Monday, 31 October 2022

Best Free Data Science Courses for Beginners || Datacamp || techtalksgroup||

theprogrammer.harshit  October 31, 2022    No comments

 



DataCamp is an online resource that was launched in 2013 and focuses on subjects like data science and analytics. There are more than 350 courses available, each taught by one of the 260+ knowledgeable instructors from Datacamp and other prestigious institutions like Duke University.
        So, DataCamp can be the ideal online platform for you if you're trying to develop or enhance your data skills. Its interactive classes are all created so you may learn at your own pace.

DataCamp is for whom ?

Let me give you a brief overview of what to expect from DataCamp. It is an online learning environment where you can study data skills at your own speed. Its four-part learning methodology—Assess, Learn, Practice, and Apply—helps students have a well-rounded educational experience.


DataCamp courses that are completely free:-

1) Introduction to Python: -

                                    A general-purpose programming language called Python is growing in popularity for data science. Python is being used by businesses all around the world to extract insights from their data and achieve a competitive advantage. This course, in contrast to previous Python tutorials, focuses on Python specifically for data science. You will discover effective methods for manipulating and storing data as well as useful data science tools to start doing your own analysis in our Introduction to Python course. Start learning Python immediately with DataCamp.

Course Link:- Introduction to Python

2) Introduction to SQL:-

                                    In this two-hour introduction to SQL, you will learn the theory and the practise through short films and hands-on activities that will let you put your newly acquired knowledge to use.
A variety of occupations in the data sector and beyond are accessible thanks to SQL, which is a crucial language for creating and maintaining relational databases. This course will begin with a discussion of data organisation, tables, and recommended practises for building databases.
                Two of the most widely used SQL variants are PostgreSQL and SQL Server. This course will come to a close with an examination of the distinctions, advantages, and practical uses of each. By the end of the course, you'll have gained some practical SQL knowledge and the foundation necessary to start using it on projects or continue your education in a more specialised area.

Course Link:- Introduction to SQL

3) Introduction to R:-

                                R is the most well-liked programming language in the data sector. It can handle AI, machine learning, financial analysis, and much more, and there is a significant demand for data scientists, analysts, and statisticians alike. The fundamentals of this open source language, such as vectors, factors, lists, and data frames, are covered in this introduction to R course. You'll learn practical coding techniques and be equipped to launch your own R data analysis project. Next, you'll discover how to use matrices in R, including how to build them and carry out calculations using them. You'll also look at how R stores categorical data using factors.  You'll investigate working with R data frames and lists in the last section. You will be able to apply the fundamentals of R for your own data analysis once you have finished our Introduction to R course. These in-demand abilities can help you advance in your work and pave the way for more education. This course is a component of multiple tracks, including R Programming, Data Analyst with R, and Data Scientist with R, all of which can aid in your knowledge growth.                         

Course Link:- Introduction to R

4) Understanding Machine Learning:-

                                        What is the excitement surrounding machine learning? You will discover everything about machine learning that you have been too frightened to ask in this non-technical session. No coding is necessary. You may learn how this innovative technology underpins everything from self-driving vehicles to your customised Amazon shopping recommendations through practical exercises that will help you cut through the technical language. What is the difference between AI and machine learning, when can you use it, and how does it operate? Each one is protected. Learn the skills needed in this very prominent and in-demand sector, and find out why machine learning is beneficial to everyone.

5) Data Science for Everyone:-

                                What is data science, why is it so well-liked, and why was it dubbed the "sexiest job of the 21st century" by the Harvard Business Review? Without writing a single line of code, you will learn everything about this rapidly expanding and intriguing topic that you have ever been too frightened to ask in this non-technical course. You'll discover the various roles of a data scientist, the fundamentals of A/B testing, time series analysis, and machine learning, as well as how data scientists derive information and insights from actual data, through practical exercises. So don't let the trendy terms deter you. Start your education, develop your skills in this highly sought-after industry, and learn why data science is for everyone.

6) Data Engineering for Everyone:-

                                        You will learn about the fundamental duties of a data engineer, how they differ from data scientists, and how they help the flow of data within a company in this course. You'll follow Spotflix, a made-up music streaming service, to learn how their data engineers gather, clean, and classify their data through practical exercises. By the end of the course, you'll have a strong understanding of what data engineers perform at your company, be prepared to speak with one, and be ready to embark on your own journey as a data engineer.


                                                               --------

Read More

Tuesday, 23 August 2022

Upcoming Challenges for Cybersecurity Professionals in Cloud and IOT

theprogrammer.harshit  August 23, 2022    No comments
 The potential of the Internet of Things (IoT) is almost limitless. The Internet of Things is poised to transform our society a safer and more comfortable one, from linked homes to connected automobiles 2014 to sensors monitoring traffic and natural disasters. But new dangers come along with this new generation of technology. Opportunities for hackers grow as more gadgets are connected to the cloud.




IoT Analytics' research predicts that in 2022 there will be 14.4 billion active endpoints and an 18% increase in IoT active connections. This comes after an 8% growth in 2021, when there were 12.2 billion active endpoints. Even though this increase is tremendous, the ongoing chip scarcity is impeding it.

Cloud computing is anticipated to rise by 20.4% in 2022, according to Gartner. Infrastructure, platforms, desktop-as-a-service, and the need to access to applications and data from any location are driving this continuous expansion.

IoT device proliferation and cloud computing lead to an exponential rise in cyber risk and cyberattack volume.

Organizations usually had a defined perimeter three years ago, including on-premise, cloud and hybrid, BYOD, and enterprise-governed devices. The network perimeter has vanished, employees are dispersed across many different locations, the majority of large businesses are multi-cloud, BYOD is still common, enterprise-governed devices are spread across numerous networks and millions of cloud applications, and credentials and secrets are spread out all over the place.

The Adoption-Security Paradox

A failure to protect passwords, credentials, and secrets—many of which are kept in code, on computers, and on sticky notes—is to blame for more than 80% of breaches. Employee passwords, credentials, and secrets are hidden on every device, application, and system, and there is no visibility, security, or control over them.

The paradox is that fewer employees prefer to utilise a system that is more secure. Their organisation is less secure the less they utilise it.

The Paradox's Resolution

Businesses want a cybersecurity platform that gives them complete visibility, security, and control over every user on every device within the company. By integrating enterprise performance management, secrets management, and privileged connection management across all devices, platforms, and services, such a platform offers zero-trust security and compliance.

Some of the highest-value targets for crooks are privileged credentials. Therefore, businesses require a cybersecurity platform that protects infrastructure secrets like API keys, database passwords, access keys, certificates, and any other private information.

By eliminating hard-coded credentials from source code, configuration files, and CI/CD pipelines, a secrets manager will safeguard the environment and get rid of secret sprawl. With role-based access controls, administrators may regulate access rights and permissions. Infrastructure, containers, and construction systems may all incorporate secrets. The platform will allow for secret aggregation, auditing, and the automated rotation of access keys, passwords, and certificates.

Through any web browser, a connection manager enables DevOps and IT to easily and securely access RDP, SSH, database, and Kubernetes endpoints. Any on-premises or cloud infrastructure may accommodate the installation of an agentless remote desktop gateway. Both on-premises and in the cloud, it ought to be simple to implement on the network.

Takeaways

Since more capable platforms will help reduce the need for at least some of the 75 security solutions the average firm now uses, the correct cybersecurity platform will also assist businesses in starting to address the security solution sprawl.

By implementing zero-trust remote access for their distributed workforces with granular visibility and control across all endpoints, organisations may strengthen security. The appropriate cybersecurity platform makes this possible.
Read More

Monday, 6 June 2022

Top 10 Metaverse platforms that will eventually replace Social Media.

theprogrammer.harshit  June 06, 2022    No comments

                                                                                   

Top 10 Metaverse platforms that will eventually replace Social Media.

 

The Metaverse is an aesthetically rich virtual environment with some realism in which individuals may work, play, shop, and interact.
It is a network of three-dimensional virtual environments centred on social interaction.
A virtual platform that allows developers to construct everything from virtual reality to augmented reality is known as a metaverse platform.
Metaverse is a technological segment that has gone a long way, thanks to investments from leading tech firms such as Meta Platforms, Microsoft, and Epic Games.
In compared to social media and other major products, the metaverse is considered a niche product.While it is hard to predict when the metaverse will replace social networks, it will undoubtedly provide unprecedented social and economical advantages. Here is a list of the top ten metaverse platforms that will eventually replace social media.

Decentraland: Decentraland is the metaverse's first blockchain-powered location. The Ethereum blockchain powers this virtual reality platform. It enables users to produce, interact with, and monetize content and apps.

Sandbox: The Sandbox is a virtual Metaverse where users may create, own, and sell their virtual experiences. The Sandbox blockchain gaming platform is made up of three interconnected products that work together to create a full user-generated content experience.

Axie Infinity: Axie Infinity is a blockchain-based gaming Metaverse in which users gather and breed digital creatures known as Axies, which can then be used to participate in a turn-based card game. Axie Infinity players gather and mint NFTs that symbolise axolotl-inspired digital pets known as Axies.

Bloktopia: Bloktopia is a Metaverse platform structured as a 21-story tower, where users may purchase specific floorplan areas using the site's cryptocurrency token, BLOK.

Zepeto: Before California-based internet behemoths like Meta Platforms Inc., now known as Facebook, Zepeto entered the metaverse sector. Zepeto, a South Korean metaverse platform, has received a $150 million investment from the Japanese multinational corporation Soft Bank.

Roblox: The Roblox metaverse is a developing phenomena in which real-life brands and trends inspire more businesses to use the Roblox platform. It is a metaverse platform in the Lego model where users may play games created by other players.

Nike: Nike Inc. is expanding their universe into the metaverse. Nikeland, a free-to-play virtual environment with games like dodgeball and floor-is-lava, is being developed in collaboration with video-game platform Roblox.

Gather: Gather is a video chat platform that aims to make virtual conversations seem more personal. Its mission is to provide opportunity and connection for everyone while also developing the Metaverse, a virtual overlay above the actual world where people may work, interact, and study.

BollyHeroes: The BollyHeroes NFT Project is pursuing a lofty idea of creating a parallel Bollywood Metaverse with real-world collaborators. The goal is to create a Bollyverse based on the characters created by the community.

Somnium Space: Somnium Space is a metaverse with a different goal. It allows users to participate via a downloaded VR client or a browser-based version that functions similarly to any other online app.

Read More

Monday, 21 September 2020

Top 5 IDE's for Python. Check it out || techtalksgroup ||

theprogrammer.harshit  September 21, 2020    No comments
Python code editors are designed for the developers to code and debug program easily. Using these Python IDE(Integrated Development Environment), you can manage a large codebase and achieve quick deployment.

Developers can use these editors to create desktop or web application. The IDEs can also be used by DevOps engineers for continuous Integration.

Following is a handpicked list of Top Python Code Editors, with popular features and latest download links. The list contains both open-source(free) and premium tools.

1) PyCharm

PayCharm is a cross-platform IDE used for Python programming. This editor can be used on Windows, macOS, and Linux. This software contains API that can be used by the developers to write their own Python plugins so that they can extend the basic functionalities.

Price: Free

Features:

  • It is an intelligent Python code editor supports for CoffeeScript, JavaScript, CSS, and TypeScript.
  • Provides smart search to jump to any file, symbol, or class.
  • Smart Code Navigation
  • It offers quick and safe refactoring of code.
  • It allows you to access PostgreSQL, Oracle, MySQL, SQL Server, and many other databases from the IDE.

Download Link: https://www.jetbrains.com/pycharm/

2) Spyder

Spyder is a scientific integrated development environment written in Python. This software is designed for and by scientists who can integrate with Matplotlib, SciPy, NumPy, Pandas, Cython, IPython, SymPy, and other open-source software. Spyder is available through Anaconda (open-source distribution system) distribution on Windows, macOS, and Linux.

Price: Free

Features:

  • Allows you to run Python code by cell, line, or file.
  • Plot a histogram or time-series, make changes in dateframe or numpy array.
  • It offers automatic code completion and horizontal/vertical splitting.
  • Find and eliminate bottlenecks
  • An interactive way to trace each step of Python code execution.

Download Link: https://www.spyder-ide.org/

3) IDLE

IDLE (Integrated Development and Learning Environment) is a default editor that comes with Python. This software helps a beginner to learn Python easily. IDLE software package is optional for many Linux distributions. The tool can be used on Windows, macOS, and Unix.

Price: free

Features:

  • Search multiple files
  • It has an interactive interpreter with colorizing of input, output, and error messages.
  • Supports smart indent, undo, call tips, and auto-completion.
  • Enable you to search and replace within any window.

Download Link: https://docs.python.org/3/library/idle.html


4) Jupyter

Jupyter is a tool for people who have just started with data science. It is easy to use, interactive data science IDE across many programming languages that just not work as an editor, but also as an educational tool or presentation.

Price: Free

Features:

  • It supports for Numerical simulation, data cleaning machine learning data visualization, and statistical modeling.
  • Combine code, text, and images.
  • Support for many programming languages.
  • Integrated data science libraries (matplotlib, NumPy, Pandas).

Download Link: https://jupyter.org/install.html


5) Visual Studio Code

Visual Studio Code (VS Code) is an open-source environment developed by Microsoft. This IDE can be used for Python development. Visual Studio Code is based on Electron which is a framework to deploy Node JS applications for the computer running on the Blink browser engine.

Price: Free

Features:

  • The editor provides smart code completion based on function definition, imported modules, as well as variable types.
  • You can work with Git as well as other SCM providers
  • Enable you to debug code from the editor.
  • Provides extensions to add new languages, debuggers, themes to gain the advantage of additional services.

Download Link: https://code.visualstudio.com/


So that's it. Hope you guys like it. If yes then please .. comment down below and do not forget to like follow and share our social media platforms.

Read More

Thursday, 17 September 2020

What's the reason behind Why IT giants are developing their own private cities. ?

theprogrammer.harshit  September 17, 2020    1 comment

Situated in Menlo Park, south of San Francisco, is a 59 acre of land adjacent to the Facebook campus, this piece of land is proposed to be a fully self-contained and functional city called Willow Village. Here is why big tech companies are building cities, and why many are worried.


However, there is one notable thing about Willow Village that makes it different from other communities in the US; it is owned and being developed by American social media giant, Facebook Inc. Proposed Plan for Willow Village, source: menlopark.org


The Facebook Village

In a few years’ time, Facebook employees will be able to work, live, and sleep without leaving the property of the 5th most valuable tech company in the world. This city is proposed to have more than 1500 homes, a pharmacy, a grocery store, office buildings, conference spaces, a 193 room hotel, and a public park.


Recently, there has been a trend of big tech getting involved in large construction projects with Alphabet Inc., Google’s parent company, investing One Billion Dollars in its plans to build 20000 homes in Mountain View and Apple finishing one of the world’s most expensive buildings; Apple Park estimated at Five Billion Dollars.


Privately Owned Cities

The future will surely see employees of large tech companies living luxury lives in private owned cities, rent-free, and with many benefits in the comfort of the property owned by the company they work for.


The financial crisis of 2008 ushered in a dramatic change in the way individuals choose college degrees. While the total number of available jobs took a downward turn during the recession, college students were far more likely to stay in school or go back and apply for a more marketable major. More people applied to majors that were more marketable or could provide better jobs rather than majors that interested them. 


According to a 2005 study, unemployment rates have an effect on the way people choose college majors, this can be seen in the way majors related to healthcare, engineering and computer science exploded after the great recession while the number of applicants in education, philosophy, and religious studies saw a decline. 


With the average salary of a US computer and information technology worker being $88,240 — which is $39,810 more than the average salary of all other occupations — it is easy to see why high school graduates are flocking to these majors in large numbers. 


Computer science students

With the influx of computer science students, many people wonder why the market is not saturated. Students are picking college majors according to their career prospects, getting a degree in computer science is easy to obtain and salaries are exceptionally high, which means the market should be flooded with computer scientists.


The problem is that demand for computer scientists has increased tremendously, however, the market is not flooded because universities have a hard time producing computer science professors, which in turn reduces the number of computer science graduates.


Rather than having to wait at least nine years to get a bachelor’s, masters, and then a doctorate, CS graduates would rather enter the job market and get paid the same salary they would have if they worked as a college teacher or even more because of the extra five years experience.


Why Are Tech Companies Building Cities?

The shortage of computer science professors has put universities in a tight spot, they can either choose to accept a particular amount of high school graduates applying for computer science majors, or they can increase class sizes to increase the number of CS graduates and risk hitting the staff to student ratio and lowering the schools ranking.


New shortage in grads

Today, there is a shortage of computer science graduates, so tech companies or organizations that wish to employ these graduates have to go the extra mile to please them with high salaries, stock options, bonuses, and many more benefits or, risk losing them to other nearby tech companies, leaving employees with an advantage.


Due to the fact that tech companies are so concentrated in certain areas like Silicon Valley, changing jobs is especially easy with huge tech companies like Google, Facebook, and Apple; being just a couple of miles from one another, Tech companies have a hard time retaining their employees as employees do not even have to change homes if they decide to switch jobs. Tech companies, therefore, have especially low turnover rates.


Average stay of employee in one company

The average employee at Google or Apple stays a little less than 2 years before calling it quits. The low retention rates of tech companies pose a huge problem and many are striving to remedy it.


Ways to garner retention of employees

With the low retention rate of employees, companies have to find new ways to retain their employees thus employers have to go the extra mile to make workers happy, with gym memberships, cell phones, fitness, and wellness programs, wifi equipped busses and subsidized uber rides.


A very good and effective way of keeping employees though is to involve themselves in every aspect of their lives. This is where company-owned homes come in, It is much harder to leave a company if that same company owns your home and that of your friends and family. 


By increasing employees’ dependence on the company, we can surely expect to see the average lifespan of employees increase, Companies have been trying to do this by building homes, with Facebook, even going as much as paying a $10000 bonus to employees who live close to the office.


Why Many Other Businesses (and People) are Worried

All the many benefits employees get from companies trying to keep them, surely increase employees’ well-being and retention rates, which is beneficial to both staff and organizations but might come at the expense of society.


Companies try to make commuting to work more enjoyable and living with the ultimate goal of increasing employees’ retention rates by providing transport like wifi equipped buses, cab rides and houses for employees, but by doing so, they use public infrastructure like bus stops without improving the quality of public transportation.


Affordable housing

Because of the tech boom and the concentration of tech companies in tech hubs like New York and San Francisco, housing has been made less affordable as there has been an increase in the average rent of these cities.


There have been a lot of concerns about the fact that as big tech companies expand their physical presence, the line between public and private is blurred.

Not only are the lines blurred, but local governments find themselves not governing but being governed by these companies.


Take for example; in 2014, facebook funded a police station next to its campus along with offering to pay an officer $200000 as a yearly salary. It is time for the country to reevaluate the power companies have over the government.


So that's it. Hope you guys like it. If yes then please .. comment down below and do not forget to like follow and share our social media platforms.

Read More

Saturday, 29 August 2020

Learn HTML Free in [2020] – Basic HTML Codes for Beginners || techtalksgroup in collaboration with websiteplanet.com || Check it out..!!

theprogrammer.harshit  August 29, 2020    1 comment

 

So you’re not a total nerd, and you’re running your own site. Or maybe you are a total nerd, and you just haven’t gotten around to learning HTML yet. Either way, you’ve got a website, and it needs some changes. Maybe you’d like to change some of the text in your WordPress theme. Maybe someone made you a pure-HTML site, and you need to update some content, maybe switch out an image.

Well, there’s good news: all this is actually incredibly simple. You don’t need to be a programmer or anything like that. While HTML (Hypertext Markup Language) is generally considered to be a “coding language,” it is not a very powerful language. That is to say, HTML on its own cannot be used to perform all tasks that can theoretically be accomplished by computers.

Throw in CSS3 and JavaScript, and this becomes a whole different article. Or book. But we’re not touching that, because you probably just need to update your website with images of your latest deals. I want to make that easy for you, and so does HTML.

 For reading amazing single page HTML Codes for beginners.

Click on the link below .

https://www.websiteplanet.com/blog/html-guide-beginners/ 



So that's it. Hope you guys like it. If yes then please .. comment down below and do not forget to like follow and share our social media platforms.

Read More

Sunday, 23 August 2020

How to install Wine in Kali Linux. || techtalksgroup ||

theprogrammer.harshit  August 23, 2020    1 comment

 Have you been trying to figure out the easiest way to install Wine on Kali Linux and Debian 8/9?. This guide will show you how to get wine working on Kali Linux. It’s also essential for running i386 packages on an amd64 version of Kali Linux or Debian Distribution.

Wine enables you to run Windows Applications on a Linux box. It’s just a Windows emulator on top of Linux. Wine works on Linux, FreeBSD, UnixWare NetBSD, SCO OpenServer 5 and Solaris hence you can smoothly run Windows applications on these systems

 Typically you’ll need the following to run wine

Follow the process described in the video to install.

 

 

So that's it. Hope you guys like it. If yes then please .. comment down below and do not forget to like follow and share our social media platforms.

Read More