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PASSWORD GENERATOR IN PYTHON import random import string LETTERS = string.ascii_letters NUMS '0123456789' SPE='+*%&$!_! SYMBOLS LETTERS + NUMS + SPE len = int(input("ENTER PASS. LENGTH:")) password = ".join(random.sample( SYMBOLS, len)) print(password)

PASSWORD GENERATOR IN PYTHON
import random

import string

LETTERS = string.ascii_letters

NUMS '0123456789'

SPE='+*%&$!_!

SYMBOLS LETTERS + NUMS + SPE

len = int(input("ENTER PASS. LENGTH:"))

password = ".join(random.sample(

SYMBOLS, len))

print(password)
by - @stranger_0_0

Email Bomber Using Python No Copyright Infringement Intended, All The Credits & Rights Reserved to the Actual Owner

Preparation guide to learn SQL 👇👇 👉 Start from the scratch: Learn about the structure of databases and the basic syntax of SQL, including data types, tables, and operations like SELECT, FROM, WHERE, etc. 👉 Get hands-on experience: Try writing simple SQL queries on your own and practice working with real data. You can find sample databases from websites like https://mode.com/sql-tutorial/introduction-to-sql 👉 Study relational databases: SQL is most commonly used to work with relational databases, so learn about the theory and principles of relational databases, such as primary keys, foreign keys, normalization, etc. 👉 FREE LEARNING RESOURCES You can learn about SQL for free in interesting way from here https://t.me/bca_programmer/129 👉 Practice, practice, practice: The more you practice, the better you will become at using SQL. Try to work on projects that interest you and challenge yourself to solve more complex problems. 👉 Try different database management systems: There are many different database management systems that use SQL, such as MySQL, Oracle, Microsoft SQL Server, etc. Try working with a few different systems to get a feel for the similarities and differences between them. 👉 Learn SQL commands: Familiarize yourself with the different SQL commands and how they are used, including SELECT, INSERT, UPDATE, DELETE, etc. 👉 Use SQL in real-world projects: Try to find ways to use SQL in real-world projects, such as building a database for a small business or analyzing data for a research project. 👉 Collaborate with others: Find a study group or collaborate with others who are also learning SQL. Working together on projects and discussing your learning experiences can help you stay motivated and deepen your understanding of the language. @bca_programmer

Javascript Full Course in One Video | Full Tutorial for Beginners to Expert [Hindi] ✖️ @HackingInsights ✖️

C Language Tutorial For Beginners In Hindi ✖️ @HackingInsights ✖️

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C# in 4 Hours full course📡

C# in 4 Hours full course📡 Posted by @TheGodEye

Anyone good in telegram bot development....? Tell me in comment section

Bug Bounty 1. Introduction to Security You're here to break things before anyone else does, so that vulnerabilities can be fixed before attackers get to them. To do that, you need to understand how attackers operate, what their goals are, and how they think. 2_Thinking Like A Breaker The most important tenet of the breaker mindset is this: pushing a button is the most effective way to discover what it does. If you don't understand what an application is doing and why it's doing it, you're going to have a hard time finding ways to break it. Imbalance The key difference between defending and attacking is this: Defenders have to find every bug; attackers only need to find a few. This means that attackers will always have the advantage over defenders. The primary consequence of this imbalance is that you will never find every bug, especially under time pressure. This means you have to prioritize to ensure that where there are still bugs, the impact will be relatively low. Making an accurate assessment of high-risk areas is critical. 3. Attacker Goals When assessing an application, find every bit of functionality you can. Once you have a rough list of all of the bits of the application, consider this: if I was an attacker, what would my goal be? Maybe I'd want credit card numbers from an ecommerce site; maybe I'd want to destroy or falsify data in a server monitoring application. 4.Prioritization Once you have a good picture of what an attacker might want, you can start to rank areas of the application in terms of payoff: if I compromise area X, does that give me low-value information or high-value? What about Y instead? When possible, asking developers the question "what keeps you up at night?" will often point to areas to check. By Professor

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📌12 Skills With high Demand in 2023 1. Project Management 2. Photoshop 3. SEO/Google Analytics 4. Facebook Ads 5. Web Development 6. App Development 7. Coding 8. Copywriting 9. Public Speaking 10. Excel Knowledge 11. UX Design 12. Social Media Marketing

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UBoat HTTP Botnet 💢The main objective behind creating this offensive project was to aid security researchers and to enhance the understanding of commercial HTTP loader style botnets. Features [⭐]Written in C++ with no dependencies. [⭐]Encrypted C&C communications. [⭐]Persistence to prevent your control from being lost. [⭐]Connection redundancy. [⭐]Task Creation System. [⭐]Remote command execution. [⭐]Update and uninstall other malware. [⭐]Download and execute other malware. [⭐]Active as well as a passive key-logger. [⭐]Enable Windows RDP. [⭐]Plugin system for easy feature updates.

Friens please subscribe new channel i deleted old channel because of some reasons "Zedsecworld" on YouTube https://youtube.com/@Zedsecworld2 And help me to unlock YouTube algorithm Regard :- @stranger_0_0

Create Calculator In 1 Line in python 🫡 print(eval(input("Enter Any Equation : " )))

rmCommonly used Python libraries are: 👉🏻NumPy: This library is used for scientific computing and working with arrays of data. It provides functions for working with arrays of data, including mathematical operations, linear algebra, and random number generation. 👉🏻Pandas: This library is used for data manipulation and analysis. It provides tools for importing, cleaning, and transforming data, as well as tools for working with time series data and performing statistical analysis. 👉🏻Matplotlib: This library is used for data visualization. It provides functions for creating a wide range of plots, including scatter plots, line plots, bar plots, and histograms. 👉🏻Scikit-learn: This library is used for machine learning. It provides a range of algorithms for classification, regression, clustering, and dimensionality reduction, as well as tools for model evaluation and selection. 👉🏻TensorFlow: This library is used for deep learning. It provides a range of tools and libraries for building and training neural networks, including support for distributed training and hardware acceleration.

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