Instructor-led training

Advanced Python 3 (3 Day Course) Training in Frankfurt, Germany

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What you'll learn

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; working with regular expressions; working with databases, CSV files, JSON and XML; writing object-oriented code; testing and debugging; and learning about Unicode and text encoding. This advanced Python course is taught using Python 3, however, differences between Python 2 and Python 3 are noted.

Prerequisites

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. Exposure to HTML, XML, JSON, and SQL would be useful.

Course Outline

IPython Notebook

Getting Started with IPython Notebook

Exercise 1: Creating Your First IPython notebook

Exercise 2: More Experimenting with IPython Notebook

Getting the Class Files

Markdown

Magic Commands

Automagic

Autosave

Directory Commands

Bookmarking

Command History

Last Three Inputs and Outputs

Environment Variables

Loading and Running Code from Files

Shell Execution

More Magic Commands

Getting Help

Advanced Python Concepts.....

Advanced List Comprehensions

Quick Review of Basic List Comprehensions

Multiple for Loops

Exercise 3: Rolling Five Dice

Collections Module

Named Tuples

Default Dictionaries (defaultdict)

Exercise 4: Creating a defaultdict

Counters

Exercise 5: Creating a Counter

Mapping and Filtering

Map (function, iterable)

Filter (function, iterable)

Lambda Functions

Using Lambda Functions with map() and filter()

Mutable and Immutable Built-in Objects

Strings are Immutable

Lists are Mutable

Sorting

Sorting Lists in Place

The sorted() Function

Exercise 6: Converting list.sort() to sorted(iterable)

Sorting Sequences of Sequences

Sorting Sequences of Dictionaries

Unpacking Sequences in Function Calls

Exercise 7: Converting a String to a datetime.date Object

Modules and Packages

Modules

Packages

Search Path for Modules and Packages

Regular Expressions

Regular Expression Syntax

Try it

Backreferences

Python's Handling of Regular Expressions

Working with Data

Relational Databases

PEP 0249 -- Python Database API Specification v2.0

PyMySQL

Returning Dictionaries instead of Tuples

sqlite3

Exercise 8: Querying a SQLite Database

Passing Parameters

SQLite Database in Memory

Executing Multiple Queries at Once

Exercise 9: Inserting File Data into a Database

CSV

Reading from a CSV File

Finding Data in a CSV File

Exercise 10: Comparing Data in a CSV File

Creating a New CSV File

CSV Dialects

Getting Data from the Web

The Requests Package

Beautiful Soup

XML

Exercise 11: Requests and Beautiful Soup

JSON

Classes and Objects

Attributes

Behaviors

Classes vs. Objects

Everything Is an Object

Creating Custom Classes

Attributes and Methods

Exercise 12: Adding a roll() Method to Die

Private Attributes

Properties

Exercise 13: Properties

Objects that Track their Own History

Documenting Classes

Using docstrings

Exercise 14: Documenting the Die Class

Inheritance

Overriding a Class Method

Extending a Class

Exercise 15: Extending the Die Class

Extending a Class Method

Exercise 16: Extending the roll() Method

Static Methods

Class Attributes and Methods

Class Attributes

Class Methods

You Must Consider Subclasses

Abstract Classes and Methods

Understanding Decorators

Testing and Debugging

Testing for Performance

time.perf_counter

The timeit Module

The unittest Module

Unittest Test Files

Exercise 17: Fixing Functions

Special unittest.TestCase Methods

Assert Methods

Unicode and Encoding

Bits and Bytes

Hexadecimal Numbers

Exercise 18: Converting Numbers between Number Systems

hex(), bin(), ord(), chr(), and int()

Encoding

Encoding Text

Encoding and Decoding Files in Python

Converting a File from cp1252 to UTF-8

Exercise 19: Finding Confusables

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