Scientific Python for Experienced Developers

4.6 out of 5 (15 reviews)  

PYTH-122 (3 Days)
Request Pricing for Scientific Python for Experienced Developers

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

Accelebrate courses are taught as private, customized training for groups of 3 or more at your site. In addition, we offer live, private online training for teams who may be in multiple locations or wish to save on travel costs. To receive a customized proposal and price quote for private on-site or online training, 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

Expand All | Collapse All | Printer-Friendly

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
Request Pricing for Scientific Python for Experienced Developers

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

Have you read our Google reviews?

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

Fax: +1 404 420 2491

925B Peachtree Street, NE
PMB 378
Atlanta, GA 30309-3918
USA

Subscribe to our Newsletter:

Never miss the latest news and information from Accelebrate:

Microsoft Gold Partner

Please see our complete list of
Microsoft Official Courses

Recent Training Locations

Alabama

Birmingham

Huntsville

Montgomery

Alaska

Anchorage

Arizona

Phoenix

Tucson

Arkansas

Fayetteville

Little Rock

California

Los Angeles

Oakland

Orange County

Sacramento

San Diego

San Francisco

San Jose

Colorado

Boulder

Colorado Springs

Denver

Connecticut

Hartford

DC

Washington

Florida

Fort Lauderdale

Jacksonville

Miami

Orlando

Tampa

Georgia

Atlanta

Augusta

Savannah

Hawaii

Honolulu

Idaho

Boise

Illinois

Chicago

Indiana

Indianapolis

Iowa

Ceder Rapids

Des Moines

Kansas

Wichita

Kentucky

Lexington

Louisville

Louisiana

New Orleans

Maine

Portland

Maryland

Annapolis

Baltimore

Frederick

Hagerstown

Massachusetts

Boston

Cambridge

Springfield

Michigan

Ann Arbor

Detroit

Grand Rapids

Minnesota

Minneapolis

Saint Paul

Mississippi

Jackson

Missouri

Kansas City

St. Louis

Nebraska

Lincoln

Omaha

Nevada

Las Vegas

Reno

New Jersey

Princeton

New Mexico

Albuquerque

New York

Albany

Buffalo

New York City

White Plains

North Carolina

Charlotte

Durham

Raleigh

Ohio

Akron

Canton

Cincinnati

Cleveland

Columbus

Dayton

Oklahoma

Oklahoma City

Tulsa

Oregon

Portland

Pennsylvania

Philadelphia

Pittsburgh

Rhode Island

Providence

South Carolina

Charleston

Columbia

Greenville

Tennessee

Knoxville

Memphis

Nashville

Texas

Austin

Dallas

El Paso

Houston

San Antonio

Utah

Salt Lake City

Virginia

Alexandria

Arlington

Norfolk

Richmond

Washington

Seattle

Tacoma

West Virginia

Charleston

Wisconsin

Madison

Milwaukee

Alberta

Calgary

Edmonton

British Columbia

Vancouver

Manitoba

Winnipeg

Nova Scotia

Halifax

Ontario

Ottawa

Toronto

Quebec

Montreal

Puerto Rico

San Juan

© 2013-2020 Accelebrate, Inc. All Rights Reserved. All trademarks are owned by their respective owners.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.