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Overview
Learn to program in python and handle classes, libraries, decorators and multithreading. This course will take you through the concepts of advanced python. Master the best practices, libraries and techniques of Python programming.
Objectives
At the end of Advanced Python training course, participants will be able to
Prerequisites
All participants should be able to write simple Python scripts using basic data types, program structures, and the standard Python library.
Course Outline
Python Refresheredforce2021-06-24T16:48:15+05:30
- Built-in data types
- Lists and tuples
- Dictionaries and sets
- Program structure
- Files and console I/O
- If statement
- for
- Built-in functions
- User-defined functions
- Modules and packages
- Basic OOP
OS Servicesedforce2021-06-24T16:48:19+05:30
- The os and os.path modules
- Environment variables
- Launching external commands with subprocess
- Walking directory trees
- Paths, directories, and filenames
- Working with file systems
Dates & Timesedforce2021-06-24T16:47:24+05:30
- Basic date and time classes
- Different time formats
- Converting between formats
- Formatting dates and times
- Parsing date/time information
Binary Dataedforce2021-06-24T16:48:39+05:30
- What is Binary Data?
- Binary vs text
- Using the Struct module
Pythonic Programmingedforce2021-06-24T16:49:10+05:30
- The Zen of Python
- Tuples
- Advanced unpacking
- Sorting
- Lambda functions
- List comprehensions
- Generator expressions
- String formatting
Functions, Modules, and Packagesedforce2021-06-24T16:49:42+05:30
- Four types of function parameters
- Four levels of name scoping
- Single/multi-dispatch
- Relative imports
- Using __init__ effectively
- Documentation best practices
Enhancing Classesedforce2021-06-24T16:50:16+05:30
- Class/static data and methods
- Inheritance (or composition)
- Abstract base classes
- Creating attributes with attr
- Implementing protocols (context, iterator, etc.)
Metaprogrammingedforce2021-06-24T16:50:46+05:30
- Implicit properties
- globals() and locals()
- Working with object attributes
- The inspect module
- Callable classes
- Decorators
- Monkey patching
Developer Toolsedforce2021-06-24T16:51:15+05:30
- Analyzing programs with pylint
- Using the debugger
- Profiling code
- Testing speed with benchmarking
Unit Testing with PyTestedforce2021-06-24T16:51:43+05:30
- What is a unit test
- Creating test cases
- Writing and running tests
- Test harnesses
- Working with fixtures
Database Accessedforce2021-06-24T16:52:11+05:30
- The DB API
- Available Interfaces
- Connecting to a server
- Creating and executing a cursor
- Fetching data
- Parameterized statements
- Using Metadata
- Transaction control
- ORMs and NoSQL overview
PyQtedforce2021-06-24T16:52:44+05:30
- Overview
- Qt Architecture
- Using designer
- Standard widgets
- Event handling
- Extras
Network Programmingedforce2021-06-24T16:53:24+05:30
- Built-in classes
- Using requests
- Grabbing web pages
- Sending email
- Working with binary data
- Consuming RESTful services
- Remote access (SSH)
Multiprogrammingedforce2021-06-24T16:53:52+05:30
- The threading module
- Sharing variables
- The queue module
- The multiprocessing module
- Creating pools
- About async programming
Scripting for System Administrationedforce2021-06-24T16:54:29+05:30
- Running external programs
- Parsing arguments
- Creating filters to read text files
- Logging
Serializing Dataedforce2021-06-24T16:55:58+05:30
- Working with XML
- XML modules in Python
- Getting started with ElementTree
- Parsing XML
- Updating an XML tree
- Creating a new document
- About JSON
- Reading JSON
- Writing JSON
- Reading/writing CSV files
- YAML, other formats as time permits
Advanced Data Handlingedforce2021-06-24T16:56:32+05:30
- Discover the collections module
- Use defaultdict, Counter, and namedtuple
- Create dataclasses
- Store data offline with pickle
Type Hintingedforce2021-06-24T16:57:17+05:30
- Annotate variables
- Learn what type hinting does NOT do
- Use the typing module for detailed type hints
- Understand
- Write stub interfaces
