Python Programming

Live / Classroom Sessions

Duration : 30 Days

Live Classes Fee : ~~3,300~~ 2,500

Basics, Operators, Data Types
Control Statements, Loops
Functions, Modules, Packages
String Handling, RegEx

Sequence or Collections - List, Dictionary, Tuple, Sets
OOPS, Inheritance, Exception Handling, IO, Multithreading

Master the basics of Django/Data Analytics

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Preferred Learning Mode*

Classroom Live

Next Batch -

21/12/2020
|
Tuesday
|
03:30 AM

Course Features

Complimentary Life time Access to Python Online course
Course mentored by Industry expert
Project-based learning which will add stars to your resume
Course completion certificate
1 Minor Project based on real-world applications

Course Overview

This course will help you to learn Python Programming Language which is basic to build Scientific Computing, Data Science, Data Analytics, Machine Learing and AI models and general purpose web applications.. The course will be mentored & guided by an Industry expert having hands-on experience in the design, development & maintenance of Java based web applications.The course includes 2 minor projects based on real-world applications with guided lab sessions.
It will be an online live (Live Stream) class, so you can attend this class from any geographical location. It will be an interactive live session, where you can ask your doubts to the instructor (similar to an offline classroom program).
Pre-requisites: Will to learn
Recommended for: Anyone who wants to learn and build Data Analytics/ ML/ AI Model or Python-based web applications, specifically
- 1. College students who are looking for training in Python/ NumPy/ Pandas/ Matplotlib/ Django/ Flask
- 2. Working Professionals who want to learn backend development with Python / Django/ Flask or Data Analytics

Course Mentor

Nitesh Sir, synonymous for C, C++, Data Structure and Python Training is a very seasoned trainer loved by students from last 11 years. His knowledge and delivery style for any entry level programming languages training for beginners specifically ' C, C++, Data Structure & Python ' is appreciated not only by graduates, undergraduates but by professionals also who are working on these technologies. He is the most preferred trainer of beginners.

Course Content

Introduction to Python
What is Python and history of Python?
Unique features of Python
Install Python and Environment Setup
First Python Program
Python Identifiers, Keywords and Indentation
Comments and document interlude in Python
Command line arguments
Getting User Input
Python Operators Overview
Arithmetic Operations on Numeric Values
Logical Operators
Relational or Comparison Operators
Bitwise Operators
Identity Operators
Membership Operators
Order of Operands
Operators on Strings

Variables
Types of Variables
Types of Variables-String, Types of Variables-Numeric
Types of Variables-Boolean Variables
Types of Variables-List Adding Elements to a List Accessing the Elements of a List
Types of Variables-Dictionary
Introduction to Control Statements
Pass Statements
Conditional Statements
Types of Conditional Statements
If Statements
If...Else Statements
If...Else If Statements
If...Else If...Else Statements
Nested If Statements
Loops in Python
For Loop
While Loop
Loop else statement Nested Loop
range() Function
break Statements
continue Statements

Introduction
Python user defined functions
Python packages functions Structure of Python module Importing module in a Python Program
Importing entire module Importing selected object from a module
Python’s processing of import module command
Working with math, random and other module
Defining and calling Function
Arguments and Return Statement
Variable-Length Arguments Recursion
Python Modules & Packages
String Handling - Accessing Values in Strings
Various String Operators String Slices
String Functions and Methods
What are regular expressions?
The match Function
The search Function Matching vs searching
Search and Replace Extended Regular Expressions
Wildcard

PythonLists-Lists are mutable
Creating and Accessing Lists List Operations
Working with List
List Function and Methods
A Dictionary- Key: Value Pairs
Working with Dictionaries
Dictionary Functions and Methods
Python TUPLE-Advantages of Tuple over List
Creating and Accessing Tuples
Tuple Operations
Tuple Functions and Methods
Python Sets-How to create a set?
Iteration Over Sets
Python Set Methods
Python Set Operations
Union of sets
Built-in Functions with Set
Python Frozensett

Overview of OOP
Creating Classes and Objects
Accessing attributes
More about class and its members
Variable in class : Instance variable, Class variable Method in class
Instance method, Static method Built-In ClassAttributes
Some standard methods
The init method[__init__()] The del method [__del__()](Destroying Objects)
The str method [__str__()]
Private Attributes
Reading and modifying properties of classes using attr Methods
The Self Reference
Instance as an argument and return type

Introduction
Need for Inheritance Different Forms of Inheritance
Derived and Base classes (Subclassing)
Creating object of derive class
The derive class __init__()
Sub classing and scoping Overriding methods

What is Exception?
Handling an exception try....except...else
try-finally clause
Argument of an Exception
Python Standard Exceptions
Raising an exceptions
User-Defined Exceptions
File I/O - Reading and writing text files Writing Text Files
Appending to Files and Challenge
Writing Binary Files Manually
Using Pickle to Write Binary Files
What is multithreading? Starting a New Thread
The Threading Module Synchronizing Threads
Multithreaded Priority Queue
Python Spreadsheet Interfaces
Python XML interfaces

Next Batch -

21/12/2020
|
Tuesday
|
03:30 AM

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Next Batch -

21/12/2020
|
Tuesday
|
03:30 AM

Core & Advance Python

Duration : 35 hours

SSI's SQL for Data Analytics online course teaches students/developers the most in demand data retieving language SQL.Through hands-on learning you’ll load, extract, and manipulate data from relational databases. Study at your own pace and grow your SQL skills.

~~3,300~~

2,500

Next Batch -

21/12/2020
|
Tuesday
|
03:30 AM

Python Programming