Python Projects & Free Books
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Python Interview Projects & Free Courses

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Python Functions ๐Ÿ‘†
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Python Functions ๐Ÿ‘†๐Ÿ‘†
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Python Patterns
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๐Ÿฑ ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ๐—ณ๐˜‚๐—น ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—”๐—œ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ณ๐—ฟ๐—ผ๐—บ ๐—›๐—ฎ๐—ฟ๐˜ƒ๐—ฎ๐—ฟ๐—ฑ & ๐—ฆ๐˜๐—ฎ๐—ป๐—ณ๐—ผ๐—ฟ๐—ฑ๐Ÿ˜

Want to learn AI from the best without spending a rupee?

These 5 FREE courses from Harvard and Stanford will help you understand Artificial Intelligence, Deep Learning, NLP, and moreโ€”straight from the experts๐Ÿ“Š

๐‹๐ข๐ง๐ค๐Ÿ‘‡:-

https://pdlink.in/4lphMdX

๐Ÿš€ Learn from the Best, for Free
10 Must-Know Python Libraries for LLMs in 2025

1. Hugging Face Transformers
Best for: Pre-trained LLMs, fine-tuning, inference

2. LangChain
Best for
: LLM-powered apps, chatbots, AI agents

3. SpaCy
Best for
: Tokenization, named entity recognition (NER), dependency parsing

4. Natural Language Toolkit (NLTK)
Best for:
 Linguistic analysis, tokenization, POS tagging

5. SentenceTransformers
Best for
: Semantic search, similarity, clustering

6. FastText
Best for
: Word embeddings, text classification

7. Gensim
Best for:
 Word2Vec, topic modeling, document embeddings

8. Stanza
Best for
: Named entity recognition (NER), POS tagging

9. TextBlob
Best for
: Sentiment analysis, POS tagging, text processing

10. Polyglot
Best for
: Multi-language NLP, named entity recognition, word embeddings
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๐Ÿฏ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—Ÿ๐—ฒ๐˜ƒ๐—ฒ๐—น ๐—จ๐—ฝ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜

Want to build your tech career without breaking the bank?๐Ÿ’ฐ

These 3 completely free courses are all you need to begin your journey in programming and data analysis๐Ÿ“Š

๐‹๐ข๐ง๐ค๐Ÿ‘‡:-

https://pdlink.in/3EtHnBI

Learn at your own pace, sharpen your skills, and showcase your progress on LinkedIn or your resume. Letโ€™s dive in!โœ…๏ธ
How to Learn API Development?

Learning how to develop APIs is an important skill for modern-day developers. Hereโ€™s a mind map of what all you need to learn about API development:

1 - API Fundamentals
What is an API, types of API (REST, SOAP, GraphQL, gRPC, etc.), and API vs SDK.

2 - API Request/Response
HTTP Methods, Response Codes, and Headers.

3 - Authentication and Security
Authentication mechanisms (JWT, OAuth 2, API Keys, Basic Auth) and security strategies.

4 - API Design and Development
RESTful API principles include stateless, resource-based URL, versioning, and pagination. Also, API documentation tools like OpenAPI, Postman, Swagger.

5 - API Testing
Tools for testing APIs such as Postman, cURL, SoapUI, and so on.

6 - API Deployment and Integration
Consuming APIs in different languages like JS, Python, and Java. Also, working with 3rd party APIs like the Google Maps API and the Stripe API. Learn about API Gateways like AWS, Kong, Apigee.

Over to you: What else will you add to the list for learning API development?
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๐—”๐—œ & ๐— ๐—Ÿ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿ˜

Qualcommโ€”a global tech giant offering completely FREE courses that you can access anytime, anywhere.

โœ… 100% Free โ€” No hidden charges, subscriptions, or trials
โœ… Created by Industry Experts
โœ… Self-paced & Online โ€” Learn from anywhere, anytime

๐‹๐ข๐ง๐ค ๐Ÿ‘‡:-

https://pdlink.in/3YrFTyK

Enroll Now & Get Certified ๐ŸŽ“
To start with Machine Learning:

   1. Learn Python
   2. Practice using Google Colab
   

Take these free courses:

https://t.me/datasciencefun/290

If you need a bit more time before diving deeper, finish the Kaggle tutorials.

At this point, you are ready to finish your first project: The Titanic Challenge on Kaggle.

If Math is not your strong suit, don't worry. I don't recommend you spend too much time learning Math before writing code. Instead, learn the concepts on-demand: Find what you need when needed.

From here, take the Machine Learning specialization in Coursera. It's more advanced, and it will stretch you out a bit.

The top universities worldwide have published their Machine Learning and Deep Learning classes online. Here are some of them:

https://t.me/datasciencefree/259

Many different books will help you. The attached image will give you an idea of my favorite ones.

Finally, keep these three ideas in mind:

1. Start by working on solved problems so you can find help whenever you get stuck.
2. ChatGPT will help you make progress. Use it to summarize complex concepts and generate questions you can answer to practice.
3. Find a community on LinkedIn or ๐• and share your work. Ask questions, and help others.

During this time, you'll deal with a lot. Sometimes, you will feel it's impossible to keep up with everything happening, and you'll be right.

Here is the good news:

Most people understand a tiny fraction of the world of Machine Learning. You don't need more to build a fantastic career in space.

Focus on finding your path, and Write. More. Code.

That's how you win.โœŒ๏ธโœŒ๏ธ
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Forwarded from Generative AI
๐—๐—ฃ ๐— ๐—ผ๐—ฟ๐—ด๐—ฎ๐—ป ๐—™๐—ฅ๐—˜๐—˜ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐˜€๐Ÿ˜

JPMorgan offers free virtual internships to help you develop industry-specific tech, finance, and research skills. 

- Software Engineering Internship
- Investment Banking Program
- Quantitative Research Internship
 
๐‹๐ข๐ง๐ค ๐Ÿ‘‡:- 

https://pdlink.in/4gHGofl

Enroll For FREE & Get Certified ๐ŸŽ“
Build AI Agents with Python โœ…
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๐—ง๐—ผ๐—ฝ ๐— ๐—ก๐—–๐˜€ ๐—›๐—ถ๐—ฟ๐—ถ๐—ป๐—ด ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜๐˜€ ๐Ÿ˜

Mercedes :- https://pdlink.in/3RPLXNM

TechM :- https://pdlink.in/4cws0oN

SE :- https://pdlink.in/42feu5D

Siemens :- https://pdlink.in/4jxhzDR

Dxc :- https://pdlink.in/4ctIeis

EY:- https://pdlink.in/4lwMQZo

Apply before the link expires ๐Ÿ’ซ
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๐Ÿ”… Convert Video to Audio using Python
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