Advanced Python 3 Programming - updated for 2018
About this Course
|Course Type||Course Code||Duration|
In this Python training course, students already familiar with Python programming will learn advanced Python techniques such as IPython Notebook, the Collections module, mapping and filtering, lamba functions, advanced sorting, writing object-oriented code, testing and debugging, NumPy, pandas,matplotlib, regular expressions, Unicode, text encoding and working with databases, CSV files, JSON
and XML. This advanced Python course is taught using Python 3, however, differences between Python 2 and Python 3 are noted.
Why Attend this Course?
This course contains numerous hands on exercises to build your Advanced skillset.
What Makes this Course Stand Apart?
New content developed for 2017 delivery.
What you will Learn?
Students wanting to further their knowledge of Python Programming.
Basic Python programming experience. In particular, you should be very comfortable
with: working with strings; working with lists, tuples and dictionaries; loops and conditionals; and writing your own functions. Experience in the following areas would be beneficial: some exposure to HTML, XML, JSON, and SQL.
Getting Started with IPython Notebook
Creating Your First IPython Notebook
IPython Notebook Modes
Useful Shortcut Keys
Advanced List Comprehensions
Mapping and Filtering
Unpacking Sequences in Function Calls
Modules and Packages
Getting Data from the Web
Classes and Objects
Attributes, Methods and Properties
Static, Class, Abstract Methods
Testing and Debugging
Testing for Performance
The unittest Module
Getting Basic Information about an Array
NumPy Arrays Compared to Python Lists
Modifying Parts of an Array
Adding a Row Vector to All Rows
Series and DataFrames
Accessing Elements from a Series
Comparing One Series with Another
Creating a DataFrame from NumPy Array
Creating a DataFrame from Series
Creating a DataFrame from a CSVl
Getting Columns and Rows
Combining Row and Column Selection
Scalar Data: at and iat
Plotting with matplotlib
Regular Expression Syntax
Python’s Handling of Regular Expressions
Encoding and Decoding Files in Python
Converting a File from cp1252 to UTF-8