I achieved peak performance in python, here's how ...

Dishant Sethi (~dishant24)




In the ever-evolving landscape of software development, crafting code that not only functions flawlessly but also operates at peak performance is a skill that sets exceptional developers apart. This talk delves into the art of optimising Python code, exploring techniques and strategies to fine-tune your programs for maximum speed and minimal resource consumption, with a particular focus on memory efficiency.

In this session, we will embark on a journey and refine the phases of development in python.

  1. Functional Execution
  2. Rigorous Testing and Accuracy
  3. Performance Optimization

We will discuss common bottlenecks in unoptimized code

  1. inefficient Coding Practices can negatively impact performance
  2. Memory Leaks
  3. Suboptimal Data Structures and Algorithms
  4. Lack of Vectorization
  5. Overlooked Parallelization

We'll further look into the benefits of profiling the code

  1. Profiling the code with cProfile/sentry
  2. Profiling the Code with timeit
  3. Memory Profiler

Finally, for data driven application, we'll look into strategies to achieve peak performance

  1. Efficient DataFrame Storage with Parquet Files
  2. Handling Categorical Data Type
  3. Looping Techniques and How to Choose Between Different Looping Techniques?
  4. String concatenation (joins and cleanup)

[Attendees takeaway] Whether you're a seasoned developer looking to enhance your optimization skills or a newcomer eager to understand the principles behind efficient Python code, this talk offers valuable insights and practical takeaways.

[Note] This talk is accepted at PyconDE & Pydata Berlin 2024 and will be delivered on 24th of April 2024 at the conference,


Basics of Python

Speaker Info:


  1. Name: Dishant Sethi
  2. Email: dishantsethi14@gmail.com
  3. Phone no: +919582565371
  4. Designation: Software Consultant

[Previous Talks]

  1. PyconDE and Pydata Berlin 2023: https://youtu.be/osGGX3tcwkc
  2. Gophercon India 2023: https://youtu.be/zuzTN3ibrCM?si=GEo31lE_Q8h4hzTR
  3. PyDelhi: https://youtu.be/6h9I3iyqyu4

Section: Core Python
Type: Talk
Target Audience: Intermediate
Last Updated: