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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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πŸ“¦ Exercise Files

πŸ“±Learn Python πŸ“±Introduction to Data Science

πŸ”… Introduction to Data Science 🌐 Author: Lavanya Vijayan πŸ”° Level: Beginner ⏰ Duration: 2h πŸŒ€ Get to know the exciting worl
πŸ”… Introduction to Data Science 🌐 Author: Lavanya Vijayan πŸ”° Level: Beginner ⏰ Duration: 2h
πŸŒ€ Get to know the exciting world of data science in this beginner-friendly course.
πŸ“— Topics: Data Science

πŸ“±Learn Python πŸ“±Programming Foundations: Beyond the Fundamentals

πŸ“¦ Exercise Files

πŸ”… Programming Foundations: Beyond the Fundamentals 🌐 Author: Sasha Vodnik πŸ”° Level: Beginner ⏰ Duration: 2h 6m πŸŒ€ Dive deep
πŸ”… Programming Foundations: Beyond the Fundamentals 🌐 Author: Sasha Vodnik πŸ”° Level: Beginner ⏰ Duration: 2h 6m
πŸŒ€ 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.
πŸ“— Topics: Programming

πŸ” 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! πŸ“± 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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38 - Graph Algorithms - Kruskal and Prim's Algorithms

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31 - Topological Sort Algorithm

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26 - Hashing

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21 - Tree Binary Tree - Part 01

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16 - Circular Doubly Linked List - Part 01

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10 - Cracking ArrayList Interview Questions

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01 - Introduction

πŸ”° The Complete Data Structures and Algorithms Course in Python 🌟 4.5 - 8433 votes πŸ’° Original Price: $99.99 πŸ“– 100+ DSA Int
πŸ”° The Complete Data Structures and Algorithms Course in Python 🌟 4.5 - 8433 votes πŸ’° Original Price: $99.99
πŸ“– 100+ DSA Interview Questions for Cracking FAANG with Animated Examples for Deeper Understanding and Faster Learning
πŸ”Š Taught By: Elshad Karimov πŸ“€ The Formations πŸ“€

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18 - Instagram client - React JS - Part 01.zip465.88 MB

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09 - Authentication.zip186.48 MB