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Python, Data Structure and Algorithms - Level 2

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Course type: Online Instructor led Course

Platform: Skype , Hangout

Course ID: 39463

Course type: Online Instructor led Course

Platform: Skype , Hangout

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About the Course

Python Level 2


Become a Python programmer and learn one of employer’s most request skill of 2017.


This is level 2 of the Python course, which is in continuation of Level 1 course.


This, once again, is a comprehensive, straight-forward, course for the Python programming language. You need to have a fair understanding of Python and Data Structures, in order to get maximum from this course!


This course will teach you Python in a practical manner, with every lecture comes a full code explanation and a corresponding code notebook! Learn in whatever manner is best for you!


I assume that you are already familiar with Python Basics and have Python Environment Setup in your machine.


Course Duration:


2 hours every Saturday and Sunday for 8 to 10 weeks (approx. 32 to 40 hours)


Prerequisites:


Laptop / Desktop and Internet Connection (and of course enthusiasm to learn!)


Syllabus:


Topic 1: Python Setup



  • Installation Notes

  • Jupyter Notebook Installation

  • IDE Selection

  • Jupyter(iPython) Notebook

  • Git and Gihub Overview

  • Additional Resources


Topic 2: Python Review and Advanced Python Modules



  • Brush Up a little on Python basics!

  • Collection Module – counter

  • Collection Module – defaultdict

  • Collection Module – OrderedDict

  • Collection Module – namedtuple

  • Datetime

  • Python Debugger – pdb

  • Timing your code – timeit

  • Regular Expressions –re

  • StringIO


Topic 3: Advanced Python Objects and Data Structures



  • Advanced Numbers

  • Advanced Strings

  • Advanced Sets

  • Advanced Dictionaries

  • Advanced Lists

  • Assessment à Solutions


Topic 4: Python Extra topics (Optional)



  • Introduction to GUIs

  • Interact

  • Widget Basics

  • Widget Events

  • Widget List

  • Widget Styling


Topic 5: Algorithm Analysis and BigO



  • Introduction

  • BigO Notation

  • BigO Examples

  • BigO for Python Data Structure

  • Assignment à Solution


Topic 6: Array Sequences



  • Introduction to Array Based Sequences

  • Low Level Arrays

  • Dynamic Arrays

  • Dynamic Array Exercise à Solution

  • Amortization

  • Arrays - Interview Questions à Solution

  • Anagram - Check Interview Problem à Solution

  • Array Pair Sum - Interview Problem à Solution

  • Finding Missing Element - Interview Problem à Solution

  • Largest Continuous Sum - Interview Problem à Solution

  • Sentence Reversal - Interview Problem à Solution

  • String Compression - Interview Problem à Solution

  • Unique Character in a String - Interview Problem à Solution


Topic 7: Stacks Queues and Deques



  • Stacks, Queues and Deques Overview

  • Implementation of Stack

  • Implementation of Queue

  • Implementation of Deque

  • Balanced Parentheses Check – Interview Question à Solution

  • Implementation a Queue using 2 stacks – Interview Question à Solution


Topic 8: Linked Lists



  • Linked Lists and Implementation

  • Singly Linked Lists and Implementation

  • Doubly Linked Lists and Implementation

  • Singly Linked List Cycle Check – Interview Problem à Solution

  • Linked List Reversal – Interview Problem à Solution

  • Linked List Nth to Last Node – Interview Problem à Solution

  • Implement a Linked List – Interview Problem à Solution


Topic 9: Recursion



  • Introduction to Recursion

  • Memoization

  • Recursion – Interview Problems à Solution


Topic 10: Trees



  • Introduction to Trees

  • Tree Representation Implementations

  • Nodes and References Implementations

  • Tree Traversals

  • Priority Queues and Binary Heaps

  • Binary Heap Implementation

  • Binary Search Trees and Implementations

  • Binary Search Tree Check – Interview Question à Solution

  • Tree Level Order Print – Interview Question à Solution

  • Trim a Binary Search Tree – Interview Question à Solution


Topic 11: Searching and Sorting



  • Search Overview

  • Sequential Search and Implementation

  • Binary Search and Implementation

  • Hashing and Implementation of Hash Table

  • Sorting Algorithm

  • Bubble Sort and Implementation

  • Selection Sort and Implementation

  • Insertion Sort and Implementation

  • Shell Sort and Implementation

  • Merge Sort and Implementation

  • Quick Sort and Implementation


Topic 13: Graph Algorithm



  • Introduction to Graphs

  • Adjacency Matrix and Adjacency List

  • Implementation of Graph

  • Word Ladder Example Problem

  • Breadth First Search

  • Knight’s Tour Example Problem

  • General Depth First Search

Date and Time

Not decided yet.

About the Trainer

Priyank Mishra picture

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0 Reviews

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4 Courses

I have been teaching Python for last 5 years. I have used Python in the fields of Machine Learning and Data Science mainly.

I provide 6 courses on Python :

1. Python, Data Structure and Algorithms - Suited for CBSE class 11 and 12 students , Computer Science Undergraduates and Professional with programming background and want to learn Python from Basics
2. Python and Data Analytics and Visualization - Suited for professionals from Data Analytics Field.
3. Hadoop with Python - For Big Data enthusiast and One who is interested in writing Map Reduce Jobs in Python.
4. Spark with Python - Professionals who like to explore Spark using Python
5. Data Science with Python : Professional interested in Deep Learning, Data Science, Neural Networks etc.
6 Full Stack Web Development with Python : Professionals who want to use Django for Full stack web Development.

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