Python Programming On-Demand: Level 1-Introduction for Programmers Course Outline
***Note: This is an On-Demand, (self-study) course, 180-day, 24-7 access via the internet
(Applicable State and Local taxes may be added for On-Demand purchases, depending on your location.)
You may take this course at any time, there are no set dates. This On-Demand (self-study) training course includes expert lectures, demonstrations and exercises that cover the same content that is included in our instructor-led (ILT) class. Note: The 180-day course access period begins at time of purchase.
Overview
In this Python training course, students who already have a programming background will learn to program in Python. Students will learn: how Python works and its place in the world of programming languages; to work with and manipulate strings; to perform math operations; to work with Python sequences; to collect user input and output results; flow control processing; to write to, and read from, files; to write functions; to handle exception; and work with dates and times. This Python course is taught using Python 3. Differences between Python 2 and Python 3 are noted.
Audience Profile
Students new to the language who have experience with other programming languages.
Prerequisites
This course is specially designed for individuals with prior programming background. Also it assumes a working knowledge of Object Oriented Programming concepts. If you have no prior programming experience or are not familiar with Object Oriented Programming, you should consider our ILT "Python Programming - Basics for Non-Programmers" course. For details on this alternative slower paced course for non-programmers, visit:
Python Programming - Basics for Non-Programmers
What You Need to Take this Training
You will be able to access the course provided you have stable internet access. We highly recommend the use of two screens so you can view the instructor's presentation on a screen that's separate and alongside the screen you will be using to complete the labs.
Prefer a Live, Instructor-led Class?
Already know On-Demand, Self-Study training is not right for you? We also offer this same course content in a live, instructor-led format. For more details, click on the link below:
Learn Python with Programming
Duration
You have 24/7 access for 180-days to this digital course that includes 6h 44m of video presentation. As a traditional course it would be a 3-day class.
Course Outline
Vital Python – Math, Strings, Conditionals, and Loops
Vital Python
Numbers: Operations, Types, and Variables
To Open a Jupyter Notebook
Python as a Calculator
Standard Math Operations
Basic Math Operations
Order of Operations
Spacing in Python
Number Types: Integers and Floats
Complex Number Types
Errors in Python
Variables
Variable Assignment
Changing Types
Reassigning Variables in Terms of Themselves
Variable Names
Multiple Variables
Comments
Docstrings
Theorem in Python
Strings: Concatenation, Methods, and input()
String Syntax
Escape Sequences with Quotes
Multi-Line Strings
The print() Function
String Operations and Concatenation
String Interpolation
Comma Separators
Format
The len() Function
String Methods
Casting
The input() Function
String Indexing and Slicing
Indexing
Slicing
Strings and Their Methods
Booleans and Conditionals
Booleans
Logical Operators
Comparison Operators
Comparing Strings
Conditionals
The if Syntax
Indentation
if else
The elif Statement
Loops
The while Loops
An Infinite Loop
break
Programs
The for Loop
The continue Keyword
Python Structures
The Power of Lists
List Methods
Accessing an Item from a List
Adding an Item to a List
Dictionary Keys and Values
a List and a Dictionary
Zipping and Unzipping Dictionaries Using zip()
Dictionary Methods
Tuples
A Survey of Sets
Set Operations
Choosing Types
Executing Python – Programs
Algorithms, and Functions
Introduction
Python Scripts and Modules
Shebangs in Ubuntu
Docstrings
Imports
The if __name__ == "__main__" Statement
Basic Functions
Positional Arguments
Keyword Arguments
Iterative Functions
Exiting Early
Activity 10: The Fibonacci Function with an Iteration
Helper Functions
Don't Repeat Yourself
Variable Scope
Variables
Defining inside versus outside a Function
The Global Keyword
The Nonlocal Keyword
Lambda Functions
Mapping with Lambda Functions
Filtering with Lambda Functions
Sorting with Lambda Functions
Extending Python, Files, Errors, and Graphs
Reading Files
Writing Files
the Date and Time in a Text File
View outline in Word
GPYI30
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