Work Around with Jupyter Environment

Data types

Variables and Identifiers

Printing Function

Assignment Operator

Logical Operator

Arithmetic Operator

Relationship Operator

Key values concept

Slicing in Dictionary

Adding new key and value in Dictionary

Replacing Value in Dictionary

Deleting value in Dictionary

Constructors in Python

Creating a nested Dictionary

Creating nested key value

Creating tuple with Python

Creating with Built-in function

Creating tuple with Mixed Data Types

Accessing tuple with indexing

Tuple unpacking

Concatenation of tuple

Slicing tuple

Deleting tuple

Creating a set

Sets with strings

Sets with list

Appending in list

Popping in list

Removing in list

Sum in list

Max of list

Min of list

Sorting the list

Removing from list

Indexing in list

Deleting in list

Count in list

Insert to the list

Extend to the list

Creating Strings

Indexing in Strings

Slicing in Strings

Replacing of characters in Strings

Accessing characters in String

Deleting/updating of string

Escape Sequence in Python

Upper and lower in Strings

Keywords in Python

Statement Indentation and comment

Swapping two numbers

Taking input in python

Introduction to If statement

Introduction to if-else statement

If-Else elif

Nested If-else

Short hand if statement

For Loop

Iterating over a list

Iterating over a list

For and if with list

Pass with condition

Continue with Condition

Break with condition

Functions

Lambda Function

Working with csv files

Writing csv with python

Reading Csv with python

Modules and Functions in Python

Imports

Introduction to the Section

Modules and import

The standard Python library

Input and Output (I/O) in Python

Introduction to the Section

Reading and writing text files

Writing Text Files

Reading and Writing CSV File

Assignments using Dictionaries and Files

Selenium basic

Components of selenium

Navigating links using get method in Python

Locating single elements in Selenium Python

Locating multiple elements in Selenium Python

Introduction to request library

Redirecting and parsing links using beautifulsoup

HTML and XML parsing

Allocating elements using Python

Introduction to Tkinter

TkInter - Pack Geometry Manager

TkInter - Grid Geometry Manager

Using Databases in Python

Introduction to Databases

Database Terminology

MySQL Install on Windows, Mac & Linux

Introduction to MySQL

SQL queries

Exceptions

Exceptions Challenge

Exceptions Continued

Raising Exceptions

Series

DataFrame

All functions in Pandas

Dictionaries in Pandas

Reading traditional dataset in Pandas

Introduction to Numpy

Initialization in Numpy

Accessing in Numpy

Concatenation in Numpy

Splitting in Numpy

Reshaping in Numpy

Adding dimension in numpy

Shape and size in Numpy

Why Data Visualization

Data scientist using visualization

Data Visualization Using Matplotlib

Data Visualization Using Seaborn

Introduction to RE

Need for RE

RE operations

Need for data preprocessing

Cleaning data

Filling missing values

Feature scaling

Mini project

Exploring Data

Explaining the data

Need for visualization

Pre-attentive attributes

Feature Engineering

Basic of text Analysis

What is text data

What is Stemming

What is lemmatization

Punctuation in text analysis

Stop words in Text Analysis

Introduction to Vectorization

Text Analysis Project (Sentiment Analysis)

ML terminologies

Supervised Learning

Unsupervised Learning

Classification

Regression

Introduction to cloud services

Introduction to AWS

Connecting to AWS using Python