Coding_knowledge

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Roadmap to Become Web3 Developer : 📂 Learn HTML ∟📂 Learn CSS ∟📂 Learn JavaScript ∟📂 Learn React ∟📂 Learn Solidity ∟📂 Learn Ether.js ∟📂 Learn L2 ∟📂 Build Projects ∟ ✅ Start Applying for Job’s

Wondering how data scientists make sense of massive datasets? It's through Exploratory Data Analysis (EDA)! Here's a closer look at what EDA entails: Exploratory Data Analysis (EDA) serves as the foundation for understanding extensive datasets. EDA involves uncovering patterns, identifying trends, and extracting insights using techniques like statistical summaries, visualization, and clustering. Its iterative process allows analysts to refine their questions and hypotheses based on initial findings. EDA requires a blend of intuition, curiosity, and creativity, making it both an art and a science.As data environments grow more complex, EDA acts as a guiding light amid the deluge of information. Mastering EDA is crucial for fully leveraging the potential of data analysis. How do you approach EDA in your projects? 👇👇 https://www.instagram.com/p/C3Fj3daPqoq/?igsh=Y242aG9iZWl1MGhv

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Here are the skills to learn app development: 🟡 BASICS: - Java/Kotlin (for Android) - Swift (for iOS) - Dart (for Flutter) 🟡 TOOLS & ENVIRONMENTS: - Android Studio - Xcode - Flutter 🟡 USER INTERFACE DESIGN: - UI/UX principles - XML (Android) - SwiftUI/Storyboards (iOS) - Flutter Widgets 🟡 ADVANCED CONCEPTS: - Asynchronous Programming - APIs & Networking - Data Persistence - State Management (Flutter) 🟡 TESTING & DEBUGGING: - Unit Testing - Integration Testing - IDE Debugging tools 🟡 VERSION CONTROL: - Git - GitHub/GitLab 🟡 DEPLOYMENT: - Google Play Store - Apple App Store - Flutter App Bundles 🟡 EXTRA: - Firebase - Design Patterns (MVC, MVVM) - CI/CD systems