Python Advanced

Length 1 day

Course overview

View dates &
book now

Why study this course

Python is a very versatile programming language, broad in its application due to its simplicity and power. While it can be used for automation, artificial intelligence, web development, and more, this series of courses focuses on using Python for data analysis. You'll learn to manipulate, analyse, and visualise data more effectively with Python and related tools and libraries.

Following on from the Python Intermediate course, this Advanced course will build on your knowledge of Python and pandas. The focus of this course is learning to work more efficiently in Python.

You'll learn to use control flow structures and loops, and write your own custom functions and classes to automate analyses and improve efficiency. You'll learn how to use method chaining and pipes to perform multiple operations on DataFrames, how to create interactive visualisations with Bokeh, and write code to automate these processes.

Nexacu Public Schedule

Nexacu is part of the Lumify Group, offering you the largest public schedule of end user applications and professional development training in Australia, New Zealand, and the Philippines. You can now access the schedule of courses and book, by clicking on the button below.

Book now!

Request Course Information

What you’ll learn

After completing this course, students will be able to:

Create user-defined functions and classes
Use loops, control structures, and efficient alternatives like list comprehensions
Perform multiple operations on DataFrames using method chaining and piping
Create interactive data visualisations using Bokeh
Write reusable code to automate data processing workflows

Python at Lumify Work

Lumify Work's Python offering has been refreshed to include courses which fully align to certifications from the Python Institute. Our courses are delivered by Python programming experts who can structure their topic flow to your goals and functions, whether it's Python for automation or for data science or for finance.

View all Python at Lumify Work courses

Who is the course for?

This course is intended for those who want to learn to work more efficiently in Python.

Course subjects

Introduction

Working more efficiently in Python
Automating frequent data analysis operations
Principles of working more efficiently with code

User-Defined Functions

When to create your own functions
Function basics
Parameters
Positional vs keyword arguments
Defining a function
Indentation
Scope
*args and **kwargs
Unpacking operators
Order of arguments in a function
Adding a docstring
Assertions
Loafing functions for reuse
lambda expressions

Loops and Other Control Structures

if…elif...else
for loops
Loop over sequences
Loop over ranges
Enumerate
Loop over pandas groups
Loop over multiple lists
while loops
else, break, and continue
Saving results from a loop
Combining loops and functions

Loop and if-else Alternatives

np.where() and np.select()
Conditional expressions
List comprehensions
Python built-in map() function
Evaluating performance efficiency
IPython and magic commands
pandas map()
pandas apply() and applymap()

User-Defined Classes

When to create your own class
Defining classes
Docstrings
The __init__() method
The self parameter
Class objects – attribute references and instantiation
Data attributes
Methods
Scope
Dunder methods

Performing Multiple Operations on DataFrames

Method chaining
Using pandas pipes with custom functions

Interactive Visualisations with Bokeh

Bokeh basics
Working with Bokeh in Jupyter
Glyphs
Providing data
Using the Bokeh toolbar
Customising the Bokeh toolbar
Creating links between plots
Using interactive legends
Adding tooltips
Plotting from a grouped pandas DataFrame
Saving your Bokeh chart

Prerequisites

Students should have completed the Python Beginner and Intermediate courses, or have equivalent experience and knowledge. You should be comfortable with Python syntax, data structures, pandas DataFrames, and basic plotting with Matplotlib.

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.