Python 3: Tools, Modules and JSON

Python 3: Tools, Modules and JSON, available at $54.99, has an average rating of 4.75, with 47 lectures, 3 quizzes, based on 39 reviews, and has 338 subscribers.

You will learn about 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 This course is ideal for individuals who are Advanced level programmers or System administrators who want to use Python to support their server installations or Website administrators who want to use Python to support their web-servers or IT professionals who want to automate or simplify common tasks with the use of Python scripts It is particularly useful for Advanced level programmers or System administrators who want to use Python to support their server installations or Website administrators who want to use Python to support their web-servers or IT professionals who want to automate or simplify common tasks with the use of Python scripts.

Enroll now: Python 3: Tools, Modules and JSON

Summary

Title: Python 3: Tools, Modules and JSON

Price: $54.99

Average Rating: 4.75

Number of Lectures: 47

Number of Quizzes: 3

Number of Published Lectures: 47

Number of Published Quizzes: 3

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 50

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Chapter 01 – Programming Tools

Lecture 1: Topic A: Iterators and Generators – Part 1

Lecture 2: Iterators and Generators – Part 2

Lecture 3: Iterators and Generators – Part 3

Lecture 4: Topic B: Regular Expressions – Part 1

Lecture 5: Regular Expressions – Part 2

Lecture 6: Regular Expressions – Part 3

Lecture 7: Topic C: Introspection and Lambda Functions – Part 1

Lecture 8: Introspection and Lambda Functions – Part 2A

Lecture 9: Introspection and Lambda Functions – Part 2B

Lecture 10: Introspection and Lambda Functions – Part 2C

Lecture 11: Introspection and Lambda Functions – Part 2D

Lecture 12: Introspection and Lambda Functions – Part 3

Lecture 13: Topic D: Metaclasses and Decorators – Part 1

Lecture 14: Metaclasses and Decorators – Part 2A

Lecture 15: Metaclasses and Decorators – Part 2B

Lecture 16: Metaclasses and Decorators – Part 2C

Lecture 17: Metaclasses and Decorators – Part 2D

Lecture 18: Metaclasses and Decorators – Part 3

Chapter 2: Chapter 02 – Modules and Packages

Lecture 1: Topic A: Modules and Packages – Part 1

Lecture 2: Modules and Packages – Part 2A

Lecture 3: Modules and Packages – Part 2B

Lecture 4: Modules and Packages – Part 2C

Lecture 5: Modules and Packages – Part 3

Lecture 6: Topic B: Working with APIs – Part 1

Lecture 7: Working with APIs – Part 2

Lecture 8: Working with APIs – Part 3

Chapter 3: Chapter 03 – Metaprogramming and JSON

Lecture 1: Topic A: Metaprogramming Primer – Part 1

Lecture 2: Metaprogramming Primer – Part 2

Lecture 3: Metaprogramming Primer – Part 3

Lecture 4: Topic B: Decorators and Monkey Patching – Part 1

Lecture 5: Decorators and Monkey Patching – Part 2A

Lecture 6: Decorators and Monkey Patching – Part 2B

Lecture 7: Decorators and Monkey Patching – Part 2C

Lecture 8: Decorators and Monkey Patching – Part 2D

Lecture 9: Decorators and Monkey Patching – Part 3

Lecture 10: Topic C: XML and JSON Structure – Part 1

Lecture 11: XML and JSON Structure – Part 2

Lecture 12: XML and JSON Structure – Part 3

Lecture 13: Topic: Generating XML and JSON – Part 1

Lecture 14: Generating XML and JSON – Part 2

Lecture 15: Generating XML and JSON – Part 3

Lecture 16: Topic E: Parsing XML and JSON – Part 1

Lecture 17: Parsing XML and JSON – Part 2

Lecture 18: Parsing XML and JSON – Part 3

Lecture 19: Topic F: Implementing Algorithms – Part 1

Lecture 20: Implementing Algorithms – Part 2

Lecture 21: Implementing Algorithms – Part 3

Instructors

Stone River eLearning
Over 1,000,000 Happy Students

Rating Distribution

1 stars: 2 votes
2 stars: 0 votes
3 stars: 3 votes
4 stars: 14 votes
5 stars: 20 votes

Frequently Asked Questions

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