[New post] Hubble Trouble

midiguru posted: " For some years now I've been poking at some basic questions. There might seem to be little connection between the theory of evolution and the twin disciplines of physics and cosmology, but I'm fascinated by both. The physiology of the brain, too, and may" Respond to this post by replying above this line New post on Jim Aikin's Oblong Blob Hubble Trouble by midiguru For some years now I've been poking at some basic questions. There might seem to be little connection between the theory of evolution and the twin disciplines of physics and cosmology, but I'm fascinated by both. The physiology of the brain, too, and maybe a side order of history and anthropology. What ties these fields together is that they all address questions like, "What's going on here?" "What is this world that we're living in?" "What's real?" Today I've been re-reading a book by Bjørn Ekeberg called Metaphysical Experiments. Truth be told, it's not a very good book, but it's a useful exploration of a basic question, which we might articulate as, "Why is modern cosmology such an absurd mess?" It would have been a better book if he had chopped out most of the long digressions into the history of philosophy, which quite aside from being only marginally related to his central thesis are so freighted with esoteric terminology as to be all but unreadable. To make matters worse, on page 150 he gets one of the basic points about cosmology wrong. He asserts that the too-fast rotation of spiral galaxies is what inspired the notion of dark energy -- but no, those observations lead to the hypothesis of dark matter, not dark energy. All that aside, his thesis is that modern physics and cosmology are, at root, a set of self-fulfilling prophecies -- a sort of math-bedazzled folk-tale. He makes a pretty good case for this. He points out, I think correctly, that physicists and cosmologists start with a theoretical framework that is entirely abstract, and then convince governments to spend billions on experiments such as the Large Hadron Collider, which are explicitly designed to find evidence that will support the existing theories. Evidence that doesn't support the theories is simply jettisoned. The data is massively cherry-picked. Physicists and cosmologists are wedded to what is essentially an article of faith, namely that the universe can ultimately be explained using a single set of mathematical principles, a set of equations that absolutely dictates the structure of the world that we observe. When the observations don't coincide with the theory, various fudge factors are introduced. By now we've reached a point where the whole structure is more than a bit jerry-rigged. The fudge factors are welded together using equations that are certainly far beyond my comprehension, yet the structure continues to creak and groan. The philosophical point, which Ekeberg nods at but doesn't dig into, is this: Why should the universe be constrained to operate in a mathematically consistent way? What exactly would force even a single proton to behave in the manner predicted by an equation? For that matter, why should the universe even be logical? The rules of logic were laid down by the ancient Greeks 2,500 years ago, and without the benefit of even a single scientific experiment. Logic works very nicely at the level of ordinary human affairs: Either the goat is up in the tree, or the goat isn't up in the tree. There's no logical way for the goat to be both up in the tree and not up in the tree. But a proton is not a goat, and neither is a galaxy. I wouldn't want this to be read as a dismissal of all scientific discoveries! I'm not indulging in crystal-gazing here. Molecular biology is a lovely thing; right now it's giving me some protection from a nasty virus, and I'm very grateful for that. The dynamics governing global warming are not a fantasy. But these fields of research are a whole lot closer to home than those sheets of red-shifted galaxies that Edwin Hubble's theory assures us are billions of light-years away and receding at a rapid clip. Ekeberg's thesis, which I'm inclined to agree with, is that the people who think they have a handle on what's going on in those galaxies -- they're the ones who are crystal-gazing. I'd like to know a lot more about this stuff. Without being forced to learn the math, I would hope. My own view is that dark matter is the new phlogiston. Phlogiston, for those of you who haven't been following the history of science, was a substance that was thought at one time to explain combustion. It was observed that after something burned, it was lighter than before. The theory was that this was because the phlogiston had flown off into the air. Eventually it was discovered that a few types of material actually got heavier when they burned, which raised the terrible possibility that some phlogiston had a negative weight. Eventually the whole theory was abandoned. But that's kind of what we have now with dark matter. It has never yet been observed to exist, and there's no theory about what it could possibly be. It's a wild guess that is inserted into cosmology in order to explain some observations while allowing the existing theory of gravitation to be kept intact. Eventually, I predict, dark matter will go the way of phlogiston. Unfortunately, I probably won't live long enough to be able to say, "I told you so." midiguru | September 12, 2021 at 9:59 pm | Categories: Uncategorized | URL: https://wp.me/pfVoi-3x6 Comment    See all comments    Like Unsubscribe to no longer receive posts from Jim Aikin's Oblong Blob. 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[New post] Thunderstone – Liquid of the Kings

puppialessio posted: " https://youtu.be/rQSmK_r2jw0 The sound of a screaming hound howling in my earsBlack visions from yesterday feeling all my fearsAnother vicious night behind, I can't recall a thingI've sunken down again into the liquid of the kings Trying to clear t" New post on Alessio Puppi's Blog Thunderstone – Liquid of the Kings by puppialessio The sound of a screaming hound howling in my earsBlack visions from yesterday feeling all my fearsAnother vicious night behind, I can't recall a thingI've sunken down again into the liquid of the kings Trying to clear things outTrying to get my life back on track again Breathing hard, it feels like my heart is […] Read more of this post puppialessio | September 13, 2021 at 8:58 am | Tags: Liquid Of The Kings, Thunderstone | Categories: Music | URL: https://wp.me/p3sqQU-3cj Comment    See all comments Unsubscribe to no longer receive posts from Alessio Puppi's Blog. Change your email settings at Manage Subscriptions. Trouble clicking? Copy and paste this URL into your browser: https://alessiopuppi.blog/2021/09/13/thunderstone-liquid-of-the-kings/

[New post] Azure AD JWT authentication in .NET isolated process Azure Functions

sudhakaryblog posted: " source: https://joonasw.net/view/azure-ad-jwt-authentication-in-net-isolated-process-azure-functions New .NET 5 Azure Functions have the option of running in an isolated process. As you can see from the roadmap, this model is planned to be the" Respond to this post by replying above this line New post on Sudhakar's blog Azure AD JWT authentication in .NET isolated process Azure Functions by sudhakaryblog source: https://joonasw.net/view/azure-ad-jwt-authentication-in-net-isolated-process-azure-functions New .NET 5 Azure Functions have the option of running in an isolated process. As you can see from the roadmap, this model is planned to be the default in .NET 7. The previous model of running through a class library has some downsides, such as conflicts with assembly versions. And while that is great, I'm really excited about being able to write middleware. Previously there wasn't a clean way of implementing cross-cutting concerns and you often end up with Functions where you just have to remember to call the AuthorizeUser method at the start each time. With middleware, we can implement things like authentication cleanly across all Functions. Read more .. This free site is ad-supported. Learn more ​ sudhakaryblog | September 13, 2021 at 12:28 pm | Categories: azure, Security, Serverless | URL: https://wp.me/p7KLVl-25x Comment    See all comments    Like Unsubscribe to no longer receive posts from Sudhakar's blog. Change your email settings at Manage Subscriptions. Trouble clicking? Copy and paste this URL into your browser: https://sudhakaryblog.wordpress.com/2021/09/13/azure-ad-jwt-authentication-in-net-isolated-process-azure-functions/ Thanks for flying with WordPress.com

[New post] R vs Python: Understanding the Difference

Imran Abdul Ghani posted: "In the world of programming, R vs Python are the most incredible fastest-growing active programming languages. Both offer incredible versatility, efficiency, reliability-unlike many programming languages. Performing countless functions such as, maintainin" New post on Take This Course R vs Python: Understanding the Difference by Imran Abdul Ghani In the world of programming, R vs Python are the most incredible fastest-growing active programming languages. Both offer incredible versatility, efficiency, reliability-unlike many programming languages. Performing countless functions such as, maintaining, assembling, measuring, and interpreting data and processing information; both lie at the heart of every application. But having said that they both are worth knowing yet do they provide the same level of service quality? Takethiscourse is here to provide you with the most up-to-date information on both software. According to Ziprecruiter.com python developers earn $150,000 annually while R developers earn $130,327 annually. Considering how important R and Python are, we have come with the most crucial information on both programming languages. Starting with defining both languages and their importance to understanding the differences between the two, we have a lot to cover. So, let's get right into it! What is R? What is Python? Importance of learning R & Python R vs Python: Understanding the difference Features - R vs Python Data science - R vs Python Data visualization - R vs Python Data exploration - R vs Python Data Modeling - R vs Python Final say What is R? R is a programming language and software environment for statistical analysis, graphics representation, and reporting. This R programming language was named R, based on the first letter of the first name of the two R authors (Robert Gentleman and Ross Ihaka)  and partly a play on the name of the Bell Labs Language S. It is supported by the R Core Team and the R Foundation for Statistical Computing. It is widely used among statisticians and data miners for developing statistical software and data analysis. It is a free implementation of the S programming language, which was created and distributed by Bell Labs. However, most code written in S will run successfully in the R environment. R performs a wide variety of basic to advanced statistical and graphical techniques at little to no cost to the user. What is Python? Python is an interpreted high-level general-purpose programming language. Its design philosophy emphasizes code readability with its use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects. Python supports modules and packages, which encourages program modularity and code reuse. Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it's relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances. You can also checkout Khan Academy Python Online Courses. Importance of learning R & Python Nowadays, IT companies do not hire people who can only work with one type of programming language. This is due to the fact that most businesses have a large number of large projects that necessitate the use of multiple types of programming languages in order to develop a program or software that meets the needs of the client. Both, Python vs R are easy to learn and use. Most of the research and development takes place in these two languages due to their many functions including the ease in analyzing and organizing usable data. The programming language software plays a big part in creating efficient program and online solutions such as mobile applications, web applications, games, and much more. R vs Python: Understanding the Difference We have discovered both software Python vs R could prove to be a success factor in strengthening any business. Having said that, Takethiscourse is here to discuss some real differences that will help you to be more decisive. Without further ado, let's dig in! Features - R vs Python Python Easy language. Python is an easy language The Python language is designed to make a developer's life easy. Interpreted language Dynamically-typed language Object-oriented Popular and large community support Open-source Large standard library extensible and embeddable GUI support R Open-source. R is an open-source software environment. ... Strong graphical capabilities. ... Highly active community. ... A wide selection of packages. ... Comprehensive environment. ... Can perform complex statistical calculations. ... Distributed computing. ... Running code without a compiler Interfacing with databases Data variety Data Science - R vs Python Python is a full-fledged programming language, which means you can use it to collect, store, analyze, and visualize data, as well as create and deploy Machine Learning pipelines in production or on websites. R, on the other hand, is primarily used for statistics and data analysis, with graphs that are more appealing and customizable than those in Python. R visualizes data using the Grammar of Graphics approach, which provides a great deal of intuitive customizability that Python lacks. Perhaps oversimplified, but it may be justified to say that if you want to be a Data Analyst R should be your preferred choice, while if you want to be a Data Science Python is the better option. It's the dilemma of generalization vs. specialization. Data Visualization - R vs Python R stands out for its data visualization abilities. It illustrates the results from statistical analyses by using plots, charts, and graphs. For more advanced plots, data scientists can also use ggplot2, one of the most popular R packages. It is possible to build almost any type of graph using this tool. Plus, ggplot2 allows users to change components within a plot with a high level of abstraction. Python is not as strong as R regarding data visualization. However, Python users can always rely on the Maplotlib library. This tool enables users to utilize interactive figures and create several types of plots (histograms, scatter plots, 3D plots, etc.). Data Exploration - R vs Python Pandas, a data analysis library for Python, can be used to explore data in Python. In a matter of seconds, you can filter, sort, and display data. R, on the other hand, is designed for the statistical analysis of large datasets and provides a variety of data exploration options. R allows you to create probability distributions, perform various statistical tests, and employ standard machine learning and data mining techniques. Data Modeling - R vs Python Data modeling is the process of creating models to determine how data will be stored in a database. On the one hand, Python provides a variety of data modeling solutions based on the specific purpose of each data. As an example: SciPy is a Python package for scientific computing. NumPy is used for numerical modeling. For machine learning algorithms, use SciKit-learn. To perform more specific modeling analyses, the R language may need to rely on external packages (e.g., Tidyverse). Nonetheless, Base-R - the fundamental software that includes the R language - covers the most important data modeling analyses. Final say A computer to repeats all the commands so that people do not have to perform the task repeatedly, similar is the case with using two massive programming languages. R and Python are two software that can do it for you automatically and precisely. Whether Python vs R - understand the difference between the two while choosing one for your project. Here, we'd like to suggest-choose wisely! Imran Abdul Ghani | September 13, 2021 at 6:56 am | Tags: BLog | Categories: Blog | URL: https://wp.me/p8YbFy-e1Q Comment    See all comments Unsubscribe to no longer receive posts from Take This Course. Change your email settings at Manage Subscriptions. Trouble clicking? Copy and paste this URL into your browser: https://www.takethiscourse.net/r-vs-python/