HARTMANN software group

Introduction to Python 3.x Training

We offer private customized training for groups of 3 or more attendees.
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Course Description

  
This four day course leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This is a hands-on programming class. All concepts are reinforced by informal practice during the lecture followed by graduated lab exercises. Python Programming is a practical introduction to a working programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world.
Course Length: 4 Days
Course Tuition: $1290 (US)

Prerequisites

Course Outline

  
About this Course
Welcome
Classroom etiquette
Course outline
Student files
Extracting the student files
Examples
Lab exercises
Appendices
 
An Overview of Python
What is Python?
The Birth of Python
Python Timeline
About Interpreted Languages
Advantages of Python
Disadvantages of Python
How to Get Python
How to Get Python?
The end of 2.x
Getting Help
Pydoc
Using Pydoc
 
The Python Environment
Starting Python
If the Interpreter is Not in Your PATHs
Using the Interpreter
Trying Out a Few Commands
The help() Command
Running a Python Script
Python Scripts on Unix
Python Scripts on Windows
Python Editors and IDEs
 
Getting Started
Using Variables
Keywords
Built-in Functions
Variable Typing
Strings
Single-delimited String Literals
Triple-delimited String Literals
Raw String Literals
Unicode Characters
String Operators and Methods
Numeric Literals
Math Operators and Expressions
Converting Among Types
Writing to the Screen
String Formatting
Command Line Parameters
Reading From the Keyboard
 
Flow Control
About Flow Control
What's with the White Space
If and Elif
Conditional Expressions
Relational Operators
Boolean Operators
While Loops
Alternate Ways to Exit a Loop
 
Sequences
About Sequences
Lists
Tuples
Indexing and Slicing
Iterating Through a Sequence
Using Enumerate()
Functions for All Sequences
Keywords and Operators for All Sequences
The Range() Function
Nested Sequences
List Comprehensions
Generator Expressions
 
Working with files
Text File I/O
Opening a Text File
The With Block
Reading a Text File
Writing to a Text File
Non-Delimited (Raw) Data
 
Dictionaries and Sets
About Dictionaries
When to Use Dictionaries
Creating Dictionaries
Getting Dictionary Values
Iterating Through a Dictionary
Reading File Data into a Dictionary
Counting with a Dictionary
About Sets
Creating Sets
Working with Sets
 
Functions
Defning a Function
Function Parameters
Returning Values
Variable Scope
 
Sorting
Sorting
The Sorted() Function
Alternate Keys
Lambda Functions
Sorting Nested Data
\Sorting Dictionaries
Sorting in Reverse
Sorting Lists in Place
 
Using Modules
Regular Expressions
RE Syntax Overview
RE Objects
Searching for Patterns
Matching Without Re Objects
Compilation Fags
Grouping
Special Groups
Replacing Text
Splitting a String
 
Using the Standard Library
The Sys Module
Interpreter Information
STDIO
Launching External Programs
Paths, Directories, and Filenames
Walking Directory Trees
Grabbing Web Pages
Sending E-Mail
Math Functions
Random Values
Dates And Times
Zipped Archives
 
An Introduction to Python Classes
About O-O Programming
Defining Classes
Initializers
Instance Methods
Properties
Class Methods and Data
Static Methods
Private Methods
Inheritance
Untangling the Nomenclature
 
Bonus Exercises
Appendix A: Bibliography
Appendix B: Python Gotchas
Appendix C: String Formatting

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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.