Python 3: Tools, Modules and JSON

Name: Python 3: Tools, Modules and JSON
Rating: 4.4 (39 reviews)

Python 3 Part 2: Tools, Modules, and JSON

Created byStone River eLearning

Last updated 1/2019

English

What you'll learn

Create working Python scripts following best practices
Use python iterators and generators appropriately
Use regular expressions, lambda functions and decorators
Search and replace text with regular expressions
Work with modules and packages including APIs
Learn metaprogramming
Understand the structure of XML and JSON
Learn XML and JSON parsing

Course content

3 sections • 47 lectures • 3h 51m total length

Topic A: Iterators and Generators - Part 10:24
Iterators and Generators - Part 215:26
Iterators and Generators - Part 30:19
Explore the background of iterators and generators and see a practical demonstration on implementing them in Python 3, then preview how regular expressions are used in Python.
Topic B: Regular Expressions - Part 10:23
Regular Expressions - Part 217:48
Regular Expressions - Part 30:25
Topic C: Introspection and Lambda Functions - Part 10:24
Introspection and Lambda Functions - Part 2A4:05
Introspection and Lambda Functions - Part 2B11:14
Introspection and Lambda Functions - Part 2C5:27
Introspection and Lambda Functions - Part 2D6:00
Introspection and Lambda Functions - Part 30:19
Explore how introspection and lambda functions boost flexibility and knowledge of your own objects, and show how anonymous functions promote more elegant code structure in daily development.
Topic D: Metaclasses and Decorators - Part 10:19
Metaclasses and Decorators - Part 2A2:45
Metaclasses and Decorators - Part 2B10:51
Explore metaclasses and decorators in Python by comparing plain classes with dynamic attribute creation, using an attribute type metaclass to instantiate submarine and tank objects efficiently.
Metaclasses and Decorators - Part 2C2:49
Metaclasses and Decorators - Part 2D6:58
Explore how decorators in Python work by building a decorator class, wrapping functions to run code before and after calls. Learn practical examples showing dynamic function enhancement and runtime behavior.
Metaclasses and Decorators - Part 30:17
Review - Question

Topic A: Modules and Packages - Part 10:19
Modules and Packages - Part 2A10:21
Modules and Packages - Part 2B9:03
Compare alternative Python package installation methods for different versions and learn to use the Beautiful Soup package for HTML parsing and the requests package for HTTP requests.
Modules and Packages - Part 2C5:13
Modules and Packages - Part 30:14
Topic B: Working with APIs - Part 10:22
Working with APIs - Part 213:57
Learn to integrate third-party APIs with Python using RESTful interfaces, perform get, put, post, and delete requests, and build a Twilio-based app to send text messages.
Working with APIs - Part 30:15
Review - Question

Topic A: Metaprogramming Primer - Part 10:16
Explore metaprogramming fundamentals and its key attributes in Python 3, then see practical implementations for common attributes across Python code.
Metaprogramming Primer - Part 218:26
Master metaprogramming in Python by studying metaclasses, prepare and new, and how class creation is customized. Explore local and global scope to avoid namespace pollution in metaprogramming constructs.
Metaprogramming Primer - Part 30:16
Topic B: Decorators and Monkey Patching - Part 10:19
Decorators and Monkey Patching - Part 2A4:31
Decorators and Monkey Patching - Part 2B5:26
Decorators and Monkey Patching - Part 2C2:47
Decorators and Monkey Patching - Part 2D7:54
Learn to apply monkey patching using the types library to modify a class method at runtime, explore the more powerful patching technique, and discuss metaprogramming best practices and potential pitfalls.
Decorators and Monkey Patching - Part 30:15
Topic C: XML and JSON Structure - Part 10:17
XML and JSON Structure - Part 29:25
XML and JSON Structure - Part 30:12
Compare xml and json structures and explain how data is represented in each format, highlighting differences and practical implications for using them in Python.
Topic: Generating XML and JSON - Part 10:24
Generating XML and JSON - Part 216:41
Generating XML and JSON - Part 30:14
Topic E: Parsing XML and JSON - Part 10:22
Parsing XML and JSON - Part 218:24
Parsing XML and JSON - Part 30:15
Topic F: Implementing Algorithms - Part 10:29
Implementing Algorithms - Part 217:58
Implementing Algorithms - Part 30:24
Review - Question

Requirements

The Python Tools, Modules and JSON is part of the two-course series on Python.
The candidates wishing to register for this course are required to have completed the Python Fundamentals course.
In addition to this, a basic understanding of the Python language and standard library is also recommended.

Description

The Python Tools, Modules and JSON course will enable the students to learn the more advanced concepts of writing and running Python scripts. The course builds on the Python Fundamentals course and covers the more complex topics such as iterators and generators, regular expressions, introspection and lambda functions, metaclasses and decorators, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as metaprogramming and JSON. After completing this course, the students will immediately be able to use Python to complete tasks in the real world.

The Python Tools, Modules and JSON course will comprehensively cover the more advanced topics related to the Python programming language with primary focus on the several tools, modules and JSON. The course enables the students to code efficient scripts to solve the real-world problems using the advanced features of Python.

Who this course is for:

Advanced level programmers
System administrators who want to use Python to support their server installations
Website administrators who want to use Python to support their web-servers
IT professionals who want to automate or simplify common tasks with the use of Python scripts

Python 3: Tools, Modules and JSON

What you'll learn

Explore related topics

Course content

Chapter 01 - Programming Tools18 lectures • 1hr 26min

Chapter 02 - Modules and Packages8 lectures • 40min

Chapter 03 - Metaprogramming and JSON21 lectures • 1hr 45min

Requirements

Description

Who this course is for: