2022 Complete Python Bootcamp: Data Structures with Python

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What you will learn

 

Setting up environment for development using python

 

Basics of Python

 

All the python datatypes and built-in functions in detail

 

Arithmetic operations, loops, conditional statements and more

 

List and dictionary comprehension, generators and iterators and lambda function

 

Functional programming, writing a functions and different techniques of parameter passing

 

What is object oriented programming, classes, objects and real-life examples

 

Data-Structures and Algorithms, how to think about the problem and write the code

 

Learn data structures and their applications

 

Create your first linked-list and binary search tree and much more

 

Learn Traversing, Inserting, Deleting elements in Linked Lists and Binary Search Trees

Description

Learn Python and become a most valuable asset of the year 2022 for Employers! As Python has become most requested skill of 2022 with heigh demand for python developer at very heigh salaries. 

In any technical interview Data Structures is one of the main topic that is being asked 100% of the time. So learning Data  Structures while learning the programming language will boost your confidence doing your projects and answering questions during your interviews.


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In this Course-

We will start with installing python, with understanding basics of python and on this wonderful journey, we will come across-

  1. All the python datatypes and built-in functions in depth

  2. Arithmetic operations, loops, conditional statements and more

  3. The Must-know functions of python like Map, Filter, Lambda, List and dictionary Comprehension, generators and iterators.

  4. And We will also cover Functions, OOPs Concepts, and take a deep dive into Data Structures & Algorithms

     

We will apply all the concepts practically so you will be able to grasp every bit of python!.

Once you reached at the end of this course you can confidently apply for the positions for Python Developer, Answer Data Structure Questions during Interviews and help your friends during projects OR you can also start the new journey by learning python libraries to become a Data Scientist (by learning NumPy, Pandas, Matplotlib, PySpark), AL/ML engineer (by learning Scikit-learn, TensorFlow, Keras), Web Developer (by learning Django, flask, pyramid) and many many more…

You will get the lifetime access to the video content and corresponding slides and code for the lectures!

This course is supported with 30 day MONEY BACK GURANTEE!!. If you feel unsatisfied during this course your money will be refunded plus we will be giving you access of all our code and slides as a gesture of thank you for trying our course.

So what are you waiting for? Learn Python and take a step toward a bright career and increase your knowledge with learn by doing approach!!

 

English
language

Content

Course Introduction

Introduction | Why Python
Course Overview

Environment Setup

Setting up Devlopment Environment | Downloading Python & Pycharm and Installing
Writing your First Python Code & Understanding Pycharm and its Features
Writing Some More Python Code | Take Input & Add Numbers

Variables in Python

How Python Allocates Memory
Variable Declaration and Memory Allocation

Python datatypes – String, List, Tuple, Dictionary, Set

Data types – Str | Int | Float | List | Tuple | Dict | Sets | Bool
String Data Type | indexing | Slicing | Striding
String Data Type | Built-In Functions
List Data Type | Indexing | Slicing | Striding | Add | Update | Delete
Tuple Data type | Indexing | Slicing | Striding | For Loop | Copy
Dictionary | Keys & Values | For Loop | Update | Delete
Set Data Type | Add | Update | Delete | Sets Operations
Summary | List | Tuple | Dictionary | Set

Arithmetic Operators, Conditional Statements and Loops

Arithmetic Operators | Add | Subtract | Multiply | Divide | Modulus | Power
Comparation And Logical Operators | Equal-Not Equal | Greater-Less | And-Or-Not
Conditional Statements | If…Else | If…..Elif…..Else
Loops | For Loop | While Loop
Continue and Break Statements in Loops

Built-In Functions And Modules

Built-In Functions | Min | Max | Sum | Round | Abs | Ascii | Bin | etc.
Math Module | Ceil-Floor | Sqrt | Factorial | Pow | Log | Radians | Sin-Tan-Cos
Random Module | Random | Choice | Randint | Uniform

Functional Programming

List Comprehension
Dictionary Comprehension
Generators | Next & Yield Statements
Iterators | Itertools Module | Cycle | Chain | Repeat | Iter & Next Statement
Lambda Function | Use with Map & Filter

File Operations

Introduction to File Operations | Open | Close | Read | Readline & Readlines
File Operations | Read – Write – Append

Functions

Introduction to User Defined Functions
Parameter Passing Techniques | Positional – Default – Keyword
Recursive Functions | Writing Recursive Function to Find Factorial

Object Oriented Programming

Introduction to Object Oriented Programming | Classes & Objects
Inheritance and Overriding in oops
OOPs | Class variable – Class Method – Static Method

Introduction to Data Structures and Algorithms

Introduction to Data Structures and Algorithms
DSA | Introduction to Stack & Queues

DSA | Linked List

Linked List | Nodes | Working & Types of Linked List | Creating a Linked List
Linked List | Traversing Through Linked List
Doubly Linked List | Understanding Difference of SLL & DLL | Traversing DLL
Linked List | Add Element At End | Singly & Doubly Linked List
Linked List | Add Element At Beginning | Singly & Doubly Linked List
Linked List | Add Element At Any Location | Singly & Doubly Linked List
Linked List | Delete Element At Any Location | Singly & Doubly Linked List

DSA | Stack & Queues

Stack | Implement Stack Using List
Queue | Implement Queue Using List
Stack | Implement Stack Using Linked List
Queue | Implement Queue Using Linked List

DSA | Binary Search Tree

Binary Search Tree | Introduction | Working | Creating Your First BST
Binary Search Tree | Inorder Traversal
Binary Search Tree | Preorder & Postorder Traversal
Binary Search Tree | Insert New Element

Bonus Section | Thank You!!

Congratulations

 

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