Tuesday, 27 April 2021

about python

 Python is simple to use, but it is a real programming language, offering much more structure and support for large programs than shell scripts or batch files can offer. On the other hand, Python also offers much more error checking than C, and, being a very-high-level language, it has high-level data types built in, such as flexible arrays and dictionaries. Because of its more general data types Python is applicable to a much larger problem domain than Awk or even Perl, yet many things are at least as easy in Python as in those languages.

Python allows you to split your program into modules that can be reused in other Python programs. It comes with a large collection of standard modules that you can use as the basis of your programs — or as examples to start learning to program in Python. Some of these modules provide things like file I/O, system calls, sockets, and even interfaces to graphical user interface toolkits like Tk.



Python is an interpreted language, which can save you considerable time during program development because no compilation and linking is necessary. The interpreter can be used interactively, which makes it easy to experiment with features of the language, to write throw-away programs, or to test functions during bottom-up program development. It is also a handy desk calculator.



Python enables programs to be written compactly and readably. Programs written in Python are typically much shorter than equivalent C, C++, or Java programs, for several reasons:



the high-level data types allow you to express complex operations in a single statement;



statement grouping is done by indentation instead of beginning and ending brackets;



no variable or argument declarations are necessary.



Python is extensible: if you know how to program in C it is easy to add a new built-in function or module to the interpreter, either to perform critical operations at maximum speed, or to link Python programs to libraries that may only be available in binary form (such as a vendor-specific graphics library). Once you are really hooked, you can link the Python interpreter into an application written in C and use it as an extension or command language for that application.


Monday, 26 April 2021

health cares

All opioid drugs from poppy-derived opium to heroin work on receptors that are naturally present in the brain and elsewhere in the body. One such receptor, the mu-opioid receptor, binds to natural pain-killers in the body called endogenous endorphins and enkephalins. Drugs acting on the mu-opioid receptor can cause addiction as well as unwanted side effects like drowsiness, problems with breathing, constipation and nausea. "Normally, when you are in pain, you are releasing endogenous opioids, but they're just not strong enough or long lasting enough," says Traynor. The team had long hypothesized that substances called positive allosteric modulators could be used to enhance the body's own endorphins and enkephalins. Oxycodone binds to so-called opioid receptors in the body. There are three different types: MOP, DOP and KOP. The painkillers available to date mainly activate the MOP (also called ?-opioid receptor). However, stimulating MOP can not only be addictive, it can also have life-threatening side effects. The most serious is respiratory paralysis, which is why the most common cause of death after heroin use is respiratory arrest. "Drugs that selectively bind to the DOP receptor probably do not have these dramatic side effects," hopes Prof. Dr. Christa Müller from the Pharmaceutical Institute at the University of Bonn. The emphasis is on "selective": The opioid receptors are so similar that many drugs activate all three forms. In order to find substances that only dock to the DOP receptor, it is therefore necessary to know exactly what happens during the binding process. Spatial structure made visible down to the atomic level The current study can now answer this question. "We have activated the DOP receptor with two different molecules, purified the complex and then elucidated its structure using X-rays," explains Tobias Claff, who carried out the majority of the experiments. For this purpose, the complex of receptor and active substance is transformed into a crystalline state. The crystal lattice deflects the X-ray light in a characteristic manner. The intensity distribution of the diffracted radiation can therefore be used to deduce the spatial structure of the complex, right down to the arrangement of each individual atom.

Tuesday, 20 April 2021

Cloud Computing Services

Cloud Computing Services? 


The growth of cloud computing has been exponential over the past few years, so what is it? Put simply, cloud computing is a remote virtual pool of on-demand shared resources offering to compute, storage, database and network services that can be rapidly deployed at scale. Now there may be a couple of terms within this definition that are new to you, or not too clear, such as virtual or computer. 


Well, these could be servers, networks, storage, computing power, and other infra related services commonly offered and referred to as IaaS (Infrastructure as service).


There are other cloud models as well, like PaaS (Platform as Service) and SaaS (Software as service) which is nothing but Cloud application and very popular for building online products and startups, but let’s focus on IaaS first to understand the benefits provided by Cloud.


Not long ago, in order to host a real-world E-commerce application, you need to buy servers, networks, storage and need to set them up to your requirements like installing the required software and operating system. Most of the companies have their own Data Center where these servers are kept, and there was a high cost involved to keep those data center running.


It was just initial time and cost for setting up the server, but also their utilization was poor; for example, secondary servers are often idle just wasting that precious CPU and memory power. The effect was more evident on big companies which own thousands of servers across multiple data center on the world.


Amazon was one such company, which quickly realize that by using virtualization, they can use the computing power of their infrastructure, and that gives birth to the cloud.


In the cloud, you can spin up a server, database, network very quickly with just some clicks and you will only be charged for whatever you use. So this solves the problem of setup, utilization, and scalability.



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