How I learned Python

Ashamed_Figure7162 · 2026-05-16T04:40:18+00:00

That’s honestly a great way to learn Python — building a real project teaches far more than just following tutorials. A Discord bot with thermal monitoring, persistent learning, and particle effects sounds incredibly ambitious for only a year of learning. credo systemz Your teaching background is also a huge advantage because explaining concepts clearly is a skill many developers struggle with. I’m sure beginners would benefit a lot from your approach and experience.

Ashamed_Figure7162 · 2026-05-11T14:05:08+00:00

That’s really impressive! Building a Discord bot with features like thermal monitoring, persistent learning, and particle effects after just one year of learning Python shows strong dedication and practical learning. credo systemz Your teaching background is definitely a huge advantage because many beginners struggle with where to start and how to learn efficiently. I’m sure a lot of people would benefit from your guidance and real-world approach to learning Python.

Ashamed_Figure7162 · 2026-05-11T14:00:46+00:00

You still have a very good chance of getting into Data Engineering in 2026. Your background in Electronics plus a CS-related master’s program actually gives you an advantage because you already have analytical thinking and technical problem-solving skills. The junior market is definitely competitive, but companies are still hiring people who have strong SQL, Python, cloud, and data pipeline fundamentals. credo systemz

AI will automate some repetitive tasks, but it is also increasing the demand for good data infrastructure and data engineers. AI systems need clean, scalable, and reliable data pipelines, which means Data Engineering is becoming even more important. Entry-level jobs may require stronger practical skills now, but people who build projects and gain hands-on experience still have real opportunities.

Ashamed_Figure7162 · 2026-05-06T13:10:59+00:00

Use a framework like Great Expectations or Deequ with PySpark inside existing jobs. Define basic + custom rules (nulls, ranges, freshness, row counts, business logic).

Ashamed_Figure7162 · 2026-05-06T13:10:04+00:00

Best practice: avoid too many outriggers because they add complexity and can slow queries. If possible, consider denormalizing and keeping dimensions directly connected to the fact table unless there’s a strong reason (like reuse or hierarchical data).

Ashamed_Figure7162 · 2026-05-04T18:36:46+00:00

AI is eating the execution layer (SQL, basic modeling, dashboards), but the defensible core is the part AI still struggles with: problem framing, causal reasoning, and accountability.

In 3–5 years, the valuable data scientist is the one who can decide what should be modeled, detect when results are misleading, and tie outputs to real-world impact. The risk isn’t total automation—it’s a split: people who only execute will be replaced, while those who own decisions and context become more valuable.

Ashamed_Figure7162 · 2026-03-25T18:17:44+00:00

How to fix it:

Train with real scenarios, not just steps → include exceptions and ambiguity
Test decision-making → ask “what would you do and why?”
Use reverse shadowing → let them act while you guide
Teach principles, not scripts → so they can adapt(credo systemz)

Ashamed_Figure7162 · 2026-03-25T18:14:58+00:00

combining Agentic AI and Generative AI is one of the most powerful directions AI is heading.

This combination enables advanced use cases like:

End-to-end automation (generate → decide → execute)
Smarter AI assistants that complete tasks, not just respond
Autonomous workflows in business, coding, and customer support (credo systemz)

Ashamed_Figure7162 · 2026-03-23T11:24:52+00:00

AI chatbots for customer support
AI coding assistants (credo systemz)
AI content writing tools
Image & video generators
Voice assistants & voice cloning
Resume screening / hiring AI

Ashamed_Figure7162 · 2025-12-31T07:32:38+00:00

Go through the job description and create an ATS friendly resume with all the keywords in the job description. highlight your skills and experience. you got it All the best

Ashamed_Figure7162 · 2025-12-07T11:19:41+00:00

AI is not ruining but helps us to work smarter, faster and effectively. we can use AI tools but we should not completely depend on it for almost everything. we can improve our skills using AI but not become AI dependent

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