HARTMANN software group

Python II: Advanced Python 3 Training in Nurnberg, Germany

Enroll in or hire us to teach our Python II: Advanced Python 3 class in Nurnberg, Germany by calling us @303.377.6176. Like all HSG classes, Python II: Advanced Python 3 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, Python II: Advanced Python 3 may be taught at one of our local training facilities.
We offer private customized training for groups of 3 or more attendees.
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Course Description

  
This two day course covers a handful of various Python advanced topics including high level data structures, network programming, writing GUI's in Python, and CGI programming. This course is particularly well suited for programmers who are building application frameworks, integrating Python with other software, or using Python for distributed computing.
Course Length: 2 Days
Course Tuition: $790 (US)

Prerequisites
Students should have taken an introductory Python course or have six months of Python programming experience.

Course Outline

  

1. What you should already know about Python
Introduction
Language Evolution
Python Reserved Words and Other Rules
Documentation
The string Class
Variables
DataTypes
Boolean and Numeric Types
Strings
Lists
Sets
Sequences
Looping Through Sequences
Dictionaries
Bit Manipulation
Functions
Modules
Standard Input and Output
File Input and Output
Some File Tests

2. Data Structures
range
List Comprehensions
Nested List Comprehensions
Dictionary Comprehensions
Dictionaries with Compound Values
Processing Lists in Parallel
Specialized Sorts
Time Functionality
Generators

3. Writing GUIs in Python
Introduction
Components and Events
The tk Widget
Button Widgets
Entry Widgets
Text Widgets
Checkbutton Widgets
Radiobutton Widgets
Listbox Widgets
Frame Widgets
Menu Widgets
Toplevel Widgets
Dialogs

4. Python and CGI Scripts
What is CGI
HTML
HTML Forms
A Guestbook Application
What Can Go Wrong!
HTML Tables
The CGI Script
Rendering of the Script

5. The os Module
The Environment
Creating a Process
Listing Files
Other Process Methods
File Information (Metadata)
Working with Directories

6. Network Programming
Networking Fundamentals
The Client/Server Module
The socket Module
The Client Program
The Server Program
An Evaluation Client and Server
A Threaded Server

Appendix A: What You Might Not Already Know
What is an Iterable?
Creating Your Own Iterators
Generators
The Functions any and all
Thread Fundamentals
Synchronization
Signals
The Python Debugger
The with Statement
Data Compression
Appendix B: Python and Databases
Introduction
DBM Operations
Pickling
Pickling with Complex Objects
Shelves
Using sqlite3
Executing Queries
Table Descriptions
Writing Database Scripts

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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.