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Python Projects & Free Books

Python Projects & Free Books

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Python Interview Projects & Free Courses Admin: @Coderfun

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📈 نظرة تحليلية على قناة تيليجرام Python Projects & Free Books

تُعد قناة Python Projects & Free Books (@pythonfreebootcamp) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 40 805 مشتركاً، محتلاً المرتبة 3 179 في فئة التكنولوجيات والتطبيقات والمرتبة 9 475 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 40 805 مشتركاً.

بحسب آخر البيانات بتاريخ 27 أغسطس, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -59، وفي آخر 24 ساعة بمقدار -12، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 3.31‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً N/A‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 1 352 مشاهدة. وخلال اليوم الأول يجمع عادةً 0 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 1.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل learning, analyst, framework, link:-, structure.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
Python Interview Projects & Free Courses Admin: @Coderfun

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 28 أغسطس, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

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📈 Predictive Modeling for Future Stock Prices in Python: A Step-by-Step Guide The process of building a stock price predicti
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📈 Predictive Modeling for Future Stock Prices in Python: A Step-by-Step Guide The process of building a stock price prediction model using Python. 1. Import required modules 2. Obtaining historical data on stock prices 3. Selection of features. 4. Definition of features and target variable 5. Preparing data for training 6. Separation of data into training and test sets 7. Building and training the model 8. Making forecasts 9. Trading Strategy Testing

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𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 Want to master web development? These free certification courses will help you build real-world full-stack skills: ✅ Web Design 🎨 ✅ JavaScript ⚡  ✅ Front-End Libraries 📚 ✅ Back-End & APIs 🌐  ✅ Databases 💾  💡 Start learning today and build your career for FREE! 🚀 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/4bqbQwB Enroll for FREE & Get Certified 🎓

Call for papers on AI to AI Journey* conference journal has started! Prize for the best scientific paper - 1 million roubles!
Call for papers on AI to AI Journey* conference journal has started! Prize for the best scientific paper - 1 million roubles! Selected papers will be published in the scientific journal Doklady Mathematics. 📖 The journal: •  Indexed in the largest bibliographic databases of scientific citations •  Accessible to an international audience and published in the world’s digital libraries Submit your article by August 20 and get the opportunity not only to publish your research the scientific journal, but also to present it at the AI Journey conference. Prize for the best article - 1 million roubles! More detailed information can be found in the Selection Rules -> AI Journey *AI Journey - a major online conference in the field of AI technologies

⌨️ Learn About Python List Methods
⌨️ Learn About Python List Methods

⌨️ Grammar Correction using Python
⌨️ Grammar Correction using Python

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𝟱 𝗙𝗥𝗘𝗘 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 Explore AI, machine learning, and cloud computing — straight from Google and FREE 1. 🌐Google AI for Anyone 2. 💻Google AI for JavaScript Developers 3. ☁️ Cloud Computing Fundamentals (Google Cloud) 4. 🔍 Data, ML & AI in Google Cloud 5. 📊 Smart Analytics, ML & AI on Google Cloud 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/3YsujTV Enroll for FREE & Get Certified 🎓

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𝗙𝗥𝗘𝗘 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗖𝗼𝗱𝗶𝗻𝗴 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 😍 Level up your coding skills without spending a di
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Top 10 Data Libraries for Python
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Top 10 Data Libraries for Python

🔅 Convert Video to Audio using Python
🔅 Convert Video to Audio using Python

𝗧𝗼𝗽 𝗠𝗡𝗖𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 😍 Mercedes :- https://pdlink.in/3RPLXNM TechM :- https://pdlink.in/4c
𝗧𝗼𝗽 𝗠𝗡𝗖𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 😍 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 💫

Build AI Agents with Python ✅
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Build AI Agents with Python ✅

Repost from Generative AI
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𝗝𝗣 𝗠𝗼𝗿𝗴𝗮𝗻 𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀😍 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   𝐋𝐢𝐧𝐤 👇:-  https://pdlink.in/4gHGofl Enroll For FREE & Get Certified 🎓

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 𝕏 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.✌️✌️

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How to Learn API Development? Learning how to develop APIs is an important skill for modern-day developers. Here’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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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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