Pluralsight | Core Python – Learning Paths [FCO]

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Created by : Jason Olson, Austin Bingham, Robert Smallshire, 9 more..
Language : English
Released : 2021
Duration : 29h 52m
Course Source : https://www.pluralsight.com/paths/core-python

About

Python is an interpreted, high-level, general-purpose programming language that emphasizes code readability. It’s a dynamically typed and garbage-collected language that supports structured, object-oriented, and functional programming. It’s often described as a "batteries included" language due to its comprehensive standard library. In this path you will learn the basics of Python and more advanced topics such as object-oriented design and code organization.

Description

Python is an interpreted, high-level, general-purpose programming language that emphasizes code readability. It’s a dynamically typed and garbage-collected language that supports structured, object-oriented, and functional programming. It’s often described as a "batteries included" language due to its comprehensive standard library. In this path you will learn the basics of Python and more advanced topics such as object-oriented design and code organization.

Coureses In Path

01-Big Picture (Mar 2021)
02-Getting Started (Dec 2019)
03-Organizing Larger Programs (Mar 2019)
04-Functions and Functional Programming (Mar 2020)
05-Classes and Object-orientation (Jun 2020)
06-Implementing Iterators, Iterables and Collections (Jul 2020)
07-Robust Resource and Error Handling (Jun 2020)
08-Introspection (May 2020)
09-Numeric Types, Dates and Times (Mar 2020)
10-Advanced Flow Control (Jan 2021)
11-Core Python-Byte Oriented Programming (Mar 2021)
12-Custom Attributes and Descriptors (Aug 2021)
13-The Numeric Tower, Conversion and Operators (Jul 2020)
14-Hashing and More Collections (Aug 2020)
15-Advanced Generators and Coroutines (Feb 2020)
16-Unit Testing with Python (Jun 2019)
17-Managing Python Packages and Virtual Environments (Feb 2019)
18-Python Best Practices for Code Quality (May 2019)

6 Courses Skipped from this path!

Topics Covered:
• Python use cases
• Code organization
• Classes and functions
• Object oriented design
• Iterators and collections
• Error handling
• Introspection
• Numeric tower
• Hasing
• Generators
• Coroutines

Level

Beginner, Intermediate, Advanced

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