Merge branch 'main' into main

Author: ajay-dhangar

deployment-app.yml

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+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  # Unique key of the Deployment instance
+  name: my-node-app
+spec:
+  # 2 Pods should exist at all times.
+  replicas: 2
+  selector:
+    matchLabels:
+      app: node-app
+  template:
+    metadata:
+      labels:
+        # Apply this label to pods and default
+        # the Deployment label selector to this value
+        app: node-app
+    spec:
+      containers:
+        - name: node-app
+          # Run this image
+          image: #put your image name which you push in dockerhub

docs/Julia/Basicop.md

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+---
+id: operator-julia
+title: Operator
+sidebar_label: Julia Operator
+sidebar_position: 3
+tags: [Julia, Operator, Datatype,Scope]
+---
+
+Operators are special symbols or keywords that are used to perform operations on variables and values. Julia supports a variety of operators, including arithmetic, comparison, logical, bitwise, and more. Here’s a detailed overview of the different types of operators available in Julia:
+
+### 1. Arithmetic Operators
+
+These operators are used to perform basic mathematical operations.
+
+- **Addition (`+`)**: Adds two operands.
+  ```julia
+  a + b
+  ```
+- **Subtraction (`-`)**: Subtracts the second operand from the first.
+  ```julia
+  a - b
+  ```
+- **Multiplication (`*`)**: Multiplies two operands.
+  ```julia
+  a * b
+  ```
+- **Division (`/`)**: Divides the numerator by the denominator.
+  ```julia
+  a / b
+  ```
+- **Integer Division (`÷`)**: Divides and returns the integer quotient.
+  ```julia
+  a ÷ b
+  ```
+- **Remainder (`%`)**: Returns the remainder of the division.
+  ```julia
+  a % b
+  ```
+- **Power (`^`)**: Raises the first operand to the power of the second.
+  ```julia
+  a ^ b
+  ```
+- **Negation (`-`)**: Negates the value.
+  ```julia
+  -a
+  ```
+
+### 2. Comparison Operators
+
+These operators compare two values and return a Boolean value.
+
+- **Equal (`==`)**: Checks if two operands are equal.
+  ```julia
+  a == b
+  ```
+- **Not Equal (`!=` or `≠`)**: Checks if two operands are not equal.
+  ```julia
+  a != b
+  ```
+- **Greater Than (`>`)**: Checks if the first operand is greater than the second.
+  ```julia
+  a > b
+  ```
+- **Less Than (`<`)**: Checks if the first operand is less than the second.
+  ```julia
+  a < b
+  ```
+- **Greater Than or Equal To (`>=`)**: Checks if the first operand is greater than or equal to the second.
+  ```julia
+  a >= b
+  ```
+- **Less Than or Equal To (`<=`)**: Checks if the first operand is less than or equal to the second.
+  ```julia
+  a <= b
+  ```
+
+### 3. Logical Operators
+
+These operators are used to perform logical operations and return a Boolean value.
+
+- **Logical AND (`&&`)**: Returns true if both operands are true.
+  ```julia
+  a && b
+  ```
+- **Logical OR (`||`)**: Returns true if either operand is true.
+  ```julia
+  a || b
+  ```
+- **Logical NOT (`!`)**: Negates the Boolean value.
+  ```julia
+  !a
+  ```
+
+### 4. Bitwise Operators
+
+These operators perform bitwise operations on integer operands.
+
+- **Bitwise AND (`&`)**: Performs a bitwise AND operation.
+  ```julia
+  a & b
+  ```
+- **Bitwise OR (`|`)**: Performs a bitwise OR operation.
+  ```julia
+  a | b
+  ```
+- **Bitwise XOR (`⊻`)**: Performs a bitwise XOR operation.
+  ```julia
+  a ⊻ b
+  ```
+- **Bitwise NOT (`~`)**: Performs a bitwise NOT operation.
+  ```julia
+  ~a
+  ```
+- **Left Shift (`<<`)**: Shifts the bits of the first operand left by the number of positions specified by the second operand.
+  ```julia
+  a << b
+  ```
+- **Right Shift (`>>`)**: Shifts the bits of the first operand right by the number of positions specified by the second operand.
+  ```julia
+  a >> b
+  ```
+
+### 5. Element-wise Operators
+
+These operators perform element-wise operations on arrays.
+
+- **Element-wise Addition (`.+`)**: Adds corresponding elements of two arrays.
+  ```julia
+  A .+ B
+  ```
+- **Element-wise Subtraction (`.-`)**: Subtracts corresponding elements of two arrays.
+  ```julia
+  A .- B
+  ```
+- **Element-wise Multiplication (`.*`)**: Multiplies corresponding elements of two arrays.
+  ```julia
+  A .* B
+  ```
+- **Element-wise Division (`./`)**: Divides corresponding elements of two arrays.
+  ```julia
+  A ./ B
+  ```
+- **Element-wise Power (`.^`)**: Raises each element of the first array to the power of the corresponding element in the second array.
+  ```julia
+  A .^ B
+  ```
+
+### 6. Assignment Operators
+
+These operators are used to assign values to variables.
+
+- **Assignment (`=`)**: Assigns the right-hand side value to the left-hand side variable.
+  ```julia
+  a = b
+  ```
+- **Addition Assignment (`+=`)**: Adds the right-hand side value to the left-hand side variable and assigns the result to the left-hand side variable.
+  ```julia
+  a += b
+  ```
+- **Subtraction Assignment (`-=`)**: Subtracts the right-hand side value from the left-hand side variable and assigns the result to the left-hand side variable.
+  ```julia
+  a -= b
+  ```
+- **Multiplication Assignment (`*=`)**: Multiplies the left-hand side variable by the right-hand side value and assigns the result to the left-hand side variable.
+  ```julia
+  a *= b
+  ```
+- **Division Assignment (`/=`)**: Divides the left-hand side variable by the right-hand side value and assigns the result to the left-hand side variable.
+  ```julia
+  a /= b
+  ```
+
+### 7. Special Operators
+
+- **Range (`:`)**: Creates a range of numbers.
+  ```julia
+  1:10
+  ```
+- **Concatenation (`vcat`, `hcat`, `cat`)**: Concatenates arrays vertically or horizontally.
+  ```julia
+  vcat(A, B)
+  hcat(A, B)
+  ```
+
+### Custom Operators
+
+Julia also allows you to define your own operators. This is done by defining a function using a custom operator symbol.
+
+```julia
+import Base: +  # Import the Base operator
+
+# Define a custom addition operator for a custom type
++(a::MyType, b::MyType) = MyType(a.value + b.value)
+```
+
+### Conclusion
+
+Understanding and using operators effectively is crucial for writing efficient and readable Julia code. Each type of operator has its own set of rules and use cases, and mastering them can greatly enhance your programming skills in Julia.

docs/Julia/Intro.md

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+---
+id: intro-julia 
+title: Introduction to JULIA
+sidebar_label: Introduction to Julia
+sidebar_position: 1
+tags: [Julia, Feature, Uses]
+---
+ 
+Julia is a relatively new, open-source programming language gaining popularity for its unique blend of features. 
+
+## Basic Overview
+
+- **Developed in 2012**: Designed by a team at MIT, aiming to bridge the gap between ease of use (like Python) and speed (like C/C++).
+- **High-Level and Dynamic**: Similar to Python, Julia allows for interactive coding and dynamic typing (variable types determined at runtime).
+- **Just-in-Time (JIT) Compiled**: Improves performance by compiling code into machine code at runtime, approaching the speed of compiled languages like C.
+- **Multiple Dispatch**: Functions can have different implementations based on argument types, leading to concise and efficient code.
+
+## Features
+
+- **Rich Standard Library**: Julia includes built-in functionality for linear algebra, differential equations, scientific computing, and more.
+- **Powerful Metaprogramming**: Allows for creating custom functions and manipulating code structure at runtime.
+- **Excellent Package Ecosystem**: A rapidly growing collection of community-developed packages for various domains like machine learning, data science, and web development.
+- **Focus on Performance**: Designed for efficiency, making it ideal for computationally intensive tasks often found in scientific computing and data analysis.
+
+## Uses and Applications
+
+- **Scientific Computing**: Widely used for numerical simulations, modeling, and data analysis in physics, chemistry, biology, and other scientific fields.
+- **Machine Learning** :Growing popularity for implementing machine learning algorithms, building deep learning models, and conducting research in this area.
+- **Data Science** : Useful for data manipulation, cleaning, visualization, and statistical analysis, especially for large datasets.
+- **High-Performance Computing** : Leveraged for tasks requiring high computational power, such as financial modeling, weather forecasting, and climate simulations.
+- **Web Development** : While not its primary focus, Julia can be used for web development with frameworks like Genie.jl and web server integration tools.
+
+## Benefits
+
+- **Fast and Efficient** : Can handle complex calculations significantly faster than interpreted languages like Python.
+- **Easy to Learn and Use** : Syntax is similar to other popular languages, making it accessible for programmers with experience in Python, R, or MATLAB.
+- **Productive and Flexible** : Allows for rapid prototyping and efficient coding due to its features and rich ecosystem.
+- **Open-Source and Community-Driven** : Constant development and a growing community ensure continuous improvement and support.
+
+Overall, Julia is a powerful and versatile language well-suited for scientific computing, data science, machine learning, and other computationally intensive tasks. Its focus on performance, combined with its ease of use and rich ecosystem, makes it a valuable tool for researchers, scientists, and developers alike.

docs/Julia/_category_.json

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+{
+    "label": "Julia",
+    "position": 14,
+    "link": {
+      "type": "generated-index",
+      "description": "Julia is a powerful and versatile programming language gaining popularity for its focus on scientific computing, data science, and machine learning"
+    }
+}

docs/Julia/math.md

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+---
+id: math-julia
+title: Baic Maths Operations
+sidebar_label: Baic Maths Operations
+sidebar_position: 5
+tags: [Julia,Baic Maths Operations,constant]
+
+---
+Julia is a high-level, high-performance programming language known for its speed and simplicity in numerical and scientific computing. Let's delve into some basic mathematical functions in Julia .
+
+### Basic Arithmetic Operations
+
+Julia supports all basic arithmetic operations: addition, subtraction, multiplication, and division. Here’s how you can use them:
+
+```julia
+# Addition
+result_add = 10 + 5
+println("Addition:", result_add)  # Output: Addition: 15
+
+# Subtraction
+result_sub = 10 - 5
+println("Subtraction:", result_sub)  # Output: Subtraction: 5
+
+# Multiplication
+result_mul = 10 * 5
+println("Multiplication:", result_mul)  # Output: Multiplication: 50
+
+# Division
+result_div = 10 / 5
+println("Division:", result_div)  # Output: Division: 2.0
+```
+
+### Exponentiation and Square Root
+
+Julia provides functions for exponentiation (`^`) and square root (`sqrt()`):
+
+```julia
+# Exponentiation
+result_exp = 2 ^ 3
+println("Exponentiation:", result_exp)  # Output: Exponentiation: 8
+
+# Square root
+result_sqrt = sqrt(9)
+println("Square Root:", result_sqrt)  # Output: Square Root: 3.0
+```
+
+### Trigonometric Functions
+
+Julia includes standard trigonometric functions like `sin()`, `cos()`, and `tan()`. These functions expect arguments in radians:
+
+```julia
+# Trigonometric functions (radians)
+angle_rad = π / 4  # π (pi) is a predefined constant in Julia
+sin_value = sin(angle_rad)
+cos_value = cos(angle_rad)
+tan_value = tan(angle_rad)
+
+println("Sine:", sin_value)  # Output: Sine: 0.7071067811865476
+println("Cosine:", cos_value)  # Output: Cosine: 0.7071067811865476
+println("Tangent:", tan_value)  # Output: Tangent: 0.9999999999999999
+```
+
+### Logarithmic Functions
+
+Julia supports natural logarithm (`log()`) and base-10 logarithm (`log10()`):
+
+```julia
+# Logarithmic functions
+log_value = log(10)
+log10_value = log10(100)
+
+println("Natural Logarithm:", log_value)  # Output: Natural Logarithm: 2.302585092994046
+println("Base-10 Logarithm:", log10_value)  # Output: Base-10 Logarithm: 2.0
+```
+
+### Constants
+
+Julia provides constants like `π` (pi) and `e` (Euler's number):
+
+```julia
+println("π (pi):", π)  # Output: π (pi): 3.1415926535897...
+println("e (Euler's number):", ℯ)  # Output: e (Euler's number): 2.7182818284590...
+```
+
+### Example 
+
+```julia
+# Compute the area of a circle with radius 5
+radius = 5
+area = π * radius^2
+
+println("Radius:", radius)
+println("Area of the circle:", area)  # Output: Area of the circle: 78.53981633974483
+```
+
+These examples demonstrate some of the basic mathematical functions available in Julia. Julia’s simplicity and performance make it an excellent choice for scientific computing and numerical analysis tasks.