HARTMANN software group

Beginning Python Training in Lakewood

Enroll in or hire us to teach our Beginning Python class in Lakewood, Washington by calling us @303.377.6176. Like all HSG classes, Beginning Python may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it is scheduled: Public Training Classes
Provided there are enough attendees, Beginning Python may be taught at one of our local training facilities.
We offer private customized training for groups of 3 or more attendees.
get pricing information

Course Description

  
This three-day course provides the student with the knowledge to create and run Python scripts that include Python-specific data structures, function, modules, and classes.
Course Length: 3 Days
Course Tuition: $1190 (US)

Prerequisites
Basic computer knowledge and keyboarding skills

Course Outline

  

Meet Python
Origin of Python
Where to Get Python
Invoking Python
Other Python Implementation
Python Resources

Handling Numbers and Strings
Numeric Data
Using Numbers
String Data
Using Strings

Variables and Data Structures
Variables
Numeric and String Variables
Lists
Tuples
Sets
Dictionaries
Additional Resources

Flow Control
Controlling the Flow
The (if) Statement
The (while) Statement
The (for) Statement
The range() Function and Loops
Other Statements with Loops

Conditional Expressions
Conditions and Conditional Expressions
Numeric Comparisons and Conditions
Comparing Strings
Complex Conditions

Basic Input and Output
Reading Input
Simple Output
Formatted Output

Function
Creating Functions
Invoking Functions
Returning Values from Functions
Passing Parameters
More About Function Arguments
Scope of Variables
Lambda Functions

 
Using Modules
What are Modules?
Creating Modules
Using Modules
More About Modules
Compiled Modules
Standard Modules

An Introduction to Classes
Namespaces
What is a Class?
Defining a Class
Defining Class and Instance Attributes
Defining Methods
Instantiating a Class
Inheritance
Resources

Regular Expressions
Pattern Matching vs. Wildcards
Compiling Regular Expressions
Matching vs. Searching
Substitution
Regular Expressions: Metacharacters
The Problem with \
Special Backslash Sequences
Using MatchObject
Additional Regular Expression Operation
Additional Resources

Files
File Handles and File-like Objects
Opening and Closing Files
Reading from Files
Writing to Files
Moving Around in Files
The pickle Module
Resources

Errors and Exceptions
Errors, Exceptions, and Warnings
Raising an Exception
User Defined Exceptions
Catching and Handling Exceptions
 

Course Directory [training on all levels]

Technical Training Courses
Software engineer/architect, System Admin ... Welcome!
Business Training Courses
Project Managers, Business Analysts, Paralegals ... Welcome!
Upcoming Classes
Gain insight and ideas from students with different perspectives and experiences.

Python Programming Uses & Stats

Python Programming is Used For:
Web Development Video Games Desktop GUI's Software Development
Difficulty
Popularity
Year Created
1991
Pros
Easy to Learn:
The learning curve is very mild and the language is versatile and fast to develop.
 
Massive Libraries:
You can find a library for basically anything: from web development, through game development, to machine learning.
 
Do More with Less Code:
You can build prototypes and test out  ideas much quicker in Python than in other language
Cons

Speed Limitations:

It is an interpretive language and therefore much slower than compiled languages.

Problems with Threading:

Multi-threaded CPU-bound programs may be slower than single-threaded ones do to the Global Interpreter Lock (GIL) that allows only one thread to execute at a time.

Weak on Mobile:

Although, there are a number or libraries that provide a way to develop for both Android and iOS using Python currently Android and iOS don’t support Python as an official programming language.
Python Programming Job Market
Average Salary
$107,000
Job Count
26,856
Top Job Locations

New York City

Mountain View

San Francisco
Complimentary Skills to have along with Python Programming
The potential for career growth, whether you are new to the industry or plan to expand your current skills, depends upon your interests:
  - For knowledge in building in PC or windows, phone apps or you are looking your future in Microsoft learn C#
  - For android apps and also cross platform apps then learn Java
  - If you are an Apple-holic and want to build iOS and MAC apps and then choose Objective C or Swift
  - Interested in game development? C++
  - Data mining or statistics then go with R programming or MATLAB
  - Building an operating systems? C

Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.