Suparna Chowdhury

💡 Insights with Python & ML | ✨ Tips & Quizzes on Excel, SQL, Power BI, Tableau | 📊 Making Data Analysis Simple & Impactful

[Suparna Chowdhury @DataSapient]

𝗗𝗮𝘆 1 𝗼𝗳 30 𝗗𝗮𝘆𝘀 𝗼𝗳 𝗣𝘆𝘁𝗵𝗼𝗻

Start learning Python from scratch. Today, we cover your first program, variables, data types and objects.

Read, practice and test your knowledge.

What's your Python goal?

#Python #30DaysOfPython #LearnPython https://t.co/vDckKrY7XG

[Dhanian 🗯️ @e_opore]

AI SYSTEM DESIGN ROADMAP
│
├── 1. FOUNDATIONS
│ ├── AI, ML, Deep Learning & Generative AI
│ ├── Mathematics, Statistics & Probability
│ ├── Python, NumPy & Pandas
│ ├── Neural Networks & Transformers
│ └── LLM Fundamentals & Tokenization
│
├── 2. AI MODEL ARCHITECTURE
│ ├── Model Selection & Evaluation
│ ├── LLMs, SLMs & Multimodal Models
│ ├── Embedding Models & Rerankers
│ ├── Fine-Tuning, LoRA & PEFT
│ └── Model Serving & Inference
│
├── 3. DATA ENGINEERING
│ ├── Data Collection & Ingestion
│ ├── Data Cleaning & Preprocessing
│ ├── Data Labeling & Governance
│ ├── Feature & Embedding Pipelines
│ └── Data Quality & Versioning
│
├── 4. LLM APPLICATION ARCHITECTURE
│ ├── Prompt Engineering
│ ├── Structured Outputs & Function Calling
│ ├── RAG (Retrieval-Augmented Generation)
│ │ ├── Document Chunking
│ │ ├── Embeddings & Vector Databases
│ │ ├── Hybrid Search & Reranking
│ │ └── Retrieval Evaluation
│ ├── AI Agents & Tool Use
│ ├── Memory & Context Management
│ └── Multi-Agent Systems
│
├── 5. SYSTEM ARCHITECTURE
│ ├── Requirements & Workload Estimation
│ ├── Monoliths, Microservices & Modular Design
│ ├── API Gateway & Model Gateway
│ ├── Synchronous & Asynchronous Processing
│ ├── Message Queues & Event-Driven Systems
│ ├── Caching & Semantic Caching
│ ├── Load Balancing & Autoscaling
│ └── Distributed Systems & Fault Tolerance
│
├── 6. STORAGE & INFRASTRUCTURE
│ ├── SQL & NoSQL Databases
│ ├── Vector Databases
│ ├── Object Storage & Data Lakes
│ ├── GPU / CPU Compute Infrastructure
│ ├── Containers & Kubernetes
│ ├── Cloud Platforms
│ └── Model Serving Infrastructure
│
├── 7. AI EVALUATION & OBSERVABILITY
│ ├── Offline & Online Evaluation
│ ├── Accuracy, Relevance & Groundedness
│ ├── Hallucination Detection
│ ├── LLM-as-a-Judge
│ ├── Tracing & Distributed Logging
│ ├── Latency, Throughput & Token Usage
│ └── A/B Testing & Continuous Evaluation
│
├── 8. SECURITY & GOVERNANCE
│ ├── Authentication & Authorization
│ ├── Prompt Injection Defense
│ ├── Data Privacy & PII Protection
│ ├── Secrets & Key Management
│ ├── Guardrails & Output Validation
│ ├── Model Supply Chain Security
│ └── Responsible AI & Compliance
│
├── 9. PERFORMANCE & COST OPTIMIZATION
│ ├── Quantization & Distillation
│ ├── Batching & Parallel Inference
│ ├── Model Routing & Cascading
│ ├── KV Caching
│ ├── GPU Utilization & Throughput
│ ├── Token Budget Optimization
│ └── Quality–Latency–Cost Trade-offs
│
├── 10. MLOps & LLMOps
│ ├── CI/CD & Model Versioning
│ ├── Automated Testing & Evaluation
│ ├── Model Deployment & Rollbacks
│ ├── Data & Prompt Versioning
│ ├── Drift Detection & Monitoring
│ └── Continuous Improvement
│
└── 11. END-TO-END AI SYSTEM DESIGN
├── AI Chatbot / Customer Support
├── RAG-Based Knowledge Assistant
├── AI Coding Assistant
├── AI Search & Recommendation Engine
├── Document Intelligence Platform
├── AI Agent / Workflow Automation
├── Real-Time Voice AI System
├── Multimodal AI Application
├── Large-Scale AI Inference Platform
└── Production-Ready AI SaaS
├── Requirements & Architecture
├── Data & Model Pipeline
├── APIs & Infrastructure
├── Security & Evaluation
├── Scaling & Cost Optimization
└── Reliability & Production Monitoring

Follow @e_opore to learn more. Bookmark and share for more people to master it.

[Suparna Chowdhury @DataSapient]

Day 7 of 30 Days of Python: Tuples & Sets

Learn immutability, hashability, set operations and efficient membership checks.

📖 Read the article and share your answers in the comments! 💬

🔖 Save & share!

#Python #LearnPython #30DaysOfPython https://t.co/XnHelXm14s

[Suparna Chowdhury @DataSapient]

Like, share and save this post for future reference, and follow along for more Python lessons and challenges.

[Suparna Chowdhury @DataSapient]

𝗗𝗮𝘆 6 𝗼𝗳 30 𝗗𝗮𝘆𝘀 𝗼𝗳 𝗣𝘆𝘁𝗵𝗼𝗻

Master Python lists: indexing, slicing, mutability, copying, etc. Test your knowledge with tricky Python challenges.

Can you predict the outputs?

#Python #LearnPython #30DaysOfPython #DataScience https://t.co/iB9d9iKllc

[Suparna Chowdhury @DataSapient]

Share your answers, questions or any error messages in the comments below! 💬

[Suparna Chowdhury @DataSapient]

@Nikita26rai B) Python

[Suparna Chowdhury @DataSapient]

@Shubham10_26 @clcoding Welcome!

Everyone starts somewhere.

Keep practicing and you'll be great at Python one day!

[Suparna Chowdhury @DataSapient]

What will be the output of the following Python code?

print(1 < 2 == True)

#Python #PythonCoding

[Suparna Chowdhury @DataSapient]

Python 3.15 introduces explicit lazy imports — a useful feature for improving startup performance.

Normally, Python loads a module when it encounters an import statement.

Lazy imports defer loading until the imported name is first used.

lazy import json

data = json.loads('{"name": "Python"}')

print(data["name"])

Python defers loading json until json is first accessed.

Why does this matter?
• Potentially faster application startup
• Avoids loading unused modules upfront
• Gives you more control over import timing

Have you explored lazy imports yet?

#Python #Python315 #code

[Suparna Chowdhury @DataSapient]

@Shubham10_26 @clcoding it is 10. Python compares strings character by character.
that's why "10" is the smallest because "1" comes before "2"

[Suparna Chowdhury @DataSapient]

@sandeep85das Thanks

[Suparna Chowdhury @DataSapient]

𝗗𝗮𝘆 5 𝗼𝗳 30 𝗗𝗮𝘆𝘀 𝗼𝗳 𝗣𝘆𝘁𝗵𝗼𝗻

Explore int, float, bool & str with practical examples and tricky Python challenges.

Why does 0.1 + 0.2 not equal exactly 0.3? Can you predict the outputs?

#Python #LearnPython #30DaysOfPython #DataScience https://t.co/OJWmOmKfvj

[Suparna Chowdhury @DataSapient]

Comment your answer to the trickiest Python output question in the article!

[Suparna Chowdhury @DataSapient]

Like, repost, and 🔖 save this post for your next Python practice session!

[Suparna Chowdhury @DataSapient]

Comment your answer to the trickiest Python output question in the article

[Suparna Chowdhury @DataSapient]

𝗗𝗮𝘆 4 𝗼𝗳 30 𝗗𝗮𝘆𝘀 𝗼𝗳 𝗣𝘆𝘁𝗵𝗼𝗻

Explore mutability, object references, copying, identity & type conversion with practical examples and tricky Python challenges.

Can you predict the outputs?

#Python #LearnPython #30DaysOfPython #DataScience https://t.co/vQ0AWj8zw3

[Suparna Chowdhury @DataSapient]

Like, repost, and 🔖 save this post for your next Python practice session!

[Suparna Chowdhury @DataSapient]

@unit0r Thanks

[Suparna Chowdhury @DataSapient]

𝗗𝗮𝘆 3 𝗼𝗳 30 𝗗𝗮𝘆𝘀 𝗼𝗳 𝗣𝘆𝘁𝗵𝗼𝗻

Explore identity, assignment, bitwise operators & precedence with practical examples and tricky Python challenges.

Can you predict the outputs?

#Python #LearnPython #30DaysOfPython #DataScience https://t.co/t5YCsZ8Es3

[Suparna Chowdhury @DataSapient]

Comment your answer to the trickiest Python output question in the article.

[Suparna Chowdhury @DataSapient]

Like, repost, and 🔖 save this post for your next Python practice session!