Learning Programming
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🔅 Learning Node.js
🌐 Author: Alexander Zanfir
🔰 Level: Beginner
⏰ Duration: 2h 1m
🌀
Learn the basics of Node.js—a lightweight JavaScript-based platform—and how to build a simple application.
📗 Topics: Node.js
📤 Join Learn JavaScript for more courses8 027
🔅 Integrating Generative AI into JavaScript Web Projects
🌐 Author: Sandy Ludosky
🔰 Level: Intermediate
⏰ Duration: 2h 25m
🌀 Get started integrating cutting-edge generative AI technologies into JavaScript web development projects.📗 Topics: Web Development, Generative AI, JavaScript 📤 Join Learn JavaScript for more courses
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🔅 Introduction to Data Science
🌐 Author: Lavanya Vijayan
🔰 Level: Beginner
⏰ Duration: 2h
🌀 Get to know the exciting world of data science in this beginner-friendly course.📗 Topics: Data Science
8 027
🔅 Programming Foundations: Beyond the Fundamentals
🌐 Author: Sasha Vodnik
🔰 Level: Beginner
⏰ Duration: 2h 6m
🌀 Dive deeper into the foundational concepts, practices, and terminology of programming. Learn how to work with collections, use external code, find and fix bugs, and more.📗 Topics: Programming
8 027
🔐 Hash a Password with Python
Secure your passwords by hashing them with Python and the hashlib library!
First, install the necessary module:
pip install hashlib
Then, use this script:
import hashlib
# https://t.me/LearnPython3
def hash_password(password):
# Create a new sha256 hash object
hash_obj = hashlib.sha256()
# Update the hash object with the bytes of the password
hash_obj.update(password.encode('utf-8'))
# Return the hexadecimal representation of the hash
return hash_obj.hexdigest()
password = 'mypassword'
hashed_password = hash_password(password)
print(hashed_password)
Ensure your passwords are secure by hashing them before storing!
📱 Join us for more Python tips: @LearnPython38 027
⌨️ Benefits of learning Python Programming
1. Web Development: Python frameworks like Django and Flask are popular for building dynamic websites and web applications.
2. Data Analysis: Python has powerful libraries like Pandas and NumPy for data manipulation and analysis, making it widely used in data science and analytic.
3. Machine Learning: Python's libraries such as TensorFlow, Keras, and Scikit-learn are extensively used for implementing machine learning algorithms and building predictive models.
4. Artificial Intelligence: Python is commonly used in AI development due to its simplicity and extensive libraries for tasks like natural language processing, image recognition, and neural network implementation.
5. Cybersecurity: Python is utilized for tasks such as penetration testing, network scanning, and creating security tools due to its versatility and ease of use.
6. Game Development: Python, along with libraries like Pygame, is used for developing games, prototyping game mechanics, and creating game scripts.
7. Automation: Python's simplicity and versatility make it ideal for automating repetitive tasks, such as scripting, data scraping, and process automation.
