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sql interview questions and answers.pdf
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SQL interview Questions and answers πŸ”₯🀯

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HTML Handwritten Notes.pdf
19.9 MB
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Data Science from Scratch.pdf
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Data Science from Scratch ⭐
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Frontend System Design (2).pdf
2.6 MB
Frontend System Design 🧠
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These videos will replace Your 4 Years Degree.pdf
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These videos will replace Your 4 Years Degree πŸ§‘β€πŸ’»
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Python Complete Tutorial By Guido Van Rossum and Team.pdf
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Python Complete Tutorial By Guido Van Rossum and Team πŸ§‘β€πŸ’»πŸ
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Python In 1 Day 🐍-1.pdf
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Python in 1 Day ⭐️
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c interview questions handwritten notes (1) (1).pdf
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C Interview Questions πŸ™Œ

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The Ultimate Data Manipulation Toolkit in Python.pdf
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🐼 Pandas: The Ultimate Data Manipulation Toolkit in Python! πŸš€πŸ“Š
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75 DSA Questions that will help you crack every DSA round πŸ‘‡

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All Cheat Sheets Collection.pdf
2.7 MB
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Data_Analyst✨.pdf
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Data Analyst Interview Questions and Answers πŸ§‘β€πŸ’»
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Linear Regrassion Notes.pdf
745 KB
πŸš€ Linear Regression for Data Science Beginners! πŸ“ŠπŸ“ˆ
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C++ Complete Handwritten Notes.pdf
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C++ Complete Handwritten notes πŸ™Œ

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Api Guide.pdf
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SQL pocket Dictionary.pdf
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SQL pocket Dictionary ❀️
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*Python Detailed Roadmap* πŸš€

πŸ“Œ 1. Basics
β—Ό Data Types & Variables
β—Ό Operators & Expressions
β—Ό Control Flow (if, loops)

πŸ“Œ 2. Functions & Modules
β—Ό Defining Functions
β—Ό Lambda Functions
β—Ό Importing & Creating Modules

πŸ“Œ 3. File Handling
β—Ό Reading & Writing Files
β—Ό Working with CSV & JSON

πŸ“Œ 4. Object-Oriented Programming (OOP)
β—Ό Classes & Objects
β—Ό Inheritance & Polymorphism
β—Ό Encapsulation

πŸ“Œ 5. Exception Handling
β—Ό Try-Except Blocks
β—Ό Custom Exceptions

πŸ“Œ 6. Advanced Python Concepts
β—Ό List & Dictionary Comprehensions
β—Ό Generators & Iterators
β—Ό Decorators

πŸ“Œ 7. Essential Libraries
β—Ό NumPy (Arrays & Computations)
β—Ό Pandas (Data Analysis)
β—Ό Matplotlib & Seaborn (Visualization)

πŸ“Œ 8. Web Development & APIs
β—Ό Web Scraping (BeautifulSoup, Scrapy)
β—Ό API Integration (Requests)
β—Ό Flask & Django (Backend Development)

πŸ“Œ 9. Automation & Scripting
β—Ό Automating Tasks with Python
β—Ό Working with Selenium & PyAutoGUI

πŸ“Œ 10. Data Science & Machine Learning
β—Ό Data Cleaning & Preprocessing
β—Ό Scikit-Learn (ML Algorithms)
β—Ό TensorFlow & PyTorch (Deep Learning)

πŸ“Œ 11. Projects
β—Ό Build Real-World Applications
β—Ό Showcase on GitHub

πŸ“Œ 12. βœ… Apply for Jobs
β—Ό Strengthen Resume & Portfolio
β—Ό Prepare for Technical Interviews

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