Python Programming

Live / Classroom Sessions

Duration : 30 Days

Live Classes Fee : ~~3,200~~ 2,500

Basics, Operators, Data Types
Functions, Modules, Packages
Sequence or Collections - List, Dictionary, Tuple, Sets,

String Handling, RegEx
Control Statements, Loops
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

Live Project development

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

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
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 to functions
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

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
Python Lists- 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
Advantages of Tuple over List
Creating and Accessing Tuples
Tuple Operations
Tuple Functions and Methods
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
Built-In ClassAttributes
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 to Inheritance
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

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

What is HTML?
Basics of HTML- Structure of HTML
Div and Span tag and its attribute
Table tag and its attribute
Form tag, Label tag and its attribute
Input tag, Button tag all related tags and its attribute
Image Tag and its attribute
What is CSS and what is its need?
Type of CSS
Basic CSS syntax: attribute:proptery;
How to implements all three types
CSS Class / Id
CSS Media Query
CSS Rules
What is Bootstrap?
How to use bootstrap in HTML page Online mode Offline mode
Bootstrap Button classes, Form classes, Input classes, Div classes,
And classes for Container, Header, Footer, Slider
Bootstrap Navigation Bar
Table classes
Image classes
Alert classes
Text Classes

What is JavaScript?
Basic syntax and structure
DOM Properties in JavaScript
Variable declaration
Events like : onclick, onmouseover, onmouseout, etc.
Form validation using JavaScript
Animation using JavaScript
JavaScript basic functions
What is Jquery
Basic syntax and structure
JQuery Events
JQuery Functions
Live Project

Data, Database Concept
Entity, Relation
RDBMS Concept
Normalization
Codd’s Rules
List the capabilities of SQL SELECT statements
Execute a basic SELECT statement
Projection and selection of the rows
Limit the rows that are retrieved by a query
Sort the rows that are retrieved by a query
Use ampersand substitution to restrict and sort output at runtime

Describe various types of functions available in SQL
Use character, number, and date functions in SELECT statements
Describe various types of conversion functions that are available in SQL
Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions
Apply conditional expressions in a SELECT statement (CASE, DECODE)
Identify the available group functions
Describe the use of group functions
Group data by using the GROUP BY clause
Include or exclude grouped rows by using the HAVING clause

Write SELECT statements to access data from more than one table using equijoins and no equijoins
Join a table to itself by using a self- join
View data that generally does not meet a join condition by using outer joins
Generate a Cartesian product of all rows from two or more tables
Define subqueries
Describe the types of problems that the subqueries can solve
List the types of subqueries
Write single-row and multiple-row subqueries
Describe set operators
Use a set operator to combine multiple queries into a single query
Control the order of rows returned

Describe each data manipulation language (DML) statement
Insert rows into a table
Update rows in a table
Delete rows from a table
Control transactions
Advance DML statement:- multiple Insert, Insert all
Categorize the main database objects
Review the table structure
List the data types that are available for columns
Create a simple table
Explain how constraints are created at the time of table creation
Flashback
Functionality of recycle Bin
Purge
Describe how schema objects work

Create simple and complex views
Retrieve data from views
Inline views
Top –N Analysis
Create, maintain, and use sequences
Create and maintain indexes
Create private and public synonyms
System security and data security
user creation and management
grant, revoke, with grant option
System Privileges
Objects Privileges
Public synonyms

Introduction, USES, INSTALLATION
Ndarray object, Data Types, data type object-dtype
Various Array Attributes of NumPy - shape, ndim,itemsize, etc.
Array Creation Routines- numpy.empty, numpy,zeros, numpy.ones
Array from Existing Data- numpy.arange, numpy.linspace, numpy.logspace
Array from Numerical Ranges- numpy.arange, numpy.limspace,numpy.logspace
NumPy- Indexing & Slicing
NumPy- Advanced Indexing- Boolean
Array Indexing, Integer Indexing
NumPy- Broadcasting
NumPy- Iterating over Array- nditer, Iteration Order, Modifying Array Values, External Loop, Broadcasting Iteration
NumPy- Array Manipulation-Changing Shape, Transpose Operations, Changing Dimensions, Joining Arrays, Splitting Arrays, Adding/Removing Elements
NumPy- Binary Operators
NumPy- String Functions
NumPy- Mathematical functions
NumPy- Arithmetic Operations
NumPy- Statistical Functions
NumPy- Sort, Search & Counting Functions
NumPy- Copies & Views
NumPy- Matrix Library
NumPy- Linear Algebra
I/O with NumPy

Installation
Introduction to data structures in Pandas: Series, Data Frame and
Operations on a Series:head,tail,vector operations
Data Frame operations: create, display, iteration, select column, add column, delete column
Binary operations in a Data Frame: add, sub, mul, div, radd, rsub
Matching and broadcasting operations
Missing data and filling values.
Comparisons, Boolean reductions, comparing Series, and combining Data Frames
Transfer data between CSV files/SQL databases, and Data Frame objects

Advanced operations on Data Frames: pivoting, sorting, and aggregation,
GroupBy- Split Data into Groups, View Groups, Iterating through Groups, Select a Group.
Aggregations -Multiple Aggregation, Filtration; Categorical Data, Indexing and Selecting Data
Descriptive statistics: min, max, mode, mean, count, sum, median, quartile, var
Create a histogram, and quantiles.
Function Application: pipe, apply, aggregation, transform and apply map
Function Applicaton- Tablewise , Row or Column-wise Function Application, Element-wise Function Application
ReIndexing - Reindexing, Reindex to Align with Other Objects, Filling while Reindexing, Renaming.
iteration - By Label, By Actual Value
Working with Text Data - Data Functionality; Timedelta , and altering labels.
Options and Customisation- get_option(), set_option(), describe_option(), option_context();
Merging /Joining; concatenation IO Tools- read_csv, read_table, Comparison with SQL

Basic Plotting -Plot, Bar Pilot, Histograms, Box Pilots, Area Pilot, Scatter Plot, Pie Chart.
MATPlot Library

Next Batch -

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

Connect with us

Call

Next Batch -

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

INTERNSHIP Placement Training on Python(DataScience & Machine learning)

Core& Advance Python
SQL - for data handling
Machine Learning -Numpy Library for statistical operations
DataScience -Panda Framework for data analytics
Visualization-matplotlib,aplotting library

Duration : 3 Months (3 HRS daily)

Python, as a high level programming language, allows you to focus on core functionality of the application by taking care of common programming tasks. Django is an open-source python web framework used for rapid development, pragmatic, maintainable, clean design, and secures websites.

~~3,200~~

2,500

Next Batch -

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

Python Programming