• OSINT ( Google operators list )
    • Burp Suite Cheat sheet
    • John the ripper Cheat Sheet
    • Metasploit cheat sheet
    • Nmap cheat sheet
    • Snort cheat sheet
    • SQL Injection cheat sheet
    • SSL/TLS Vulnerability Cheat Sheet
    • TCPdump Cheatsheet
    • Wireshark Cheat sheet
    • A beginner's guide to the Elixir programming language
    • A Deep Dive into Pheonix Framework
    • Build a CLI Todo List using Elixir
    • Client-server communication with GenServer
    • Concurrency in Elixir with OTP
    • Create A Simple Web Server using Elixir
    • File Word Counter
    • Simple state management with agents
    • Testing in Elixir with ExUnit
    • Using Docker and Elixir
    • Using Ecto for Database Interactions
    • A Getting Started Guide With Elm
    • Core Concepts in Elm
    • Create a Simple Registration Form
    • Error Handling in Elm
    • huCreating a Random Quotes App in Elm
    • Package Manager in Elm
    • The Elm Architecture
    • Working with HTTP Requests
    • A Getting Started Guide with Erlang
    • Binaries in Erlang Programming Language
    • Concurrency and Process Management in Erlang
    • Connecting to SQL Databases Using Erlang's ODBC Library
    • Distributed Programming
    • Macros in Erlang Programming Language
    • Modules in Erlang Programming Language
    • Pattern Matching in Erlang
    • Practical Applications and Best Practices
    • Understanding Erlang's OTP Framework
    • Web Programming in Erlang
    • Build a Text Summarizer using MERN
    • Building a Note-Taking Application with Rust and React
    • Building an Expense Tracker with Rust and React
    • Creating a Simple Chat Application using Go and React
    • Creating a Simple Chat Application using Go and React
    • Job Description Summarizer with Streamlit and OpenAI
    • Progress Tracker using React and Local Storage
    • Simple Password Validator using React + Go
    • Task Manager using Django and React
    • Advanced Error Handling in Go
    • Building Microservices with Go
    • Efficient Go Programming
    • Exploring Advanced Features of Go
    • Exploring Channels in Go
    • Exploring Functions in Go
    • Getting Started with Go
    • Master the Basics of Go
    • Mastering Concurrency in Go with Goroutines
    • Mastering Testing in Go
    • Understanding Structs and Interfaces in Go
    • Using Databases in Go
    • Working with Collections in Go
    • Building a Real-World Haskell Application
    • Diving Deeper into Haskell Functions
    • Effective Error Handling in Haskell
    • Effective Testing and Debugging in Haskell
    • Exploring Advanced Data Types in Haskell
    • Exploring Functional Design Patterns in Haskell
    • Exploring Haskell Syntax and Basic Concepts
    • Harnessing Concurrency and Parallelism in Haskell
    • Interfacing Databases with Haskell
    • Introduction to Haskell
    • Mastering Haskell’s Module System for Efficient Code Organization
    • Mastering List Operations in Haskell
    • Monad Magic in Haskell
    • Understanding Type Classes and Polymorphism in Haskell
    • A Getting started guide with HTMX
    • AJAX in HTMX
    • Caching
    • htmx usage with Django
    • Other hx-Attributes
    • Security in HTMX
    • Web Security Basics using HTMX
    • Web Socket and SSE
    • A simple Huff Program to Determine Even Number
    • An Introduction to Huff
    • Creating a Huff Contract for Signature Verification
    • Creating a Token With Huff
    • Hello World using Huff
    • Reversing Calldata with Huff: A Step-by-Step Tutorial
    • Some Advanced Features With Huff
    • Testing and Deploying Huff Contracts
    • Understanding Huff Macros
    • A Getting Started Guide with Julia
    • Asynchronous Programming with Julia
    • Basic Calculator with Julia
    • Learn About Advanced Features with Julia
    • Modules in Julia
    • Multi-Thread Programming with Julia
    • Object Oriented Programming with Julia
    • Scientific Computing with Julia
    • An Introduction to keras
    • Deploying Keras Models
    • Model evaludation and prediction in keras(Advanced)
    • Model Tuning and Optimization Techniques in Keras
    • Modules in keras
    • Training models on arbitrary data sources
    • Writing cross-framework custom components
    • A Getting Started Guide to Mojo
    • Data Types, Variables, and Operators in Mojo
    • Functions in Mojo
    • Interoperability with Python
    • Modules and Packages in Mojo
    • Object-Oriented Programming (OOP) Concepts in Mojo
    • An Introduction to Nim
    • Basic data types in Nim
    • Channels in Nim
    • Concurrency in Nim
    • Containers and Procedures in Nim
    • Control flow in Nim
    • Modules in Nim
    • Nim Macros: A Comprehensive Tutorial
    • Object-Oriented Programming in Nim
    • Parallelism in Nim
    • Advanced Array Manipulation with NumPy
    • An Introduction to NumPy
    • Applications and Advanced Numpy Concepts
    • Indexing and Slicing In Numpy
    • Linear Algebra with NumPy
    • NumPy Broadcasting
    • NumPy Operations
    • Random Number Generation and Sampling with NumPy
    • Advanced Concepts in OCaml
    • An Introduction to OCaml: A Versatile Programming Language
    • Core Concepts in OCaml
    • Error Handling in OCaml
    • File Manipulation in OCaml
    • Handling Command-Line Arguments in OCaml
    • Working with the Garbage Collector in OCaml
    • Advanced Data Aggregation and Grouping in Pandas
    • An Introduction to Pandas
    • Extending Pandas with PyArrow: Enhanced Functionality and Performance
    • How to Clean Data using Pandas
    • Indexing and Selection of Data in Pandas
    • Introduction to Data Structures in Pandas
    • Time Series Analysis with Pandas
    • Viewing and Understanding Dataframes
    • Windowing Operations in Pandas
    • Working with Missing Data in Pandas
    • Comprehensive Guide to Testing in Python: Unit Tests and Mocking Techniques
    • Demystifying Python Decorators: Enhancing Functionality with Decorators
    • Effective Error Handling in Python: Try-Except Blocks and Finally Clause
    • Efficient File Handling in Python: Reading, Writing, and Path Management
    • Essentials of Python for Machine Learning: Libraries, Concepts, and Model Building
    • Exploring Advanced Data Structures in Python: Collections and Priority Queues
    • Exploring Python Operators: Arithmetic, Comparison, and Logical Operations
    • Introduction to Python
    • Mastering Concurrency and Parallelism in Python: Threading, Multiprocessing, and Asyncio
    • Mastering Control Structures in Python: If Statements, Loops, and More
    • Mastering Dictionaries and Sets in Python: Comprehensive Guide to Data Handling
    • Mastering Object-Oriented Programming in Python: Classes, Inheritance, and Polymorphism
    • Mastering String Manipulation in Python: Operations, Methods, and Formatting
    • Mastering the Basics: Python Syntax, Indentation, and Comments
    • Python Modules and Packages: Importing Essentials and Exploring Standard Libraries
    • Understanding Functions in Python: Definitions, Parameters, Returns, and Scope
    • Understanding Iterators and Generators in Python: Leveraging Yield for Efficient Code
    • Understanding Python Variables and Data Types: From Basics to Type Conversion
    • Working with Lists and Tuples in Python: Creation, Access, and More
    • An Introduction to PyTorch
    • Deep Dive into PyTorch: Autograd and Neural Networks
    • Deep Dive into Tensors
    • Deploying PyTorch in Python via a REST API with Flask
    • Model Training and Evaluation
    • PyTorch: Data Loading and Preprocessing
    • Transferr Learning in Pytorch
    • Writing a training loop from scratch in PyTorch
    • Advanced Enums and Pattern Matching in Rust
    • Basic Concepts in Rust
    • Building a Robust CLI Tool with Rust
    • Control Flow in Rust
    • Control Flow in Rust
    • Effective Testing Strategies in Rust
    • Exploring Advanced Types in Rust: Structs and Enums
    • Getting Started with Rust
    • Integrating Rust with Other Languages: FFI and Safe Abstractions
    • Leveraging the Power of Slices in Rust
    • Mastering Collections in Rust: Vectors, HashMaps, and HashSets
    • Mastering Concurrency in Rust
    • Mastering Generic Types and Traits in Rust
    • Mastering Lifetime Management in Rust
    • Mastering Macros in Rust
    • Mastering References and Borrowing in Rust
    • Mastering Structs in Rust: Definition, Methods, and Usage
    • Robust Error Handling in Rust: Using Result and Option
    • Smart Pointers in Rust
    • Structuring Rust Projects: Modules and Crates Explained
    • Understanding and Using Unsafe Rust
    • Unlocking Asynchronous Programming in Rust
    • Your First Rust Program
    • Advanced Concepts in Scala
    • An Introduction to Scala
    • Exploring Arrays in Scala
    • Functional Programming in Scala
    • Future and Promises in Scala
    • Object-Oriented Programming in Scala
    • String Interpolation in Scala
    • Understanding Maps in Scala
    • An Introduction To Solidity
    • Build A Crowdfunding Contract with Solidity and ERC20 Tokens
    • Build a Remote Purchase Contract Using Solidity
    • Build a Voting Contract Using Solidity
    • Effective error handling in Solidity
    • Essential Gas Optimization Techniques in Solidity
    • How to Send and Receive Ether in Solidity
    • Learn About Reentracny Attacks and how to Prevent them
    • Learn How To Write Unit Tests In Solidity
    • Price Oracle Using Chainlink and Solidity
    • Solidity and ERC20 Tokens
    • Understandin Application Binary Interface (ABI) in Solidity
    • An Introduction to System Design
    • API Architecture: Design Best Practices for REST APIs
    • Database Sharding: Concepts and Examples
    • Deep Dive into WebSockets
    • NoSQL vs. SQL Databases: A Comprehensive Overview
    • The Difference Between TCP and UDP
    • The Domain Name System
    • Understanding a Reverse Proxy??
    • Understanding ACID Transactions in Database Systems
    • Understanding the Difference Between Throughput and Latency in Network Performance
    • Using Database Indexes for Improved Performance
    • What Is an API Gateway?
    • What is Caching?
    • What is Load Balancing?
    • A Getting Started guide to Technical Architecture: Principles and Best Practices
    • Choosing the Right Technology Stack for Your Project
    • Ensuring Security in Your Technical Architecture
    • Event-Driven Architecture
    • Implementing CI/CD Pipelines for Seamless Deployment
    • Microservices vs. Monolithic Architecture: Which One to Choose?
    • The Role of Cloud Services in Modern Technical Architecture
    • A getting started guide to Zig
    • Concurrency in Zig
    • DSA using Zig
    • Error Handling in Zig
    • Generics in Zig
    • Pointers in Zig
    • Stack Memory in Zig
    • System Programming in Zig
    • Third Party Dependencies in Zig
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      Julia

      Julia, a high-level, high-performance programming language, is designed for technical computing. It combines the simplicity of Python with the power of languages like C or Fortran. Julia is known for its impressive speed and is widely used in scientific computing, machine learning, data mining, large-scale linear algebra, and more.

      code

      A Getting Started Guide with Julia

      Julia, a high-level, high-performance programming language, is designed for technical computing

      code

      Asynchronous Programming with Julia

      Julia, a high-level, high-performance programming language, is designed for technical computing

      code

      Basic Calculator with Julia

      Julia, a high-level, high-performance programming language, is designed for technical computing

      code

      Learn About Advanced Features with Julia

      Julia, a high-level, high-performance programming language, is designed for technical computing

      code

      Modules in Julia

      Julia, a high-level, high-performance programming language, is designed for technical computing

      code

      Multi-Thread Programming with Julia

      Julia, a high-level, high-performance programming language, is designed for technical computing

      code

      Object Oriented Programming with Julia

      Julia, a high-level, high-performance programming language, is designed for technical computing

      code

      Scientific Computing with Julia

      Julia, a high-level, high-performance programming language, is designed for technical computing