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Technologies / Programming

Optimizing Pandas Workflows with Modin

This training focuses on increasing data processing performance in Python environments through use of the Modin library as an extension for Pandas. The program covers both theoretical foundations of parallel processing and practical aspects of optimizing existing code. Participants learn techniques for efficient large dataset processing, learning to identify and eliminate performance bottlenecks. Classes are conducted in workshop format, where theory is immediately verified on real datasets.

Required Participant Preparation

  • Practical Python and Pandas knowledge

  • Experience in data analysis

  • Basic knowledge of parallel processing

  • Familiarity with application performance issues

Benefits

  • After completing the training, participants will be able to effectively use the Modin library to optimize data processing in Python
  • They will gain the ability to identify and eliminate bottlenecks in code using Pandas
  • They will learn to design efficient solutions for large dataset processing
  • They will be able to migrate existing Pandas code to solutions using Modin
  • They will master debugging and performance profiling techniques in data processing contexts
  • Memory management in analytical applications
  • They will learn to optimize DataFrame operations in distributed environments

Who is this training for?

Data analysts working with large datasets
Data Scientists using Pandas
Python programmers optimizing code
ML engineers working on data processing
Big Data specialists
Analytical application developers
Scientists engaged in data analysis
Data science solution architects

Training program

01

Architecture and operating principles

  • Integration with Pandas
  • Differences and similarities
  • Environment preparation
  • Operation Optimization
  • Parallel processing
  • DataFrame operations
  • Aggregations and grouping
02

Memory management

  • Data stream processing
03

Query optimization

  • Performance profiling
04

Debugging problems

  • Deployment and Integration
  • Existing code migration
  • Ecosystem integration
  • Performance monitoring

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

Who is the Optimizing Pandas Workflows with Modin training for?

This training is designed for professionals looking to develop skills in optimizing pandas workflows with modin. Required level: intermediate.

How long is the Optimizing Pandas Workflows with Modin training?

The training lasts 2. Available in online or on-site format.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.

Kamil Gabryszewski
Kamil Gabryszewski Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

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2500+ trainings available
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