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Golang Packages

Shiwani Sharma — Wed, 10 Apr 2024 02:34:34 +0000

Introduction To Golang Libraries

Go language was developed in 2007 but launched in 2009 at Google by Ken Thompson, Rob Pike and Robert Griesemer. They have generated this as an open source programming language. Among all the developers Golang is one of the most trending languages. Here on Golang, we can find the garbage collection, accepted library and the standard typing proficiency. This language is termed as Golang due to its domain name golang.org. Golang is preferred for system programming and it is also termed as packages. Go language is called Golang because it also collect some reusable code components in the programming language that is GO. In Go language, package plays an important role in structuring and organizing code. It also develop readability, code reusability and maintainability.

If you want to use Go programs without installing it, you can go through some online IDE’s like repl.it, The Go playground etc.

10 Best Golang Libraries

Gorm

It is one of the important and famous libraries for Golang which contains all the valuable features. It is a very simple tool to use and it transforms data between distinct species of procedures. Gorm transmits on this objective with its SQL Builders, extensible plugins for customization, RAW SQL, auto migration tools .Some of the important characteristics of Gorm are logger, transactions, SQL Builder, Preloading, Composite Primary key. Gorm is the best ORM (Object-Relational Mapping) libraries for the language Go. It also support numerous databases such as SQLite, SQL Server, MySQL etc. that permit the developers.

Goose

Goose is utilized in Golang and it is best for the DB tool that is Database Migrations. By giving the command ( goose create new_column SQL) you can formulate a new SQL migration. When on the requirement the Goose package executes data migration and schema changes. By utilizing migration files on conforming to a particular schema and the Goose processes by versioning your schema. One of the main purpose of Goose is to concentrate on handling and applying all the techniques of database that shifted over several environments. It also permit you to track the database schema by making many migration files. It support many database such as SQLite, MySQL, CockroachDB and many more.

Clip

For the Go language, it is a very easy and quick package that formulates a command-line application. The command-line application is extremely tiny but under this package, a user or the developers can easily and rapidly formulate their command-line application. One of the main points to create CLI is working on that code for an API is easy and fun and it’s easy to create bash-completion routines, flags and it is also important to generate help text.

Vegeta

This tool is very important and is utilized for HTTP load testing. This tool is formulated with a constant request rate for testing HTTP services. It focuses and vegetable libraries work to impress the overall performance as well it works on examination of the vulnerable portions of the program. Some other features that are very profitable for Vegeta are its versatility and it has load testing abilities.

Authboss

It’s a modular web authentication system that is very useful and for the Go language, it’s an important library that saves time with authorization modules and popular authentication evacuated for the visibility of developers. Authboss is also utilizing for curing the bugs and it is very simple to incorporate without any web framework. Some important features of Authboss are Bug fixing, it saves time and incorporates with and without web frameworks.

Go Kit

Golang related Microservice has an extremely famous and standard library that backs microservices. System observability, infrastructure, integration, RPC safety and program design are some of the functions that Go kit places the hand between these mentioned processes and it also contributes the direction for creating a distributed network with all the answers to the problematic questions. A user and a developer can work here easily and simply solve the problems and fit in their circumstance.

Gingko

For the Golang project, it is easy to write a test with Gingko. A non-technical person can also read this package because it is written in a simple language form. For using this tool that is Gingko you required a new testing environment and if you want to install this then you have to operate a command that is ( go get github.com/onsi/ginkgo/ginkgo)

NSQ

It is utilized for creating a block for an extremely big scale allocated network. It’s a protocol named TCP which is helpful for the client because it supports the libraries of the client in several languages and it is not necessary to publish the library of the client in the HTTP interface for stats. Some important features of NSQ are its transport layer security (TLS), it is data format-agnostic, and it has no brokers that are horizontally scalable. In another word you can say this is a real-time distributed messaging platform.

Now

This is very easy and it delivers with a period a comfort wrapper and it alleviates the work with several times as well the date that is constructed with the current time.

mgo

For the Golang language, it’s a library that is simple to use and provides outstanding performance. It has a GridFS support and that is completely tested with authentication benefits and the pooling integration. One of main features is it is very fast and busily conserved.

Conclusion: Here in this article we mention the understanding about Golang and it’s different libraries. This language is termed as Golang due to its domain name golang.org. Golang is preferred for system programming. Selecting the right libraries is depends on the particular requirements of your project, as like handling timeouts, non-standard date formats, or operating time objects with having no difficulty. These libraries provides several techniques and function to well organized the development process in required simple time operations or difficult date calculations.

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10 ultimate Python Packages for professionals in 2024

Shiwani Sharma — Tue, 09 Apr 2024 03:23:52 +0000

Firstly, to understand Python packages, it is important to have a comprehensive understanding of the Python language itself. Therefore, let’s delve into this beneficial language in detail.

Define Python

Python can be used effectively to create any kind of program that does not need direct access to the computer hardware. It is a general-purpose programming language based on the ABC language. It is high-level programming with an open-source that was formulated in 1991 by Guido van Rossum. This language is presented by (PSF) Python Software Foundation).

Google App Engine, Maya, YouTube, Google search, iRobot machines etc. are the application and companies that assigned Python at the time of Python development. In the comparison of other languages like C, C++ this program gets slower although its development time is quick.

Features of Python

Image Credit: https://www.shiksha.com/online-courses/articles/top-10-features-of-python/

Some of the benefit you can find in the above image and some we have discussed below:

It has a pre-compiled code and it is comprehended, incorporated and directly executed language that means before executing your program or system you don’t have to assemble it.
As in comparison with other programing language like Java, C, C++ etc. it is easy and simple.
It has a huge standard Library and having an open source nature.
This program is object-oriented that is easy to learn with less amount of keyword as simple as the other language learning English .
It has garbage collection and support Graphical User interface (GUI)

Benefits of Python

Huge Libraries: In Python languages, it is not necessary to write code on a manual basis because it has a substantial library that includes code for several objectives like database, email, image manipulation, CGI, unit testing etc.
Reasonable Productivity Quality: As compared with other languages like Java, C + + has a higher productivity. By this logic, you will do more things with less writing.
Easy and Readability: Even for the non-programmer, this python program is easy to read and understand. As with other programs like java you have to create a class ‘Hello World’ but in python, you only need a print statement.
Easy to learn with low time: Python language is easy and has smaller code, so it’s easy to understand, learn this program in a short time.
Object-Oriented: Python is an object-oriented programming language. Its function supports its code, object and classes and this class permits its function into one.
Migratory: In python programming, you can run it anywhere and you need to process the code only once. This is also known as WORA ( WRITE ONCE RUN ANYWHERE)

Top 10 Python Package Every Developer Should Learn

1. Pillow

A modern version of PIL (Python Image Library) is Pillow. Pillow is a company where you can trust blindly and it deals with any type of images format and images and is founded on the PIL code structure. It also provides backing from the society who solves the problems, works on the queries and they are interested to give the challenges as well the answer.

Some characteristics of pillow are as follow:

* Web, PDF, PNG, GIF, ICO, EPS, IM, EPS, PCX, JPEG, Web are the various files that are supported by Pillow.

* Some of the image filters are also endorsed by Pillow such as SMOOTH, CONTOUR, BLUR, SHARPEN, DETAIL etc.

2. Numpy

One of the famous arrays is Numpy but it’s not only procuring arrays as well as providing the tool to operate arrays, it is reasonable and quick for controlling arrays and matrices. One of the strongest Python library that is utilized for numerical computations for organizing matrices and arrays. It is utilized in data analysis, machine learning, scientific computing and utilized in another field and you can use it easily.

Some characteristics of Numpy are as follow:

* Numpy is effortlessly incorporated with some of the programming languages like C, C++ etc.

* On changing the N-dimensional arrays, Numpy formulated the latest and deleted the old arrays.

3. MoviePy

It is like Pillow but deals in videos as pillow deals in images. It is not a calculated tool for higher data manipulation. One of the disadvantages that are important to mention here is it does not have both images as well as video function, it only deals in videos, if someone checks a video editing app then they find image editing as well with the features of video editing but this tool only provides you with full features of video editing. This Python package is utilized for manipulating , video editing and for creating videos. MoviePy is in top from other Python package such as decorator, imageio, Numpy etc.

4. Requests

It is published under Apache 2.0 license and has a huge and good HTTP library that has many characteristics and permits you to handle SSL, seed parameters towards URLs, certificate verifications and custom headers. One of the important and main features is you can download multiple files at a time and it has some other characteristics with Unicode response bodies, protection over cord, cookies, connection pooling etc.

5. Keras

This is written in Python with an open-source deep neural network library. It has a modular structure with a huge and important Python library. It provides you with many tools and with those tools, you can easily text and can work with several images. It can operate on many platforms such as TensorFlow, PaidML, Microsoft Cognitive Toolkit.

6. Scipy

It’s an open-source python library free of cost which is acceptable for machine learning. It is providing their customers with a better service and unraveling their problems and trying to give their all question answers. One of the other and important features of Scipy is also providing the image. The best way to use Scipy is from direct sources or from outside sources.

7. PyTorch

An open-source python machine learning library is formulated by Facebook A. I research the group and it is utilized for some applications which have the features of multi-variational such as computer vision. With some of the other libraries, you can find the uses of PyTorch here like Numba and Cython. This is beneficial for both the languages C++ and Python and it also permits the communion of P2P that means Peer to Peer.

8. Pandas

This is written in a Python language and here simply you can use any type of data like time series and structure. Many of the formats were assisted by Pandas such as Excel, CSV, HDF5, JSON as much more. It also delivers several DataFrames and Series, as well it supposes you to analyze, establish, represent etc.

9. Scrapy

This is a framework that is open-source and written in a Python programming language. You can find this free at no cost and this is used in many big organizations for web scraping and as well it contributes a direction to extract data by utilizing APIs, automated testing, monitoring, web crawler. It is also one of the most famous Python Libraries.

10.Pendulum

It is formulated to take place by doing the replacement of datetime. Firstly understand the concept of datetime .Datetime consists of dates and times and it does all of its work by taking the priorities of time. Pendulum works as similar as datetime or you can say it is based on datetime, here you can use it with the code.

Conclusion:

While there are many Python packages, we’ve highlighted the top 10 trending ones. Each has unique features that are effective and necessary for Python development. Python, as discussed at the beginning of the blog, is a versatile language suitable for various applications. These packages, such as Pillow and Keras, play crucial roles in enhancing Python’s capabilities.

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A Beginner’s Guide: Understanding Serverless in 7mins in 2024

Shiwani Sharma — Thu, 05 Oct 2023 17:07:23 +0000

What is Serverless?

Serverless is a cloud-native development model that is also termed as FaaS (Function as a Service) . Serverless computing permits developers to operate the code and there is no need to handle traditional server infrastructure. In other words developers have to run the application and functions without having to spin up and operate a server. There are some famous serverless platforms that consist of Google Cloud Functions in Google Cloud Platform, IBM cloud function in IBM cloud, AWS Lambda in Amazon Web Services.

Serverless Adoption

As per the latest report by Datadog 2023, named’ State of Serverless 2023‘, an annual analysis tracking the adoption of serverless technologies in cloud workloads. The major cloud providers are witnessing substantial growth in serverless usage, especially for container-based solutions.

According to Datadog, a majority of organizations running workloads on AWS or Google Cloud now have at least one Serverless deployment in place, with MS-Azure following closely at 49 percent. Similarly, the latest CNCF Annual Survey reported growth of serverless architecture/FaaS to 53% of respondents.

IMAGE CREDITS: https://www.infoq.com/news/2023/09/state-serverless-report/

Image Credit: https://www.spiceworks.com/tech/devops/articles/what-is-serverless/#lg=1&slide=0

To understand the concept of serverless, let’s first clarify the term “Server.”

Server: A computer designed to work all day (24 hours) to provide services to other people on the networks. If you are using the internet, then you are communicating with so many servers, such as web servers that work to send your web pages, mail servers that work to send emails for communication purposes, file servers that work to send your files, etc. So, the server is designed to work quickly and have excess data with high-capacity internet speed.

However, servers are not flexible, which means if you manage your website with your own server, handling daily traffic becomes difficult for the server to manage on time, and this is known as over-provisioning. With servers, you can focus less on developing your website. To solve this type of problem, cloud-based Serverless Products were formulated.

In simple language, Serverless product means “NO server, no worries.” You can only concentrate on your application. By using serverless, you can capture numerous files without have to worry about hard drives or thinking of where to store these files or data. Many companies already had used Serverless in production and these companies are AOL, Netflix & Reuters etc. Serverless is best for applications with variable workloads, where resorces are only required occasionally or in response to some specific event.

Types of Serverless

Basically there are two types of Serverless, one is FaaS (Function As A Service) and the second one is BaaS (Backend As A Service).

Function as a Service (FaaS): In this type of serverless model, developers have to write some individuals functions that bring out specific tasks. Some famous FaaS platform that consists Google Cloud Functions, AWS Lambda, IBM Cloud functions and Azure functions.

Backend as a Service (BaaS): This serverless model provides backend services for web application, mobile and these backend services are pre-built. It also consists some characteristics like storage, push notifications, authentications & databases. Some of the example of BaaS provides that includes Backendless, Firebase & AWSAmplify.

Pros & Cons Of Serverless

Advantages of Serverless

IMAGE CREDIT: https://www.angleritech.com/5-benefits-serverless-architecture-business-transformation/

Here are some reasons why you can use Serverless or the benefits, as follows:

Money Saving: Serverless follows the model of pay-as-you-use, meaning while performing on the application, you only have to pay for the resources you are using. With serverless, it is not necessary to invest or to manage virtual machines or physical servers and this will helps to remove infrastructure costs, also decreases the initial capital expenditure that will help to save money.
Scalability: In terms of incoming requests, this platform automatically scales your application. When there is an increase in the number of users, the cloud provider immediately distributes a lot of resources to operate the workload. Some serverless platforms like Azure functions, Google Cloud functions & AWS Lambda automatically handle the scaling of your application.
Faster Work: It permits the developer to update the application much quicker. Here, the developer only has to concentrate on writing the code and creating new characteristics that will help lead to faster work coming to the market for more products and services. The platform of serverless automatically regulate the scaling of resources that depends on the latest workload. Without the help of any manual intervention the auto scaling of serverless assure that your application can handle increasing demand that provides the faster response time.
Decreases Administration Responsibility: Many tasks like security patches, software updates become the duty of the cloud provider, freeing developers from administrative tasks.
Decreases Operational Aloft: There is no need for the developer to worry about scaling, monitoring, server provisioning, and configuration because the cloud provider handles the underlying infrastructure. This decreases the operational tasks time, allowing the developer to concentrate on creating and deploying applications faster.

Cons Of Serverless

Limited Resources: The platform of serverless exploit the limitation of resources on functions as like memory, execution time and CPU. This can not be allowed for those application which have the high demand on resources and the tasks is running for the long time.

Vendor Lock-In: When you are accepting a serverless platform it means you are locking your application into a specific ecosystem of cloud provider’s. This will becomes very challenging to migrate from one provider to another or if there is any requirement for deploy on-premises because it become the dependency on single provider and that’s why it become the challenges to shift from one provider to another.

Cold Start: As the name suggest cold means the things which is not used for a while, so the functions of serverless can have a cold start time, that means the time that initialize the functions when it hasn’t used for a while. so, when the application is invoked for the first time then the infrastructure of serverless take some time for setting up the resources and this can introduce latency.

Examples Of Serverless

Mobile Backends: Serverless is used for mobile backend data and operates user notifications, file storage, and database interactions, providing a cost-efficient solution.
IoT (Internet Of Things): It can be used for Internet of Things applications, such as processing sensor data, sending notifications, and controlling devices.
File Processing: Serverless facilitates data storage in cloud storage, file uploads, and image processing.
Chatbots: It plays a role in customer interaction platforms like chatbots, combining functions with Natural Language Processing (NLP) services and backend systems communication.
Web Applications: It helps in developing web applications and also operates server-side logic & API endpoints.
Machine Learning: Serverless is used for machine learning applications requiring cost-efficient and scalable capabilities.

Conclusion

So definitely Serverless has gained a lot of attention from tech giants, cloud enthusiasts, engineers, and developers alike for its apparent advantages.It is being envisioned as the next evolutionary stage in the development of computing and network architectures

But we need to understand that Serverless computing continues to evolve as serverless providers come up with solutions to overcome some of its drawbacks. Serverless is still not in fully matured state.

It is a cloud-native development model that enables developers to run code without managing traditional server infrastructure. It goes by various names, such as FaaS and Serverless computing. Its pay-as-you-use pricing model stands out as one of its most significant advantages. It is a powerful tool for building efficient and scalable applications. However, it’s crucial to consider its plans and limitations carefully when implementing it in your projects.

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How many types of Programming Languages do you know exist ???

Shiwani Sharma — Wed, 27 Sep 2023 17:32:57 +0000

What Is Programming Language?

As we have already mentioned and explained programming languages in our previous blog, let’s now delve into their types. There are many different types and categories of programming languages: Procedural, Functional, Object-Oriented, Scripting, Logic etc.

A programming language is a way for the Developers or Programmer to communicate with computers and other devices(IOT) using machine understandable code.

There are many programming language available across the world, each language is created for specific features and when the language is written it is required to be translated into bytecode and machine code which the computer can then perform.

Different Types Of Programming Language

Now let us look at the different ways these programming languages can be grouped and categorised. There was many ways we can grow these languages based on their behaviour, execution style, structure and many other parameters. The diagram below shows some the common ways to define and group the programming languages as Procedural, Functional,Logic based, OOPs, Scripting etc to name a few.

Procedural Programming Languages

A computer programming languages that is formulated for writing programs and it concentrate on explaining the process that a program need to gain some target. It is best for those tasks where a big problem has to divided into smaller and find a simpler way to get the solutions. In the other word, a programming model that is based upon the concept of procedure, that means routines, functions and includes some computational steps.

PL/C
PL/I
MATLAB
HyperTalk
Go
Ada
Fortran

Functional Programming Languages

Functional programming languages is based on mathematical functions and avoid movable data. It utilized it’s functions as a primary building blocks of programs. Here you cannot change the data structure which is created and it is formulated when modifications are required. It has other important features that is pure function that means provide same input as same output. Some common examples of Functional programming languages are

ML
Erlang
Haskell
F#
Scala

Object-oriented Programming Languages

The concepts of OOPs are Classes, Object, Polymorphism, Abstraction, Inheritance & Encapsulation. This language is based on the principle of object-oriented programming. This language is totally depends upon object –oriented program and circulated around the concept of object. With the help of this language developer construct and formulate software that can charge to more organized and maintainable code. Examples of OOPs languages are:

Java
Python
PHP
C++
Ruby

Scripting Languages

This language is constructed to utilized for easy and quick writing scripts that help in automation of tasks, exploit data and have to perform several functions. This is a simple language that anyone can use and utilized to automate the tasks manipulate the data. Some famour scripting languages are : Python, and Bash etc. these languages make the important tools in automation and programming.

Bash
JavaScript
Lua
Tcl
VBScript
Windows PowerShell
F-Script
BeanShell

Markup Languages

A markup language can be defined as an artificial language that used for annotating a document so that it is syntactically distinguishable from the text, the text that define how the text is to be displayed.
Examples:

HTML
XML
XHTML
SGML
Curl

Logic Programming Languages

It is based on the principle of formal logic and these languages is beneficial to solves the query in symbolic reasoning, knowledge representations etc. It is focus on what we have to gain rather how we can and it also consists of inference mechanism that permit the system to reduce latest logic from the rules and facts. Some of the logic programming languages include:

Prolog
Absys
Datalog
Alma-0
Fril
Janus

Machine languages

These languages are directly executable by a compute Central Processing Unit. Machine languages are typically coded in bit patterns, represented in octal or hexadecimal forms.
Examples:

ARM
DEC
x86
IBM System/360
MIPS
Sun, Oracle SPARC

Visual languages

In Visual Languages users can specify programs in a 2-D or more way instead one-dimensional (text strings) in visual languages we use graphical elements and figures to develop a program. Some common example of Visual languages include:

Analytica
Blockly
DRAKON
Fabrik
Scratch
Simulink
Spreadsheets

Concurrent Languages

These languages are constructed for concurrency in Message passing languages. For example, Java shows shared-memory concurrency.
Examples of Concurrent languages:

Go
Java
Julia
clojure
Scala

Difference Between Front End & Back End Languages

S.NO.	Front End	Back End
01	It makes a user reflecting part of website or application.	It develops a server side of a application or website.
02	Angular, React are the frameworks of front end	Ruby, Flask & Django are the frameworks of back end.
03	It is responsible for constructing the layout of application and website.	It create and maintaining APIs, servers and the important database.
04	Frontend is a part of website, users can interact with it.	Backend means regulate everything behind the scenes.
05	It include HTML, JavaScript etc.	It include Python, Ruby, Java etc.

Difference Between High Level & Low Level Language

S.NO.	High Level	Low Level
01	There is no requirement of hardware knowledge	Hardware knowledge is required
02	A simple and easy language to learn.	Not an easy language.
03	It is portable	It is totally depend on machines and not portable.
04	Python , Java are the example of high level	Machines code and assembly are the example of low level.
05	It has the large community.	It has lower community support

Conclusion

As we know, there are approximately 700+ programming languages, and these languages are categorised into different types and categories like, object-oriented programming languages, scripting languages, markup languages etc.

Programming languages are crucial for all developers and programmers to interact and communicate with computers through code, no matter how simple it may be.

Through this post we have tried to share out thoughts on different ways the known programming languages can be classified based on there syntax, interpretation, behaviour etc.

If you want to know some of the most popular Programming languages that you can pick up and learn in 2023, you can have a look at our post >>

8 Best Programming Language In 2023

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8 Best Programming Language In 2023

Shiwani Sharma — Tue, 26 Sep 2023 17:50:23 +0000

What is a Programming Language?

A programming language is a way for the Developers or Programmer to communicate with computers and other devices(IOT) using machine understandable code.

As per a data there are over 700 different kinds of programming languages which are available that can be utilised to talk to machines.

By picking and learning the right programming language and expanding your knowledge of the languages you already understand, you can improve your resume and also stand out from other candidates.

Today we have tried picking up 8 Programming Language which we feel are very popular and learning them can definitely give you an extra mileage in your career in 2023.

Python

Google App Engine, Maya, Youtube, Google search, iRobot machines etc are the application and companies that assigned Python at the time of Python development. In the comparison of other languages like C, C++ this program gets slower although its development time is quick.

Features of Python

It has a pre-compiled code and it is comprehended, incorporated and directly executed language that means before executing your program or system you don’t have to assemble it.
As in comparison with other programing language like Java, C, C++ etc. it is easy and simple.
It has a huge standard Library and having an open source nature.
This program is object-oriented that is easy to learn with less amount of keyword as simple as the other language learning English .
It has garbage collection and support Graphical User interface (GUI)
Golang

If you want to use Go programs without installing it, you can go through some online IDE’s like repl.it, The Go playground etc.

Features of Golang

Enormous Library writing code on Golang is very simple due to its large standard library. As compared with other languages like Java and Python, the library of Golang is not big but it has all the important things for coding.

Easy and Readable Golang doesn’t add extra unuseful things and has only those characteristics which are applicable. This program is easy and very simple to use. The way this is formulated by which its code is easy to understand, and readable for any programmer.

Quickness is far better The performance and quickness of compilation are far better than other languages like Python, Java.
Swift

This open-source programming language was developed in 2014 by Chris Lattner Apple Inc. and designed by Joe Groff, Ted Kremenek, Doug Gregor, Apple Inc and John McCall. For many applications this language is all new as for macOs application, TvOs application, watchOS application, iOS application. Swift replace objective C and become popular all around the Apple society of developers and with the process going it became in the list of top 5 programming languages.

Any software that operates code and writes, it’s the characteristic of Swift. Some of the software are desktops, phones etc. The data of Swift is organized automatically. Among all the programming languages of 2018 Swift rated 14th and it is in a good demand and it is more faster than the other programming language such as Python and Objective -C.

Kotlin

An object-oriented, open-source language inaugurated in 2011 by JetBrains had performed on several platforms like Microsoft Windows, iOS, Android, JavaScript, watchOS etc. And it is completely interoperable with the Java code but in comparison with Java, kotlin is a better language. It gives the best support on Android. It is statically typed, free and provides you with safety. This language is formulated for Java Virtual Machine ( JVM) and Andriod. It is very useful and has many techniques likes lazy evaluation, operated overloading, lambda expression, higher-order functions etc. It can create automatically of boilerplate like hasCode, toString etc. One of the main characteristics is Kotlin has Statically typed that means for the declaration it is not important to restrict every variable. Some of the companies name who is using this programming language is Pinterest, Google, Uber ,Kickstater. Etc

JavaScript

JavaScript is designed by Brendan Eich and Netscape and was first released on 4 December 1995 which is stable released by ECMAScript in 2020. A programming language that is used for many things like web development, application, web applications, web browsers etc. With the comparison of another language as common as HTML and CSS, Javascript has more characteristics on web pages. For connecting with a user JavaScript provides some elements that interactive web pages. On Amazon, we use Javascript that contains a search box. It’s a scripting language that helps functional programming styles and a useful programming language for a web page. You can easily play audio music and a video and have an appearance of animation as well. In this language, a programmer can find all calculations related to maths and permits you to add HTML data to the DOM.

It manages prototypes that emulate the most important characteristic. For functioning with data structure, text, (DOM) Document Object Model JavaScript has an important application that is (APIs) application programming interfaces. It is very popular in some theaters such as Titanium, Apache, PhoneGap, NativeScript etc.

Node.Js

Node.js is formulated by Ryan Dahl in 2009 and its form on Google Chrome’s JavaScript Engine.

It is commonly used in those applications where a lot of traffic is obtained daily routine such applications are Book My Show, Netflix, Uber, Ola etc. It’s an open-source program that is composed in JavaScript and it performs under Node.js runtime on Linux and Microsoft Windows. For the user working in Node.js is of huge importance and it facilitates the growth of web applications because of having a standard library.

It’s a platform where the programmer finds the network application an easy and quick facility. One of the simplest definitions of Node.js is an open-source platform where you find the Javascript library with the Runtime Environment. It can easily handle the error.

The main features of Node.js are you will not find any kind of buffering, no data will buffer and its library is very quick that a code can be performed easily.

PHP

An open-source scripting language which is facilitated by the server-side and this PHP stands for Hypertext Preprocessor. RasmusLerdorf formulated this in the year 1994. This PHP programming language is used for the formation of robotic buzz management and graphical apps. You can easily install and use this programming language for free. The most famous application of social networking is Facebook. It has an extension that includes PHP code, CSS, HTML, and last but not least JavaScript. PHP flows on a flat browser named HTML and is performed on a server.

For the user, this language is simple and catches quickly due to the flow on a server-side. Unix, Mac OS X, Linux, Windows etc are the platforms where this PHP operates. One of the main features of the version is having decent error handling.

PHP’s main mark is text and has many auxiliary tools that will provide the development process. It has improved the characteristics of flash with the processing of images.

Advantage of PHP

Some of the advantages of PHP are given below:

It is an open-source independent platform that is used in many platforms like Linux, Os, Windows and UNIX etc.
This language is simple and easy to regulate and learn for a beginner programmer.
You can use it for free and many tools function on WordPress.
One of the reasonable advantages is the PHP program is best for websites because its code flows sooner than the other program like ASP.
For the better version for data indication, it has the standard library.
Quickly, that saves your time.
Because of its flexibility and versatility, it will give you a programmer a fair experience.
It’s object-oriented that favours a good amount of data.
C++

One of the well know programming language which is used for game development, system programming, high performance application and so on. C++ is developed by Bjarne Stroustrup and it has updated 4 main updated in a year 2011, 2014, 2017 and last in 2022. You can find this language in graphical user interfaces, embedded system and in operating system. This language is easy to learn and quite similar to java, C & C#.

Conclusion:

While there are various programming languages that have gained popularity in the last few years, these languages have become the first choice for developers and programmers and are widely recognized in the market. Python, in particular, is a language that wasn’t very popular in the past, but it has recently become crucial for new developers to learn due to its extensive use in many organizations.

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Workforce LayOffs 2023: Airtable, low-code software platform to layoff about 27 per cent of the workforce

Admin-Devopscurry — Mon, 18 Sep 2023 15:45:57 +0000

Workforce ; The latest startup to join the layoff winter is Airtable, a low-code platform for building collaborative app has announced to lay off about 27 per cent of the workforce or 237 employees, in the second round of job cuts.

The company CEO, Howie Liu in a message to its employees revealed that the company will be offering severance pay and compensation to the impacted employees. The company has also announced the employees will also get 6 months of healthcare premium coverage, along with an additional cash payment to cover other Airtable-provided benefits for the next 60 days.

The layoffs will be company-wide, with the largest impact on product and sales teams focused on selling and servicing smaller clients, the report mentioned. In December last year, Airtable laid off over 250 employees, or 20 percent of its workforce across business development, engineering, and other teams.

“The market has tipped towards favouring efficient growth over growth at all costs. We must operate the business in a more mature way that puts us on a path to become a public company and to have durability and efficiency in how we grow,” Howie Liu, Airtable’s founder and CEO, was quoted as saying.

Airtable was founded in 2013 by Liu and Co-founders Andrew Ofstad and Emmett Nicholas, as a cloud-based spreadsheet startup to rival Microsoft Excel. The Airtable app is a cloud-based relational database that looks like a spreadhseet and can be used by nontechnical workers to analyze data as well as plan and collaborate on projects. Airtable currently has six offices across the globe.

The post Workforce LayOffs 2023: Airtable, low-code software platform to layoff about 27 per cent of the workforce appeared first on DevopsCurry.

Becoming a Certified Kubernetes Administrator (CKA) in 2023?

Wed, 06 Sep 2023 08:04:17 +0000

Kubernetes is a renowned open-source platform that helps businesses manage their IT services and systems. When you become a Kubernetes Administrator, you are expected to take up the responsibilities associated with designing or implementing various solutions for the business to benefit the Kubernetes ecosystem.

The Certified Kubernetes Administrator (CKA) is one of the most sought after, in-demand certifications in the current Devops domain. The purpose of the Certified Kubernetes Administrator (CKA) program is to provide assurance that CKAs have the skills, knowledge, and competency to perform the responsibilities of Kubernetes administrators.

It is an online, proctored, performance-based test that requires solving multiple issues from a command line.

For instance, you will handle the configuration of services, peripherals and hardware. Not just that, but you will also be managing the storage, optimising the settings and deploying cloud-native apps. The scope of career growth is immense with Kubernetes administration skills, and there’s a dedicated certification for you to kickstart with it.

The CKA or Certified Kubernetes Administrator exam will test your skills, ability and knowledge to perform the required tasks within the business systems using the dedicated platform. So, if you want to become a Kubernetes professional to secure a high-paying and challenging job, take this article as your preparation guide with effective tips.

What are the Roles and responsibilities of a Kubernetes Administrator
Before diving deeper into the topic and educating you on the tips you must adopt to successfully pass your Certified Kubernetes Administration exam, here’s a brief glimpse at almost all duties that you will have to fulfil with this designation in your career:
* Create the container infrastructure
* Design & implement solutions
* Implementing Continuous Integration to boost the delivery systems
* Goal-centric collaboration with other teams.
* Deploying the applications within the Kubernetes ecosystem and monitoring them.
* Improve the overall alert or monitoring system.
* Help with required documentation or other support requirements.

Tips For Easily Clearing the Certified Kubernetes Administrator Examination with Utmost Proficiency
If you have applied for the CKA 2023 examination and are awaiting the date, you must push your preparation efforts beyond your comfort zone. Here are some of the tips that will help you prepare well for your Certified Kubernetes Examination in 2023:

1. Be Comfortable with Using the Kubernetes Command
Remember that CKA is a hands-on examination for which you must showcase your Kubernetes CLI skills. Therefore, attain comfort upon using all types of commands within this domain through intense practice. Over time, you will develop the required accuracy.

You will be asked to run the Kubernetes CLI commands during the examination several times. Therefore, having enough practice and knowledge on them would help you save a lot of time during the examination, leaving you room to attend to the maximum number of questions.
You can set up some aliases or shortcuts to save time, but don’t necessarily devote all your preparation time to it. Plan your preparatory approaches!

2. Learn Using the Kubernetes Documentation Page
During the examination, you can use Kubernetes documentation as your companion for help. You can use them to retrieve required information that might help solve the problem during the examination. With this facility, Kubernetes examinations become distinguished from all others. It is because you will be tested on your Kubernetes skills and how effectively you utilize the given documentation instead of memorizing things.

For that, you must be aware of the documentation in brief. Familiarize yourself with different topics or locations of information within the pages. Use the search technique most efficiently. Remember, you can’t use the bookmark feature to keep your important pages on the top.
So, spend some time mastering the documentation pages rather than memorizing things required for Kubernetes Administrator certification.

3. Review the Work After Every Question
Once you have solved one question in the paper, make sure you go back and review it. You must note two things: don’t spend more than 10 to 15 minutes on a question and don’t overlook any hesitant errors.
For instance, suppose you are running the command to create a new pod. In that case, don’t specify the command and move on, assuming the function might work. Instead, take your time to verify the status of the command and confirm its optimal functioning.
Not reviewing the solutions might make you feel confident upon answering the questions, only to know later that you aren’t marked for it.

4. Try and Master JSONPATH
You must learn JSONPATH on priority and become skilful in using it because you might need it for formatting your Kubernetes output. Free courses on JSONPATH for Kubernetes are available to help you understand the use and implement it for your preparation measures.

Conclusion
The CKA examination is very practical and based on performance as a priority. All of it is for some evident reason! Cloud Native Computing Foundation, the Kubernetes management organisation, wants to ensure that the people they certify should have actual skills. Therefore, it is very important for you to not just prepare well but be serious about building a skillset dedicated to Kubernetes.

The only goal you should have is to learn the most while preparing for the examination. These concepts will not just help you bag a job but will also help you scale your individual growth in the tough, competitive world.

The post Becoming a Certified Kubernetes Administrator (CKA) in 2023? appeared first on DevopsCurry.

Exploring the Buzz around ChatGPT in 2023

Shiwani Sharma — Fri, 11 Aug 2023 09:29:42 +0000

So what is ChatGPT?

ChatGPT , launched in November 2022, by AI & research company & open AI that specializes in developing conversational AI models. The abbreviation “GPT” stands for “Generative Pre-trained Transformer.” This tool utilizes AI technology to enable human-like conversations with chatbots.

To better understand this concept, let’s consider an example. Imagine you are searching for a real estate company and you come across a website. Upon visiting the website, you encounter a chatbot designed to assist you and address your queries. This chatbot operates on a similar principle as ChatGPT, as it is constructed as a question-answering model.

In summary, ChatGPT leverages advanced AI techniques to create Chatbot models capable of engaging in realistic conversations, making it a valuable tool for facilitating user interactions and providing information.

Image Credits: https://medium.com/geekculture/chatgpt-what-is-it-and-how-does-it-work-exactly-62e7010524d3

Characteristics of ChatGPT

Formation of New Content: ChatGPT is capable of generating new content in a human-like manner using a question-answer model. When you pose a question, it can provide you with an exact answer to your query.
Huge Vocabulary: It possesses a vast word dictionary, which is highly beneficial for users. With approximately 570 GB of data, ChatGPT has access to an extensive vocabulary.
Self-Learning Process: ChatGPT can learn and adapt to new information, implementing it when necessary. When users provide feedback, ChatGPT actively tries to incorporate and address i
Translation in any Language: One of the important characteristics of ChatGPT is its translation features. If you want to learn any language, you can easily learn it without paying anything. This tool can translate text into a maximum of 26 different languages.
Code Generation: One of the amazing features of ChatGPT is its ability to create code. If you are stuck while writing any code for a website or anything else, you can take help from ChatGPT and it will easily write the whole code structure for you.
Content Creation Assistance: If you are a writer and you need some content for social media, blogs, or articles, then you can take the help of ChatGPT. It will also assist you in writing SEO content and provide keyword suggestions for SEO writing.
Helpful for Homemakers: This tool is not only for working people in offices but also helpful for homemakers who want to make some special dinner or lunch for their family. It can also be used to learn cooking.
General Research: Another important feature is that anyone of any age, whether it’s a school-going child, college student, working professional, or homemaker, can use this tool to search for anything and get the answers they need.

Importance Of ChatGPT

Effective Interaction & Communication ChatGPT is a unique and effective tool that facilitates direct interaction between humans and machines. With the assistance of ChatGPT, users can ask questions and receive the desired information through conversational text or messaging.

Access to Vast Information ChatGPT collects data from external sources and training data, providing it with access to a vast amount of information. Users can easily obtain answers to their questions and be satisfied with the detailed explanations and information provided.
Customer Satisfaction ChatGPT ensures quick responses and helps customers resolve their queries. Users can ask any type of question, and ChatGPT always strives to satisfy customers by providing relevant and extensive information that precisely addresses their needs.

Benefits of ChatGPT

Saves Time This tool helps you save time searching for the data you want; you can get it within seconds. When making a website, you would have to write hundreds of lines of code, but with this tool, it becomes easy as it writes the code quickly. This tool not only saves the time of web developers but also benefits writers and SEO experts by saving their time.
Best Free Tool for Learning Whatever you want to learn, you can get your answers quickly without having to pay a certain amount to anyone. Therefore, this tool is the best for learning, enabling you to improve your knowledge and easily navigate through complicated situations.
Provides Best Content This tool also helps you create the best content. Whether you need to write an email or any other content, content creators nowadays use this tool to produce top-notch content. It also assists in sentence formation and rectifies grammatical mistakes.
Available 24 Hours It’s a 24-hour open platform to solve your queries, always available for your help.
Provides Instant Response Additionally, it provides an instant response to your problems.

How To Use ChatGPT

It is very easy to use ChatGPT, so sharing it in a step by step manner:

Step-1: As a first step you need to go to their webpage by the link chat.openai.com on your any device( smartphones, computer, laptops) and create an account, if you do not a have it already.

Step-2: Now once your account is created, it’s free to use. After the account is created you can login to the home page of ChatGPT

Step-3: Now you can ask your queries and ChatGPT will reply back to your questions.

Some limitations with ChatGPT

Some important limitations of ChatGPT are as follow:

Not run without internet service
Lack of common sense
Reply one answer at one time, Not a multi-tasker tool
Sufficient knowledge with less amount of creativity
ChatGPT is a free product, but running this technology is an expensive affair that all cannot afford. The running cost is estimated to be around $100,000 per day or $3 million per month
Emotionless
Problem while solving some Mathematical problems

Conclusion

After its launch, ChatGPT had crossed over a Million users just within the first week. The world is amazed with infinite possibilities and can’t stop talking about this one-of-its-kind AI and are sharing their experiences on social media. It seems like from generating video ideas for content creators to helping developers spot errors in their code, the ChatGPT seems to have a little something for everyone.

What is different this time is that unlike the traditional Chatbots that connect keywords with intents, LLMs like ChatGPT are text predictors. Which means they fundamentally learn about the relationship between texts, words and sentences and then they use these relationships to predict the following string of characters.

But despite the fact that such developments are clearly ground-breaking, there seems to be a long way to go for it to become standard for general NLP purposes. Current studies show that even though the ChatGPT model is impressive given its do-it-all ability, it still might be underperforming compared to existing state-of-the-art solutions for modern NLP tasks.

Hence we would like to conclude with the thought that even though ChatGPT has taken the world by storm and not to deny the fact that ChatGPT is an exciting advancement in AI technology, it is yet to be seen if this is sustainable model in the long term both from cost and technology perspective.

The post Exploring the Buzz around ChatGPT in 2023 appeared first on DevopsCurry.

What is Knative, and why should have a look at it in 2023 !

Mon, 25 Jan 2021 19:07:38 +0000

Understanding Knative: a Container-based Serverless tool

Since last few years, serverless technologies have been in demand and also seen good adoption. Going by stats, 2021 and onwards have been predicted as years of servereless. The container based applications are the flavor of the season, and kubernetes is witnessing a huge demand and adoption from the corporates.

Kuberenetes is definitely a great tool with a lot of potential, but along with Kubernetes, the ecosystem around it is also ever-growing and expanding with lots of new tools and technologies coming into being. Once such tool is Knative, which makes Kubernetes even better.

Knative is an open-source framework launched to bridge the gap between the containerized and serverless applications among cloud providers. It was developed in 2018 and supported by a group of companies that worked together (Google, IBM, Pivotal, Red Hat, and SAP) to help Kubernetes run microservices and efficiently handle serverless applications.

Many companies widely adopt Kubernetes as an orchestration tool that manages the containers, but you have to rely on the proprietary release-management tools for deploying containers. Also, it demands writing custom code and requires manual effort for troubleshooting in case of failure, and it is challenging to implement serverless computing without the cloud-based serverless platform. Knative was introduced to overcome the situation and establish a standard for cloud-native and cloud-platform orchestration because of these problems.

You can also look at our posts on Serverless and some popular Serverless solutions.

In the post below, we will talk about Knative in detail, its benefits, why there is a need to adopt Knative, its core components, and the future of Knative for Kubernetes and cloud-based enterprises.

What is Knative?

Knative (pronounced kay-nay-tiv) is an open-source, Kubernetes-based serverless framework that was initially developed by Google. Its key feature is to maintain the standard for cross-platform orchestration, which is being implemented by integrating the container or function creation, workload management, auto-scaling, and event models.

Knative is not the only serverless platform available in the market. Earlier, we have other open-source solutions like Kubeless, Fission, Apache OpenWhisk, etc. Also, we have cloud providers that provide equivalent FaaS products like Lambda, Azure functions, function compute, and many more. Every solution mentioned above has its ways to deploy business code to a serverless platform, which may cause market fragmentation due to a lack of standardized practices. This may lead you to be bound to a specific provider for a particular feature that may not be provided by the other solution or provider. This causes problems like migration to the cloud in a serverless manner, hard to build a general-purpose PaaS platform. That is why Knative comes into play to fix these problems.

The need for Knative depends on you much you are struggling to implement the tasks that can be implemented efficiently within a Kubernetes-based pipeline. As Kubernetes has been in great demand, so has the Knative for automating the process of container-based serverless applications. Unlike other serverless environments, Knative allows you to avoid cloud vendor lock-in.

Below are some features of Knative.

With the help of Knative, developers can directly use the Kubernetes API to deploy serverless services.
You can easily integrate Knative within any supported environment.
It is Kubernetes-based and allows you to deploy services to Kubernetes.
It allows the users to trigger serverless services in Knative with the help of the eventing system.

Benefits of Knative

Knative supports Kubernetes serverless orchestration and provides services like service connection, route management, and phased release. It comes with a large community supporting it. Below are some benefits of Knative can influences business to adopt it within the Kubernetes pipeline.

Knative is not a PaaS but is a serverless orchestration platform that allows you to create your serverless PaaS.
It provides a CloudEvent standard framework to design serverless architecture. Unlike other FaaS solutions, it has standard events, and it is compatible with other FaaS solution.
It comes with cross-platform support and provides a universal standard among different cloud providers that eliminate the risk of binding vendors to a specific solution.
It has a mature and full-fledged serverless design.
Knative helps in building a complete application from source code to images.
It helps in supporting the proportional phased releases.
It provides you a flexible framework without the risk of vendor lock-in for a specific solution.
It allows you to leverage the serverless experience within a containerized environment.
It helps in removing the reliability of customized tolling and management.
By implementing Kubernetes, you can easily migrate to other cloud providers integrated with Knative.
It helps in processing IoT data, running accessibility checks for your website, and validating the configuration of the security groups.
It provides a request-driven compute model.
It helps developers to focus on coding and allow them to create iterative code frequently. It also ensures that developers will implement new versions of the containers.
Knative allows you to manage the workflow as a service automatically.
Its event-based model allows you to implement designs that include registration, subscription, and connection to the external system.

Knative Architecture (Three core components of Knative)

Knative is a Kubernetes extension that allows you to build, run, and operate microservices using serverless traits. Knative is a Kubernetes-based framework to provide serverless containerization functionality. Knative has with three core components.

Image Credits:https://github.com/knative/docs/

Building- this component helps in extending and utilizing the existing primitives of Kubernetes that enables you to run on-cluster builds of the container from the source code. It allows getting the source code from the repository and the dependencies, building container images, and registering them.
Serving- this component is built on Kubernetes and Istio that supports the serverless application’s deployment. It also enables the rapid development of serverless containers, automatic scaling, and network programming for Istio components. It considers containers a scalable service that can range from one instance to thousand of container instances.
Eventing- it allows you to create a communication between the loosely-coupled event producers and consumers for building an event-driven architecture. Knative places these events in a queue to be performed automatically without the developers creating a script. These events are then delivered to the containers and send feeds to the producers to perform container tasks. These events will make a connection and send the event to a specific service. This reduces the developer’s workload of creating codes to establish the connection.

Some useful Kubernetes posts for reference

Conclusion: The future of Knative

Knative has changed the face of serverless computing by providing on-premise automatic scaling of event-based applications. Despite the new framework, it is making an impact on a more modular and interoperable system. It cannot be predicted that this solution will cover all the shortcomings and be the only option to run serverless architecture. But considering the benefits of Knative over other serverless alternatives make it more influential for the developers to implement it within their Kubernetes architecture.

Knative can help you save a great deal of time by eliminating the need to build and maintain your own Kubernetes extensions. Also it makes the developers’ lives easier and much better, because building custom extensions for Kubernetes is the type of task that is tedious and needs a lot of effort.

But with all that good things about Knative, you should also keep in mind that it is a relatively new tool which is still developing and evolving. So you should factor all aspects into mind and made a wise call, when adopting any new tool into your DevOps armoury.

The post What is Knative, and why should have a look at it in 2023 ! appeared first on DevopsCurry.

Resources – DevopsCurry

Golang Packages

10 ultimate Python Packages for professionals in 2024

A Beginner’s Guide: Understanding Serverless in 7mins in 2024

What is Serverless?

Serverless Adoption

Types of Serverless

Pros & Cons Of Serverless

Examples Of Serverless

Conclusion

How many types of Programming Languages do you know exist ???

What Is Programming Language?

Procedural Programming Languages

Functional Programming Languages

Object-oriented Programming Languages

Scripting Languages

Markup Languages

Logic Programming Languages

Machine languages

Visual languages

Concurrent Languages

Conclusion

8 Best Programming Language In 2023

What is a Programming Language?

Python

Golang

Swift

Kotlin

JavaScript

Node.Js

PHP

C++

Conclusion:

Workforce LayOffs 2023: Airtable, low-code software platform to layoff about 27 per cent of the workforce

Becoming a Certified Kubernetes Administrator (CKA) in 2023?

Exploring the Buzz around ChatGPT in 2023

So what is ChatGPT?

Characteristics of ChatGPT

Importance Of ChatGPT

Benefits of ChatGPT

How To Use ChatGPT

Some limitations with ChatGPT

Conclusion

Top 25 Docker Advanced Interview Questions in 2021

Docker Interview Questions with Answers (Intermediate/Advanced)

What is Knative, and why should have a look at it in 2023 !

Understanding Knative: a Container-based Serverless tool

What is Knative?

Benefits of Knative

Knative Architecture (Three core components of Knative)

Conclusion: The future of Knative