Python Projects & Free Books – Telegram
Python Projects & Free Books
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Python Interview Projects & Free Courses

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𝐈𝐁𝐌 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬😍

🚀 Dive into the world of Data Analytics with these 6 free courses by IBM!

Gain practical knowledge and stand out in your career with tools designed for real-world applications.

All courses come with expert guidance and are free to access!🎉

𝐋𝐢𝐧𝐤 👇:- 
 
https://bit.ly/4iXOmmb
 
Enroll For FREE & Get Certified 🎓
🔗 Master 8 Essential Machine Learning Algorithms
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𝟰 𝗛𝗶𝗴𝗵-𝗜𝗺𝗽𝗮𝗰𝘁 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗟𝗮𝘂𝗻𝗰𝗵 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱😍

These globally recognized certifications from platforms like Google, IBM, Microsoft, and DataCamp are beginner-friendly, industry-aligned, and designed to make you job-ready in just a few weeks

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/4kC18XE

These courses help you gain hands-on experience — exactly what top MNCs look for!✅️
Time Complexity of 10 Most Popular ML Algorithms
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When selecting a machine learning model, understanding its time complexity is crucial for efficient processing, especially with large datasets.

For instance,
1️⃣ Linear Regression (OLS) is computationally expensive due to matrix multiplication, making it less suitable for big data applications.

2️⃣ Logistic Regression with Stochastic Gradient Descent (SGD) offers faster training times by updating parameters iteratively.

3️⃣ Decision Trees and Random Forests are efficient for training but can be slower for prediction due to traversing the tree structure.

4️⃣ K-Nearest Neighbours is simple but can become slow with large datasets due to distance calculations.

5️⃣ Naive Bayes is fast and scalable, making it suitable for large datasets with high-dimensional features.
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𝟭𝟬𝟬𝟬+ 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗯𝘆 𝗜𝗻𝗳𝗼𝘀𝘆𝘀 – 𝗟𝗲𝗮𝗿𝗻, 𝗚𝗿𝗼𝘄, 𝗦𝘂𝗰𝗰𝗲𝗲𝗱!😍

🚀 Looking to upgrade your skills without spending a rupee?💰

Here’s your golden opportunity to unlock 1,000+ certified online courses across technology, business, communication, leadership, soft skills, and much more — all absolutely FREE on Infosys Springboard!🔥

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/43UcmQ7

Save this blog, sign up, and start your upskilling journey today!✅️
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Python Full Stack Developer Roadmap:

Stage 1: HTML – Learn webpage basics.

Stage 2: CSS – Style web pages.

Stage 3: JavaScript – Add interactivity.

Stage 4: Git + GitHub – Manage code versions.

Stage 5: Frontend Project – Build a simple project.

Stage 6: Python (Core + OOP) – Learn Python fundamentals.

Stage 7: Backend Project – Use Flask/Django for backend.

Stage 8: Frameworks – Master Flask/Django features.
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𝗙𝗿𝗲𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲: 𝗧𝗵𝗲 𝗕𝗲𝘀𝘁 𝗦𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝗣𝗼𝗶𝗻𝘁 𝗳𝗼𝗿 𝗧𝗲𝗰𝗵 & 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀😍

🚀 Want to break into tech or data analytics but don’t know how to start?📌✨️

Python is the #1 most in-demand programming language, and Scaler’s free Python for Beginners course is a game-changer for absolute beginners📊✔️

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/45TroYX

No coding background needed!✅️
Guys, Big Announcement!

We’ve officially hit 2 MILLION followers — and it’s time to take our Python journey to the next level!

I’m super excited to launch the 30-Day Python Coding Challenge — perfect for absolute beginners, interview prep, or anyone wanting to build real projects from scratch.

This challenge is your daily dose of Python — bite-sized lessons with hands-on projects so you actually code every day and level up fast.

Here’s what you’ll learn over the next 30 days:

Week 1: Python Fundamentals

- Variables & Data Types (Build your own bio/profile noscript)

- Operators (Mini calculator to sharpen math skills)

- Strings & String Methods (Word counter & palindrome checker)

- Lists & Tuples (Manage a grocery list like a pro)

- Dictionaries & Sets (Create your own contact book)

- Conditionals (Make a guess-the-number game)

- Loops (Multiplication tables & pattern printing)

Week 2: Functions & Logic — Make Your Code Smarter

- Functions (Prime number checker)

- Function Arguments (Tip calculator with custom tips)

- Recursion Basics (Factorials & Fibonacci series)

- Lambda, map & filter (Process lists efficiently)

- List Comprehensions (Filter odd/even numbers easily)

- Error Handling (Build a safe input reader)

- Review + Mini Project (Command-line to-do list)


Week 3: Files, Modules & OOP

- Reading & Writing Files (Save and load notes)

- Custom Modules (Create your own utility math module)

- Classes & Objects (Student grade tracker)

- Inheritance & OOP (RPG character system)

- Dunder Methods (Build a custom string class)

- OOP Mini Project (Simple bank account system)

- Review & Practice (Quiz app using OOP concepts)


Week 4: Real-World Python & APIs — Build Cool Apps

- JSON & APIs (Fetch weather data)

- Web Scraping (Extract noscripts from HTML)

- Regular Expressions (Find emails & phone numbers)

- Tkinter GUI (Create a simple counter app)

- CLI Tools (Command-line calculator with argparse)

- Automation (File organizer noscript)

- Final Project (Choose, build, and polish your app!)

React with ❤️ if you're ready for this new journey

You can join our WhatsApp channel to access it for free: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/1661
𝟭𝟬𝟬% 𝗙𝗿𝗲𝗲 𝗧𝗲𝗰𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍

From data science and AI to web development and cloud computing, checkout Top 5 Websites for Free Tech Certification Courses in 2025

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/4e76jMX

Enroll For FREE & Get Certified!✅️
10 Public APIs you can use for your next project

🌍 http://restcountries.com - Country data API

🌱 http://trefle.io - Plants data API

🚀http://api.nasa.gov - Space-related API

🎵 http://developer.spotify.com - Music data API

📰 http://newsapi.org - Access news articles

🌅 http://sunrise-sunset.org/api - Sunrise and sunset times API

🐲 http://pokeapi.co - Pokémon data API

🎥 http://omdbapi.com - Movie database API

🐈 http://catfact.ninja - Cat facts API

🐶 http://thedogapi.com - Dog picture API
𝟱 𝗙𝗿𝗲𝗲 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗦𝗰𝗿𝗮𝘁𝗰𝗵 𝗶𝗻 𝟮𝟬𝟮𝟱😍

🎯 Want to break into Machine Learning but don’t know where to start?✨️

You don’t need a fancy degree or expensive course to begin your ML journey📊

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/4jRouYb

This list is for anyone ready to start learning ML from scratch✅️
9 tips to learn Python for Data Analysis:

🐍 Start with the basics: variables, loops, functions

🧹 Master Pandas for data manipulation

🔢 Use NumPy for numerical operations

📊 Visualize data with Matplotlib and Seaborn

📂 Work with real datasets (CSV, Excel, APIs)

🧼 Clean and preprocess messy data

📈 Understand basic statistics and correlations

⚙️ Automate repetitive analysis tasks with noscripts

💡 Build mini-projects to apply your skills

Free Python Resources: https://news.1rj.ru/str/pythonanalyst

Like for more daily tips 👍 ♥️

Share with credits: https://news.1rj.ru/str/sqlspecialist

Hope it helps :)
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