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Introduction to Python for Data Analysis

DEV Community·Gabriel Njoroge·25 days ago
#MbLas286
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Python is a programming language used for data analysis, artificial intelligence, create software, apps and automation. Reason for Python Popularity It is east to read and learn because of its syntax. It works well with large datasets thus do ETL processes. It is good for visualization. Python can also automate tasks e.g generating reports It also has powerful libraries e.g pandas, matplotlib, scikit-learn. Python Libraries used in Data Analysis Pandas- It is used for tables and datasets Matplotlib-It is used for charts and graphs. Numpy-It is the fundamental package for computing in python. It provides support for large, multi-dimensional arrays and matrices. Scikit-learn-It is the go to machine learning library in python Real World examples of Python in Data Analytics Business and Finance-Used for customer and revenue analytics, customer lifetime modelling and risk and fraud detection.…

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