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Chapter - 7 : Multithreading and Concurrency
Chapter - 8 : File I/O and Data Persistence
Chapter - 9 : User Interfaces with JavaFX
Chapter - 10 : Advanced Topics
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The Ultimate Data Manipulation Toolkit in Python.pdf
8.8 MB
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Python Roadmap π
π Syntax Basics
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π Roadmap to Become a Machine Learning Engineer
π Programming Basics
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βββπ Learn Data Structures & Algorithms
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βββπ Probability & Statistics
ββββπ Optimization Techniques
π Data Handling & Processing
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π Machine Learning Fundamentals
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π Projects & Real-World Applications
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βββπ Work on Open-Source Contributions
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π Python Fundamentals
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ββββπ Dive into Design Patterns
π Projects & Real-World Applications
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βββπ Contribute to Open-Source
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π Python Fundamentals
ββπ Learn Syntax, Variables & Data Types
βββπ Master Control Flow & Functions
ββββπ Practice with Simple Projects
π Intermediate Concepts
ββπ Object-Oriented Programming (OOP)
βββπ Work with Modules & Packages
ββββπ Understand Exception Handling & File I/O
π Data Structures & Algorithms
ββπ Lists, Tuples, Dictionaries & Sets
βββπ Algorithms & Problem Solving
ββββπ Master Recursion & Iteration
π Python Libraries & Tools
ββπ Get Comfortable with Pip & Virtual Environments
βββπ Learn NumPy & Pandas for Data Handling
ββββπ Explore Matplotlib & Seaborn for Visualization
π Web Development with Python
ββπ Understand Flask & Django Frameworks
βββπ Build RESTful APIs
ββββπ Integrate Front-End & Back-End
π Advanced Topics
ββπ Concurrency: Threads & Asyncio
βββπ Learn Testing with PyTest
ββββπ Dive into Design Patterns
π Projects & Real-World Applications
ββπ Build Command-Line Tools & Scripts
βββπ Contribute to Open-Source
ββββπ Showcase on GitHub & Portfolio
π Interview Preparation & Job Hunting
ββπ Solve Python Coding Challenges
βββπ Master Data Structures & Algorithms Interviews
ββββπ Network & Apply for Python Roles
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βββπ Manage State with Redux, Context API
ββββπ Optimize Performance & SEO (SSR, CSR)
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ββπ SQL (PostgreSQL, MySQL) & NoSQL (MongoDB, Firebase)
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ββββπ Caching & Performance Tuning (Redis, Memcached)
π Version Control & Deployment
ββπ Master Git & GitHub for Collaboration
βββπ Learn CI/CD (GitHub Actions, Jenkins)
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π Advanced Topics
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ββββπ Network & Apply for Full-Stack Roles
β Happy Coding! π
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π Frontend Development
ββπ Learn HTML, CSS & JavaScript
βββπ Master CSS Frameworks (Bootstrap, Tailwind)
ββββπ Understand JavaScript ES6+ & DOM Manipulation
π Modern Frontend Frameworks
ββπ Learn React.js (or Vue.js, Angular)
βββπ Manage State with Redux, Context API
ββββπ Optimize Performance & SEO (SSR, CSR)
π Backend Development
ββπ Learn Python (Flask, Django) or Node.js (Express.js)
βββπ Work with RESTful APIs & Authentication (JWT, OAuth)
ββββπ Understand Middleware & Database Integration
π Databases & Storage
ββπ SQL (PostgreSQL, MySQL) & NoSQL (MongoDB, Firebase)
βββπ ORM & Query Optimization (SQLAlchemy, Mongoose)
ββββπ Caching & Performance Tuning (Redis, Memcached)
π Version Control & Deployment
ββπ Master Git & GitHub for Collaboration
βββπ Learn CI/CD (GitHub Actions, Jenkins)
ββββπ Deploy on Vercel, Netlify, AWS, or DigitalOcean
π Advanced Topics
ββπ WebSockets & Real-Time Apps (Socket.io, WebRTC)
βββπ GraphQL & API Optimization
ββββπ Microservices & Serverless Architecture
π Full-Stack Projects & Portfolio
ββπ Build & Deploy Full-Stack Applications
βββπ Contribute to Open Source
ββββπ Showcase Work on GitHub & Portfolio
π Interview Preparation & Job Hunting
ββπ Master Full-Stack Coding Challenges
βββπ Prepare for System Design Interviews
ββββπ Network & Apply for Full-Stack Roles
β Happy Coding! π
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The Cube Code βΉοΈ
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πCode available via the Get Code button below π
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π Roadmap to Become a Machine Learning Engineer π»
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
β οΈ Get Hired
React "β€οΈ" for More π¨βπ»
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
β οΈ Get Hired
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Anonymous Poll
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πΉ Slow deployments π’
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