Scientific Python for Experienced Developers

PYTH-122 (3 Days)
4.6 out of 5 (15 reviews)  

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Scientific Python Training Overview

Accelebrate’s Scientific Python for Experienced Developers course teaches Python programmers how to use Python for data manipulation, statistics, graphing, and other operations.

Location and Pricing

Most Accelebrate courses are delivered as private, customized, on-site training at our clients' locations worldwide for groups of 3 or more attendees and are custom tailored to their specific needs. Please visit our client list to see organizations for whom we have delivered private in-house training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor's or students' travel expenses. To receive a customized proposal and price quote for private training at your site or online, please contact us.

In addition, some courses are available as live, online classes for individuals. See a schedule of online courses.

Scientific Python Training Objectives

All attendees will:

  • Use benchmarks and profiling to speed up programs
  • Process XML and JSON
  • Manipulate arrays with NumPy
  • Discover the diversity of SciPy subpackages and how to use them in your applications
  • Use Jupyter notebooks for ad hoc calculations, plots, and what-if scenarios
  • Import and analyze data with pandas
  • Create a wide variety of data plots with matplotlab
  • Manipulate images with PIL
  • Solve equations with SymPy

Scientific Python Training Outline

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Introduction
Python Refresher
  • Data types
  • Sequences
  • Mapping types
  • Program structure
  • Files and console I/O
  • Conditionals
  • Loops
  • Builtins
  • Classes
Pythonic Idioms
  • Small Pythonisms
  • Lambda functions
  • Sorting
  • Packing and unpacking sequences
  • List Comprehensions
  • Generator expressions
XML and JSON
  • Using ElementTree
  • Creating a new XML document
  • Parsing XML
  • Finding by tags and XPath
  • Parsing JSON into Python
  • Parsing Python into JSON
Jupyter
  • Jupyter basics
  • Terminal and GUI shells
  • Creating and using notebooks
  • Saving and loading notebooks
  • Ad hoc data visualization
Developer Tools
  • Debugging applications
  • Benchmarking code
  • Profiling applications
NumPy
  • NumPy basics
  • Creating arrays
  • Indexing and slicing
  • Large number sets
  • Transforming data
  • Advanced tricks
SciPy
  • The Python scientific stack
  • What can SciPy do?
  • Getting help
  • Where to find things
  • What is available?
A Tour of SciPy Subpackages
  • Clustering
  • Physical and mathematical constants
  • FFTs
  • Integral and differential solvers
  • Interpolation and smoothing
  • Input and output
  • Linear algebra
  • Image processing
  • Distance regression
  • Root-finding
  • Signal Processing
  • Sparse matrices
  • Spatial data and algorithms
  • Statistical distributions and functions
  • C/C++ Integration
Pandas
  • Pandas overview
  • Dataframes
  • Reading and writing data
  • Data alignment and reshaping
  • Fancy indexing and slicing
  • Merging and joining data sets
Matplotlib
  • Creating a basic plot
  • Commonly used plots
  • Ad hoc data visualization
  • Advanced usage
  • Exporting images
The Python Imaging Library (PIL)
  • PIL overview
  • Core image library
  • Image processing
  • Displaying images
SymPy
  • What is SymPy?
  • What can it do for you?
  • Creating variables
  • Defining equations
  • Solving equations
Conclusion
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Lecture percentage

50%

Lecture/Demo

Lab percentage

50%

Lab

Course Number:

PYTH-122

Duration:

3 Days

Prerequisites:

Students should be comfortable writing basic Python tasks and programming concepts, including file input/output and creating classes. 

Training Materials:

All attendees receive comprehensive courseware covering all topics in the course.

Software Requirements:

  • Any Windows, Linux, or Mac OS X operating system
  • Python language
  • Python libraries: NumPy, SciPy, matplotlib, PIL, Jupyter, SymPy (we recommend Anaconda, a cross-platform Python bundle that already includes the necessary modules)
  • An IDE with Python support (PyCharm Community Edition is an excellent free option, but there are several other good ones)

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

Contact Us Train For Us

Toll-free in US/Canada:
877 849 1850
International:
+1 678 648 3113

Toll-free in US/Canada:
866 566 1228
International:
+1 404 420 2491

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