#Assignment

Guess The Number

Write a programme where the computer randomly generates a number between 0 and 20. The user needs to guess what the number is. If the user guesses wrong, tell them their guess is either too high, or too low. This will get you started with the random library if you haven't already used it.

Post your solution in the comment box

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Python is a general-purpose programming language. It can do almost all of what other languages can do with comparable, or faster, speed. It is often chosen by Data Analysts and Data Scientists for prototyping, visualization, and execution of data analyses on datasets.

There’s an important question here. Plenty of other programming languages, like R, can be useful in the field of data science. Why are so many people choosing Python?

One major factor is Python’s versatility. There are over 125,000 third-party Python libraries. These libraries make Python more useful for specific purposes, from the traditional (e.g. web development, text processing) to the cutting edge (e.g. AI and machine learning). For example, a biologist might use the Biopython library to aid their work in genetic sequencing.

Additionally, Python has become a go-to language for data analysis. With data-focused libraries like pandas, NumPy, and Matplotlib, anyone familiar with Python’s syntax and rules can use it as a powerful tool to process, manipulate, and visualize data.

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Bubble Sort Algorithm Explained! Python Implementation & Step-by-Step Guide
https://www.youtube.com/watch?v=x6WGF8zDWZA

Learn More About Algorithmic Thinking:

If you're interested in diving deeper into algorithmic problem-solving, check out these additional tutorials:

📌 Bubble Sort Algorithm Explained! Python Implementation & Step-by-Step Guide
https://www.youtube.com/watch?v=x6WGF8zDWZA

📌 Linear Search Algorithm: https://www.youtube.com/watch?v=f0KsENxdTGI

📌 Binary Search Algorithm: https://www.youtube.com/watch?v=_MjGCuwFDuw

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💬 Join Our Telegram Discussion Group: https://t.me/epythonlab

💡 Researchers & Beginners in Python!

This step-by-step guide walks you through installing and setting up Python on Windows using the Microsoft Store, along with VS Code setup to get you coding in no time!

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Python podcast with AI Agent

https://youtu.be/fRww_ZVJZNI

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AI is transforming the world, and the best part? You don’t need a formal degree to break into the field! With the right roadmap and hands-on practice, anyone can become an AI developer. Here’s how you can do it:

1️⃣ Master the Fundamentals of Programming

Start with Python, as it’s the most popular language for AI. Learn data structures, algorithms, and object-oriented programming (OOP). Practice coding on LeetCode and HackerRank.

👉How to get started Python: https://www.youtube.com/watch?v=EGdhnSEWKok
How to Create & Use Python Virtual Environments | ML Project Setup + GitHub Actions CI/CD https://youtu.be/qYYYgS-ou7Q

👉Beginner's Guide to Python Programming. Getting started now: https://youtu.be/ISv6XIl1hn0

👉Data Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok

👉OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw

2️⃣ Build a Strong Math Foundation

AI relies on:
🔹 Linear Algebra – Matrices, vectors (used in deep learning) https://youtu.be/BNa2s6OtWls
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🔹 Calculus – Derivatives, gradients (used in optimization)

📚 Learn from 3Blue1Brown, Khan Academy, or MIT OpenCourseWare.

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Start with traditional ML before deep learning:
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✔ Unsupervised Learning – Clustering, PCA
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Once comfortable with ML, explore:
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✅ Parse XML → Export to CSV using pure Python — no external libraries, no fluff. https://youtu.be/ii1UqhJwAkg

This beginner-friendly project walks you through:

🔍 Extracting structured data from XML files

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I used character data from the Dexter TV series as a sample XML source, making it fun and practical at the same time.

🎓 Perfect for:

Students & junior devs building portfolio projects

Data analysts working with legacy XML feeds

Anyone learning Python automation and data wrangling



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🚀 New Python Tutorial Alert!

Boolean logic is the foundation of every programming decision. Whether it’s controlling the flow of your code, building smarter conditions, or making algorithms more efficient—understanding it well is a must for every Python developer.

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🚀 New Python Tutorial!
Python Lists | Beginner-Friendly Tutorial with Real-World Examples
https://youtu.be/KDZcMK7FoA0