Kunal Arya's Projects
π 33 JavaScript concepts every developer should know.
Python programming basics cover advanced concepts such as lambda functions, map functions, list comprehensions, and object-oriented programming. These concepts allow for more efficient and powerful coding techniques, enabling developers to write concise and expressive code for complex operations.
Audio Slicer that uses silence detection to split .wav audio files into several .wav samples.
Django powered classified car ads website.
This repo includes ChatGPT prompt curation to use ChatGPT better.
The Python In-depth course provides a comprehensive understanding of advanced concepts and techniques in Python programming, equipping learners with the skills to build complex applications and solve real-world problems efficiently.
In this repository, I have demonstrated a deep understanding of web development through complex, well-structured code and comprehensive documentation. My in-depth knowledge is evident in the efficient and scalable solutions I have implemented, showcasing my expertise in the field.
Data science cheatsheets are concise and handy references that provide quick access to key concepts, formulas, and techniques used in the field of data science. These cheatsheets offer a streamlined way for data scientists to reinforce their knowledge, enhance problem-solving abilities, and speed up their analysis and modeling tasks.
As a data analyst, I have extensive experience in utilizing Python, SQL, and Excel to extract actionable insights from large datasets. I have used Python libraries such as Pandas and NumPy for data manipulation and analysis, SQL for querying databases, and Excel for creating visualizations and performing regression analysis.
In my project work in Data Analysis, I successfully analyzed large datasets from a retail company to identify patterns and optimize their inventory management system. Using statistical models and machine learning techniques, I uncovered valuable insights from healthcare data, helping medical professionals make more informed decisions outcomes
Flask development is the process of building web applications using the lightweight and flexible Flask framework in Python. It allows for rapid development of web applications with minimal boilerplate code.
Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. It follows the "Don't Repeat Yourself" (DRY) principle, aiming to make it easier to build web applications by providing many built-in features and functionalities.
Django Important Books
In this full bootcamp of web development, you will not only master HTML, CSS, JS, Bootstrap, jQuery, and React, but also gain practical experience through real-world projects, enabling you to build dynamic and responsive websites with ease and proficiency. With a comprehensive curriculum and experienced instructors.
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iOS development refers to the process of creating applications for Apple's mobile devices, such as iPhones and iPads. iOS apps are typically developed using the Swift or Objective-C programming languages and the Xcode development environment.
Java is used in a wide range of applications, from web development to mobile apps, enterprise systems, and even embedded systems. It is known for its strong emphasis on security and its extensive library of pre-built components, called the Java Development Kit (JDK), which makes it easier for developers to build complex applications.
"Comprehensive Java DSA course: Master data structures and algorithms. Learn through practical coding examples."
Explore a diverse range of JavaScript projects, from interactive web applications to dynamic data visualizations, showcasing the versatility and power of JavaScript programming.
Here is a list of comprehensive repositories, courses and topics for learning JavaScript with examples and exercises: 1. Mozilla Developer Network (MDN) JavaScript Guide: MDN offers a comprehensive JavaScript guide with detailed explanations, examples, and exercises. It covers everything from the basics to advanced topics like object-oriented prog
A jupyter notebook extension enabling users push ipython notebooks to a git repo
My repository is a showcase of my skills, where I share everything about myself and what I can do. It's a place where my talents and expertise shine.
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
"Embarking on an exciting journey into Machine Learning after mastering Python basics. Delving into ML algorithms and libraries to unlock endless possibilities. π #MachineLearning #Python"
Welcome to our GitHub repository! Here, you will find a collection of different Python applications that are designed to showcase various functionalities and programming concepts. From basic algorithms like binary search and a number guessing game, to more advanced applications like sending emails using Python and a medium article reader
The MERN stack is a popular technology stack for building web applications. It consists of four main components: MongoDB (a NoSQL database), Express.js (a web application framework for Node.js), React (a JavaScript library for building user interfaces), and Node.js (a JavaScript runtime).