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VERSION:2.0
PRODID:-//McTimothy Associates
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:McTimothy Associates
X-ORIGINAL-URL:https://www.mctimothyassociates.com/product/python-data-analysis-with-numpy-and-pandas-virtual-training/
X-WR-CALDESC:Python Data Analysis with NumPy and Pandas
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DTSTART;TZID=Europe/Paris:20250116T100000
DTEND;TZID=Europe/Paris:20250118T160000
SUMMARY:Python Data Analysis with NumPy and Pandas
DESCRIPTION:Python Data Analysis with NumPy and Pandas     Overview This is a rapid introduction to NumPy, pandas and matplotlib for experienced Python programmers who are new to those libraries. Students will learn to: use NumPy to work with arrays and matrices of numbers; work with pandas to analyze data; and work with matplotlib from within pandas. Audience Students already familiar with Python programming. Prerequisites Basic Python programming experience. In particular, you should be very comfortable with: working with strings, lists, tuples and dictionaries; loops and conditionals; and writing your own functions. Course Outline Module 1. Jupyter Notebook Getting Started with Jupyter Notebook Creating Your First Jupyter Notebook Jupyter Notebook Modes Useful Shortcut Keys Markdown Magic Commands Getting Help Module 2. NumPy One-dimensional Arrays Multi-dimensional Arrays Getting Basic Information about an Array NumPy Arrays Compared to Python Lists Universal Functions Modifying Parts of an Array Adding a Row Vector to All Rows Random Sampling Module 3. pandas Series and DataFrames Accessing Elements from a Series Series Alignment Comparing One Series with Another Element-wise Operations Creating a DataFrame from NumPy Array Creating a DataFrame from Series Creating a DataFrame from a CSVl Getting Columns and Rows Cleaning Data Combining Row and Column Selection Scalar Data: at[] and iat[] Boolean Selection Plotting with matplotlib
URL:https://www.mctimothyassociates.com/product/python-data-analysis-with-numpy-and-pandas-virtual-training/
LOCATION:The professional Place, 12B Olumoroti Street Gbagada Phrase 2, Gbagada Lagos
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