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OnSpace Mobile App builder: Build AI Apps in minutes
With OnSpace, you can build website or AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.
π₯ What will you get:
β’ π€ Create app or website by chatting with AI;
β’ π§ Integrate with Any top AI power just by giving order (like Sora2, Nanobanan Pro & Gemini 3 Pro);
β’ π¦ Download APK,AAB file, publish to AppStore.
β’ π³ Add payments and monetize like in-app-purchase and Stripe.
β’ π Functional login & signup.
β’ π Database + dashboard in minutes.
β’ π₯ Full tutorial on YouTube and within 1 day customer service
π Visit website:
π https://www.onspace.ai/?via=tg_bigdata
π² Or Download app:
π https://onspace.onelink.me/za8S/h1jb6sb9?c=bigdata
With OnSpace, you can build website or AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.
π₯ What will you get:
β’ π€ Create app or website by chatting with AI;
β’ π§ Integrate with Any top AI power just by giving order (like Sora2, Nanobanan Pro & Gemini 3 Pro);
β’ π¦ Download APK,AAB file, publish to AppStore.
β’ π³ Add payments and monetize like in-app-purchase and Stripe.
β’ π Functional login & signup.
β’ π Database + dashboard in minutes.
β’ π₯ Full tutorial on YouTube and within 1 day customer service
π Visit website:
π https://www.onspace.ai/?via=tg_bigdata
π² Or Download app:
π https://onspace.onelink.me/za8S/h1jb6sb9?c=bigdata
β€2
β
Top 5 Mistakes to Avoid When Learning Python βπ
1οΈβ£ Skipping the Basics
Many learners rush to libraries like Pandas or Django. First, master Python syntax, data types, loops, functions, and OOP. It builds the foundation.
2οΈβ£ Ignoring Indentation Rules
Python uses indentation to define code blocks. One wrong space can break your code β always stay consistent (usually 4 spaces).
3οΈβ£ Not Practicing Enough
Watching tutorials alone wonβt help. Code daily. Start with small scripts like a calculator, quiz app, or text-based game.
4οΈβ£ Avoiding Errors Instead of Learning from Them
Tracebacks look scary but are helpful. Read and understand error messages. They teach you more than error-free code.
5οΈβ£ Relying Too Much on Copy-Paste
Copying code without understanding kills learning. Try writing code from scratch and explain it to yourself line-by-line.
π¬ Tap β€οΈ for more!
1οΈβ£ Skipping the Basics
Many learners rush to libraries like Pandas or Django. First, master Python syntax, data types, loops, functions, and OOP. It builds the foundation.
2οΈβ£ Ignoring Indentation Rules
Python uses indentation to define code blocks. One wrong space can break your code β always stay consistent (usually 4 spaces).
3οΈβ£ Not Practicing Enough
Watching tutorials alone wonβt help. Code daily. Start with small scripts like a calculator, quiz app, or text-based game.
4οΈβ£ Avoiding Errors Instead of Learning from Them
Tracebacks look scary but are helpful. Read and understand error messages. They teach you more than error-free code.
5οΈβ£ Relying Too Much on Copy-Paste
Copying code without understanding kills learning. Try writing code from scratch and explain it to yourself line-by-line.
π¬ Tap β€οΈ for more!
β€7
Dear friends π,
I want 2026 to be a year of bonding, connections, and real conversations π€
For years, we have shared courses, resources, news, and knowledge. But I want to talk with you, ask questions, give answers, and learn together.
With over 10 years in data science, software engineering, and AI π€, I have built and shipped real world systems that generated millions of dollars. I have made mistakes, learned valuable lessons, and I am always happy to share my experience openly.
β Feel free to ask me anything
Career, learning paths, real projects, tech decisions, or doubts.
This is why I am reminding you that each channel has its own discussion group.
You can open it via
or via the links below π
π Channels and their discussion groups
β’ Free courses by Big Data Specialist
β linked discussion group
β’ Data Science / ML / AI
β linked discussion group
β’ GitHub Repositories
β linked discussion group
β’ Coding Interview Preparation
β linked discussion group
β’ Data Visualization
β linked discussion group
β’ Python Learning
β linked discussion group
β’ Tech News
β linked discussion group
β’ Logic Quest
β linked discussion group
β’ Data Science Research Papers
β linked discussion group
β’ Web Development
β linked discussion group
β’ AI Revolution
β linked discussion group
β’ Talks with ChatGPT
β linked discussion group
β’ Programming Memes
β linked discussion group
β’ Code Comics
β linked discussion group
π¬ Join the conversations, ask questions, share your journey.
Looking forward to connecting with you all π
I will share this message across all our channels so everyone can see it. Hope you do not mind π
See you in the discussions π
I want 2026 to be a year of bonding, connections, and real conversations π€
For years, we have shared courses, resources, news, and knowledge. But I want to talk with you, ask questions, give answers, and learn together.
With over 10 years in data science, software engineering, and AI π€, I have built and shipped real world systems that generated millions of dollars. I have made mistakes, learned valuable lessons, and I am always happy to share my experience openly.
β Feel free to ask me anything
Career, learning paths, real projects, tech decisions, or doubts.
This is why I am reminding you that each channel has its own discussion group.
You can open it via
channel name β Discuss button
or via the links below π
π Channels and their discussion groups
β’ Free courses by Big Data Specialist
β linked discussion group
β’ Data Science / ML / AI
β linked discussion group
β’ GitHub Repositories
β linked discussion group
β’ Coding Interview Preparation
β linked discussion group
β’ Data Visualization
β linked discussion group
β’ Python Learning
β linked discussion group
β’ Tech News
β linked discussion group
β’ Logic Quest
β linked discussion group
β’ Data Science Research Papers
β linked discussion group
β’ Web Development
β linked discussion group
β’ AI Revolution
β linked discussion group
β’ Talks with ChatGPT
β linked discussion group
β’ Programming Memes
β linked discussion group
β’ Code Comics
β linked discussion group
π¬ Join the conversations, ask questions, share your journey.
Looking forward to connecting with you all π
I will share this message across all our channels so everyone can see it. Hope you do not mind π
See you in the discussions π
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Programming, data science, ML - free courses by Big Data Specialist
Programming, Data and AI learning
Free courses, roadmaps and study materials.
Python, data science, ML, big data, AI, web, system design.
Join π https://rebrand.ly/bigdatachannels
DMCA: @disclosure_bds
Contact: @mldatascientist
Free courses, roadmaps and study materials.
Python, data science, ML, big data, AI, web, system design.
Join π https://rebrand.ly/bigdatachannels
DMCA: @disclosure_bds
Contact: @mldatascientist
β€5
π° 4 Unique Steps to Become a Python Expert in 2026
1οΈβ£ Understand Python Internals:
β¨ Example: Debugging a slow script by identifying memory leaks.
2οΈβ£ Leverage Async Programming:
β¨ Example: Using async to handle thousands of API requests without crashing.
3οΈβ£ Create & Publish Python Packages:
β¨ Example: Publishing your own data-cleaning toolkit for others to use.
4οΈβ£ Master Python for Emerging Tech:
β¨ Example: Building an AI chatbot with Hugging Face APIs.
1οΈβ£ Understand Python Internals:
Learn how Python handles memory (GIL), garbage collection, and optimize code performance.
β¨ Example: Debugging a slow script by identifying memory leaks.
2οΈβ£ Leverage Async Programming:
Master async/await to build scalable and faster applications.
β¨ Example: Using async to handle thousands of API requests without crashing.
3οΈβ£ Create & Publish Python Packages:
Build reusable libraries, document them, and share on PyPI.
β¨ Example: Publishing your own data-cleaning toolkit for others to use.
4οΈβ£ Master Python for Emerging Tech:
Dive into areas like quantum computing (Qiskit) or AI (Hugging Face).
β¨ Example: Building an AI chatbot with Hugging Face APIs.
β€4
π Python Mastery Roadmap
1οΈβ£ Basics β Syntax, loops, functions, exceptions
2οΈβ£ DS & Algorithms β Arrays, stacks, recursion, sorting
3οΈβ£ Modules & Advanced β Lambdas, decorators, regex
4οΈβ£ OOP β Classes, inheritance, dunder methods
5οΈβ£ Packages & Comprehensions β pip, conda, list comps
6οΈβ£ Frameworks & Concurrency β Flask, FastAPI, threading
7οΈβ£ Pro Skills β Typing, Testing, Docs, Docker, CI/CD
π― Stay consistent, build projects, master Python.
1οΈβ£ Basics β Syntax, loops, functions, exceptions
2οΈβ£ DS & Algorithms β Arrays, stacks, recursion, sorting
3οΈβ£ Modules & Advanced β Lambdas, decorators, regex
4οΈβ£ OOP β Classes, inheritance, dunder methods
5οΈβ£ Packages & Comprehensions β pip, conda, list comps
6οΈβ£ Frameworks & Concurrency β Flask, FastAPI, threading
7οΈβ£ Pro Skills β Typing, Testing, Docs, Docker, CI/CD
π― Stay consistent, build projects, master Python.
β€6
Forwarded from Programming Quiz Channel