Python Best Practices

Python Best Practices, available at $44.99, has an average rating of 4.65, with 68 lectures, based on 31 reviews, and has 380 subscribers.

You will learn about Learn Best Practices With Python Data Types: List, Tuples, Dict and set Expand your knowledge of Python Basics Further your understanding of the Python programming language This course is ideal for individuals who are Anyone wanting to become more efficient with the Python Programming Language It is particularly useful for Anyone wanting to become more efficient with the Python Programming Language.

Enroll now: Python Best Practices

Summary

Title: Python Best Practices

Price: $44.99

Average Rating: 4.65

Number of Lectures: 68

Number of Published Lectures: 68

Number of Curriculum Items: 68

Number of Published Curriculum Objects: 68

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Learn Best Practices With Python Data Types: List, Tuples, Dict and set
Expand your knowledge of Python Basics
Further your understanding of the Python programming language

Who Should Attend

Anyone wanting to become more efficient with the Python Programming Language

Target Audiences

Anyone wanting to become more efficient with the Python Programming Language

This Python Best Practices training course, covers the built-in data types in Python. This course is designed for beginning to intermediate Python users.

You will start by learning about data structures, including the dict type, problem statements, terms, and how to create a dict. From there, the author will teach you how to interact with the set type, such as type constructing, comprehension, and indexing. Finally, this video tutorial covers list and tuple types, including the list type, how to create a list and tuple, and semantics.

Once you have completed this computer based training course, you will have gained a solid understanding of the built-in data types in Python. Working files are included, allowing you to follow along with the author throughout the lessons.

Course Curriculum

Chapter 1: Introduction To Python Best Practices

Lecture 1: Important – Download These First – Working Files

Lecture 2: Introduction And About The Author

Lecture 3: How To Access Your Working Files

Chapter 2: Choosing The Right Data Structures

Lecture 1: The Dict Type

Lecture 2: Problem Statements

Lecture 3: Terms

Lecture 4: Dictionary

Lecture 5: Map

Lecture 6: Creating A Dict

Lecture 7: Dict.Update

Lecture 8: Dict Methods

Lecture 9: Dict.Clear

Lecture 10: Dict.Copy

Lecture 11: Dict.Get

Lecture 12: Dict.Pop And Dict.Popitem

Lecture 13: Dict.Keys, Dict.Values And Dict.Items

Lecture 14: Dict.Setdefault

Lecture 15: Dict.__Missing__

Lecture 16: Dict Comprehensions

Lecture 17: Lookup Table

Lecture 18: Relation And Function

Lecture 19: __Getitem__ And __Call__

Lecture 20: Dict-Alikes

Lecture 21: Rangedict And Passthrudict

Lecture 22: Collections.Defaultdict

Lecture 23: Hash

Lecture 24: Dict Versus Object

Lecture 25: Semantics

Lecture 26: Attribute Dictionary

Lecture 27: Vigenere Cipher

Lecture 28: Concordance

Chapter 3: Interacting With The Set Type

Lecture 1: Problem Statement

Lecture 2: The Set Type

Lecture 3: Type Constructing

Lecture 4: Indexing

Lecture 5: Iterate And Union

Lecture 6: Remove And Discard

Lecture 7: Comprehension

Lecture 8: Example And Valid Straights

Lecture 9: Best_Hand

Lecture 10: Helper Functions

Lecture 11: Example Hands

Lecture 12: Displaying Example Hands

Lecture 13: Additional Methods

Lecture 14: Prime Number Generator

Chapter 4: List And Tuple Types

Lecture 1: Introduction To List And Tuple Type

Lecture 2: Problem Statement

Lecture 3: The List Type

Lecture 4: The Tuple Type

Lecture 5: Creating A List

Lecture 6: Creating A Tuple

Lecture 7: Comprehension Syntax

Lecture 8: Getitem

Lecture 9: Setitem

Lecture 10: Setitem – Corner Case

Lecture 11: Delitem

Lecture 12: Iteration

Lecture 13: Unpacking

Lecture 14: Addition And Multiplication

Lecture 15: Argument Unpacking

Lecture 16: .Count And .Index

Lecture 17: List Methods

Lecture 18: Semantics

Lecture 19: Collections.Namedtuple

Lecture 20: Collections.Deque – Stacks, Queues And Deques

Lecture 21: Collections.Deque – More Stacks

Lecture 22: Heapq Module

Chapter 5: Conclusion

Lecture 1: Wrap-Up

Instructors

Infinite Skills
High Quality Training

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 5 votes
4 stars: 12 votes
5 stars: 13 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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