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hello world!!!πŸ‘‹

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Lets talk code! πŸ‘¨β€πŸ’»

try:

if  pubKey == True:
    print('AE60 C3A0 CB5B 6B33')
if  pronouns == True:
    print('He | Him')
if about == True:
    print('Majoring in Computer Science and Mathematics from the University of Delhi.')
elif languages == True:
    print('Java, C++, Python, HTML, CSS, SQL, Shell Scripting')
elif operatingSystems == True:
    print('Linux, Windows')
elif framework == True:
    print('Metasploitable, Node.js')
elif mathematicalAnalysis == True:
    print('wxMaxima')
elif tools == True:
    raise ToolsError
elif games == True:
    raise MemoryError

except MemoryError:

print('MINECRAFT! Join me on Discord Server ↓') @_@

except ValueError:

print('Garbage values found!') O_o

except ToolsError:

print('', '', '', '', '')

else:

πŸ’¬ Ask me about ...
Cryptography, Cybersecurity, Penetration Testing, BugBounty Hunting and Ethical Hacking.

finally:

πŸ“« How to reach me: ...
linkedin twitter stackoverflow facebook instagram instagram


GitHub stats

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Shubhang Gupta's Projects

cpp-file icon cpp-file

The file of Discrete Structures of I year II semester

cyberithm icon cyberithm

This repository contains tools written in any language (preferably python/java/C/C++) in digital forensics or in cybersecurity domain.

dsawithpython icon dsawithpython

The questions and solutions of Coding Ninjas' course DSA with Python

du-codata icon du-codata

Code for BSc. (Hons.) Computer Science, University of Delhi.

hacktoberfest icon hacktoberfest

Participate in Hacktoberfest. Learn and get started. Contribute to open source. Make sure your pull requests are legitimate. Enjoy and have fun.

hacktoberfest-2020 icon hacktoberfest-2020

Make this Hacktoberfest a learning period and contribute to Great Open Source Projects.

hacktoberfest2020 icon hacktoberfest2020

A repo for new open source contributers to begin with open source contribution. Contribute and earn awesome swags.

hacktoberfest2020-2 icon hacktoberfest2020-2

Participate in Hacktoberfest. Learn and get started. Contribute to open source. Make sure your pull requests are legitimate. Enjoy and have fun.

hacktoberfest2020-3 icon hacktoberfest2020-3

Make your first PR! ~ A beginner-friendly repository. Add your profile, a blog, or any program under any language (it can be anything from a hello-world program to a complex data structure algorithm) or update the existing one. Just make sure to add the file under the correct directory. Happy hacking!

hacktoberfest2020-contributions icon hacktoberfest2020-contributions

A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨

handson-data-analysis-and-ml icon handson-data-analysis-and-ml

Over the past decade, bicycle-sharing systems have been growing in number and popularity in cities across the world. Bicycle-sharing systems allow users to rent bicycles on a very short-term basis for a price. This allows people to borrow a bike from point A and return it at point B, though they can also return it to the same location if they'd like to just go for a ride. Regardless, each bike can serve several users per day. Thanks to the rise in information technologies, it is easy for a user of the system to access a dock within the system to unlock or return bicycles. These technologies also provide a wealth of data that can be used to explore how these bike-sharing systems are used. In this project, you will use data provided by Motivate, a bike share system provider for many major cities in the United States, to uncover bike share usage patterns. You will compare the system usage between three large cities: Chicago, New York City, and Washington, DC. Day:1 In this project, Students will make use of Python to explore data related to bike share systems for three major cities in the United Statesβ€”Chicago, New York City, and Washington. You will write code to import the data and answer interesting questions about it by computing descriptive statistics. They will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics. Technologies that will be covered are Numpy, Pandas, Matplotlib, Seaborn, Jupyter notebook. We will be giving the students a deep dive into the Data Analytical process Day:2 We will be giving the students an insight into one of the major fields of Machine Learning ie. Time Series forcasting we will be taking them through the relevant theory and make them understand of the importance and different techniques that are available to deal with it. After that we will be working hands on the bike share data set implementing different algorithms and understanding them to the core We aim to provide students an insight into what exactly is the job of a data analyst and get them familiarise to how does the entire data analysis process work. The session will be hosted by Shaurya Sinha a data analyst at Jio and Parag Mittal Software engineer at Microsoft.

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