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

Name: Next-Level Python Programming (With Advanced Python Topics) Training
Brand: Microtek Learning
Price: $2395
Rating: 4.5 (1210 reviews)

Course Description

The Next-Level Python Programming course focuses on enterprise development and offers advanced Python topics and skills. In this course, professionals will learn how to create modules, run unit tests, leverage OS services, query databases, define classes, code graphical application interfaces, interact with network series, and process XML data. Acquiring the course will help professionals to develop an in-depth exploration of working with the programming language for enterprise development. By learning this course, professionals will use Python to complete advanced tasks in the real world. Further, this course will help professionals to grow in their careers as programming is more advanced.

Prerequisites for this training

Experience writing Python scripts
Working knowledge of Unix/Linux, Mac, or Windows

Recommended

Introduction to Python Programming
Mastering Python Programming

Who should attend this course?

This is an intermediate and beyond-level Python course geared for students experienced with Python who want to use Python in web development projects or automate or simplify common tasks with the use of Python scripts.

Schedules

Oops! For this course, there are currently no public schedules available. Clicking on "Notify Me" will allow you to express your interest.

For dates, times, and location customization of this course, get in touch with us.

You can also speak with a learning consultant by calling 800-961-0337.

What you will learn

Leveraging OS services
Enhancements to classes
Code graphical interfaces for applications
Advanced Python metaprogramming concepts
Easy-to-use and easy-to-maintain modules and packages
Implementing and run unit tests
Creating multithreaded and multi-process applications
Interacting with network services
Designing professional scripts
Querying databases
Processing XML, CSV, and JSON data

This course has a 50% hands-on labs to 50% lecture ratio with engaging instruction, demos, group discussions, labs, and project work.

Curriculum

Module 1: Python refresher

Builtin data types

Lists and tuples

Dictionaries and sets

Program structure

Files and console I/O

If statement

for and while loops

Module 2: OS Services

The os and os.path modules

Environment variables

Launching external commands with subprocess

Walking directory trees

Paths, directories, and filenames

Working with file systems

Module 3: Dates and Times

Basic date and time classes

Different time formats

Converting between formats

Formatting dates and times

Parsing date/time information

Module 4: Binary Data

What is Binary Data

Binary vs text

Using the Struct module

Module 5: Pythonic Programming

The Zen of Python

Tuples

Advanced unpacking

Sorting

Lambda functions

List comprehensions

Generator expressions

String formatting

Module 6: Functions, modules, and packages

Four types of function parameters

Four levels of name scoping

Single/multi dispatch

Relative imports

Using __init__ effectively

Documentation best practices

Module 7: Intermediate classes

Class/static data and methods

Inheritance (or composition)

Abstract base classes

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

Module 8: Metaprogramming

Implicit properties

globals() and locals()

Working with object attributes

The inspect module

Callable classes

Decorators

Monkey patching

Module 9: Developer Tools

Analyzing programs with pylint

Using the debugger

Profiling code

Testing speed with benchmarking

Module 10: Unit testing with PyTest

What is a unit test

Writing tests

Working with fixtures

Test runners

Mocking resources

Module 11: Database access

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

Module 12: PyQt

Overview

Qt Architecture

Using designer

Standard widgets

Event handling

Extras

Module 13: Network Programming

Built-in classes

Using requests

Grabbing web pages

Sending email

Working with binary data

Consuming RESTful services

Remote access (SSH)

Module 14: Multiprogramming

The threading module

Sharing variables

The queue module

The multiprocessing module

Creating pools

About async programming

Module 15: Scripting for System Administration

Running external programs

Parsing arguments

Creating filters to read text files

Logging

Module 16: Serializing data – XML and JSON

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

Module 17: Advanced data handling

Discover the collections module

Use defaultdict, Counter, and namedtuple

Create dataclasses

Store data offline with pickle

Module 18: Type hinting

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

With Microtek Learning, you’ll receive:

Certified Instructor-led training
Industry Best Trainers
Official Training Course Student Handbook
Pre and Post assessments/evaluations
Collaboration with classmates (not available for a self-paced course)
Real-world knowledge activities and scenarios
Exam scheduling support*
Learn and earn program*
Practice Tests
Knowledge acquisition and exam-oriented
Interactive online course.
Support from an approved expert
For Government and Private pricing*

* For more details call: +1-800-961-0337 or Email: info@microteklearning.com

Our Clients

For many years, Microtek Learning has been helping organizations, leaders, and professionals to reach their maximum performance by addressing the challenges they are facing.