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*WEBINAR ON STORYTELLING USING VISUALIZATION*
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*WEBINAR ON ARTIFICIAL INTELLIGENCE BASED OBJECT DETECTION*
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*Webinar on Electrical Vehicle Technology*
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*Hosted By* : *Dept of EEE, ANNAMACHARYA INSTITUTE OF TECHNOLOGY & SCIENCES,RAJAMPET*
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Difference between Front-end and Back-end

Role of Front-end vs Back-end

Both play a crucial role in web development and although they have their fair share of differences, they are like two sides of the same coin. Front-end is all about the visual aspects of the website that a user can see and experience. On the contrary, everything that happens in the background can be attributed to the back-end web development. It’s more like an enabler for frontend web experience.
The developer of Front-end vs Back-end

The web designer is the most common job title for the frontend web development and the role of a web designer is to design and rebuild websites keeping the visual aspects in mind. Backend developers are the ones who make sure the data and systems requested by the frontend application or software are efficiently delivered. Backend developers handle everything that happens in the background.
Essentials of Front-end vs Back-end

Front-end is also referred to as the “client-side” as opposed to the backend which is basically the “server-side” of the application. The essentials of backend web development include languages such as Java, Ruby, Python, PHP, .Net, etc. The most common frontend languages are HTML, CSS, and JavaScript.

The Basics of Front-End Tools & Technology

Back in the day, websites were simple, static text sites with a bit of formatting and maybe even some animation. That was all thanks to HTML and CSS.
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React.js is the most popular front-end JavaScript library for building Web applications. React.js or Reactjs or simply React are different ways to represent React.js. Most fortune 500 companies use Reactjs  In this article, we will learn what React.js (or simply React or Reactjs) is and why we should use Reactjs instead of other JavaScript frameworks like Angular. 
What is React.js?
React.js is an open-source JavaScript library that is used for building user interfaces specifically for single-page applications. It’s used for handling the view layer for web and mobile apps. React also allows us to create reusable UI components. React was first created by Jordan Walke, a software engineer working for Facebook. React first deployed on Facebook’s newsfeed in 2011 and on Instagram.com in 2012.
JSX
In React, instead of using regular JavaScript for templating, it uses JSX. JSX is a simple JavaScript that allows HTML quoting and uses these HTML tag syntax to render subcomponents. HTML syntax is processed into JavaScript calls of React Framework. We can also write in pure old JavaScript. @pantechelearning
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Classification and Regression are two major prediction problems which are usually dealt with Data mining and machine learning.
Classification is the process of finding or discovering a model or function which helps in separating the data into multiple categorical classes i.e. discrete values. In classification, data is categorized under different labels according to some parameters given in input and then the labels are predicted for the data.
The derived mapping function could be demonstrated in the form of “IF-THEN” rules. The classification process deal with the problems where the data can be divided into binary or multiple discrete labels.
Regression is the process of finding a model or function for distinguishing the data into continuous real values instead of using classes or discrete values. It can also identify the distribution movement depending on the historical data. Because a regression predictive model predicts a quantity, therefore, the skill of the model must be reported as an error in those predictions.
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Interpreter Vs Compiler : Differences Between Interpreter and Compiler
We generally write a computer program using a high-level language. A high-level language is one that is understandable by us, humans. This is called source code.
However, a computer does not understand high-level language. It only understands the program written in 0's and 1's in binary, called the machine code.

To convert source code into machine code, we use either a compiler or an interpreter.

Both compilers and interpreters are used to convert a program written in a high-level language into machine code understood by computers. However, there are differences between how an interpreter and a compiler works.
Interpreter Vs Compiler
Interpreter
*Translates program one statement at a time.
*Interpreters usually take less amount of time to analyze the source code. However, the overall execution time is comparatively slower than compilers.
*No Object Code is generated, hence are memory efficient.
*Programming languages like JavaScript, Python, Ruby use interpreters.
Compiler
*Scans the entire program and translates it as a whole into machine code.
*Compilers usually take a large amount of time to analyze the source code. However, the overall execution time is comparatively faster than interpreters.
*Generates Object Code which further requires linking, hence requires more memory.
*Programming languages like C, C++, Java use compilers.
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A code editor is a tool that is used to write and edit code. They are usually lightweight and can be great for learning. However, once your program gets larger, you need to test and debug your code, that's where IDEs come in.
An IDE (Integrated Development Environment) understand your code much better than a text editor. It usually provides features such as build automation, code linting, testing and debugging. This can significantly speed up your work. The downside is that IDEs can be complicated to use.
***PyCharm combines all the Python tools in one place. It offers:
an intelligent code editor,
navigation and refactoring tools,
a debugger,
a test runner.
It also allows code inspections and supports VCS. PyCharm’s code inspection is one of the most advanced among all Python IDEs, making it much harder to introduce preventable bugs through static and runtime code analysis.
The paid version additionally offers:
a Python profiler;
remote development;
database tools;
*****Visual Studio Code is a complete code editor developed by Microsoft. While it has many premium features and is customizable, it has a clear and easy UX, and installing new extensions is beyond easy.
Visual Studio Code provides:
syntax highlighting,
bracket-matching,
auto-indentation,
box-selection,
built-in support for IntelliSense code completion,
rich semantic code understanding and navigation,
code refactoring tools,
a debugger. 
Sublime Text 3 (ST3) is a lightweight, cross-platform code editor known for its speed, ease of use, and strong community support. It's an incredible editor right out of the box, but the real power comes from the ability to enhance its functionality using Package Control and creating custom settings.
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Webinar on *Artificial Intelligence &Machine Learning* in association with Pantech E Learning and *Sri Ramakrishna Institute of Technology*

*Schedule* :

31st May 2021

Timing : 11:00 am to 12:00 pm

Live link : https://bit.ly/3v3SUNQ

*Upcoming webinar registration link* : https://www.pantechelearning.com/webinars/

Attendance form is mandatory to avail the certificate

Why Is Python Programming Considered the Top Language?

The list of programming languages is so massive that it’s natural for people to have widely different opinions about which one is “the best one”. Obviously, it all depends on the project at hand, so to claim a language as superior to all the rest feels weird. Yet, that doesn’t mean that there aren’t programming languages that are universally revered and favored. Among them, Python might be the most popular one.
Python is undoubtedly considered a top programming language at the same level as JavaScript or C++, and it’s one of the most used languages by businesses and enterprises. Even though it’s almost 30 years old, Python is still relevant, given its ease of use, its vibrant community, and many applications. Those characteristics should be enough to support the claim as a top programming language, but let’s dive a little more into it to understand Python’s value truly. @pantechelearning
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What is TensorFlow?

TensorFlow is an open-source end-to-end platform for creating Machine Learning applications. It is a symbolic math library that uses dataflow and differentiable programming to perform various tasks focused on training and inference of deep neural networks. It allows developers to create machine learning applications using various tools, libraries, and community resources.
Currently, the most famous deep learning library in the world is Google's TensorFlow. Google product uses machine learning in all of its products to improve the search engine, translation, image captioning or recommendations.

To give a concrete example, Google users can experience a faster and more refined the search with AI. If the user types a keyword a the search bar, Google provides a recommendation about what could be the next word.
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Pandas is a Python library used for working with data sets. It has functions for analyzing, cleaning, exploring, and manipulating data. The name "Pandas" has a reference to both "Panel Data", and "Python Data Analysis" and was created by Wes McKinney in 2008.
Pandas has been one of the most popular and favourite data science tools used in Python programming language for data wrangling and analysis. Data is unavoidably messy in real world. And Pandas is seriously a game changer when it comes to cleaning, transforming, manipulating and analyzing data.
It provides high-performance, easy to use structures and data analysis tools. Unlike NumPy library which provides objects for multi-dimensional arrays, Pandas provides in-memory 2d table object called Dataframe.
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IoT solutions are focused on helping farmers close the supply demand gap, by ensuring high yields, profitability, and protection of the environment. The approach of using IoT technology to ensure optimum application of resources to achieve high crop yields and reduce operational costs is called precision agriculture. IoT in agriculture technologies comprise specialized equipment, wireless connectivity, software and IT services.

Smart farming based on IoT technologies enables growers and farmers to reduce waste and enhance productivity ranging from the quantity of fertilizer utilized to the number of journeys the farm vehicles have made, and enabling efficient utilization of resources such as water, electricity, etc. IoT smart farming solutions is a system that is built for monitoring the crop field with the help of sensors (light, humidity, temperature, soil moisture, crop health, etc.) and automating the irrigation system. The farmers can monitor the field conditions from anywhere. 
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At the beginning of the internet, we had access to e-mails, all concepts were new to those who depended on post offices, telephones (we called the first phase).
A rapid change in the era of Information technology always keeps on growing and is always bringing new changes in Computer in the Cloud, SaaS, Web 3.0 and now, Cloud computing is a trend which is integral to Web 2.0 which bring all sorts of user data as well as operating systems online and this makes it unnecessary to use storage devices enabling content sharing platform with web access.
Some Advantages Of This Trend Are:
In most cases the user does not have to worry about the operating system and hardware that is being  used.
The corporate job and file sharing become easier, since all the information is in the same “place“, or the “cloud computing solutions“;
It is easy to imagine that we came from a generation of services. The difference between Web 2.0 and Web 3.0 is that, with the concept of the web as a platform, involving applications in social networks, and IT, this term is new for the web and just because of that, it is hard to update the technical specifications, but a change in how it is perceived by users and developers is an environment for interaction and participation which today encompasses numerous languages and call the second phase.
Now we are in the era of stage or semantic web where we intend to make use of networks in an intelligent manner, approaching the world of artificial intelligence. @pantechelearning
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Data science and machine learning are both very popular buzzwords today. These two terms are often thrown around together but should not be mistaken for synonyms. Although data science includes machine learning, it is a vast field with many different tools.
Data science is a broad, interdisciplinary field that harnesses the widespread amounts of data and processing power available to gain insights. One of the most exciting technologies in modern data science is machine learning. Machine learning allows computers to autonomously learn from the wealth of data that is available.
The applications of these technologies are vast, but not unlimited. Though data science is powerful, it only works if you have highly skilled employees and quality data. 
How is all the big data analyzed? Fine, the machine learns on its own through machine learning algorithms – but how? Who gives the necessary inputs to a machine for creating algorithms and models? No points for guessing that it is data science. Data Science is a uses different methods, algorithms, processes, and systems to extract, analyze and get insights from data.
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*Certificates are uploaded & ready for downloading*

Certificate download link is available in our 📌*Instagram page BIO*📌

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10 Essential Python Tips And Tricks For Programmers
Python  is one of the most preferred languages out there. Its brevity and high readability makes it so popular among all programmers.
So here are few of the tips and tricks you can use to bring up your Python programming game.
Stay tuned for more tricks and tips @pantechelearning
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Trick two.. Save for your future reference. For more updates stay tuned.
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📢📢📢 Today 04th June Morning Session on *Communication with MATLAB in association with JAIN University, Bglr* Reg Link : https://www.pantechelearning.com/webinar-on-communication-with-matlab-jain/

📢📢📢 Today 04th June Afternoon webinar on *Story telling using visualization. Host college: PCCOE Ravet, Pune* Reg link : https://www.pantechelearning.com/webinar-on-storytelling-using-visualization/

Please do forward it to your friends also....
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