Advanced Programming Techniques with Python

Price
Net €
VAT €

Price
Price on Request

Duration
3 days

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
Online Live

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Scalable systems are created through clean code and well-thought-out concepts. Python offers versatile tools for powerful applications in digital ecosystems.

Key topics

Advanced object models
Functional programming patterns
Concurrency and parallelization
API integration and microservices
Unit and integration testing
Code optimization for performance

Prerequisites
Experience with Python syntax, modules, and basic software principles.

Target audience
Developers, IT architects, and professionals in the fields of web, AI, and data analysis.

In-depth programming techniques form the basis for robust, high-performance applications and sustainable software solutions in dynamic fields of technology.

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Course content

Object-oriented programming

Implementing OOP design
Applying OOP advantages

Applying OOP in Python

Create class
Use methods
Implement factory patterns

Create desktop app

Designing GUIs
Build interactive apps

Create data-driven apps

Connecting to data
Save, update, and delete data in the database

Secure web service application

Select network protocol
Create RESTful web service
Build web service client
Develop secure network apps

Python in data analysis

Cleaning data with Python
Visualizing data
Applying linear regression

Unit tests and error handling

Handling exceptions
Write unit tests
Execute test

Application for publication

Create and install package
Generate distribution files

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What are advanced programming techniques in Python?

Advanced techniques include object-oriented programming, design patterns, data structures, algorithms, decorators, generators, and asynchronous programming.

Who is Advanced Python Training suitable for?

Ideal for anyone with a solid foundation in Python who wants to develop applications more efficiently, deepen their existing skills, and program more professionally.

What topics are covered in an advanced Python course?

Topics covered include complex data types, regular expressions, error handling, unit testing, multithreading, performance optimization, and modular programming.

What are the advantages of advanced Python training?

Extended expertise facilitates the development of stable, secure, and maintainable applications—especially in professional environments or complex projects.

What requirements should you meet?

You should have a solid understanding of Python basics, experience with functions, loops, conditions, modules, and basic knowledge of software development.

What are the benefits of an advanced Python course in everyday working life?

Increases efficiency in everyday coding, promotes a structured approach to large projects, and improves collaboration in agile development teams.

Is there a certification after the training?

Yes, upon completion of the training, a recognized certificate of participation will be issued. This certifies the knowledge acquired and can be used professionally.

Do you have any further questions? Please contact us.

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0800 258 258 055

website@newhorizons.de

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