📜  github hacksofteare - Python (1)

📅  最后修改于: 2023-12-03 15:30:57.910000             🧑  作者: Mango

Github Hacksofteare - Python

Are you a Python programmer looking for ways to enhance your skills and improve your knowledge? Look no further than the Github Hacksofteare repository!

What is Github Hacksofteare?

Github Hacksofteare is a community-driven repository that provides a wealth of resources for Python developers. With code snippets, tutorials, and examples contributed by developers from around the world, you can learn new skills, solve problems, and get inspired to create amazing new projects.

How to Use Github Hacksofteare

Using Github Hacksofteare is easy. Simply visit the repository and browse through the collection of files and folders. You can search by keyword or topic to find the information and resources you need. You can also contribute your own code, tutorials, and examples to the repository to help others learn and grow.

Markdown Code

To include code snippets in your Markdown, use the following format:

print("Hello World!")
Python Example

Here is an example of a Python script from the Github Hacksofteare repository:

import numpy as np

def sigmoid(x):
    return 1 / (1 + np.exp(-x))

def predict(parameters, X):
    A = X
    for i in range(1, len(parameters) // 2):
        A_prev = A
        W = parameters['W' + str(i)]
        b = parameters['b' + str(i)]
        Z = np.dot(W, A_prev) + b
        A = sigmoid(Z)
    W = parameters['W' + str(len(parameters)//2)]
    b = parameters['b' + str(len(parameters)//2)]
    Z = np.dot(W, A) + b
    return sigmoid(Z)

parameters = {
    'W1': np.array([[-0.01973458, -0.43753406],
                    [-0.19745192,  0.24969783]]),
    'b1': np.array([[-0.12477469],
                    [ 0.2571196 ]]),
    'W2': np.array([[-0.15552471,  0.48447399]]),
    'b2': np.array([[-0.93002948]])
}

X = np.array([[1.96483459, 2.55408887]])
result = predict(parameters, X)
print(result)

This script demonstrates the use of a sigmoid function to predict an output from input data. By studying and modifying examples like this one, you can improve your Python programming skills and gain a deeper understanding of important concepts and techniques.

Conclusion

Whether you're a seasoned expert or just getting started with Python, Github Hacksofteare is an essential resource for any developer. With a vibrant community and a vast collection of code and tutorials, you're sure to find everything you need to take your skills to the next level. So what are you waiting for? Check it out today and start learning!