Introduction to Python

Course Summary

The Introduction to Python training course is designed to demonstrate the Python programming language.

The course begins by examining why to adopt Python, where Python excels, and how it compares to other programming languages. Next, it transitions into a nuts-and-bolts examination of key language features, concepts, and functionalities. The course concludes by analyzing how to apply OO programming concepts with Python, work with exceptions, and create modularity in your applications.

Prerequisite: Prior programming experience is required

THIS IS NOT A LEARN-TO-CODE CLASS. If you would like to learn how to program, consider Learning to Program with Python

Purpose	Learn how to develop programs using Python
Audience	Programmers interested in learning Python
Role	Software Developer \| Web Developer
Skill Level	Introduction
Style	Lecture \| Hands-on Activities \| Labs
Duration	3 Days
Related Technologies	Python

Learning Objectives

Install and configure a development environment to support Python
Create a basic Python application
Work with collections in Python
Work with files in Python
Add error handling to Python applications
Use regular expressions to validate data
Use common Python modules
Discuss how Python supports object-oriented programming

What You'll Learn:

In the Introduction to Python course, you'll learn:

What is Python?

Why use Python?
Compare Python to other programming languages

Python Development

Download and install Python and Jupyter
Introduction to Jupyter Notebooks
Getting Started with Python-The Basics
- Variables/Typing
- Basic types: int, float, string
- Built-in Python functions
- Python arithmetic
- Code Blocks/Colons
- Control structures
  - if/elif/else
  - Loops - for, while, range operator, the in operator
- Programming Pythonically

Iterables/Sequences

What are iterables and sequences?
Slicing operator
String functions (methods)
join() / split()
sort() vs. sorted()
Lists
- list methods
- Finding common elements
- Finding duplicates
- enumerate()
- zip()
List comprehensions
Tuples
Dictionaries
- dict methods
Dictionary comprehensions
Sets
- set methods
- Finding common elements
- Removing duplicates
File I/O
- Files are iterables
- The with statement
- Working with files

Functions

Positional arguments
Default arguments
Keyword arguments
*arg / **kwargs

Exception Handling with Python

What is an exception?
Error types: index, name, type, syntax, value, etc
LBYL vs. EAFP
try/except, else, finally

Modules

import vs. from ... import...
Module Syntax
Packages and modules
Build a module
Package a module for reuse
Developer modules
- Command line parsing: argparse
- System management: os, sys, subprocess
- File I/O and file management: shutil, tempfile, glob

Regular Expressions

Regular expression syntax and Module (re)
Search and replace
Compiling regular expression patterns
Regular expressions and input file parsing

Overview of object-oriented programming with Python

OO concepts supported by Python
Creating classes
Using objects

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.

Expert Practitioners

Industry experts that bring their battle scars into the classroom.

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.

Tailored Outlines

One-size-fits-all doesn't apply to training teams. That's where we come in!

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Introduction to Python

Course Summary

Purpose

Audience

Role

Skill Level

Style

Duration

Related Technologies