📚 Manbalar va Resurslar

Bu bo'limda Python va AI o'rganish uchun eng foydali manbalar, kitoblar, kurslar va havolalar to'plangan.

📖 Kitoblar

🐍 Python Kitoblari

Boshlang'ichlar uchun

1. "Python Crash Course" - Eric Matthes

   • 📝 Tavsif: Python'ni noldan o'rganish
   • 🌐 Havola: Amazon
   • 💰 Narx: Bepul PDF mavjud
   • ⭐ Reyting: 5/5

2. "Automate the Boring Stuff with Python" - Al Sweigart

   • 📝 Tavsif: Amaliy Python loyihalari
   • 🌐 Havola: automatetheboringstuff.com
   • 💰 Narx: Bepul onlayn
   • ⭐ Reyting: 5/5

3. "Learn Python the Hard Way" - Zed Shaw

   • 📝 Tavsif: Qiyin usulda Python o'rganish
   • 🌐 Havola: learnpythonthehardway.org
   • 💰 Narx: $29.95
   • ⭐ Reyting: 4/5

O'rta daraja

4. "Effective Python" - Brett Slatkin

   • 📝 Tavsif: Python'da yaxshi kod yozish
   • 🌐 Havola: Amazon
   • 💰 Narx: $35
   • ⭐ Reyting: 5/5

5. "Python Tricks" - Dan Bader

   • 📝 Tavsif: Python'ning maxfiy imkoniyatlari
   • 🌐 Havola: realpython.com
   • 💰 Narx: $24
   • ⭐ Reyting: 4.5/5

🤖 AI/ML Kitoblari

Machine Learning

1. "Hands-On Machine Learning" - Aurélien Géron

   • 📝 Tavsif: Amaliy ML Scikit-Learn va TensorFlow bilan
   • 🌐 Havola: Amazon
   • 💰 Narx: $55
   • ⭐ Reyting: 5/5

2. "Pattern Recognition and Machine Learning" - Christopher Bishop

   • 📝 Tavsif: ML nazariy asoslari
   • 🌐 Havola: Bepul PDF
   • 💰 Narx: Bepul
   • ⭐ Reyting: 5/5

Deep Learning

3. "Deep Learning" - Ian Goodfellow
   • 📝 Tavsif: Deep Learning nazariy asoslari
   • 🌐 Havola: deeplearningbook.org
   • 💰 Narx: Bepul onlayn
   • ⭐ Reyting: 5/5

🎥 Video Kurslar

Python Kurslari

1. Python for Everybody - University of Michigan (Coursera)

   • ⏱️ Davomiyligi: 8 oy
   • 💰 Narx: Bepul (sertifikat $49/oy)
   • 🌐 Havola: coursera.org

2. Complete Python Bootcamp - Jose Portilla (Udemy)

   • ⏱️ Davomiyligi: 22 soat
   • 💰 Narx: $84.99
   • 🌐 Havola: udemy.com

3. Python Programming MOOC - University of Helsinki

   • ⏱️ Davomiyligi: 14 hafta
   • 💰 Narx: Bepul
   • 🌐 Havola: programming-21.mooc.fi

AI/ML Kurslari

1. Machine Learning - Andrew Ng (Coursera)

   • ⏱️ Davomiyligi: 11 hafta
   • 💰 Narx: $49/oy
   • 🌐 Havola: coursera.org

2. Deep Learning Specialization - deeplearning.ai

   • ⏱️ Davomiyligi: 4 oy
   • 💰 Narx: $49/oy
   • 🌐 Havola: coursera.org

3. CS231n: Convolutional Neural Networks - Stanford

   • ⏱️ Davomiyligi: 10 hafta
   • 💰 Narx: Bepul
   • 🌐 Havola: cs231n.stanford.edu

🌐 Onlayn Platformalar

Kod O'rganish

1. Codecademy Python Track

   • 📝 Tavsif: Interaktiv Python darslari
   • 💰 Narx: $15.99/oy
   • 🌐 Havola: codecademy.com

2. freeCodeCamp Python Certification

   • 📝 Tavsif: Bepul Python sertifikati
   • 💰 Narx: Bepul
   • 🌐 Havola: freecodecamp.org

3. LeetCode

   • 📝 Tavsif: Dasturlash masalalari
   • 💰 Narx: Bepul (Premium $35/oy)
   • 🌐 Havola: leetcode.com

AI/ML Platformalar

1. Kaggle Learn

   • 📝 Tavsif: Bepul mikro-kurslar
   • 💰 Narx: Bepul
   • 🌐 Havola: kaggle.com/learn

2. Fast.ai

   • 📝 Tavsif: Amaliy deep learning
   • 💰 Narx: Bepul
   • 🌐 Havola: fast.ai

📄 Rasmiy Hujjatlar

Python

1. Python.org Official Tutorial

   • 🌐 Havola: docs.python.org/tutorial

2. Python Enhancement Proposals (PEPs)

   • 🌐 Havola: python.org/dev/peps

AI/ML Kutubxonalar

1. NumPy Documentation

   • 🌐 Havola: numpy.org/doc

2. Pandas Documentation

   • 🌐 Havola: pandas.pydata.org/docs

3. Scikit-learn User Guide

   • 🌐 Havola: scikit-learn.org/stable/user_guide

4. TensorFlow Documentation

   • 🌐 Havola: tensorflow.org/learn

5. PyTorch Tutorials

   • 🌐 Havola: pytorch.org/tutorials

🛠️ Foydali Vositalar

IDE va Editorlar

1. PyCharm Community Edition - Bepul
2. Visual Studio Code - Bepul
3. Jupyter Notebook - Bepul
4. Google Colab - Bepul (GPU bilan)

Onlayn Kod Editorlari

1. Repl.it - replit.com
2. CodePen - codepen.io
3. Trinket - trinket.io

📱 Mobil Ilovalar

1. SoloLearn Python

   • 📱 Platform: iOS, Android
   • 💰 Narx: Bepul (Premium mavjud)

2. Programming Hero

   • 📱 Platform: iOS, Android
   • 💰 Narx: Bepul

3. Encode

   • 📱 Platform: iOS, Android
   • 💰 Narx: $4.99/oy

🎧 Podcastlar

1. Talk Python To Me

   • 🌐 Havola: talkpython.fm

2. Python Bytes

   • 🌐 Havola: pythonbytes.fm

3. Real Python Podcast

   • 🌐 Havola: realpython.com/podcasts

👥 Jamiyatlar va Forumlar

1. Stack Overflow

   • 🌐 Havola: stackoverflow.com
   • 📝 Tavsif: Dasturlash savollariga javoblar

2. Reddit r/Python

   • 🌐 Havola: reddit.com/r/Python
   • 📝 Tavsif: Python jamiyati

3. Discord Python Communities

   • Python.org Discord
   • Real Python Discord

📊 Ma'lumotlar To'plamlari

Boshlang'ichlar uchun

1. Iris Dataset - Gul turlari klassifikatsiyasi
2. Titanic Dataset - Omon qolish bashorati
3. Boston Housing - Uy narxlari bashorati

Ilg'or uchun

1. ImageNet - Tasvir klassifikatsiyasi
2. IMDB Reviews - Sentiment tahlili
3. Wikipedia Corpus - NLP uchun

🏆 Musobaqalar

1. Kaggle Competitions

   • 🌐 Havola: kaggle.com/competitions

2. Google AI Challenges

   • 🌐 Havola: ai.google/research/competitions

3. DrivenData

   • 🌐 Havola: drivendata.org

💡 Maslahatlar

O'qish Strategiyasi

1. 70-20-10 Qoidasi:

   • 70% - Amaliy kod yozish
   • 20% - Nazariy o'rganish
   • 10% - Jamiyat bilan muloqot

2. Har Kuni Kod Yozing:

   • Kamida 30 daqiqa dasturlash
   • GitHub'da faollik ko'rsating

3. Loyiha Yarating:

   • Portfolio uchun real loyihalar
   • Open Source ga hissa qo'shing

Muvaffaqiyat Belgilari

• ✅ Har hafta yangi tushuncha o'rganish
• ✅ Oyda kamida bitta loyiha tugatish
• ✅ Stack Overflow'da savollar berish/javob berish
• ✅ GitHub'da kod ulashish

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