
Introduction to Python 3 Training
Course Length: 4 days
Delivery Methods:
Multiple delivery options
Course Overview
In this Python training course, students learn to program in Python. The course is aimed at students new to the language who may or may not have experience with other programming languages. The course was written using Python 3.8, but is relevant for all students using Python 3.
Course Benefits
- How Python works.
- Python's place in the world of programming languages.
- Python literals.
- Python comments.
- Variables and Python data types.
- Simple modules.
- Outputting data with
print()
. - Collecting user input.
- Defining and calling functions.
- Parameters and arguments.
- Variable scope.
- Creating and importing modules.
- Math in Python.
- The
math
andrandom
modules. - String basics.
- Special characters.
- Multi-line strings.
- Indexing and slicing strings.
- Common string operators and methods.
- Formatting strings.
- Built-in string functions.
- Lists, tuples, ranges, dictionaries, and sets.
- The
*args
and**kwargs
parameters. - Virtual environments.
- Installing packages with
pip
. - Conditions and loops.
- Generator functions.
- List comprehensions.
- Exception handling.
- The time and datetime modules.
- Working with files and directories.
- Working with the
os
andos.path
modules. - PEP8 and Pylint.
Available Delivery Methods
Private Class
Private classes are delivered for groups at your offices or a location of your choice.
Private classes are delivered for groups at your offices or a location of your choice.
Self-Paced
Learn at your own pace with 24/7 access to an On-Demand course.
Learn at your own pace with 24/7 access to an On-Demand course.
Course Outline
- Python Basics
- Getting Familiar with the Terminal
- Running Python
- Running a Python File
- Exercise: Hello, world!
- Literals
- Exercise: Exploring Types
- Variables
- Exercise: A Simple Python Script
- Constants and Deleting Variables
- Writing a Python Module
- print() Function
- Collecting User Input
- Exercise: Hello, You!
- Reading from and Writing to Files
- Exercise: Working with Files
- Functions and Modules
- Defining Functions
- Variable Scope
- Global Variables
- Function Parameters
- Exercise: A Function with Parameters
- Returning Values
- Exercise: Parameters with Default Values
- Importing Modules
- Methods vs. Functions
- Math
- Arithmetic Operators
- Exercise: Floor and Modulus
- Assignment Operators
- Precedence of Operations
- Built-in Math Functions
- The math Module
- The random Module
- Exercise: How Many Pizzas Do We Need?
- Exercise: Dice Rolling
- Python Strings
- Quotation Marks and Special Characters
- String Indexing
- Exercise: Indexing Strings
- Slicing Strings
- Exercise: Slicing Strings
- Concatenation and Repetition
- Exercise: Repetition
- Combining Concatenation and Repetition
- Python Strings are Immutable
- Common String Methods
- String Formatting
- Exercise: Playing with Formatting
- Formatted String Literals (f-strings) (introduced in Python 3.6)
- Built-in String Functions
- Exercise: Outputting Tab-delimited Text
- Iterables: Sequences, Dictionaries, and Sets
- Definitions
- Sequences
- Lists
- Sequences and Random
- Exercise: Remove and Return Random Element
- Tuples
- Ranges
- Converting Sequences to Lists
- Indexing
- Exercise: Simple Rock, Paper, Scissors Game
- Slicing
- Exercise: Slicing Sequences
- min(), max(), and sum()
- Converting between Sequences and Strings
- Unpacking Sequences
- Dictionaries
- The len() Function
- Exercise: Creating a Dictionary from User Input
- Sets
- *args and **kwargs
- Virtual Environments, Packages, and pip
- Exercise: Creating, Activating, Deactivating, and Deleting a Virtual Environment
- Packages with pip
- Exercise: Working with a Virtual Environment
- Flow Control
- Conditional Statements
- Compound Conditions
- The is and is not Operators
- all() and any() and the Ternary Operator
- In Between
- Loops in Python
- Exercise: All True and Any True
- break and continue
- Looping through Lines in a File
- Exercise: Word Guessing Game
- The else Clause in Loops
- Exercise: for...else
- The enumerate() Function
- Generators
- List Comprehensions
- Exception Handling
- Exception Basics
- Generic Exceptions
- Exercise: Raising Exceptions
- The else and finally Clauses
- Using Exceptions for Flow Control
- Exercise: Running Sum
- Raising Your Own Exceptions
- Python Dates and Times
- Understanding Time
- The time Module
- Time Structures
- Times as Strings
- Time and Formatted Strings
- Pausing Execution with time.sleep()
- The datetime Module
- datetime.datetime Objects
- Exercise: What Color Pants Should I Wear?
- datetime.timedelta Objects
- Exercise: Report on Departure Times
- File Processing
- Opening Files
- Exercise: Finding Text in a File
- Writing to Files
- Exercise: Writing to Files
- Exercise: List Creator
- The os Module
- os.walk()
- The os.path Module
- A Better Way to Open Files
- Exercise: Comparing Lists
- PEP8 and Pylint
- PEP8
- Pylint
Class Materials
Each student will receive a comprehensive set of materials, including course notes and all the class examples.
Class Prerequisites
Experience in the following would be useful for this Python class:
- Some programming experience.
Follow-on Courses
Request a Private Class
- Private Class for your Team
- Online or On-location
- Customizable
- Expert Instructors
Self-Paced Course
$199.80
or 4 coupons
- On Demand 24/7
- Readings
- Presentations
- Exercises
- Quizzes
- Full Year of Access
- Learn more