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Scientific Computing in Python: Introduction to NumPy and Matplotlib

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@manishhgaur on Instagram: "Python Roadmap for Data Analysis📊 1. Foundations • Learn Python syntax: variables, loops, functions, classes. • Practice with Jupyter Notebook for interactive coding. • Understand data types (lists, dictionaries, tuples, sets). 2. Core Libraries • NumPy: numerical computing, arrays, vectorized operations. • Pandas: dataframes, data manipulation, cleaning, merging. • Matplotlib & Seaborn: visualizations (line, bar, scatter, heatmaps). 3. Data Handling • Import/export

KLE 's BCA College Nipani on Instagram: "🚀 Certification Course | Applied Machine Learning with Python 📍 KLE Society’s G. I. Bagewadi BCA College, Nipani 🔹 Day 1: Python for ML – Recap & Foundations Day 1 focused on recalling and strengthening essential Python skills for Machine Learning, covering Python basics such as data types, loops and functions, working with files and CSVs, NumPy and Pandas refreshers, data cleaning and preprocessing fundamentals, developing an Exploratory Data Analysis