Showing posts with label algorithms. Show all posts
Showing posts with label algorithms. Show all posts

Saturday, January 28, 2017

25 off Algorithms and Data Structures in Java Part I course coupon 15

25 off Algorithms and Data Structures in Java Part I course coupon 15


AVL tree, red-black tree, B-tree, binary search tree, array, linked list, stack, queue and splay tree
Lectures 84

Video 8.5 hours

Skill Level All Levels

Languages English

Includes Lifetime access

30 day money back guarantee!

Available on iOS and Android

Certificate of Completion


Hi!


This course is about data structures and algorithms. We are going to implement the problems in Java, but I try to do it as generic as possible: so the core of the algorithms can be used in C++ or Python. The course takes approximately 5 hours to complete. I highly recommend typing out these data structures several times on your own in order to get a good grasp of it.


In the first part of the course we are going to learn about basic data structures such as linked lists, stacks and queues, heaps and some advanced ones such as hash tables and ternary search trees. The second part will be about data compression. We will try to optimize each data structure ( for example avoiding obsolete references ) as much as possible.


In each chapter I am going to talk about the theoretical background of each algorithm or data structure, then we are going to write the code step by step in Eclipse, Java.


Most of the advanced algorithms relies heavily on these topics so it is definitely worth understanding the basics. These principles can be used in several fields: in investment banking, artificial intelligence or electronic trading algorithms on the stock market.


Full details

grasp the fundamentals of algorithms and data structures

develop your own algorithms that best fit to the personal need

detect non-optimal code snippets

get to know basic complexity related definitions

get to know linked lists

get to know arrays

get to know balanced trees

get to know hash tables and ternary search trees


Full details


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Wednesday, January 25, 2017

50 off Algorithms and Data Structures in Python course coupon 10

50 off Algorithms and Data Structures in Python course coupon 10


A guide to implement the most up to date algorithms from scratch
Lectures 98

Video 10.5 hours

Skill Level All Levels

Languages English

Includes Lifetime access

30 day money back guarantee!

Available on iOS and Android

Certificate of Completion


Hi!


This course is about data structures and algorithms. We are going to implement the problems in Python, but I try to do it as generic as possible: so the core of the algorithms can be used in C++ or Java. The course takes approximately 4 hours to complete. I highly recommend typing out these data structures and algorithms several times on your own in order to get a good grasp of it.


In the first part of the course we are going to learn about basic data structures such as linked lists, heaps and some advanced ones such as ternary search trees. The second part will be about graph algorithms. We will try to optimize each data structure as much as possible.


In each chapter I am going to talk about the theoretical background of each algorithm or data structure, then we are going to write the code step by step in LiClipse, Python.


Most of the advanced algorithms relies heavily on these topics so it is definitely worth understanding the basics. These principles can be used in several fields: in investment banking, artificial intelligence or electronic trading algorithms on the stock market. Research institutes use Python as a programming language in the main: there are a lot of library available for the public from machine learning to complex networks.


Full details

Have a good grasp of algorithmic thinking

Be able to develop your own algorithms

Be able to detect and correct inefficient code snippets


Full details

This course is suited for anyone who has some basic knowledge in python


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Algorithms and Data Structures in Python
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Available link for download

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