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Learning Programming

Learning Programming

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Our Telegram training channel is the perfect place for those looking to improve their skills and develop new programming knowledge. Our content is meticulously crafted by expert. Buy ads: https://telega.io/c/theprogramingcourses

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🔅 Learning Node.js 🌐 Author: Alexander Zanfir 🔰 Level: Beginner ⏰ Duration: 2h 1m 🌀 Learn the basics of Node.js—a lightwe
🔅 Learning Node.js 🌐 Author: Alexander Zanfir 🔰 Level: BeginnerDuration: 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 courses

📦 Exercise Files

📱Learn JavaScript 📱Integrating Generative AI into JavaScript Web Projects

🔅 Integrating Generative AI into JavaScript Web Projects 🌐 Author: Sandy Ludosky 🔰 Level: Intermediate ⏰ Duration: 2h 25m
🔅 Integrating Generative AI into JavaScript Web Projects 🌐 Author: Sandy Ludosky 🔰 Level: IntermediateDuration: 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

🦋🦋Use these special access keys to explore a wide range of high-quality training courses. Access keys: link: https://link.i
🦋🦋Use these special access keys to explore a wide range of high-quality training courses. Access keys: link: https://link.io.ci/cadeau-plus-de-10k-des-formations - ID: 1000930287486 - PIN: 5281 Take advantage of the best Linkedin Learning training courses to enrich your skills, explore new subjects and progress in your career. 🥳

📦 Exercise Files

📱Learn Python 📱Introduction to Data Science

🔅 Introduction to Data Science 🌐 Author: Lavanya Vijayan 🔰 Level: Beginner ⏰ Duration: 2h 🌀 Get to know the exciting worl
🔅 Introduction to Data Science 🌐 Author: Lavanya Vijayan 🔰 Level: BeginnerDuration: 2h
🌀 Get to know the exciting world of data science in this beginner-friendly course.
📗 Topics: Data Science

📱Learn Python 📱Programming Foundations: Beyond the Fundamentals

📦 Exercise Files

🔅 Programming Foundations: Beyond the Fundamentals 🌐 Author: Sasha Vodnik 🔰 Level: Beginner ⏰ Duration: 2h 6m 🌀 Dive deep
🔅 Programming Foundations: Beyond the Fundamentals 🌐 Author: Sasha Vodnik 🔰 Level: BeginnerDuration: 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

🔐 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: @LearnPython3

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⌨️ 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.

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