ARAVIND G's starred repositories
Hacking-Resources
Brevi tutorial, risorse e spiegazioni per Ethical Hacking
Ethical-Hacking
Welcome to my GitHub repository where I've compiled a collection of Ethical Hacking notes based on my learning from various YouTube tutorials and resources. Dive into comprehensive insights covering reconnaissance, scanning, exploitation, and more. Join me as we explore the fascinating world of ethical hacking and cybersecurity.
EthicalHacking-tutorial
Hello Friend's Get Free Ethical Hacking Tutorial. More Free Course for Download My PlayStore Application!
Ethical-Hacking-Tutorials
Ethical-Hacking-Tutorials and Cyber-Security-Resources
cybersecurity-ethical-hacking
An ongoing collection of awesome ethical hacking tools, software, libraries, learning tutorials, frameworks, academic and practical resources
CEHv10-Notes
:closed_book: Both personal and public notes for EC-Council's CEHv10 312-50, because it's thousands of pages/slides of boredom, and a braindump to many
Ethical-Hacking-Labs
Practical Ethical Hacking Labs 🗡🛡
OrchardCore
Orchard Core is an open-source modular and multi-tenant application framework built with ASP.NET Core, and a content management system (CMS) built on top of that framework.
Attendance-Management-System
An online attendance portal with individual login facility for teachers as well as students.
ethereum-brute-force
Brute force generating ethereum private keys and check them against known addresses.
HotelReservationApp
Graduation Project - Asp.net - Mvc - Bootstrap - Html/Css - With Admin Panel
Ado.Net-Asp.Net-Admin-Panel-Open-Source-Project
Asp.Net Admin Panel Open Source Project
Event-Promotion-Web-App
Event management system with admin panel
Multithread-Bitcoin-Brute-Force
Generate random private keys for Bitcoin P2PKH or legacy address wallets and check if they match any of the addresses
mini-projects
This repository contains my mini projects on any programming languages I am currently learning.
python-tutorial
A beginner-friendly tutorial for learning Python programming from scratch. Covers basic concepts with practical examples and exercises. Suitable for students, hobbyists, and aspiring programmers. Join us and let's learn Python together!
pandas_basic_data_analysis_tutorial
A tutorial for basic data analysis with Pandas and Python. Designed to help people move from Excel to Pandas. Uses an SEO example.
open-cv-tutorials
Learn open-cv with this step by step tutorial and basic operations
Machine-Learning-Basics
Tutorial on Machine Learning Basics with Python
Python-Basic-programs
What is Python? Executive Summary Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed. Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective. What is Python? Python is a popular programming language. It was created by Guido van Rossum, and released in 1991. It is used for: web development (server-side), software development, mathematics, system scripting. What can Python do? Python can be used on a server to create web applications. Python can be used alongside software to create workflows. Python can connect to database systems. It can also read and modify files. Python can be used to handle big data and perform complex mathematics. Python can be used for rapid prototyping, or for production-ready software development. Why Python? Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc). Python has a simple syntax similar to the English language. Python has syntax that allows developers to write programs with fewer lines than some other programming languages. Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick. Python can be treated in a procedural way, an object-oriented way or a functional way. Good to know The most recent major version of Python is Python 3, which we shall be using in this tutorial. However, Python 2, although not being updated with anything other than security updates, is still quite popular. In this tutorial Python will be written in a text editor. It is possible to write Python in an Integrated Development Environment, such as Thonny, Pycharm, Netbeans or Eclipse which are particularly useful when managing larger collections of Python files. Python Syntax compared to other programming languages Python was designed for readability, and has some similarities to the English language with influence from mathematics. Python uses new lines to complete a command, as opposed to other programming languages which often use semicolons or parentheses. Python relies on indentation, using whitespace, to define scope; such as the scope of loops, functions and classes. Other programming languages often use curly-brackets for this purpose. Applications for Python Python is used in many application domains. Here's a sampling. The Python Package Index lists thousands of third party modules for Python. Web and Internet Development Python offers many choices for web development: Frameworks such as Django and Pyramid. Micro-frameworks such as Flask and Bottle. Advanced content management systems such as Plone and django CMS. Python's standard library supports many Internet protocols: HTML and XML JSON E-mail processing. Support for FTP, IMAP, and other Internet protocols. Easy-to-use socket interface. And the Package Index has yet more libraries: Requests, a powerful HTTP client library. Beautiful Soup, an HTML parser that can handle all sorts of oddball HTML. Feedparser for parsing RSS/Atom feeds. Paramiko, implementing the SSH2 protocol. Twisted Python, a framework for asynchronous network programming. Scientific and Numeric Python is widely used in scientific and numeric computing: SciPy is a collection of packages for mathematics, science, and engineering. Pandas is a data analysis and modeling library. IPython is a powerful interactive shell that features easy editing and recording of a work session, and supports visualizations and parallel computing. The Software Carpentry Course teaches basic skills for scientific computing, running bootcamps and providing open-access teaching materials. Education Python is a superb language for teaching programming, both at the introductory level and in more advanced courses. Books such as How to Think Like a Computer Scientist, Python Programming: An Introduction to Computer Science, and Practical Programming. The Education Special Interest Group is a good place to discuss teaching issues. Desktop GUIs The Tk GUI library is included with most binary distributions of Python. Some toolkits that are usable on several platforms are available separately: wxWidgets Kivy, for writing multitouch applications. Qt via pyqt or pyside Platform-specific toolkits are also available: GTK+ Microsoft Foundation Classes through the win32 extensions Software Development Python is often used as a support language for software developers, for build control and management, testing, and in many other ways. SCons for build control. Buildbot and Apache Gump for automated continuous compilation and testing. Roundup or Trac for bug tracking and project management. Business Applications Python is also used to build ERP and e-commerce systems: Odoo is an all-in-one management software that offers a range of business applications that form a complete suite of enterprise management applications. Try ton is a three-tier high-level general purpose application platform.
PythonBasicSessions
Auribises Summer Training - Python & Machine Learning Tutorials
Python-Practical-Application-on-Climate-Variability-Studies
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.
PythonRobotics
Introductory Algorithms, Tutorials and Basic python codes for getting started in Robotics
quiz-application
Quiz Application in Python (mini project)
Reactjs-Tutorial
Reactjs tutorial
reactjs-springboot-mysql
Implement Frontend Reactjs in tutorial : "Reactjs SpringBoot MySQL CRUD Example"
nodejs-reactjs-mongodb-crud
React.js Node.js MongoDB CRUD Example