Next-Level Python Programming (With Advanced Python Topics) Training

Builtin data types

Lists and tuples

Dictionaries and sets

Program structure

Files and console I/O

If statement

for and while loops

The os and os.path modules

Environment variables

Launching external commands with subprocess

Walking directory trees

Paths, directories, and filenames

Working with file systems

Basic date and time classes

Different time formats

Converting between formats

Formatting dates and times

Parsing date/time information

What is Binary Data

Binary vs text

Using the Struct module

The Zen of Python

Tuples

Advanced unpacking

Sorting

Lambda functions

List comprehensions

Generator expressions

String formatting

Four types of function parameters

Four levels of name scoping

Single/multi dispatch

Relative imports

Using __init__ effectively

Documentation best practices

Class/static data and methods

Inheritance (or composition)

Abstract base classes

Implementing protocols (context, iterator, etc.) with special methods

Implicit properties

globals() and locals()

Working with object attributes

The inspect module

Callable classes

Decorators

Monkey patching

Analyzing programs with pylint

Using the debugger

Profiling code

Testing speed with benchmarking

What is a unit test

Writing tests

Working with fixtures

Test runners

Mocking resources

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

Overview

Qt Architecture

Using designer

Standard widgets

Event handling

Extras

Built-in classes

Using requests

Grabbing web pages

Sending email

Working with binary data

Consuming RESTful services

Remote access (SSH)

The threading module

Sharing variables

The queue module

The multiprocessing module

Creating pools

About async programming

Running external programs

Parsing arguments

Creating filters to read text files

Logging

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

Time Permitting Sessions

Discover the collections module

Use defaultdict, Counter, and namedtuple

Create dataclasses

Store data offline with pickle

Annotate variables

Learn what type hinting does NOT do

Use the typing module for detailed type hints

Understand union and optional types

Write stub interfaces