Data Science & Machine Learning

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Cheat sheet for working with data in Python (Data Science) 🐍📊 🔹 importing NumPy and pandas libraries — basic tools for data processing 🛠️ 🔹 text files — reading/writing plain text and working via context manager 📄 🔹 tabular CSV/flat files — loading and processing structured data into DataFrame 📊 🔹 Excel files — working with sheets and tables 📑 🔹 SAS/Stata files — importing statistical formats 📉 🔹 HDF5 and Pickle — saving and loading complex data structures 💾 🔹 MATLAB files — reading .mat via SciPy 🧮 🔹 relational databases (SQL) — connecting, querying, and converting results into DataFrame 🗄️ 🔹 Python dictionaries — accessing keys, values, and nested structures 🔑 🔹 data exploration (NumPy arrays and pandas DataFrames) — viewing types, sizes, and basic statistics 🔍 🔹 file system navigation — magic commands and os module for working with files and directories 📂 #Python #DataScience #Coding #Programming #Tech #Learning

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