Python libraries fuel every field: Django & Flask for web, NumPy & Pandas for data, TensorFlow & PyTorch for ML, Matplotlib & Seaborn for visualization, NLTK & SpaCy for NLP, PyCryptodome for security, Scrapy for scraping, Geopandas for GIS. #Python #DataScience

R and Python, akin to twin stars illuminating the data universe, offer distinct yet complementary approaches to data analysis. https://t.co/f0D2BDj2M8 #DataScience #Pythonprogramming #RStats #datascientists #machinelearning #ArtificialIntelligence #codinglife #datasets

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𝗦𝗼𝗺𝗲𝘁𝗶𝗺𝗲𝘀 𝗽𝗿𝗼𝗴𝗿𝗲𝘀𝘀 𝗶𝘀 𝗾𝘂𝗶𝗲𝘁, 𝗯𝘂𝘁 𝗵𝗼𝗻𝗲𝘀𝘁. Day 8 of my 75 Days of Productivity Challenge. Completed “Python for Data Science, AI & Development” by @IBM on @coursera . Namaz✅ Gym✅ Communication✅ #75DaysProductivity #DataScience #Consistency

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Top Python tools every developer should know: Pandas & NumPy for analysis, SciPy for computation, Matplotlib & Seaborn for visualization, SQLAlchemy & PyMySQL for databases, Airflow & Luigi for data engineering, Keras for ML, and Jupyter for research. #Python #DataScience #AI

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Final week of classes for 2025, and we’re closing strong. “Exploratory Data Analysis with Python” Asking better questions, reading the data honestly and letting insights speak. #ClickOnKadunaDSFP #datascience

Practical Linear Algebra for #DataScience — From Core Concepts to Applications Using #Python — https://t.co/8QArjk4Cwi ———— #DataScientist #AI #ML #MachineLearning #Mathematics #LinearAlgebra

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📌📚Python is a versatile language that can be used for various applications such as web development, data analysis, artificial intelligence, machine learning, and more. https://t.co/KhPI53gKZ4 #DataScience #pythonprogramming #MachineLearning #ArtificialIntelligence #datasets