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It returns 0
19%
returns an empty string
33%
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20%
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Beginner Projects
πΉ User Authentication Service
πΉ CRUD API for a Resource
πΉ URL Shortener
πΉ File Upload & Download System
πΉ Basic Notification API
Intermediate Projects
πΈ E-Commerce Backend
πΈ Blog API
πΈ Real-Time Chat Server
πΈ Task Management API
πΈ API Rate Limiter
Advanced Projects
πΊ Scalable Microservices Architecture
πΊ GraphQL API for Complex Data
πΊ Real-Time Analytics Platform
πΊ Robust Messaging System Integration
πΊ Distributed File Storage System
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Happy Birthday Balloons
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Modern Captcha Animation π
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Animation used in this Video is: Get It Here π
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Python.pdf
5.7 MB
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Java Handwritten Notes.pdf
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Ctrl + A - Select All
Alt + Shift + Up/Down - Copy Line Up/Down
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Ctrl + ` - Toggle Terminal
Ctrl + B - Toggle Sidebar
Ctrl + Shift + D - Toggle Debug Panel
F5 - Start Debugging
Ctrl + Shift + E - Open Explorer
Ctrl + Shift + F - Find in Files
Ctrl + Shift + H - Replace in Files
Ctrl + Shift + M - Open Problems Panel
Ctrl + Shift + X - Open Extensions
Ctrl + Shift + ` - Show Integrated Terminal
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Ctrl + D - Add Selection to Next Find Match
Ctrl + Shift + D - Start/Stop Debugging
Ctrl + Shift + C - Open External Terminal
Ctrl + Shift + V - Open Markdown Preview
Ctrl + Shift + I - Format Document
Ctrl + Shift + U - Show Output
Ctrl + Shift + P - Open Command Palette
Ctrl + Shift + J - Open Debug Console
Ctrl + Shift + F12 - Toggle Full Screen
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Roadmaps To Level Up Your Skills π‘π¨π»βπ»
Data Engineering Roadmap:
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πΊ ETL Frameworks (Airflow, Luigi)
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πΊ ML Ops Foundations
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Data Engineering Roadmap:
πΊ Data Modeling & Warehousing
πΊ ETL Frameworks (Airflow, Luigi)
πΊ Big Data Tools (Spark, Hadoop)
πΊ Streaming & Messaging (Kafka, Pulsar)
πΊ Data Lake Architectures
πΊ OLAP vs. OLTP Systems
πΊ BI & Visualization Tools
πΊ Data Quality & Governance
πΊ ML Ops Foundations
πΊ Scalability & Partitioning
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π Roadmap to Become a Machine Learning Engineer π»
π Programming Basics
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βββπ Learn Data Structures & Algorithms
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π Mathematics for ML
ββπ Linear Algebra & Calculus
βββπ Probability & Statistics
ββββπ Optimization Techniques
π Data Handling & Processing
ββπ Work with Pandas & NumPy
βββπ Data Cleaning & Preprocessing
ββββπ Feature Engineering & Selection
π Machine Learning Fundamentals
ββπ Understand Supervised & Unsupervised Learning
βββπ Master Scikit-Learn & ML Algorithms
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π Deep Learning & Neural Networks
ββπ Learn TensorFlow & PyTorch
βββπ Build & Train Neural Networks
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βββπ Work with MLOps & Cloud Platforms
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π Projects & Real-World Applications
ββπ Build End-to-End ML Projects
βββπ Work on Open-Source Contributions
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β οΈ Get Hired
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π Programming Basics
ββπ Master Python & OOP
βββπ Learn Data Structures & Algorithms
ββββπ Master Git & Version Control
π Mathematics for ML
ββπ Linear Algebra & Calculus
βββπ Probability & Statistics
ββββπ Optimization Techniques
π Data Handling & Processing
ββπ Work with Pandas & NumPy
βββπ Data Cleaning & Preprocessing
ββββπ Feature Engineering & Selection
π Machine Learning Fundamentals
ββπ Understand Supervised & Unsupervised Learning
βββπ Master Scikit-Learn & ML Algorithms
ββββπ Model Training, Evaluation & Tuning
π Deep Learning & Neural Networks
ββπ Learn TensorFlow & PyTorch
βββπ Build & Train Neural Networks
ββββπ Master CNNs, RNNs & Transformers
π ML System Deployment
ββπ Learn Model Deployment (Flask, FastAPI)
βββπ Work with MLOps & Cloud Platforms
ββββπ Deploy Models to Production
π Projects & Real-World Applications
ββπ Build End-to-End ML Projects
βββπ Work on Open-Source Contributions
ββββπ Showcase on GitHub & Kaggle
π Interview Preparation & Job Hunting
ββπ Solve ML Coding Challenges
βββπ Learn System Design for ML
ββββπ Network & Apply for Jobs
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100 DSA QUESTIONS.pdf
3.1 MB
100 Must do Leetcode problems π
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DevOps Roadmap:
πΈ Linux & Shell Scripting
πΈ Networking Fundamentals
πΈ Infrastructure as Code (Terraform, CloudFormation)
πΈ Continuous Integration (Jenkins, GitHub Actions)
πΈ Container Registries & Deployment
πΈ Kubernetes Ecosystem
πΈ Monitoring & Alerting (Prometheus, Grafana)
πΈ Security & Compliance (Vault, Istio)
πΈ Cloud Platforms (AWS, GCP, Azure)
πΈ Cost Optimization Strategies
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πΈ Linux & Shell Scripting
πΈ Networking Fundamentals
πΈ Infrastructure as Code (Terraform, CloudFormation)
πΈ Continuous Integration (Jenkins, GitHub Actions)
πΈ Container Registries & Deployment
πΈ Kubernetes Ecosystem
πΈ Monitoring & Alerting (Prometheus, Grafana)
πΈ Security & Compliance (Vault, Istio)
πΈ Cloud Platforms (AWS, GCP, Azure)
πΈ Cost Optimization Strategies
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Data Structures and Algorithms in Java Fourth Edition.pdf
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