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Home > Technical Courses > Python > Advanced Python Programming: With NumPy and Pandas
This is a rapid introduction to NumPy, pandas and matplotlib for experienced Python programmers.
This is a rapid introduction to NumPy, pandas and matplotlib for experienced Python programmers who are new to those libraries. You 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.
Category
ID
Duration
Level
Price
Python
13719
2 Day(s)
Advanced
$950.00
Objectives
• Jupyter Notebook• Magic Commands• NumPy• One-dimensional & Multi-dimensional Arrays• Universal Functions• pandas
1. Jupyter Notebook· Getting Started with Jupyter Notebook· Creating Your First Jupyter Notebook· Jupyter Notebook Modes· Useful Shortcut Keys· Markdown· Magic Commands· Getting Help2. 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
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
Questions?
MTA: Introduction to Programming Using PythonCertified Associate In Python Programming Certification
Basic Python programming experience. In particular, you should be very comfortable with: • Working with strings, lists, tuples and dictionaries; loops and conditionals • • Writing your own functions.
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