Python Intermediate Training

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Python Intermediate

• Python Refresher
  • Objectives
  • Variables
  • Basic Python Data Types
  • Sequence Types
  • Mapping Types
  • Program Structure
  • Files and Console I/O
  • Conditionals
  • Loops
  • Built-ins
  • Functions
  • Modules
  • Packages
• OS Services
  • Objectives
  • The OS Module
  • Paths, Directories, and File Names
  • Walking Directory Trees
  • Environment Variables
  • Launching External Programs
• Dates and Times
  • Objectives
  • Python Modules for Dates and Times
  • Ways to Store Dates and Times
  • Basic Dates and Times
  • Formatting Dates and Times
  • Parsing Date/Time Strings
  • Parsing Dates the Easier Way
  • Converting Dates and Times
  • Time Zones
  • Generating Calendars
• Binary Data
  • Objectives
  • "Binary" (raw, or non-delimited) Data
  • Binary vs. Text Data
  • Using Struct
  • Bitwise Operators
• Pythonic Programming
  • The Zen of Python
  • Tuples
  • Iterable Unpacking
  • Unpacking Functions Arguments
  • The sorted() Function
  • Custom Sort Keys
  • Lambda Functions
  • List Comprehensions
  • Dictionary Comprehensions
  • Set Comprehensions
  • Iterables
  • Generator Expressions
  • Generator Functions
  • String Formatting
  • f-strings
• Functions, Modules, and Packages
  • Functions
  • Function Parameters
  • Default Parameters
  • Python Function Parameter Behavior (from PEP 3102)
  • Name Resolution (AKA Scope)
  • The Global Statement
  • Modules
  • Using Import
  • How Import * Can Be Dangerous
  • Module Search Path
  • Executing Modules as Scripts
  • Namespaces
  • Packages
  • Configuring import with __init__.py
  • Documenting Modules and Packages
  • Python Style
• Intermediate Classes
  • What is a Class?
  • Defining Classes
  • Object Instances
  • Instance Attributes
  • Instance Methods
  • Constructors
  • Getters and Setters
  • Properties
  • Class Data
  • Class Methods
  • Inheritance
  • Using super()
  • Multiple Inheritance
  • Abstract Base Classes
  • Special Methods
  • Static Methods
• Metaprogramming
  • Objectives
  • Metaprogramming
  • globals() and locals()
  • The Inspect Module
  • Working with Attributes
  • Adding Instance Methods
  • Decorators
  • Applying Decorators
  • Trivial Decorator
  • Decorator Functions
  • Decorator Classes
  • Decorator Parameters
  • Creating Classes at Runtime
  • Monkey Patching
  • Callable Classes
  • Do you Need a Metaclass?
  • About MetaClasses
  • Mechanics of a Metaclass
  • Singleton with a Metaclass
• Developer Tools
  • Objectives
  • Program Development
  • Comments
  • pylint
  • Customizing pylint
  • Using pyreverse
  • The Python Debugger
  • Starting Debug Mode
  • Stepping through a Program
  • Setting Breakpoints
  • Profiling
  • Benchmarking
• Unit Tests with pytest
  • What is a Unit Test?
  • The pytest Module
  • Creating Tests
  • Running Tests (Basics)
  • Special Assertions
  • Fixtures
  • User-Defined Fixtures
  • Builtin Fixtures
  • Configuring Fixtures
  • Parameterizing Tests
  • Marking Tests
  • Running Tests (Advanced)
  • Skipping and Failing
  • Mocking Data
  • pymock Objects
  • Pytest and Unittest
• Database Access
  • The DB API
  • Connecting to a Server
  • Creating a Cursor
  • Executing a Statement
  • Fetching Data
  • SQL Injection
  • Parameterized Statements
  • Dictionary Cursors
  • Metadata
  • Transactions
  • Object-relational mappers
  • NoSQL
• PyQt
  • What is PyQt?
  • Event-Driven Applications
  • External Anatomy of a PyQt Application
  • Internal Anatomy of a PyQt Application
  • Using Designer
  • Designer-based Application Workflow
  • Naming Conventions
  • Common Widgets
  • Layouts
  • Selectable Buttons
  • Actions and Events
  • Signal/Slot Editor
  • Editing Modes
  • Menu Bar
  • Status Bar
  • Forms and Validation
  • Using Predefined Dialogs
  • Tabs
  • Niceties
  • Working with Images
  • Complete Example
• Network Programming
  • Grabbing a Web Page
  • Consuming Web Services
  • HTTP the Easy Way
  • Sending Email
  • Email Attachments
  • Remote Access
  • Copying Files with Paramiko
• Multiprogramming
  • Multiprogramming
  • What are Threads?
  • The Python Thread Manager
  • The Threading Module
  • Threads for the Impatient
  • Creating a Thread Class
  • Variables Sharing
  • Using Queues
  • Debugging Threaded Programs
  • The Multiprocessing Module
  • Using Pools
  • Alternatives to Multiprogrammiong
• Effective Scripts
  • Using glob
  • Using shlex.split()
  • The Subprocess Module
  • Subprocess Convenience Functions
  • Capturing Stdout and Stderr
  • Permissions
  • Using shutil
  • Creating a Useful Command Line Script
  • Creating Filters
  • Parsing the Command Line
  • Simple Logging
  • Formatting Log Entries
  • Logging Exception Information
  • Logging to Other Destinations
• Serializing Data
  • About XML
  • Normal Approaches to XML
  • Which Module to Use?
  • Getting Started with ElementTree
  • How ElementTree Works
  • Elements
  • Creating a New XML Document
  • Parsing an XML Document
  • Navigating the XML Document
  • Using XPath
  • About JSON
  • Reading JSON
  • Writing JSON
  • Customizing JSON
  • Reading and Writing YAML
  • Reading CSV Data
  • Nonstandard CSV
  • Using csv.DictReader
  • Writing CSV Data
  • Pickle
• Advanced Data Handling
  • Deep vs. Shallow Copying
  • Default Dictionary Values
  • Counting with Counter
  • Named Tuples
  • Printing Data Structures
  • Zipped Archives
  • Tar Archives
  • Serializing Data
• Type Hinting
  • Type Hinting
  • Static Analysis Tools
  • Runtime Analysis Tools
  • typing Module
  • Input Types
  • Variance
  • Union and Optional
  • multimethod and functools.singledispatch
  • Stub Type Hinting

Before Taking this Class

Software/Setup For this Class

Python 3 or higher.