Java Programming is intended for software engineers, systems analysts, program managers and user support personnel who wish to learn the Java programming language.

Learning Objectives

To learn why Java is useful for the design of desktop and web applications.
To learn how to implement object-oriented designs with Java.
To identify Java language components and how they work together in applications.

To design and program stand-alone Java applications.
To learn how to design a graphical user interface (GUI) with Java Swing.
To understand how to use Java APIs for program development.

To learn Java generics and how to use the Java Collections API.
To understand how to design applications with threads in Java.
To learn how to read and write files in Java.

The Core Java training program is based on concepts of Basic Java, Java Classes, and Graphics. At our Java Training institute in Pune, you will make a computer application based on Java. You will develop a scientific calculator, which can perform functions like addition, subtraction, multiplication, square root, trigonometry, etc. This project will involve all the basic concepts of Java ranging from Java Basics to Graphics.

This Java course is designed for people who don't have any knowledge about programming. It doesn't matter if you have never written any programs or you have no idea about programming. After doing this course from our Java Training institute in Pune, all this will change. You will bust the myth that programming is a difficult thing only for the few! Java is one of the most in demand & highest paying programming language. After this course you will be able to use the advanced components of Java language. At Java Training in Shivaji Nagar Pune, this Java course is meant for everyone. No prior knowledge about Java is needed. Everything is described from the beginning to expert level. Everything is described in the course. You do not need to do anything before this course.

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Best Python Training with Real-time Project
Python is a widely used general-purpose, high-level programming language. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.
Audience:
Freshers: BE – CS, IT, ENTC |B.Tech |BCA | BSC. cs | MCA | MSc | MCS | ME |M.Tech

IT Professional: Application programmers, automation engineer, testers, system administrators, web-crawlers and UNIX/NT power users.

Prerequisites: Basic of C Prog | UNIX or Windows.

Additional Benefits:
We provide real time scenarios examples, how to work in real time projects
We guide for resume preparation by giving sample resume
Will give you 2 POC (proof Of Concept) with Data set so that you can practice before going for interview
We provide hands on in class room itself so that you can understand concepts 100%
We give assignments for weekdays practice

PYTHON with Django

Topic 1: An Introduction to Python
Introductory Remarks about Python
Strengths and Weaknesses
A Brief History of Python
Python Versions - Installing Python
Environment Variables
Executing Python from the Command Line
IDLE - Editing Python Files
Getting Help - Dynamic Types
Python Reserved Words
Naming Conventions

Topic 2: Basic Python Syntax
Introduction - Basic Syntax - Comments
String Values - String Operations
Theformat Method
String Slices - String Operators
Numeric Data Types
Conversions
Simple Input and Output
Theprint Function

Topic 3: Language Components
Introduction - Control Flow and Syntax
Indenting -Theif Statement
Relational Operators - Logical Operators
True or False = Bit Wise Operators
Thewhile Loop
breakand continue - The for Loop

Topic 4: Collections
Introduction - Lists
Tuples - Sets
Dictionaries - Sorting Dictionaries
Copying Collections
Summary

Topic 5: Functions
Introduction, Defining Your Own Functions
Parameters, Function Documentation
Keyword and Optional Parameters
Passing Collections to a Function
Variable Number of Arguments
Scope, Functions - "First Class Citizens"
Passing Functions to a Function
Mapping Functions in a Dictionary
Lambda, Closures

Topic 6: Modules
Modules
Standard Modules –sys, math, time
Thedir Function

Topic 7: Exceptions
Errors - Run Time Errors
The Exception Model
Exception Hierarchy
Handling Multiple Exceptions
Raise - assert
Writing Your Own Exception Classes

Topic 8: Input and Output
Introduction - Data Streams
Creating Your Own Data Streams
Access Modes
Writing Data to a File
Reading Data From a File
Additional File Methods
Using Pipes as Data Streams
Handling IO Exceptions
Working with Directories
Metadata - Thepickle Module

Topic 9: Classes in Python
Classes in Python
Principles of Object Orientation
Creating Classes - Instance Methods
File Organization - Special Methods
Class Variables - Inheritance
Polymorphism
Type Identification
Custom Exception Classes
Class Documentation –pydoc

Topic 10: Regular Expressions
Introduction - Simple Character Matches
Special Characters - Character Classes
Quantifiers - The Dot Character
Greedy Matches - Grouping
Matching at Beginning or End
Match Objects - Substituting
Splitting a String - Compiling Regular Expressions
Flags

Python Level -2 (Django Framework)
Django is for creating web applications. That is, software, normally backed by a database, that includes some kind of interactivity, that operates through a browser. A Framework provides a structure and common methods for making this kind of software. It is not for making websites.
Django’s primary goal is to ease the creation of complex, database-driven websites. Django emphasizes reusability and "plug ability" of components, rapid development, and the principle of don’t repeat yourself. Python is used throughout, even for settings, files, and data models. Django also provides an optional administrative create, read, update and delete interface that is generated dynamically through introspection and configured via admin models.

Topic 1 - Introduction to Python Django
Installation - Database Models
Views, URLs and Templates
Advanced View and Sample Templates
The Admin Interface - Template Language
Static Files - Cookies and Sessions

Topic 2 - Project: Creating a Registration and Login System
Login and Logout
User Registration
Extending the Registration Form

Topic 3 - Working with Databases
Creating forms for database models
Updating Database Models




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Basic Python with Machine Learning

Best Python Training with Real-time Project


Python is a widely used general-purpose, high-level programming language. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.
Audience: Application programmers, automation engineer, testers, system administrators,
web-crawlers and UNIX/NT power users.
Prerequisites: Basic of UNIX or Windows.
For whom Python is?
IT folks who want to excel or change their profile in a most demanding language which is in demand by almost all clients in all domains because of below mentioned reasons-
Python is open source (Cost saving)
Python has relatively few keywords, simple structure, and a clearly defined syntax. This allows the student to pick up the language in a relatively short period of time.
Django framework might be the most famous Python web framework, there is also a host of successful small and micro-frameworks.

Who use Python?
Google makes extensive use of Python in its web search system, and employs Python’s creator Guido van Rossum.
The YouTube video sharing service is largely written in Python.
Intel, Cisco, Hewlett-Packard, Seagate, Qualcomm, and IBM use Python for hardware testing.
JPMorgan Chase, UBS, Getco, and Citadel apply Python for financial market forecasting.
NASA, Los Alamos, JPL, use Python for scientific programming tasks.
iRobot uses Python to develop commercial robotic vacuum cleaners.
The NSA uses Python for cryptography and intelligence analysis.
And Many More J

What is the job trend in Python?
As Per the indeed.com, percentage growth of Python is 700 times more than its peer Languages.
Python is part of the winning formula for productivity, software quality, and maintainability at many companies around the world.

Who can learn Python?
In short anyone
Automation Engineers | Data analysts and scientist | Web Developers | Networking Professionals | Software Developers | Hadoop programmers | Desktop Applications |Robotics Engineers |Hardware level developers Contents:-
Module – I PYTHON

1: Introduction
What is Python..?
A Brief history of Python
Why Should I learn Python..?
Installing Python
How to execute Python program
Write your first program

2: Variables & Data Types
Variables, Numbers, String
Lists ,Tuples & Dictionary

3: Conditional Statements & Loops
if…statement, if…else statement
elif…statement, The while…Loop
The for….Loop

4: Control Statements
continue statement
break statement
pass statement

5: Functions
Define function
Calling a function
Function arguments
Built-in functions

6: Modules & Packages
Modules
How to import a module…?
Packages
How to create packages

7: Classes & Objects
Introduction about classes & objects
Creating a class & object
Inheritance
Methods Overriding
Data hiding

8: Files & Exception Handling
Writing data to a file
Reading data from a file
Read and Write data from csv file
try…except
try…except…else
finally
os module

Module 2: Machine Learning
Introduction to Machine learning (ML)
What is Machine learning?
Overview about sci-kit learn and tensor flow
Types of ML
Some complementing fields of ML
ML algorithms
Machine learning examples
Getting started with Python Libraries
what is data analysis ?
why python for data analysis ?
Essential Python Libraries
Installation and setup
Jupyter Notebook
7 VS 3.5
OS
Command Line
argv
argparse module
NumPy Arrays
Creating multidimensional array
NumPy-Data types
Array attributes
Indexing and Slicing
Creating array views and copies
Manipulating array shapes
I/O with NumPy
Working with Pandas
Installing pandas
Pandas data Frames
Pandas Series
Data aggregation with Pandas DataFrames
Concatenating and appending DataFrames
Joining DataFrames
Handling missing data
Data Loading, Storage and file format
Writing CSV files with numpy and pandas
HDF5 format
Reading and Writing to Excel with pandas
JSON data
Parsing HTML with Beautiful Soup
PyTables
Python Regular Expressions
What are regular expressions?
The match Function
The search Function
Matching vs searching
Search and Replace
Extended Regular Expressions
Wildcard
Python Oracle Database Access
Install the cx Oracle and other Packages
Create Database Connection
CREATE, INSERT, READ, UPDATE and DELETE Operation
DML and DDL Operation with Databases
Performing Transactions
Handling Database Errors
Disconnecting Database
Python Multithreaded Programming
What is multithreading?
Starting a New Thread
The Threading Module
Synchronizing Threads
Multithreaded Priority Queue






×



Best 'Python Training' with Real-time Project.
Python is a widely used general-purpose, high-level programming language. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.
Audience: Application programmers, automation engineer, testers, system administrators, web-crawlers and UNIX/NT power users.
Prerequisites: Required Basics of UNIX or Windows.

For whom Python is?
IT folks who want to excel or change their profile in a most demanding language which is in demand by almost all clients in all domains because of below mentioned reasons-
Python is open source (Cost saving)
Python has relatively few keywords, simple structure, and a clearly defined syntax. This allows the student to pick up the language in a relatively short period of time.
Djangoframework might be the most famous Python web framework, there is also a host of successful small and micro-frameworks

Who use Python?
Google makes extensive use of Python in its web search system, and employs Python’s creator Guido van Rossum.
The YouTube video sharing service is largely written in Python. Intel, Cisco, Hewlett-Packard, Seagate, Qualcomm, and IBM use Python for hardware testing.
JPMorgan Chase, UBS, Getco, and Citadel apply Python for financial market forecasting.
NASA, Los Alamos, JPL, use Python for scientific programming tasks.
iRobot uses Python to develop commercial robotic vacuum cleaners.
The NSA uses Python for cryptography and intelligence analysis.
And Many More J

What is the job trend in Python?
As Per the indeed.com, percentage growth of Python is 700 times more than its peer Languages.
Python is part of the winning formula for productivity, software quality, and maintainability at many companies around the world.
Who can learn Python? In short anyone.
Automation Engineers | Data analysts and scientist | Web Developers | Networking Professionals | Software Developers | Hadoop programmers | Desktop Applications |Robotics Engineers |Hardware level developers
Contents:-
(Assignment and Live Examples)
Real time examples with live project for Google finance data extractions
Sample resumes helping you to create your resume

Additional Benefits:
We provide real time scenarios examples, how to work in real time projects
We guide for resume preparation by giving sample resume
Will give you 2 POC (proof Of Concept) with Data set so that you can practice before going for interview
We provide hands –on in class room itself so that you can understand concepts 100%
We give assignments for weekdays practice

ADVANCE PYTHON FOR MACHINE LEARNING
Module 1: Python Essentials
1: Introduction

What is Python..?
A Brief history of Python
Why Should I learn Python..?
Installing Python
How to execute Python program
Write your first program

2: Variables & Data Types
Variables
Numbers
String
Lists ,Tuples & Dictionary
3: Conditional Statements & Loops
if…statement
if…else statement
elif…statement
The while…Loop
The for….Loop

4: Control Statements
cotinoue statement
break statement
pass statement

5: Functions
Define function
Calling a function
Function arguments
Built-in functions

6: Modules & Packages
Modules
How to import a module…?
Packages
How to create packages

7: Classes & Objects
Introduction about classes & objects
Creating a class & object
Inheritance
Methods Overriding
Data hiding

8: Files & Exception Handling
Writing data to a file
Reading data from a file
Read and Write data from csv file
try…except
try…except…else
finally
os module
Machine learning (ML)

1. Introduction to Machine learning(ML)
What is Machine learning?
Overview about sci-kit learn and tensor flow
Types of ML
Some complementing fields of ML
ML algorithms
Machine learning examples

2. NumPy Arrays
Creating multidimensional array
NumPy-Data types
Array attributes
Indexing and Slicing
Creating array views and copies
Manipulating array shapes
I/O with NumPy

3. Working with Pandas
Installing pandas
Pandas DataFrames
Pandas Series
Data aggregation with Pandas DataFrames
Concatenating and appending DataFrames
Joining DataFrames
Handling missing data

4. Python Regular Expressions
What are regular expressions?
The match Function
The search Function
Matching vs searching
Search and Replace
Extended Regular Expressions
Wildcard

5. Python Oracle Database Access
Install the cx_Oracle and other Packages
Create Database Connection
CREATE, INSERT, READ, UPDATE and DELETE Operation
DML and DDL Oepration with Databases
Performing Transactions
Handling Database Errors
Disconnecting Database

6. Web Scraping in Python
7. Regression based learning
Simple regression
Multiple regression
Logistic regression
Predicting house prices with regression

8. Clustering based learning
Definition
Types of clustering
The k-means clustering algorithm

9. Data mining
Introducing data mining
Decision Tree
Affiity Analysis
Clustering

10. Classification – Sentiment Analysis
11. Natural Language Processing
Install nltk
Tokenize words
Tokenizing sentences
Stop words with NLTK
Stemming words with NLTK
Speech tagging
Sentiment analysis with NLTK

12. Making Sense of data through Visualization
Introducing matplotlib
Bar Charts
Line Charts
Scatter plots
Bubble charts

13. Working with open CV
Setting up openCV
Loading and displaying images
Applying image filters
Tracking faces
Face recognition
14. Performing predictions with Linear Regression
Simple linear regression
Multiple regression
Training and testing model