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
Regardez 1.1K vidéos Reels sur Python Data de personnes du monde entier.
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PRsql x python
#datascience #machinelearning #womeninstem #learningtogether #progresseveryday #tech #consistency #sql #python #dataanalytics
@priyal.py
588.1K
PYComment "Projects" & I will DM You all the projects!
Here are 5 Python projects that can actually help you get hired:
1️⃣ Medical Data Extraction
2️⃣ Sports Celebrity Image Classification
3️⃣ T20 World Cup Cricket Analytics
4️⃣ Grocery Store Management System
5️⃣ Sales Insights for a Consumer Goods Brand
Like this reel, comment “Projects”, and share it with your friends!
Must follow to receive the source code in your DMs 👇🔥
#pythonprojects #datascienceprojects #pythonforbeginners #jobready #techreels #pycodehubb
@pycode.hubb
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CO3 EASY Python Project Ideas!!
#programming #coding #Python #programming #codinglife
@codes.student
35.6K
CO💥Types of Data Structure 💠
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Follow @coder_jetsetjoy
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#coding #programming #developer #development #code_helping #coder #webdeveloper #webdevelopment #leetcode #dsa #c++ #python #c #programmer #bca #beginner #cse #computerscience #frontend #backend
@coder_jetsetjoy
2.0M
JESave these fun python games for later! Learning to code for data science and data analytics doesn’t have to be boring😉
CodeMonkey:
https://www.codemonkey.com/courses/banana-tales/
Codewars:
https://www.codewars.com/collections/basic-python
CodeCombat:
https://codecombat.com/play
CheckiO
https://py.checkio.org/
#python #coding #programming #learn #pythondeveloper #tech #games #dataanalytics #datascience
@jessramosdata
284.5K
ENFree Complete python Certification course.
Save and Send the reel in my dm to get early access
Don't forget to share the reel with your fellow friends 😉
Hashtags 🔎
Follow @engineer_bhaiya_yt for more such valuable information.
#python #freecourses #pythondeveloper #course #datascience #roadmap
@engineer_bhaiya_yt
57.6K
SUData Analyst vs Data Scientist: What's the difference?
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#dataanalyst #datascientist #sql #python #dataanlysis
@sundaskhalidd
530.2K
PYFollow for more such videos 📷
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Qr code using python
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#python #programming #interview #coding
@python.science
770.9K
KANo laptop, no problem
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Day 1: Sign up and explore the interface, select your preferred language (e.g., Python).
Day 2: Complete “Basic Concepts” lesson including print statements and syntax.
Day 3: Learn about variables, data types, and user input handling.
Day 4: Practice basic operations and run simple calculator programs.
Day 5: Understand conditionals like if, elif, else and write small decision-based programs.
Day 6: Dive into loops (while, for) and try pattern or number-based exercises.
Day 7: Learn functions, parameters, and return values with examples.
Day 8: Explore lists and tuples with indexing and basic operations.
Day 9: Understand dictionaries and sets with use cases.
Day 10: Solve challenges from completed topics to reinforce logic.
Day 11: Start “Intermediate” section focusing on error handling and file operations.
Day 12: Practice OOP concepts like classes and objects.
Day 13: Take quizzes and daily challenges for revision.
Day 14: Explore Code Playground to write your own mini projects.
Day 15: Review progress, earn a certificate, and try another language track.
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Apps:
1. Sololearn – Interactive tutorials for Python, Java, C++, etc.
2. Mimo – Bite-sized lessons, supports Python, JavaScript, etc.
3. Grasshopper – Google’s app to learn JavaScript visually.
4. Enki – Daily coding workouts and tech knowledge.
5. Programming Hero – Gamified Python learning.
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#programming #language #coding #tips #tricks #students #jee #neet #dream #firstyear #admission #college #friends
@kaabil.engineer
103.9K
ASThis is the EXACT order I would learn Data Science in 2025.
Hi 😊 my name is Dawn. I’ve been a Data Scientist at Meta, Patreon and other startups. And have coached 20+ clients into landing their dream Data jobs in the past year.
1️⃣ Learn SQL
SQL is a must-have skill for every data professional because it’s the primary way you get data OUT of a database.
It’s also a very easy coding language to learn, so I would start there.
Use Interview Master to learn and practice SQL (link in bio):
→ Learn SQL: www.interviewmaster.ai/content/sql
→ Practice SQL: www.interviewmaster.ai/home
2️⃣ Start building Product Sense & Business Sense
Product sense & business sense basically means you know how to use Data to solve real problems.
I would start building this “soft” skill early because (1) it takes time to really learn this, and (2) as you’re learning Stats and Python, you already have context on how these might be used in the real world.
I found the book: Cracking the PM Career to be super helpful before I landed my first Data Science job.
3️⃣ Learn Statistics
How much Stats do you need for Data Science? Just the foundations, but you need to know it really really well.
→ Descriptive statistics
→ Common distributions
→ Probability and Bayes’ Theorem
→ Basic Machine Learning models
→ Experimentation concepts
→ A/B experiment design
Check out Stanford’s Introduction to Statistics, which is free on Coursera.
4️⃣ Learn Python
Python is the #1 skill for Data Scientists in 2025, but I put it 4th on this list because I find that it builds on skills 1-3.
I learned Python on my own using DataCamp’s Python Data Fundamentals (link in bio).
#datascience #datascientist #datacareers #dataanalyst #dataanalytics #techcareers #womenintech
@askdatadawn
43.2K
CO🐍 Top 15 Python Libraries Every Data Analyst Must Know 📊
If you are starting your Data Analytics journey, the right Python libraries can save you hours of effort and make your projects 10x more powerful. 🚀
Here’s a quick breakdown of the must-know libraries:
✅ Pandas → Data cleaning & manipulation
✅ NumPy → Fast numerical computing
✅ Matplotlib & Seaborn → Stunning visualizations
✅ Plotly → Interactive dashboards
✅ Scikit-learn → Easy machine learning
✅ Statsmodels & SciPy → Statistical analysis
✅ TensorFlow / PyTorch → Advanced AI & analytics
✅ OpenPyXL, Dask, BeautifulSoup, NLTK, SQLAlchemy → Excel automation, big data, web scraping, text analytics, and databases!
💡 Whether you’re preparing for a job, building projects, or just learning, these libraries are the backbone of Data Analytics.
👉 Save this reel for quick reference 🔖
👉 Share it with your data friends 🔄
👉 Follow @codeandcrush for more daily Data Analytics tips, tricks & career hacks 🚀
#python #dataanalytics #pythonlibraries #datascience #machinelearning #sql #powerbi #dataanalyst #learnpython #learnandgrow #careergoals #instagram #pythonprogramming #reelsi̇nstagram #trendings
@codeandcrush
✨ Guide de Découverte #Python Data
Instagram héberge 1K publications sous #Python Data, créant l'un des écosystèmes visuels les plus dynamiques de la plateforme.
#Python Data est l'une des tendances les plus engageantes sur Instagram en ce moment. Avec plus de 1K publications dans cette catégorie, des créateurs comme @jessramosdata, @sajjaad.khader and @kaabil.engineer mènent la danse avec leur contenu viral. Parcourez ces vidéos populaires anonymement sur Pictame.
Qu'est-ce qui est tendance dans #Python Data ? Les vidéos Reels les plus regardées et le contenu viral sont présentés ci-dessus.
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🔥 #Python Data montre un fort potentiel d'engagement - publiez stratégiquement aux heures de pointe
✍️ Légendes détaillées avec histoire fonctionnent bien - longueur moyenne 542 caractères
📹 Les vidéos verticales de haute qualité (9:16) fonctionnent mieux pour #Python Data - utilisez un bon éclairage et un son clair
✨ Beaucoup de créateurs vérifiés sont actifs (58%) - étudiez leur style de contenu
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Explorer Python Data#python#data#pythons#datas#python for data science#python for data analysis#datae#dataing