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Data Structures And Algorithms In Python
21 October 2019
Data structures are
basically that- they are structures which can preserve some statistics
together. In different words they are used to store a collection of associated
data. There are four built-in records structures in Python; list, tuple, dictionary
Algorithm is a step by
step procedure, which defines a set of instructions to be performed in a
certain order to get the preferred output. Knowledge of algorithms and
information buildings is beneficial for statistics scientists because our
options are inevitably written in code. As such, it is vital to recognize the shape of our data and how to think in terms of algorithms.
Learning about information structures and
algorithms makes you a stonking suitable programmer. Data buildings and algorithms are patterns for fixing problems. The greater of them you have in your utility belt, the larger variety of problems you will be capable to solve.
structures and algorithms in
python is a course that will help you in better understanding of basics of
Data Structures and how algorithms are implemented in high level
programming language. This course consists of lectures on data structures
and algorithms which covers the computer science theory + implementation of data
structures in python language. This course will also help students to
face interviews at the top technology companies. This course is like
having personal tutors to teach you about data structures and algorithms.
There’s tons of concepts and content in this
course. To begin the course:
We have a discussion of why we need data structures.
Then we move on to discuss Analysis of
Algorithms ie Time and Space complexity, though the Asymptotic Notation ie Big O, Omega and Theta
are taken up at the end of this course so that you do not get confused and
concentrate on understanding the concepts of data structures.
We have programming environment setup to
make sure you have all the software you need in order to get the hands on
experience in implementing Data structures and algorithms.
Then we get to the essence of the course;
algorithms and data structures. Each of the specific algorithms and data
structures is divided into two sections. Theory lectures and implementation of
those concepts in Python. We then move on to learn:
Stacks, Queues, Deques
Trees & Binary Trees
Binary Search Trees
Priority Queues and Heaps
Graphs & Graph
Searching and Sorting
Again, each of these sections includes
theory lectures covering data structures & their Abstract Data Types and/or
algorithms. Plus the implementation of these topics in Python.
Prior knowledge of Programming any high
Basic knowledge of Python Programming
will you learn:
Learn Data Structures, Abstract Data Types
and their implementation in Python
Implementation of Searching Algorithms in
Implementation of Stacks, Queues, Linked
List, Binary Trees, Heaps and Graphs in Python
Implementation of Binary Tree Traversal
Techniques in Python
Graph traversals techniques i.e Depth First
Search and Breadth-First Search in Python
Implementation of Sorting Algorithms in
Enhance Analytical Skill and efficiently use
searching and sorting algorithms in real applications.
Course Link : https://www.simpliv.com/python/data-structures-and-algorithms-in-python