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12 Απρ 2018 · why python for data analysis? • Python can be run in a variety of environments with various tools • From the command line (most Mac’s have Python installed by default)
27 Φεβ 2024 · Python for Data Analysis. Wes McKinney. 2013. 1. preliminaries2. introductory examples3. IPython: interactive computing4. NumPy basics: arrays and vectorized...
25 Ιουν 2013 · This tutorial will introduce the use of Python for statistical data analysis, using data stored as Pandas DataFrame objects. Much of the work involved in analyzing data resides in importing, cleaning and transforming data in preparation for analysis.
From statistical programming to deep learning to network application to web crawling to embedded systems, you will always have a ready-made library in Python. If you learn this language, you do not have to stick to a specific use case.
practical case studies of data analysis problems effectively. You will learn pandas, NumPy, IPython, and Jupiter in the Process. Who Should Read This? This book is a practical introduction to data science tools in Python. It is ideal for analyst’s beginners to Python and for Python programmers new to data science and computer science.
It specifically targets statistical data visualization. The first one is mostly used for regular analysis using R style formulas, while scikit-learn is more tailored for Machine Learning. many more ... Thank you for attending the tutorial.
An Introduction to Statistical Learning with Applications in PYTHON - EllaGab/An-Introduction-to-Statistical-Learning-in-Python
