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Course Skill Level:


Course Duration:

3 day/s

  • Course Delivery Format:

    Live, instructor-led.

  • Course Category:

    Big Data & Data Science

  • Course Code:


Who should attend & recommended skills:

Beginning to intermediate Python 3 developers with basic Python scripts writing experience

Who should attend & recommended skills

  • Beginning or intermediate Python 3 developers
  • Python 3: Basic to Intermediate (1-5 years’ experience)
  • Python 3 (or Python 2) scripts writing: Basic (1-2 years’ experience) including file I/O, basic data structures, and creating classes

About this course

This course takes beginning or intermediate Python 3 developers into the world of Python 3 for scientific and mathematical computing. It presents the most important Python 3 modules for working with data, from arrays, to statistics, to plotting results. The material is geared towards scientists and engineers.
This is a hands-on programming class. All concepts are reinforced by informal practice during the lecture followed by lab exercises. Many labs build on earlier labs, which helps students retain the earlier material.
As this is an advanced course, students may suggest additional topics to be covered at the discretion of the instructor.

Skills acquired & topics covered

  • Use benchmarks and profiling to speed up programs
  • Process XML and JSON
  • Manipulate arrays with numpy
  • Grasp the diversity of subpackages that make up SciPy
  • Use iPython notebooks for ad hoc calculations, plots, and what-if?
  • Import and analyze data with pandas
  • Create a wide variety of data plots with matplotlab
  • Manipulate images with PIL

Course breakdown / modules

  • Working with Excel
  • Using openpyxl
  • Reading an existing spreadsheet
  • Creating a new spreadsheet
  • Updating a spreadsheet
  • Working with styles and formatting