Python for Scientists Training

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Python for Scientists

• The Python Environment
  • Starting Python
  • If the interpreter is not in your PATHs
  • Using the Interpreter
  • Trying out a Few Commands
  • The help() Command
  • Running a Python Script
  • Python Scripts on Unix
  • Python Scripts on Windows
  • Python Editors and IDEs
• Getting Started
  • Using Variables
  • Keywords
  • Built-in Functions
  • Variable Typing
  • Strings
  • Single-delimited String Literals
  • Triple-delimited String Literals
  • Raw String Literals
  • Unicode Characters
  • String Operators and Methods
  • Numeric Literals
  • Math Operators and Expressions
  • Converting Among Types
  • Writing to the Screen
  • String Formatting
  • Command Line Parameters
  • Reading from the Keyboard
• Flow Control
  • About Flow Control
  • What’s with the white space?
  • if and elif
  • Conditional Expressions
  • Relational Operators
  • Boolean Operators
  • while loops
  • Alternate ways to exit a loop
• Lists and Tuples
  • About Sequences
  • Lists
  • Tuples
  • Indexing and Slicing
  • Iterating Through a Sequence
  • Using enumerate()
  • Functions for all sequences
  • Keywords and Operators for all Sequences
  • The range() function
  • Nested Sequences
  • List Comprehensions
  • Generator Expressions
• Working with Files
  • Text file I/O
  • Opening a Text File
  • The with block
  • Reading a Text File
  • Writing to a Text File
  • Non-delimited (raw) data
• 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 a Dictionary
  • About Sets
  • Creating Sets
  • Working with Sets
• Functions
  • Defining a Function
  • Function Parameters
  • Returning Values
  • Variable Scope
• Errors and Exception Handling
  • Syntax Errors
  • Exceptions
  • Handling Exceptions with try
  • Handling Multiple Exceptions
  • Handling All Exceptions
  • Ignoring Exceptions
  • Using else
  • Cleaning up with finally
  • The Standard Exception Hierarchy
• Using the Standard Library
  • The sys Module
  • Interpreter Information
  • STDIO
  • Launching External Programs
  • Paths, Directories, and Filenames
  • Walking Directory Trees
  • Grabbing Web Pages
  • Sending e-mail
  • Math Functions
  • Random Values
  • Dates and Times
  • Zipped Archives
• Pythonic Programming
  • The Zen of Python
  • Common Python Idioms
  • Slicing and Dicing
  • Unpacking Function Arguments
  • Iterable Unpacking
  • Extended Iterable Unpacking
  • Lambda Functions
  • List Comprehensions
  • Iterables
  • Generator Expressions
  • Generator Functions
  • Dictionary Comprehensions
  • StringIO
  • Long Strings
  • String Formatting
• Modules and Packages
  • What is a Module?
  • The import Statement
  • Where did that .pye file come from?
  • Module Search Path
  • Creating Modules
  • Packages
  • Module Aliases
  • When the Batteries aren’t Included
• Classes
  • Defining Classes
  • Instance Objects
  • Instance Attributes
  • Instance Methods
  • __init__
  • Properties
  • Class Data
  • Class Methods
  • Inheritance
  • Multiple Inheritance
  • Using super()
  • Special Methods
  • Class-private Variables
  • Static Methods
• Developer Tools
  • Program Development
  • Comments
  • pylint
  • Customizing pylint
  • Using pyreverse
  • The unittest module
  • Fixtures
  • Skipping Tests
  • Making a Suite of Tests
  • Automated Test Discovery
  • The Python debugger
  • Starting Debug Mode
  • Stepping Through a Program
  • Setting Breakpoints
  • Profiling
  • Benchmarking
• Serializing Data
  • 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
  • About JSON
  • Reading JSON
  • Writing JSON
  • Reading CSV Data
  • Nonstandard CSV
  • Writing CSV Data
• Excel Spreadsheets
  • The openpyxl Module
  • Reading an Existing Spreadsheet
  • Working with Ranges
  • Worksheet Info
  • Modifying a Worksheet
  • Working with Formulae
  • Creating a New Spreadsheet
  • Setting Styles
• iPython and Jupyter
  • About iPython
  • Features of iPython
  • The Many Faces of iPython
  • Starting iPython
  • Getting Help
  • Tab Completion
  • Magic Commands
  • Benchmarking
  • External Commands
  • Enhanced Help
  • Jupyter Notebooks
  • Cells
  • Sharing Notebooks
• numpy
  • Python’s Scientific Stack
  • numpy Overview
  • Creating Arrays
  • Creating Ranges
  • Working with Arrays
  • Shapes
  • Slicing and Indexing
  • Indexing with Booleans
  • Stacking
  • Iterating
  • Array Creation Shortcuts
  • Matrices
  • Data Types
  • numpy Example List with Doc
• scipy
  • About scipy
  • Polynomials
  • Vectorizing Functions
  • Doing Real Work
  • SciPy subpackages
  • Getting Help
  • Python and C/C++
  • SciPy subpackages
• pandas
  • About pandas
  • Pandas Architecture
  • Series
  • DataFrames
  • Data Alignment
  • Index Objects
  • Basic Indexing
  • Broadcasting
  • Removing Entries
  • Time Series
  • Reading Data
• matplotlib
  • About matplotlib
  • matplotlib Architecture
  • matplotlib Terminology
  • matplotlib Keeps State
  • What else can you do?
• Pillow
  • Pillow
  • Supported Image File Types
  • The Image Class
  • Reading and Writing
  • Creating Thumbnails
  • Coordinate System
  • Cropping and Pasting
  • Rotating, Resizing, and Flipping
  • Enhancing

Before Taking this Class

Software/Setup For this Class

Python 3 or higher.