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Feature scaling in machine learning
Learn how feature scaling in machine learning improves model performance through normalization, standardization, and robust scaling techniques used during data preprocessing.
Khayyam Hashmi
Mar 26 · 2026
How agentic AI and AGI are connected
This blog explains how agentic AI and AGI are connected by showing that agentic systems introduce key behaviors like autonomy, planning, and feedback loops, but still operate within constraints. It clarifies that agentic AI represents today’s practical systems, while AGI remains a broader, future goal of general intelligence.
Zarish Khalid
Mar 26 · 2026
What skills are in demand for Python developer roles right now?
This blog explains what skills are most in demand for Python developer roles right now by emphasizing a shift from basic Python knowledge to system-level thinking. It highlights the importance of core engineering fundamentals, backend development, data and AI skills, cloud literacy, and strong collaboration abilities for long-term career growth.
Khayyam Hashmi
Mar 25 · 2026
How to start coding SQL in VSCode
This blog explains how to start coding SQL in VSCode by guiding beginners through setting up the editor, installing SQL extensions, connecting to a database, and running queries. It highlights key tools, common issues, and best practices for building a simple SQL development workflow inside VSCode.
Zarish Khalid
Mar 25 · 2026
Why learn TypeScript and how it improves JavaScript development
This blog explains why developers learn TypeScript by highlighting how it improves JavaScript with static typing, better tooling, and early error detection. It shows how TypeScript makes large codebases more maintainable, scalable, and easier to work with in modern development environments.
Naeem ul Haq
Mar 19 · 2026
How can you start a career in data engineering?
This blog explains how to start a career in data engineering by outlining the role, core skills, tools, and a structured learning roadmap from beginner to advanced levels. It emphasizes mastering programming, SQL, data pipelines, and cloud platforms while building real-world projects to gain practical experience.
Zarish Khalid
Mar 19 · 2026
How to solve dynamic programming problems
This blog explains how to solve dynamic programming problems using a structured approach that involves defining states, identifying recurrence relations, and choosing between memoization or tabulation. It also covers key DP patterns, practical examples like Fibonacci, and tips to build intuition through practice.
Zarish Khalid
Mar 18 · 2026
How to learn SQL for beginners
This blog explains how to learn SQL for beginners by covering core concepts like queries, filtering, joins, and aggregation, along with a structured learning roadmap. It emphasizes practicing with real-world datasets, understanding relational databases, and overcoming common challenges to build long-term SQL skills.
Khayyam Hashmi
Mar 18 · 2026
How to use NumPy in Python
This blog explains how to use NumPy in Python, covering its core concepts like arrays, vectorized operations, and performance benefits, along with basic setup and common use cases in data science and machine learning.
Zarish Khalid
Mar 18 · 2026
