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Autor Tópico: Data Structures & Algorithms - Python - Udemy  (Lida 165 vezes)

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Data Structures & Algorithms - Python - Udemy
« em: 01 de Agosto de 2021, 06:54 »

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.12 GB | Duration: 7h 10m
The Ultimate Python Coding Interview Bootcamp

What you'll learn
Mastery of Data Structures and Algorithms
Confidently answer technical interview questions
Time and Space Complexity of Data Structures and Algorithms
Strengthen your skills as a developer

Description
This course is different...

After each line of code, an animation of the data structure or algorithm is updated to show exactly what that line of code did.

The animations provide some huge advantages to students:

Increased understanding of the concepts

Greater rate of retention

The material can be covered in a fraction of the time

That means that you can actually learn more material in less time and have higher retention of the material.

That is the key combination of factors to prepare you for the technical interview that lands you your dream job!

I invite you to watch a few of the videos in this course to see what I mean. The difference will be noticeable right away!

I spent over a year to create this course with the goal that an absolute beginner can take it and understand all of the concepts the first time through.

What you will get in this course...

Over 100 hand crafted HD videos that use animations to illustrate technical concepts.

Here is what you will learn in this course:

Technical

Big O notation

Data Structures

Arrays

Linked Lists

Doubly Linked Lists

Stacks & Queues

Binary Trees

Hash Tables

Graphs

Algorithms

Sorting

Bubble Sort

Selection Sort

Insertion Sort

Merge Sort

Quick Sort

Searching

Breadth First Search

Depth First Search

I am excited to help you move forward with your coding and career goals.

Let's get started!

Who this course is for:
Python programmers preparing for an interview
University students taking a data structures and algorithms course

Screenshots


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