I create modern UIs and web apps.
I'm a Software Engineer who simplifies problems and opportunities into intuitive interfaces using design and code.
Module Lead, Gurugram
SDE, Gurugram
Proficient in diverse programming languages and frameworks, prioritizing the development of optimized and scalable software solutions.
5+ years of expertise in Node.js, AWS, and React.js, driving holistic solutions merging design, strategy, management, and creative direction. Refined over almost half a decade, my skills encompass efficient workflows, communication finesse, and self-discipline.
JS (4 yrs exp)
85%
Nodejs (4 yrs exp)
85%
Python (2 yrs exp)
60%
In this tutorial, we will dive into the world of interactive data visualization using Plotly in Python. we will start by getting you up and running with Plotly. We will guide you through the installation process and show you how to import the necessary modules into your Python environment. Then, we will delve into the basics of Plotly charts, demonstrating step−by−step how to create line plots, bar charts, scatter plots, and more. So, let's get started!
Linux, an open-source operating system, is widely recognized for its robustness, security, and flexibility. While it offers a variety of graphical user interfaces, Linux's command-line interface, powered by the Bash shell, remains a favorite among power users and system administrators. Mastering Bash commands can significantly enhance your productivity and efficiency in a Linux environment.
If you are a cricket fan who uses Linux, you may be wondering how to keep track of live cricket scores on your terminal. Fortunately, there is a solution that can provide you with live updates without leaving the command line interface: Cricket-CLI.
Python is a popular programming language that is widely used for data analysis and scientific computing. It provides a vast range of libraries and tools that make data manipulation and analysis simpler and faster. One such library is Pandas, which is built on top of NumPy and provides easy−to−use data structures and data analysis tools for Python.
Video.js is a well-known online video player javascript library that is used for creating video players in the web browser for a variety of video formats. It supports all contemporary video formats such as YouTube, Vimeo, Flash, and others, as well as all common video playback formats such as mp4, WebM, Flv, and others. Apart from supporting a wide range of formats, video.js also provides a lot of functionality and flexibility to customize the video player as desired.
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