Coding Projects

🔅 Barcode Generation using Python ⭐️ https://t.me/LearnPython3

How to convert image to pdf in Python # Python3 program to convert image to pfd # using img2pdf library   # importing necessary libraries import img2pdf from PIL import Image import os   # storing image path img_path = "Input.png"   # storing pdf path pdf_path = "file_pdf.pdf"   # opening image image = Image.open(img_path)   # converting into chunks using img2pdf pdf_bytes = img2pdf.convert(image.filename)   # opening or creating pdf file file = open(pdf_path, "wb")   # writing pdf files with chunks file.write(pdf_bytes)   # closing image file image.close()   # closing pdf file file.close()   # output print("Successfully made pdf file") pip3 install pillow && pip3 install img2pdf

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Learn Django Easily 🤩 Here's all you need to get started 🙌 1. Introduction to Django    - What is Django?    - Setting up the Development Environment 2. Django Basics    - Django Project Structure    - Apps in Django    - Settings and Configuration 3. Models    - Creating Models    - Migrations    - Model Relationships 4. Views    - Function-Based Views    - Class-Based Views    - Generic Views 5. Templates    - Template Syntax    - Template Inheritance    - Template Tags and Filters 6. Forms    - Creating Forms    - Form Validation    - Model Forms 7. URLs and Routing    - URLconf    - Named URL Patterns    - URL Namespaces 8. Django ORM    - Querying the Database    - QuerySets    - Aggregations 9. Authentication and Authorization    - User Authentication    - Permission and Groups    - Django's Built-in User Model 10. Static Files and Media     - Serving Static Files     - File Uploads     - Managing Media Files 11. Middleware     - Using Middleware     - Creating Custom Middleware 12. REST Framework     - Django REST Framework (DRF)     - Serializers     - ViewSets and Routers 13. Testing     - Writing Tests     - Testing Models, Views, and Forms     - Test Coverage 14. Internationalization and Localization     - Translating Strings     - Time Zones 15. Security     - Securing Django Applications     - CSRF Protection     - XSS Protection 16. Deployment     - Deploying with WSGI and ASGI     - Using Gunicorn     - Deploying to Heroku, AWS, etc. 17. Optimization     - Database Optimization     - Caching Strategies     - Profiling and Performance Monitoring 18. Best Practices     - Code Structure     - DRY Principle     - Reusable Apps Web Development Best Resources: https://topmate.io/coding/930165 ENJOY LEARNING 👍👍 #django #webdev

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Don't forget to check these 10 SQL projects with corresponding datasets that you could use to practice your SQL skills: 1. Analysis of Sales Data: (https://www.kaggle.com/kyanyoga/sample-sales-data) 2. HR Analytics: (https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-attrition-dataset) 3. Social Media Analytics: (https://www.kaggle.com/datasets/ramjasmaurya/top-1000-social-media-channels) 4. Financial Data Analysis: (https://www.kaggle.com/datasets/nitindatta/finance-data) 5. Healthcare Data Analysis: (https://www.kaggle.com/cdc/mortality) 6. Customer Relationship Management: (https://www.kaggle.com/pankajjsh06/ibm-watson-marketing-customer-value-data) 7. Web Analytics: (https://www.kaggle.com/zynicide/wine-reviews) 8. E-commerce Analysis: (https://www.kaggle.com/olistbr/brazilian-ecommerce) 9. Supply Chain Management: (https://www.kaggle.com/datasets/harshsingh2209/supply-chain-analysis) 10. Inventory Management: (https://www.kaggle.com/datasets?search=inventory+management) Share this channel with your friends 🤝🤩 Join for more -> https://whatsapp.com/channel/0029VaxbzNFCxoAmYgiGTL3Z ENJOY LEARNING 👍👍

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DSA Handwritten Notes

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Beginner’s Roadmap to Learn Data Structures & Algorithms 1. Foundations: Start with the basics of programming and mathematical concepts to build a strong foundation. 2. Data Structure: Dive into essential data structures like arrays, linked lists, stacks, and queues to organise and store data efficiently. 3. Searching & Sorting: Learn various search and sort techniques to optimise data retrieval and organisation. 4. Trees & Graphs: Understand the concepts of binary trees and graph representation to tackle complex hierarchical data. 5. Recursion: Grasp the principles of recursion and how to implement recursive algorithms for problem-solving. 6. Advanced Data Structures: Explore advanced structures like hashing, heaps, and hash maps to enhance data manipulation. 7. Algorithms: Master algorithms such as greedy, divide and conquer, and dynamic programming to solve intricate problems. 8. Advanced Topics: Delve into backtracking, string algorithms, and bit manipulation for a deeper understanding. 9. Problem Solving: Practice on coding platforms like LeetCode to sharpen your skills and solve real-world algorithmic challenges. 10. Projects & Portfolio: Build real-world projects and showcase your skills on GitHub to create an impressive portfolio. Best DSA RESOURCES: https://topmate.io/coding/886874 All the best 👍👍

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