CyberForge @obj899

Software developer exploring Data, Cloud & Applied AI #Tech #SoftwareDevelopment #CloudComputing #BuildInPublic Australia Joined April 2023

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CyberForge @obj899

10 months ago

⚙️ Key Benefits: • No server management • Automatic scaling • Pay-per-use billing Use it for: 👉 Event-driven apps 👉 APIs & microservices 👉 Real-time data processing #AWS #CloudComputing #Serverless #AmazonWebServices

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CyberForge @obj899

10 months ago

🚀 AWS Lambda is serverless compute on demand. Run code without provisioning servers. Scale automatically, pay only for execution, and focus on building instead of managing infrastructure. #AWS #Cloud #Lambda #Serverless #IaC

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CyberForge @obj899

10 months ago

⚙️ Key Benefits: • Secure, resizable compute • Flexible instance sizes • Global availability zones Use it for: 👉 Websites & APIs 👉 Data processing 👉 Research & innovation #AWS #CloudComputing #EC2 #AmazonWebServices

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CyberForge @obj899

10 months ago

⚡ AWS EC2 — elastic compute on demand. Choose your operating system, scale resources in minutes, and pay as you go. From a single VM to global-scale apps, EC2 makes it simple to get started. #AWS #Cloud #EC2 #Terraform #IaC

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CyberForge @obj899

10 months ago

⚙️ Quick Stats: • 99.999999999% durability • Near-unlimited scale • Supports lifecycle policies & replication Why use it? 👉 Backups, logs, archives 👉 Analytics & ML data pipelines 👉 Global content delivery with CloudFront #AWS #CloudComputing #CloudSkills #S3

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CyberForge @obj899

10 months ago

📦 AWS S3 — the Swiss army knife of storage in the cloud. Highly durable, scalable, and cost-effective object storage in the cloud. Store anything — data lakes, backups, static websites — with 11 nines of durability! #AWS #Cloud #S3 #TechTips

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CyberForge @obj899

10 months ago

🚀 I’m starting my journey toward the AWS Solutions Architect Associate exam! I’ll be sharing bite-sized posts on AWS services + Terraform snippets as I study. Follow along to learn cloud fundamentals with me 🌐☁️ #AWS #Terraform #CloudComputing #CloudSkills

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CyberForge @obj899

a year ago

⏱️ Time Complexity: • O(log n) – Halves the search space at each step. 📦 Space Complexity: • O(1) – Uses constant space. Why use it? 👉 Lightning-fast searches in sorted arrays. 👉 Essential for search, interview & boundary problems #Programming #PythonTips #ProblemSolving

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CyberForge @obj899

a year ago

⚡ Binary Search Algorithm in Python ⚡ Efficiently search sorted arrays by repeatedly dividing the search space. A crucial technique for fast lookups and solving search-related coding problems! #Python #Algorithms #BinarySearch #TechTips #Leetcode

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CyberForge @obj899

a year ago

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CyberForge @obj899

a year ago

⏱️ Time Complexity: • O(n) – Precompute prefix sums in a single pass. • O(1) – Querying any subarray sum. 📦 Space Complexity: • O(n) – Stores prefix sums. Why use it? 👉 Fast range sum queries 👉 Subarray sum problems #PythonTips #Coding #ProblemSolving #DataStructures

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CyberForge @obj899

a year ago

💡 Prefix Sum in Python A simple yet powerful technique to preprocess cumulative sums, enabling fast-range sum queries! Efficient for solving subarray problems in O(1) after O(n) preprocessing. #Python #Algorithms #PrefixSum #Leetcode #TechTips

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CyberForge @obj899

a year ago

⏱️ Time Complexity: • O(n) – Each node is processed at most once. 📦 Space Complexity: • O(1) – Uses only two pointers. Why use it? 👉 Detect cycles in linked lists 👉 Find the middle of a list #PythonTips #Coding #TechSkills #ProblemSolving

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CyberForge @obj899

a year ago

🐇 Fast & Slow Pointers in Python 🐢 One pointer moves fast, the other slow—great for detecting cycles, finding midpoints, and optimizing linked list traversal. Simple yet powerful! #Python #Algorithms #TwoPointers #Leetcode #TechTips

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CyberForge @obj899

a year ago

⏱️ Time Complexity: • O(n) – Each element is processed at most once. 📦 Space Complexity: • O(1) – In-place modifications. Why use it? ➡️ Simplifies array processing. ➡️ Perfect for problems like deduplication or filtering. #Programming #PythonTips #TechSkills #ProblemSolving

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CyberForge @obj899

a year ago

🔥 Read-Write Pointers Technique in Python Efficiently process arrays by reading with one pointer and writing with another. Perfect for filtering, removing duplicates, or customizing array transformations. #Python #Coding #Algorithms #TwoPointers #TechTips #Leetcode

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CyberForge @obj899

a year ago

⏱️ Time Complexity: O(n), as each element is processed at most twice. 📦 Space Complexity: O(1) or O(k), depending on the problem Why is it powerful? ➡️Reduces brute-force O(n²) to O(n). ➡️Perfect for fixed/dynamic window problems. #Programming #PythonTips #TechSkills

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CyberForge @obj899

a year ago

✨ Sliding Window Technique in Python Efficiently solve max/min subarray sums or longest unique substrings. Ideal for sorted arrays and a must-know for optimizing contiguous subarrays. #Python #Coding #Algorithms #SlidingWindow #TechTips #Leetcode

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CyberForge @obj899

2 years ago

⏱️ Time Complexity: - O(n), as we traverse the list once. 📦 Space Complexity: - O(1), constant space usage. Why is it powerful? 👉 Efficient for problems on sorted arrays. 👉 Intuitive for sum, difference, or distance constraints. #Programming #DataStructures #PythonTips

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CyberForge @obj899

2 years ago

🚀 Two Pointer Technique in Python Efficiently solve problems like finding pairs in sorted arrays or subarray sums. Here's a concise implementation: #Python #Coding #Algorithms #TwoPointer #TechTips #Leetcode