#Matplotlib Python

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#Matplotlib Python Reel by @michaellin250 - 🐍🚀 30 Days Python Roadmap 🚀🐍 📅 Day 1: Dive into Python basics - variables, data types, and loops! 💻🔤 📅 Day 5: Explore functions , conditiona
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@michaellin250
🐍🚀 30 Days Python Roadmap 🚀🐍 📅 Day 1: Dive into Python basics - variables, data types, and loops! 💻🔤 📅 Day 5: Explore functions , conditional statements , data structures - building blocks of Python! 🧱🔁 📅 Day 10: Get hands-on with Python libraries - NumPy, Pandas, and Matplotlib! 📈📊🎉 📅 Day 15: Master the art of working with files and handling exceptions! 📂🚫💾 📅 Day 20: Level up your skills with Object-Oriented Programming (OOP) in Python! 🧬🔄👨‍💻 📅 Day 25: Unleash the power of Python web frameworks - Flask or Django! 🌐🌟💻 📅 Day 30: Congratulations, you’ve completed the Python roadmap! 🎓🎉 Now build something awesome! 🚀💡 ( Eg : virtual pet , email automator etc ) Still having problems ? Follow this github repo : https://github.com/Asabeneh/30-Days-Of-Python #softwareengineer #softwaredeveloper #python #30daysofpythob #30daysofcoding #developers #java #coding #programmerslife #coding #coders #github #githubrepository #100daysofcodechallenge
#Matplotlib Python Reel by @priyal.py - 1. Netflix Show Clustering Group similar shows using K-Means based on genre, rating, and duration. Tech Stack: Python, Pandas, Scikit-learn, Seaborn
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@priyal.py
1. Netflix Show Clustering Group similar shows using K-Means based on genre, rating, and duration. Tech Stack: Python, Pandas, Scikit-learn, Seaborn 2. Spotify Audio Feature Analyzer Analyze songs by tempo, energy and danceability using Spotify API. Tech Stack: Python, Spotipy, Matplotlib, Plotly 3. YouTube Trending Video Analyzer Discover what makes a video go viral. Tech Stack: Python, Pandas, BeautifulSoup, Seaborn 4. Resume Scanner using NLP Parse and rank resumes based on job description matching. Tech Stack: Python, SpaCy, NLTK, Streamlit 5. Crypto Price Predictor Predict BTC/ETH prices using historical data. Tech Stack: Python, LSTM (Keras), Pandas, Matplotlib 6. Instagram Hashtag Recommender Suggest hashtags based on image captions or niche. Tech Stack: Python, NLP, TF-IDF, Cosine Similarity 7. Reddit Sentiment Tracker Analyze community sentiment on hot topics using Reddit API. Tech Stack: Python, PRAW, VADER, Plotly 8. AI Job Postings Dashboard Scrape and visualize job trends by tech stack and location. Tech Stack: Python, Selenium/BeautifulSoup, Streamlit 9. Airbnb Price Estimator Predict listing prices based on location and amenities. Tech Stack: Python, Scikit-learn, Pandas, XGBoost 10. Food Calorie Image Classifier Estimate calories from food images using CNNs. Tech Stack: Python, TensorFlow/Keras, OpenCV Each project can be completed in 1-2 weekends. #datascience #machinelearning #womeninstem #learningtogether #progresseveryday #tech #consistency #projects
#Matplotlib Python Reel by @b.s.atom - The wave function (squared, so probability density) of an electron within a hydrogen atom is determined by several quantum numbers. First, there is th
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@b.s.atom
The wave function (squared, so probability density) of an electron within a hydrogen atom is determined by several quantum numbers. First, there is the principal quantum number (n), which affects the energy level (higher values imply higher energy and weaker binding to the nucleus). Next, there is the azimuthal number (l), which ranges from 0 to n-1 and primarily influences the orbital's shape. Lastly, the magnetic quantum number (m) varies from -l to l and plays a crucial role in determining the orbital's orientation. These quantum numbers collectively define the electron's behavior within the hydrogen atom. #quantumphysics #hydrogen #wavefunction #quantum #physics #python #matplotlib
#Matplotlib Python Reel by @sandreke99 - Plantamos un jardín de flores con código? 👨‍💻 El código en el canal de Telegram: 🔗 t.me/sandreke99canal #matplotlib #3d #3dflower #python #python
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@sandreke99
Plantamos un jardín de flores con código? 👨‍💻 El código en el canal de Telegram: 🔗 t.me/sandreke99canal #matplotlib #3d #3dflower #python #pythonprogramming #programacion #programming #graficos #tecnologia #sandreke
#Matplotlib Python Reel by @askdatadawn (verified account) - Tbh after being a Data Scientist for 6 years, I still don't know some stuff on that 2nd list 😅 Trying to learn ALL of Python at once is so intimidat
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@askdatadawn
Tbh after being a Data Scientist for 6 years, I still don’t know some stuff on that 2nd list 😅 Trying to learn ALL of Python at once is so intimidating Don’t put that pressure on yourself. Instead only focus on these must-know concepts, and you can ignore stuff on the “Not Now” list for now. MUST KNOW PYTHON CONCEPTS • Basic syntax: variables, data types, loops • Writing custom functions • Lists, tuples, dictionaries • List comprehensions • String manipulation • Reading and writing files • Try/except error handling • Importing and using libraries • Pandas basics – Series vs DataFrame • Selecting and filtering data • Groupby and aggregations • Merging or joining data • Sorting and ranking data • Handling missing values • Basic plotting – matplotlib • Working with dates – e.g. pd.to_datetime, .dt NOT NOW • Object oriented programming – classes, inheritance • Generators and decorators • Custom context managers • Writing modules or packages • Virtual environments and dependency management • Multiprocessing or multithreading • Async programming • Advanced pandas tuning – eval, query • Unit testing and CI/CD • Custom exception classes • Functional programming tricks – map, reduce, lambdas everywhere • Building web APIs – Flask, FastAPI #python #datascience #datascientist #datascienceinterview
#Matplotlib Python Reel by @rajniyadav.in - 1️⃣ Zomato Data Analysis Using Python https://www.geeksforgeeks.org/zomato-data-analysis-using-python/ 2️⃣ Uber Rides Data Analysis using Python http
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@rajniyadav.in
1️⃣ Zomato Data Analysis Using Python https://www.geeksforgeeks.org/zomato-data-analysis-using-python/ 2️⃣ Uber Rides Data Analysis using Python https://www.geeksforgeeks.org/uber-rides-data-analysis-using-python/ 3️⃣ Weather Data Analysis https://www.geeksforgeeks.org/how-to-extract-weather-data-from-google-in-python/ 4️⃣ iPhone Sales Analysis https://www.geeksforgeeks.org/active-product-sales-analysis-using-matplotlib-in-python/ 5️⃣ IPL 2023 Data Analysis https://www.geeksforgeeks.org/ipl-2023-data-analysis-using-pandas-ai/ ✅ Share this reel with me to get all links and my FREE Data Analyst Roadmap pdf. ✅ Join my free telegram channel where I post all resources that you need to become a data analyst. P.S. If you are not able to get link in your dm, please check links in my bio. #data #dataanalyst #datascience #businessanalyst #jobprep #interviewprep #job #jobs #placement #internship #jobsearch #tech #roadmap #collegestudents #sql #careerindataanalytics #resume #datanalystjobs #jobfindingtips #jobtips | data analyst | business analyst | data science
#Matplotlib Python Reel by @oceanacademy_official - 🚀Data Analysis with Python: 🔥Explore, clean, and interpret data efficiently using Python libraries like Pandas, NumPy, and Matplotlib to uncover i
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@oceanacademy_official
🚀Data Analysis with Python: 🔥Explore, clean, and interpret data efficiently using Python libraries like Pandas, NumPy, and Matplotlib to uncover insights and support decisions. ✨ Simplify data cleaning with Python libraries! 🐍💻 1️⃣ NumPy: Efficiently handle missing data and reshape it as needed. 2️⃣ Pandas: Transform messy data into organized, clean tables. 3️⃣ Seaborn: Visualize data to easily detect patterns and outliers. 4️⃣ Matplotlib: Create precise plots for deeper data analysis. 5️⃣ Python: The backbone of all these powerful tools! #dataanalysis #pythonprogramming #DataCleaning #numpy #pandas #seaborn #Matplotlib #DataScience #cleandata #datavisualization #techtools #python #coding #trending #reelsinstagram #software
#Matplotlib Python Reel by @codeandcrush - 🐍 Top 15 Python Libraries Every Data Analyst Must Know 📊 If you are starting your Data Analytics journey, the right Python libraries can save you h
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@codeandcrush
🐍 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
#Matplotlib Python Reel by @tom.developer (verified account) - You all loved my latest project, so of course I had to add some new features! 🏎️ F1 Race Replay allows you to watch a race unfold from above, enabli
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@tom.developer
You all loved my latest project, so of course I had to add some new features! 🏎️ F1 Race Replay allows you to watch a race unfold from above, enabling you to see everything that happens all at once! 📺 The new features include: - Driver Tyre Information 🛞 - Driver Telemetry Insights 📈 - Track Status Indicators 🚥 We’ve also already had the first external pull request, where another developer added in the ability to resize the window to fit any screen! 🖥️ It’s open-source, so anyone can download the code, have a play and even contribute features of their own for everyone else to enjoy! 🚀
#Matplotlib Python Reel by @iron.coding - Full-stack projects Coding project 2025 💻 In this video, I'm sharing five complete full-stack projects that I've personally built - including an e-c
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@iron.coding
Full-stack projects Coding project 2025 💻 In this video, I’m sharing five complete full-stack projects that I’ve personally built — including an e-commerce store, admin dashboard, SaaS web app, chat application, and more. These projects are worth over $20,000, but I’m giving them away completely free. You can use them to enhance your resume, learn real-world full-stack development, or customize and sell them to your clients. These projects are perfect for web developers and software or app developers. This is hidden gem for coder and programmers. #webdevelopment #coding #html #css #javascript #java #python #pythonprogramming #pythoncode
#Matplotlib Python Reel by @mar_antaya (verified account) - This is step 1 to build your own ML model! Grabbing and aggregating your data! #formulaone #data #machinelearning
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@mar_antaya
This is step 1 to build your own ML model! Grabbing and aggregating your data! #formulaone #data #machinelearning
#Matplotlib Python Reel by @edhonour (verified account) - Anaconda is a Python distribution that supports separate environments. Library version conflicts are a bug problem with Python that Anaconda helps you
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@edhonour
Anaconda is a Python distribution that supports separate environments. Library version conflicts are a bug problem with Python that Anaconda helps you avoid.

✨ #Matplotlib Python Discovery Guide

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#Matplotlib Python is one of the most engaging trends on Instagram right now. With over thousands of posts in this category, creators like @michaellin250, @priyal.py and @rajniyadav.in are leading the way with their viral content. Browse these popular videos anonymously on Pictame.

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Analysis of 12 reels

✅ Moderate Competition

💡 Top performing posts average 1.9M views (2.6x above average). Moderate competition - consistent posting builds momentum.

Post consistently 3-5 times/week at times when your audience is most active

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💡 Top performing content gets over 10K views - focus on engaging first 3 seconds

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📹 High-quality vertical videos (9:16) perform best for #Matplotlib Python - use good lighting and clear audio

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