📌 For Practicals Colab Notebooks: 🔗 Visit This Repo
🔗 https://github.com/lovnishverma/Python-Getting-Started
Welcome to the Slidespptspdfs repository by Lovnish Verma. This collection contains categorized PDFs, PowerPoint slides, and resources on a wide range of computer science and data science topics used for workshops, lectures, and student learning.
🎯 Purpose: Provide well-organized teaching material (slides, notes, PDFs) for students, trainers, and self-learners.
| Folder | Description |
|---|---|
| 1 Python | Contains Python slides and PDFs covering programming basics, functions, loops, data structures, OOP, and exception handling. Ideal for beginner-level sessions. |
| 1DataScience | Core concepts of data science including data collection, EDA, preprocessing, visualization techniques, and project workflows. |
| Big Data | Slides and PDFs focused on Hadoop, Spark, HDFS, MapReduce, and the Big Data ecosystem used in enterprise-level data processing. |
| DBMS | Database fundamentals including ER diagrams, normalization, SQL queries, relational models, and transaction management. |
| Jetson Nano | Workshop slides and handouts related to Jetson Nano hardware setup, use cases in edge AI, GPIO, and computer vision demos. |
| Machine Learning | Covers supervised and unsupervised learning algorithms, model evaluation, training/testing splits, and real-world case studies. |
| Web Scraping | Introductory and intermediate-level content on scraping web data using Python (requests, BeautifulSoup, Selenium) with ethical considerations. |
| Web technologies | Resources covering HTML, CSS, JavaScript, Bootstrap, and basic web architecture concepts used for frontend development. |
| miscellaneous | Misc PDFs like Git & GitHub Basics Presentation, Introduction to APIs with Example, soft skills and resources that don’t fit into other categories but are useful for academic or technical use. |
This repository serves as a one-stop content bank for:
- Faculty members conducting training/workshops
- Students revising syllabus content
- Beginners exploring Python, ML, and Web technologies
All materials are carefully prepared and regularly updated.
Lovnish Verma Backend Developer | Data Science Instructor | AI & IoT Enthusiast
📧 Email: [email protected] 🌐 GitHub: github.com/lovnishverma
All files are shared under the MIT License unless otherwise noted. You're welcome to use these for educational and non-commercial purposes with attribution.
Have better slides, corrections, or additions? Feel free to fork, edit, and raise a pull request with your improvements.
Let’s build a better open learning resource community! 💡
