Python videos

Python videos
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Objectives of the Course

To understand the concepts and constructs of Python

To create own Python programs, know the machine learning algorithms in Python and work on a real-time project running on Python

Who should do the course

Big Data Professionals

IT Developers

Those who are showing interest to build their career in Python

Python Training Course Duration

35 Days, Daily 1 Hours

Python Course Content

Core Python

Introduction to Languages

What is Language?

Types of languages

Introduction to Translators

Compiler

Interpreter

What is Scripting Language?

Types of Script

Programming Languages v/s Scripting Languages

Difference between Scripting and Programming languages

What is programming paradigm?

Procedural programming paradigm

Object Oriented Programming paradigm

Introduction to Python

What is Python?

WHY PYTHON?

History

Features – Dynamic, Interpreted, Object oriented, Embeddable, Extensible, Large standard libraries, Free and Open source

Why Python is General Language?

Limitations of Python

What is PSF?

Python implementations

Python applications

Python versions

PYTHON IN REALTIME INDUSTRY

Difference between Python 2.x and 3.x

Difference between Python 3.7 and 3.8

Software Development Architectures

Python Software’s

Python Distributions

Download &Python Installation Process in Windows, Unix, Linux and Mac

Online Python IDLE

Python Real-time IDEs like Spyder, Jupyter Note Book, PyCharm, Rodeo, Visual Studio Code, ATOM, PyDevetc

Python Language Fundamentals

Python Implementation Alternatives/Flavors

Keywords

Identifiers

Constants / Literals

Data types

Python VS JAVA

Python Syntax

Different Modes of Python

Interactive Mode

Scripting Mode

Programming Elements

Structure of Python program

First Python Application

Comments in Python

Python file extensions

Setting Path in Windows

Edit and Run python program without IDE

Edit and Run python program using IDEs

INSIDE PYTHON

Programmers View of Interpreter

Inside INTERPRETER

What is Byte Code in PYTHON?

Python Debugger

Python Variables

bytes Data Type

byte array

String Formatting in Python

Math, Random, Secrets Modules

Introduction

Initialization of variables

Local variables

Global variables

‘global’ keyword

Input and Output operations

Data conversion functions – int(), float(), complex(), str(), chr(), ord()

Operators

Arithmetic Operators

Comparison Operators

Python Assignment Operators

Logical Operators

Bitwise Operators

Shift operators

Membership Operators

Identity Operators

Ternary Operator

Operator precedence

Difference between “is” vs “==”

Input & Output Operators

Print

Input

Command-line arguments

Control Statements


Conditional control statements

If

If-else

If-elif-else

Nested-if

Loop control statements

for

while

Nested loops

Branching statements

Break

Continue

Pass

Return

Case studies

Data Structures or Collections

Introduction

Importance of Data structures

Applications of Data structures

Types of Collections

Sequence

Strings, List, Tuple, range

Non sequence

Set, Frozen set, Dictionary

Strings

What is string

Representation of Strings

Processing elements using indexing

Processing elements using Iterators

Manipulation of String using Indexing and Slicing

String operators

Methods of String object

String Formatting

String functions

String Immutability

Case studies

List Collection

What is List

Need of List collection

Different ways of creating List

List comprehension

List indices

Processing elements of List through Indexing and Slicing

List object methods

List is Mutable

Mutable and Immutable elements of List

Nested Lists

List_of_lists

Hardcopy, shallowCopy and DeepCopy

zip() in Python

How to unzip?

Python Arrays:

Case studies

Tuple Collection

What is tuple?

Different ways of creating Tuple

Method of Tuple object

Tuple is Immutable

Mutable and Immutable elements of Tuple

Process tuple through Indexing and Slicing

List v/s Tuple

Case studies

Set Collection

What is set?

Different ways of creating set

Difference between list and set

Iteration Over Sets

Accessing elements of set

Python Set Methods

Python Set Operations

Union of sets

functions and methods of set

Python Frozen set

Difference between set and frozenset ?

Case study

Dictionary Collection

What is dictionary?

Difference between list, set and dictionary

How to create a dictionary?

PYTHON HASHING?

Accessing values of dictionary

Python Dictionary Methods

Copying dictionary

Updating Dictionary

Reading keys from Dictionary

Reading values from Dictionary

Reading items from Dictionary

Delete Keys from the dictionary

Sorting the Dictionary

Python Dictionary Functions and methods

Dictionary comprehension

Functions

What is Function?

Advantages of functions

Syntax and Writing function

Calling or Invoking function

Classification of Functions

No arguments and No return values

With arguments and No return values

With arguments and With return values

No arguments and With return values

Recursion

Python argument type functions :

Default argument functions

Required(Positional) arguments function

Keyword arguments function

Variable arguments functions

‘pass’ keyword in functions

Lambda functions/Anonymous functions

map()

filter()

reduce()

Nested functions

Non local variables, global variables

Closures

Decorators

Generators

Iterators

Monkey patching

Advanced Python

Python Modules

Importance of modular programming

What is module

Types of Modules – Pre defined, User defined.

User defined modules creation

Functions based modules

Class based modules

Connecting modules

Import module

From … import

Module alias / Renaming module

Built In properties of module

Packages

Organizing python project into packages

Types of packages – pre defined, user defined.

Package v/s Folder

py file

Importing package

PIP

Introduction to PIP

Installing PIP

Installing Python packages

Un installing Python packages

OOPs

Procedural v/s Object oriented programming

Principles of OOP – Encapsulation , Abstraction (Data Hiding)

Classes and Objects

How to define class in python

Types of variables – instance variables, class variables.

Types of methods – instance methods, class method, static method

Object initialization

‘self’ reference variable

‘cls’ reference variable

Access modifiers – private(__) , protected(_), public

AT property class

Property() object

Creating object properties using setaltr, getaltr functions

Encapsulation(Data Binding)

What is polymorphism?

Overriding

i) Method overriding

ii) Constructor overriding

Overloading

i) Method Overloading

ii) Constructor Overloading

iii) Operator Overloading


Class re-usability

Composition

Aggregation

Inheritance – single , multi level, multiple, hierarchical and hybrid inheritance and Diamond inheritance

Constructors in inheritance

Object class

super()

Runtime polymorphism

Method overriding

Method resolution order(MRO)

Method overriding in Multiple inheritance and Hybrid Inheritance

Duck typing

Concrete Methods in Abstract Base Classes

Difference between Abstraction & Encapsulation

Inner classes

Introduction

Writing inner class

Accessing class level members of inner class

Accessing object level members of inner class

Local inner classes

Complex inner classes

Case studies

Exception Handling & Types of Errors


What is Exception?

Why exception handling?

Syntax error v/s Runtime error

Exception codes – AttributeError, ValueError, IndexError, TypeError…

Handling exception – try except block

Try with multi except

Handling multiple exceptions with single except block

Finally block

Try-except-finally

Try with finally

Case study of finally block

Raise keyword

Custom exceptions / User defined exceptions

Need to Custom exceptions

Case studies

Regular expressions


Understanding regular expressions

String v/s Regular expression string

“re” module functions

Match()

Search()

Split()

Findall()

Compile()

Sub()

Subn()

Expressions using operators

Sleep()

Join()

Synchronization – Lock class – acquire(), release() functions

Case studies

Garbage collection


Introduction

Importance of Manual garbage collection

Self reference objects garbage collection

‘gc’ module

Collect() method

Threshold function

Case studies

Python Data Base Communications(PDBC)


Introduction to DBMS applications

File system v/s DBMS

Communicating with MySQL

Python – MySQL connector

connector module

connect() method

Oracle Database

Install cx_Oracle

Cursor Object methods

execute() method

executeMany() method

fetchone()

fetchmany()

fetchall()

Static queries v/s Dynamic queries

Transaction management

Case studies

Python – Network Programming


What is Sockets?

What is Socket Programming?

The socket Module

Server Socket Methods

Connecting to a server

A simple server-client program

Server

Client

Tkinter & Turtle


Introduction to GUI programming

Tkinter module

Tk class

Components / Widgets

Label , Entry , Button , Combo, Radio

Types of Layouts

Handling events

Widgets properties

Case studies

Data analytics modules


Numpy

Introduction

Scipy

Introduction

Arrays

Datatypes

Matrices

N dimension arrays

Indexing and Slicing

Pandas

Introduction

Data Frames

Merge , Join, Concat

MatPlotLib introduction

Drawing plots

Introduction to Machine learning

Types of Machine Learning?

Introduction to Data science

DJANGO


Introduction to PYTHON Django

What is Web framework?

Why Frameworks?

Define MVT Design Pattern

Difference between MVC and MVT

PANDAS

Pandas – Introduction


Pandas – Environment Setup


Pandas – Introduction to Data Structures


Dimension & Description

Series

DataFrame

Data Type of Columns

Panel

Pandas — Series


Series

Create an Empty Series

Create a Series f

rom ndarray

rom dict

rom Scalar

Accessing Data from Series with Position

Retrieve Data Using Label (Index)

Pandas – DataFrame


DataFrame

Create DataFrame

Create an Empty DataFrame

Create a DataFrame from Lists

Create a DataFrame from Dict of ndarrays / Lists

Create a DataFrame from List of Dicts

Create a DataFrame from Dict of Series

Column Selection

Column Addition

Column Deletion

Row Selection, Addition, and Deletion

Pandas – Panel


Panel()

Create Panel

Selecting the Data from Panel

Pandas – Basic Functionality


DataFrame Basic Functionality

Pandas – Descriptive Statistics


Functions & Description

Summarizing Data

Pandas – Function Application


Table-wise Function Application

Row or Column Wise Function Application

Element Wise Function Application

Pandas – Reindexing


Reindex to Align with Other Objects

Filling while ReIndexing

Limits on Filling while Reindexing

Renaming

Pandas – Iteration


Iterating a DataFrame

iteritems()

iterrows()

itertuples()

Pandas – Sorting


By Label

Sorting Algorithm

Pandas – Working with Text Data


Pandas – Options and Customization


get_option(param)

set_option(param,value)

reset_option(param)

describe_option(param)

option_context()

Pandas – Indexing and Selecting Data


Pandas – Statistical Functions


Pandas – Window Functions


Pandas – Aggr


Pandas – Missing Data


Pandas – GroupBy


Pandas – Merging/Joining


Merge Using ‘how’ Argument

Pandas – Concatenation


Pandas – Date Functionality


Pandas – Timedelta


Pandas – Categorical Data


Object Creation

Pandas – Visualization


Pandas – IO Tools


csv

Pandas – Sparse Data


Pandas – Caveats & Gotchas


Pandas – Comparison with SQL


NUMPY

NUMPY − INTRODUCTION


NUMPY − ENVIRONMENT


NUMPY − NDARRAY OBJECT


NUMPY − DATA TYPES


NUMPY − ARRAY ATTRIBUTES


NUMPY − ARRAY CREATION ROUTINES


NUMPY − ARRAY FR


NUMPY − ARRAY FROM NUMERICAL


NUMPY − INDEXING & SLICING


NUMPY − ADVANCED INDEXING


NUMPY − BROADCASTING


NUMPY − ITERATING OVER ARRA


NUMPY – ARRAY MANIPULATION


NUMPY – BINARY OPERATORS


NUMPY − STRING FUNCTIONS


NUMPY − MATHEMATICAL FUNCTIONS


NUMPY − ARITHMETIC OPERATIONS


NUMPY − STATISTICAL FUNCTIONS


NUMPY − SORT, SEARCH &


NUMPY − BYTE SWAPPING


NUMPY − COPIES & VIEWS


NUMPY − MATRIX LIBRARY


NUMPY − LINEAR ALGEBRA


NUMPY − MATPLOTLIB


NUMPY – HISTOGRAM USING MATPLOTLIB




NUMPY − I/O WI

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