1.6M
SAHow to MASTER Python for FREE #coding #python #compsci #fyp
Inspo: @eczachly follow him for great data engineering content!
@sajjaad.khader
#Python Data Science Tutorial
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HAInput and typecasting in python
Join daily free live classes of PYTHON on HappyCoding YouTube channel
Offline batches are starting very soon in Jaipur!
#prishu #happycoding#happycodingwithprishu #programming #python #prishugawalia
@happycoding_with_prishu
11.3K
VOComment "DATA" for the links.
You Will Never Struggle With Data Science Again
📌 Learn the most important foundations with these beginner-friendly resources:
1️⃣ Learn Python for Data Science – FreeCodeCamp’s full beginner course
2️⃣ Essence of Linear Algebra – 3Blue1Brown’s visual, intuitive playlist
3️⃣ Statistics – A Full Lecture (2025) – step-by-step breakdown of core stats concepts
Stop feeling overwhelmed by Python, statistics, or linear algebra. These tutorials simplify the fundamentals of Data Science with clear explanations, visuals, and real-world examples.
Whether you’re preparing for a career in Data Science, getting into machine learning, or just curious about data analysis, this is the fastest way to finally understand how it all fits together.
Save this post, share it, and turn confusion into clarity with Python, Stats, and Linear Algebra for Data Science 📊
@volkan.js
121.4K
MAComment PROJECT to access my step-by-step Python tutorial that anyone can follow to build your very first geospatial dashboard web app! 🌍📊
A good number of portfolio projects is 3–5, and the types of projects you choose should reflect the kind of data role you’re going after.
A data analyst portfolio should look very different from a machine learning engineer one. Even within data science, a product/decision data scientist portfolio should focus on A/B testing and metrics storytelling—while an algorithm data scientist portfolio might highlight modeling and experimentation.
✨ Especially if you’re building your very first project, prioritize:
🌱 Real-world messiness (not polished Kaggle sets)
🌱 Business context and decision-making
🌱 Clear documentation (what you did and why)
🌱Visuals to help your work stand out
No one’s asking for perfection—they want to see how you think.
#datascienceportfolio #dataanalyst #learnpython #codingjourney #techcareers
@maggieindata
1.1M
CUMaster Python in 30Days❤️🤯
#python #pythonprogramming #interview #codingchallenge #coding #curiousfreaks #curiousfreakscheatsheet
@curious_freakss
30.4K
_P🐍Learning Python with AI
🔸️In this class, we're training students to learn Python faster with AI collaboration!
🔸️Here, Aidan uses ChatGPT to recreate a version of the classic arcade game Asteroids.
🔸️This is Aidan's 12th day of Python programming.
🔸️"But WAIT, if students don't learn procedural and syntax fundamentals, they'll never be able to troubleshoot their own code!"
🔸️Yes. I agree with you. I'm teaching them the basics and not overlooking the critical fundamentals. You're right.
🔸️Also, it's important to show them the capabilities offered through collaborating with a powerful tool and how to use it as a learning aid, ather than a shortcut. This is critical!
@cvcc.va
@a3_automate
🔸️Do you think programming is still a valuable skill given modern technology?
@_papamurph
53.7K
THData science from scratch.
It’s definitely not for complete beginners.
If you have a foundational knowledge of python then you’ll understand some of the concepts outlined.
It’s also not a tutorial book either, the best way to use this book is to find a part of it and apply it to a data set.
💡Turn “ON” Post and STORY Notification, I share valuable content regularly.
To get more information about the Data Science field follow @mlwithrish
#dataanalysis #machinelearning #datascience #bookstagram
@thedataevangelist
447.1K
ENDon't miss these👇🏻👇🏻 150+ Data Science projects you can try with Python 🖇️
Link👇🏻👇🏻
https://python.plainenglish.io/85-data-science-projects-c03c8750599e
Comment “Projects” for the link and send the reel in my dm to get early access
Don't forget to share the reel with your fellow friends 😉
Project research credit goes to @amankharwal.official i have just found these projects on internet 😀
Hashtags 🔎
#DataScienceCommunity #DataScience #DataScienceProjects #DataScienceEducation #datasciences #Python #PythonProjects #PythonProjects
@engineer_bhaiya_yt
81.9K
PR1. FastAPI – Build lightning-fast APIs with automatic docs and modern Python features.
2. Pydantic – Ensure clean, validated data using Python type hints.
3. Logging – Track your app’s behavior and debug issues with structured logs.
4. Testing – Catch bugs early with automated checks for your code and APIs.
5. Async Programming – Handle more with less waiting write non-blocking, efficient code.
6. Database Management – Store, query, and manage data reliably using ORMs and SQL tools.
#datascience #machinelearning #womeninstem #learningtogether #progresseveryday #tech #consistency
@priyal.py
29.8K
PYDay 1 of Python
..
#python3 #python #pycode #pythonhub #pythonlearning #coding #coder #programming
@pycode.hubb
1.3M
SWIf I was a beginner learning to code, I would use this Python roadmap step by step for beginners 💪 #coding #codingforbeginners #learntocode #codingtips #cs #python #computerscience #usemassive
@swerikcodes
1.0M
SHData Analytics interviews does not require complex Python Programming knowledge. I have created a PDF which contains required Python syllabus and free resources to learn.
Please comment “Python” to get the PDF directly to your DM !!
#python #coding #programming #2025
#tech #datascience #dataanalytics
@shakra.shamim
✨ Руководство по #Python Data Science Tutorial
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