Knowledge Transfer Microsoft Certified Training Partner CTEC
Knowledge Transfer is a Microsoft Certified Gold Partner
Microsoft Certified Gold Training Partner
Search for a Course Topic:
Public Courses
Corporate Services & Training
 

 

 



 Course Search
Keyword
Course #
State

 Training Delivery
 
Training Delivery
Custom Curriculum
Course List
 
 Main Menu
 
Home
View Courses
Site Index
 
 


Python for Scientists Overview



  • 1. The Python Environment

    • Starting Python

    • If the interpreter is not in your PATHs

    • Using the interpreter

    • Trying a few commands

    • The help() function

    • Running a Python script

    • Python scripts on UNIX

    • Python editors and IDEs



  • 2. Getting Started

    • Using variables

    • Keywors

    • Built-in functions

    • Strings

    • Single-quoted string literals

    • Triple-quoted string literals

    • Raw string literals

    • Unicode literals

    • String operators and expressions

    • Converting among types

    • Writing to the screen

    • String formatting

    • Legacy string formatting

    • Command line parameters

    • Reading from the keyboard



  • 3. Flow Control About flow control

    • What’s with the white space?

    • if and elif

    • Conditional expressions

    • Relational and Boolean operators

    • while loops

    • Alternate ways to exit as loop



  • 4. Lists and Tuples

    • About Sequences

    • Lists

    • Tuples

    • Indexing and slicing

    • Iterating through a sequence

    • Functions for all sequences

    • Using enumerate()

    • Operators and keywords for sequences

    • The xrange() function

    • Nested sequences

    • List comprehensions

    • Generator expressions



  • 5. Working with Files

    • Text file I/O

    • Opening a text file

    • The with block

    • Reading a text file

    • Writing a text file  

    • “Binary” (raw, or non-delimited) data



  • 6. Dictionaries and Sets

    • About dictionaries

    • When to use dictionaries

    • Creating dictionaries

    • Getting dictionary values

    • Iterating through a dictionary

    • Reading file data into a dictionary

    • Counting with dictionaries

    • About sets

    • Creating sets

    • Working with sets



  • 7. Functions

    • Defining a function

    • Function parameters

    • Global variables

    • Variable scope

    • Returning values



  • 8. Exception Handling

    • Syntax errors

    • Exceptions

    • Handling exceptions with try

    • Handling multiple exceptions

    • Handling generic exceptions

    • Ignoring exceptions

    • Using else

    • Cleaning up with finally

    • Re-raising exceptions Raising a new exception

    • The standard exception hierarchy



  • 9. OS Services

    • The os module

    • Environment variables

    • Launching external processes

    • Paths, directories, and filenames

    • Walking directory trees

    • Dates and times

    • Sending email



  • 10. Pythonic Idioms

    • The Zen of Python

    • Common Python idioms

    • Packing and unpacking

    • Lambda functions

    • List comprehensions

    • Generators vs. iterators

    • Generator expressions

    • String tricks



  • 11. Modules and Packages

    • What is a module?

    • The import statement

    • Where did the .pyc file come from?

    • Module search path

    • Zipped libraries

    • Creating Modules

    • Packages

    • Module aliases

    • When the batteries aren’t included



  • 12. Classes

    • Defining classes

    • Instance objects

    • Instance attributes

    • Methods

    • __init__

    • Properties Class data

    • Inheritance

    • Multiple Inheritance

    • Base classes

    • Special methods

    • Pseudo-private variables

    • Static methods



  • 13. Developer Tools

    • Program development

    • Comments

    • pylint

    • Customizing pylint

    • Unit testing

    • The unittest module

    • Creating a test class

    • Establishing success or failure

    • Startup and Cleanup

    • Running the tests

    • The Python debugger

    • Starting debug mode

    • Stepping through a program

    • Setting breakpoints

    • Debugging command reference

    • Benchmarking



  • 14. XML and JSON

    • About XML

    • Normal approaches to XML

    • Which module to use?

    • Getting started with ElementTree

    • How ElementTree works

    • Creating a new XML Document

    • Parsing an XML Document

    • Navigating the XML Document

    • Using XPath

    • Advanced XPath



  • 15. iPython

    • About iPython

    • Features of iPython

    • Starting iPython

    • Tab completion

    • Magic commands

    • Benchmarking

    • External commands

    • Enhanced help

    • Notebooks



  • 16. numpy

    • Python’s scientific stack

    • numpy overview

    • Creating arrays

    • Creating ranges

    • Working with arrays

    • Shapes

    • Slicing and indexing

    • Indexing with Booleans

    • Stacking

    • Iterating

    • Tricks with arrays

    • Matrices

    • Data types

    • numpy functions



  • 17. scipy

    • About scipy

    • Polynomials

    • Vectorizing functions

    • Subpackages

    • Getting help

    • Weave



  • 18. A Tour of scipy subpackages

    • cluster

    • constants

    • fftpack

    • integrate

    • interpolate

    • io

    • linalg

    • ndimage

    • odr

    • optimize

    • signal

    • sparse

    • spatial

    • special

    • stats



  • 19. pandas

    • About pandas

    • Pandas architecture

    • Series

    • DataFrames

    • Data Alignment

    • Index Objects

    • Basic Indexing

    • Broadcasting

    • Removing entries

    • Time series

    • Reading Data



  • 20. matplotlib

    • About matplotlib

    • matplotlib architecture

    • matplotlib Terminology

    • matplotlib keeps state

    • What else can you do?



  • 21. Python Imaging Library

    • The PIL

    • Supported image file types

    • The Image class

    • Reading and writing

    • Creating thumbnails

    • Coordinate system

    • Cropping and pasting

    • Rotating, resizing, and flipping Enhancing




 

View Printer Friendly Page


To Inquire About Future Classes

Request a class date

if one is not scheduled.



Comments on the Course

Dates available upon request