { display:block; } http://jobview.monster.com/Data-Scientist-Job-Corona-CA-US-206919041.aspx?WT.mc_n=RSS2005_jsr#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F2019-04-20%2F439767 Senior Data Scientist - Mischief - San Francisco, CA Familiarity with experimental design and A/B testing. We do this through intelligent design and machine learning applications that looks to tie together an...From Mischief - Mon, 21 Jan 2019 19:50:03 GMT - View all San Francisco, CA jobsFamiliarity with experimental design and A/B testing. We do this through intelligent design and machine learning applications that looks to tie together an...From Mischief - Mon, 21 Jan 2019 19:50:03 GMT - View all San Francisco, CA jobs .toshow { display:none; position: center; background: #f00; width: 200px; } a:hover div.toshow { display:block; } http://www.indeed.com/viewjob?t=Senior+Data+Scientist&c=Mischief&l=San+Francisco,+CA&jk=6ba3df9005a793fb&rtk=1d8sq6ha5bk23800&from=rss#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F2019-04-20%2F437573 Python Programming Leftovers Mozilla Announces Pyodide – Python in the Browser Mozilla announced a new project called Pyodide earlier this week. The aim of Pyodide is to bring Python’s scientific stack into the browser. The Pyodide project will give you a full, standard Python interpreter that runs in your browser and also give you access to the browsers Web APIs. Currently, Pyodide does not support threading or networking sockets. Python is also quite a bit slower to run in the browser, although it is usable for interactive exploration. The article mentions other projects, such as Brython and Skulpt. These projects are rewrites of Python’s interpreter in Javascript. Their disadvantage to Pyodide is that they cannot use Python extensions that were written in C, such as Numpy or Pandas. Pyodide overcomes this issue. Creating a GUI Application for NASA’s API with wxPython Growing up, I have always found the universe and space in general to be exciting. It is fun to dream about what worlds remain unexplored. I also enjoy seeing photos from other worlds or thinking about the vastness of space. What does this have to do with Python though? Well, the National Aeronautics and Space Administration (NASA) has a web API that allows you to search their image library. You can read all about it on their website. The NASA website recommends getting an Application Programming Interface (API) key. If you go to that website, the form that you will fill out is nice and short. Custom Home Automation System source release I am happy to announce the release of my generation 1 home automation system source code. I will be releasing Generation 2, the code which is currently in-use in the next couple of days to a week. If you would like to be informed of the Generation 2 code drop, please watch the BitBucket repo to be informed. First, a little bit of history. I originally started writing this code back in 2015 to run exclusively on my Raspberry Pi connected to an external speaker. It was controlled using HTTP URL endpoints, which can be hit using various NFC tags throughout my home. Eventually I bought a 7" touch-screen and an additional Raspberry Pi. This is when my automation system began to grow and mature more into what it is today. The first external display was placed in my bedroom, and ran PyCARS, another project I wrote for my home automation system. As a result, the original Raspberry Pi running the home automation system no longer needed an attached speaker, and instead a UDP broadcast packet was sent on my home network to notify any listening HUD(a PyCars device). Wing Tips: Using Anaconda with Wing Python IDE Anaconda's key advantage is its easy-to-use package management system. Anaconda comes with a large collection of third party packages that are not in an installation of Python from python.org. Many additional packages can be installed quickly and easily as needed, from the command line with conda install. Anaconda's marketing focuses on data science and machine learning applications, but its extensive packages library makes it a good option also for other types of desktop and web development. There is much ongoing work in the world of Python packaging but, at least for now, Anaconda seems to fail less often than other solutions for resolving dependencies and installing necessary packages automatically. Python's dynamic nature: sticking an attribute onto an object PyCharm at PyCon 2019: The Big Tent Last week we announced our “big tent” at PyCon 2019 with the blog post PyCharm Hosts Python Content Creators at Expanded PyCon Booth. Next week we’ll announce more on each individual piece. read more Mozilla Announces Pyodide – Python in the Browser Mozilla announced a new project called Pyodide earlier this week. The aim of Pyodide is to bring Python’s scientific stack into the browser. The Pyodide project will give you a full, standard Python interpreter that runs in your browser and also give you access to the browsers Web APIs. Currently, Pyodide does not support threading or networking sockets. Python is also quite a bit slower to run in the browser, although it is usable for interactive exploration. The article mentions other projects, such as Brython and Skulpt. These projects are rewrites of Python’s interpreter in Javascript. Their disadvantage to Pyodide is that they cannot use Python extensions that were written in C, such as Numpy or Pandas. Pyodide overcomes this issue. Creating a GUI Application for NASA’s API with wxPython Growing up, I have always found the universe and space in general to be exciting. It is fun to dream about what worlds remain unexplored. I also enjoy seeing photos from other worlds or thinking about the vastness of space. What does this have to do with Python though? Well, the National Aeronautics and Space Administration (NASA) has a web API that allows you to search their image library. You can read all about it on their website. The NASA website recommends getting an Application Programming Interface (API) key. If you go to that website, the form that you will fill out is nice and short. Custom Home Automation System source release I am happy to announce the release of my generation 1 home automation system source code. I will be releasing Generation 2, the code which is currently in-use in the next couple of days to a week. If you would like to be informed of the Generation 2 code drop, please watch the BitBucket repo to be informed. First, a little bit of history. I originally started writing this code back in 2015 to run exclusively on my Raspberry Pi connected to an external speaker. It was controlled using HTTP URL endpoints, which can be hit using various NFC tags throughout my home. Eventually I bought a 7" touch-screen and an additional Raspberry Pi. This is when my automation system began to grow and mature more into what it is today. The first external display was placed in my bedroom, and ran PyCARS, another project I wrote for my home automation system. As a result, the original Raspberry Pi running the home automation system no longer needed an attached speaker, and instead a UDP broadcast packet was sent on my home network to notify any listening HUD(a PyCars device). Wing Tips: Using Anaconda with Wing Python IDE Anaconda's key advantage is its easy-to-use package management system. Anaconda comes with a large collection of third party packages that are not in an installation of Python from python.org. Many additional packages can be installed quickly and easily as needed, from the command line with conda install. Anaconda's marketing focuses on data science and machine learning applications, but its extensive packages library makes it a good option also for other types of desktop and web development. There is much ongoing work in the world of Python packaging but, at least for now, Anaconda seems to fail less often than other solutions for resolving dependencies and installing necessary packages automatically. Python's dynamic nature: sticking an attribute onto an object PyCharm at PyCon 2019: The Big Tent Last week we announced our “big tent” at PyCon 2019 with the blog post PyCharm Hosts Python Content Creators at Expanded PyCon Booth. Next week we’ll announce more on each individual piece. read more .toshow { display:none; position: center; background: #f00; width: 200px; } a:hover div.toshow { display:block; } http://www.tuxmachines.org/node/123002#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F2019-04-20%2F435890 Admin/Programming: GStreamer, Django, OpenJDK and Ansible GStreamer 1.16.0 new major stable release The GStreamer team is excited to announce a new major feature release of your favourite cross-platform multimedia framework! The 1.16 release series adds new features on top of the previous 1.14 series and is part of the API and ABI-stable 1.x release series of the GStreamer multimedia framework. Why Django Is The Popular Python Framework Among Web Developers? Nowadays, a lot of backend web development programs are developed and run with Python. Python has been one of the most popular programming languages for web development and its agility and versatility are strong reasons for its growing success. From developing simple codes to data analytics and machine learning, Python has become the go-to language for many developers. There are a lot of frameworks that work with Python and these frameworks basically allow the developers to choose a platform on which they can customize their website and test it freely according to their preferences. Among all the frameworks of Python, Django seems to be the most popular option. In fact, in the Stack Overflow Survey of 2018, Django was included as one of the most loved frameworks with 58% of the developers voting for it. Not all OpenJDK 12 builds include Shenandoah: Here’s why A little history: Shenandoah, a high-performance low-pause-time garbage collector, is a Red Hat-led project. When we first proposed to contribute Shenandoah to OpenJDK, Oracle made it clear that they didn’t want to support it. That’s fair enough: OpenJDK is free software, so you don’t have to support anything you don’t want. We told Oracle that we’d work with them to design a really clean pluggable garbage-collector interface that allows anyone easily to select the garbage collectors to include in their builds. We did that together, and Shenandoah went in to JDK 12. Evidently Oracle has chosen not to build Shenandoah. They aren’t doing anything strictly wrong by excluding it, but something doesn’t feel right to me. These builds aren’t supported by Oracle—you need their commercial binaries to get support—so why exclude Shenandoah? It might simply be that they used their standard build scripts to build their open source binaries. However, in a rather feature-light OpenJDK release, I find it odd for open source builds to exclude one of the most significant contributions. I really appreciate Oracle providing GPL-licensed OpenJDK builds, but I wish they’d build all of it. Announcing OpenJDK 11 packages in Ubuntu 18.04 LTS OpenJDK 11 is now the default Java package in Ubuntu 18.04 LTS, replacing OpenJDK 10, the previously supported rapid release version and original package default for Ubuntu 18.04. This OpenJDK package is covered by the standard, LTS upstream security support and will also be the default package for the upcoming Ubuntu 19.04 release. Version 11 is the latest Long Term Support (LTS) version of the open-source implementation of the Java Platform, Standard Edition (Java SE). It incorporates key security improvements, including an update to the latest Transport Layer Security (TLS) version, TLS 1.3, and the implementation of ChaCha20-Poly1305 cryptographic algorithms, a new stream cipher that can replace the less secure RC4. Learn Ansible By Doing With These Courses And Hands-On Labs Infrastructure as code has changed the way that we plan, deploy, and maintain infrastructure. One of the technologies that made this transformation possible is Ansible. Ansible is a popular orchestration tool used by many individuals and small to large scale organizations, so knowing how to use it can provide a lot of opportunities. Even if you end up needing to learn other tools in the future such as Puppet, Chef, Salt, or Terraform (read: Ansible vs. Terraform), understanding Ansible and how it works will make it much easier to then learn how to use these other technologies. So don’t worry about the “which tool should I learn first?!” question. Just pick one, learn it, and you’ll be setup for the future. read more GStreamer 1.16.0 new major stable release The GStreamer team is excited to announce a new major feature release of your favourite cross-platform multimedia framework! The 1.16 release series adds new features on top of the previous 1.14 series and is part of the API and ABI-stable 1.x release series of the GStreamer multimedia framework. Why Django Is The Popular Python Framework Among Web Developers? Nowadays, a lot of backend web development programs are developed and run with Python. Python has been one of the most popular programming languages for web development and its agility and versatility are strong reasons for its growing success. From developing simple codes to data analytics and machine learning, Python has become the go-to language for many developers. There are a lot of frameworks that work with Python and these frameworks basically allow the developers to choose a platform on which they can customize their website and test it freely according to their preferences. Among all the frameworks of Python, Django seems to be the most popular option. In fact, in the Stack Overflow Survey of 2018, Django was included as one of the most loved frameworks with 58% of the developers voting for it. Not all OpenJDK 12 builds include Shenandoah: Here’s why A little history: Shenandoah, a high-performance low-pause-time garbage collector, is a Red Hat-led project. When we first proposed to contribute Shenandoah to OpenJDK, Oracle made it clear that they didn’t want to support it. That’s fair enough: OpenJDK is free software, so you don’t have to support anything you don’t want. We told Oracle that we’d work with them to design a really clean pluggable garbage-collector interface that allows anyone easily to select the garbage collectors to include in their builds. We did that together, and Shenandoah went in to JDK 12. Evidently Oracle has chosen not to build Shenandoah. They aren’t doing anything strictly wrong by excluding it, but something doesn’t feel right to me. These builds aren’t supported by Oracle—you need their commercial binaries to get support—so why exclude Shenandoah? It might simply be that they used their standard build scripts to build their open source binaries. However, in a rather feature-light OpenJDK release, I find it odd for open source builds to exclude one of the most significant contributions. I really appreciate Oracle providing GPL-licensed OpenJDK builds, but I wish they’d build all of it. Announcing OpenJDK 11 packages in Ubuntu 18.04 LTS OpenJDK 11 is now the default Java package in Ubuntu 18.04 LTS, replacing OpenJDK 10, the previously supported rapid release version and original package default for Ubuntu 18.04. This OpenJDK package is covered by the standard, LTS upstream security support and will also be the default package for the upcoming Ubuntu 19.04 release. Version 11 is the latest Long Term Support (LTS) version of the open-source implementation of the Java Platform, Standard Edition (Java SE). It incorporates key security improvements, including an update to the latest Transport Layer Security (TLS) version, TLS 1.3, and the implementation of ChaCha20-Poly1305 cryptographic algorithms, a new stream cipher that can replace the less secure RC4. Learn Ansible By Doing With These Courses And Hands-On Labs Infrastructure as code has changed the way that we plan, deploy, and maintain infrastructure. One of the technologies that made this transformation possible is Ansible. Ansible is a popular orchestration tool used by many individuals and small to large scale organizations, so knowing how to use it can provide a lot of opportunities. Even if you end up needing to learn other tools in the future such as Puppet, Chef, Salt, or Terraform (read: Ansible vs. Terraform), understanding Ansible and how it works will make it much easier to then learn how to use these other technologies. So don’t worry about the “which tool should I learn first?!” question. Just pick one, learn it, and you’ll be setup for the future. read more .toshow { display:none; position: center; background: #f00; width: 200px; } a:hover div.toshow { display:block; } http://www.tuxmachines.org/node/123009#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F2019-04-20%2F435872