Unlock blazing-fast Python applications in our expert-led training program focused on performance optimization, profiling, and scalable code architecture.

Performance Driven Python:
Basic Training

Unlock blazing-fast Python applications in our expert-led training program focused on performance optimization, profiling, and scalable code architecture.

Performance Driven Python:
Basic Training

At a glance

3 days

Individually schedulable

Completely
remote

Theory &
Practice

English

Learn to write high-performance Python code by mastering profiling, memory management, and concurrency. Optimize applications for speed, scale, and reliability.

Our trusted partners

Agenda (example)

We are happy to create a customized agenda with you so that Python will be a breeze in the future.

Day 1

Profiling & Understanding Python Performance

  1. Key performance considerations in Python development
  2. Weighing development speed vs. runtime efficiency
  3. Real-world success stories of optimized Python apps
  1. Introduction to Python profiling tools and techniques
  2. Hands-on walkthrough: profiling a real Python script
  3. Analyzing results to identify CPU and memory bottlenecks
  1. Typical performance pitfalls in Python code
  2. Efficient use of algorithms and data structures
  3. Case studies: refactoring slow code for better performance
  1. The GIL explained: limitations of multi-threading
  2. Achieving parallelism with multiprocessing
  3. When and how to use asyncio for asynchronous execution

Day 2

Advanced Optimization Techniques & Low-Level Speedups

  1. Concepts of horizontal scaling: when and why
  2. Task distribution with Celery and RabbitMQ
  3. Deploying a basic scalable service in Python
  1. JIT Compilation with Numba
    • What is JIT and how Numba accelerates Python code
    • Practical speedups for numerical computations
  2. Optimizing with Cython
    • Introduction to Cython and compiling Python to C
    • Case study: incrementally speeding up real-world code
  3. Integrating Rust in Python
    • Why extend Python with Rust?
    • Basics of Rust + Python FFI and creating Python extensions
  1. Line-by-line profiling with line_profiler
  2. Memory profiling using memory_profiler and PySpy
  3. Visual tools for interpreting performance data intuitively

Day 3:

Scaling for Data & Performance in Production

  1. Using pandas and NumPy efficiently
  2. Techniques for processing large datasets (beyond memory limits)
  3. Distributed data pipelines with Dask
  4. Event-driven architectures for scalable data systems
  1. Fundamentals: when and why to cache
  2. Caching with built-in tools and services like Memcache
  3. Cache invalidation strategies and common patterns
  1. Overview of performance monitoring tools and APMs
  2. Setting up continuous performance tests and benchmarks
  3. Real-world strategies for tuning and responding to runtime behavior

Experience a balanced mix of theory, live demonstrations and practical exercises.

Learn to profile Python applications, identify performance bottlenecks, and address them effectively.

Understand how to leverage concurrency and asynchronous programming in Python for increased efficiency.

Develop scalable systems with horizontal scaling and optimized data processing techniques.

In this Performance Driven Python Training, you will learn …

… how to write Python code that runs faster, scales better, and uses resources more efficiently. You’ll explore profiling tools, optimization strategies, memory management, and concurrency using async, multiprocessing, and threading. Learn how to identify bottlenecks and refactor code for top performance in production.
This course is ideal for experienced Python developers, backend engineers, and anyone who needs to push Python to its performance limits.

Practical Applications That We Will Cover in the Training:

  • 1
    Hands-on experience with profiling tools and advanced performance optimization techniques.
  • 2
    Understanding of how to design high-performance applications that meet the demands of large-scale, data-intensive environments.
  • 3
    Knowledge of real-world strategies for monitoring and tuning performance in production environments.

After The Course, You Will Be Able To:

  • 1
    Profile and analyze Python applications to identify and resolve bottlenecks.
  • 2
    Implement advanced performance optimization techniques in real-world projects.
  • 3
    Leverage modern multi-core processors to optimize Python for high efficiency and scalability.
  • 4
    Design scalable systems using Python with asynchronous programming and horizontal scaling.
  • 5
    Seamlessly integrate powerful tools like Numba, Cython, and Rust into Python projects.

The Performance Driven Python training is perfect for you if…

  • You want to gain knowledge of techniques for concurrency, parallelism, horizontal scaling, JIT compilation, Cython, Rust, caching, data-intensive optimization with tools like pandas, NumPy, and Dask, and continuous monitoring and tuning

  • You have a basic Phython knowledge

  • You are interested in learning how to integrate Python with databases and web services

The Performance Driven Python training is not suitable for you if…

  • You are not a Python developer or do not have experience with Python programming
  • You are not interested in learning advanced performance optimization techniques
  • You prefer a beginner-level introduction to Python instead of an advanced optimization course.

Hear from our satisfied training attendees

A1 Telekom Austria AG

„UTA coached my team along the development process of the migration plan of our on-premises data lake to the public cloud.

The outstanding level of expertise, both on a technical and organizational level, ensured a well-structured and realistic migration plan including timeline, milestones, and efforts.

The enablement of my team was at the center of a very smooth collaboration. Through UTA, we achieved our goal faster and reduced risks of the migration project significantly.

I highly recommend UTA’s services!“

Reinhard Burgmann
Head of Data Ecosystem

Vattenfall

„I recently attended Vattenfall IT’s online Kafka training day hosted by Ultra Tendency, and it was an enriching experience.

The trainer, Ahmed, did a fantastic job explaining the theory behind Kafka, and the emphasis on practical application was great. The hands-on programming exercises were particularly helpful, and I’ve never experienced training with so many interactive examples!

Overall, I highly recommend this training to anyone who wants to improve their Kafka knowledge interactively and gain valuable skills.”

Bernard Benning
BA Heat

VP Bank

„The MLOps training exceeded our expectations!

It offered a perfect blend of an overview, hands-on coding examples, and real-world use cases. The trainer answered all questions competently and adapted the content to fit our company’s infrastructure.

This training not only provided us with knowledge but also practical skills that we can apply immediately.“

Eisele Peer
Lead Architect & Head of IT Integration & Development

Hutchison Drei Austria GmbH

„The training Introduction to the Cloud with AWS and Azure impressed us! We particularly appreciated the excellent overview of the topics, the hands-on exercises, and the extensive practical activities that made the learned concepts directly applicable.

The content was well-structured, and the combination of theory and practical applications was ideal for our needs. The opportunity to clarify specific questions in the Q&A sessions was also extremely valuable. Overall, the training deepened our understanding of cloud computing and provided us with insights into the differences and strengths of AWS and Azure.

We now feel better prepared to make strategic decisions for our cloud strategy. Thank you for this excellent training!“

Eisele Peer
Lead Architect & Head of IT Integration & Development

Get to know your Training professionals

Marvin Taschenberger

Professional Software Architect, Ultra Tendency

Hudhaifa Ahmed

Senior Lead Big Data Developer & Berlin Territory Manager, Ultra Tendency

Matthias Baumann

Chief Technology Officer & Principal Big Data Solutions Architect Lead, Ultra Tendency

Required hardware & infrastructure for your Performance Driven Python Training

  • You will need a PC or Mac with a web browser and MS Teams.
  • During the training, we will provide you with a virtual machine with the required local dependencies, services and root access.
  • You can access the machine via a browser or SSH if you wish and the network restrictions allow it.