MATLAB is a must have skill if you are looking to become a data scientist. MATLAB is used by data scientists around the globe to design the systems. MATLAB is used for machine learning, signal processing, image processing, computer vision, communications, robotics and more. If you are looking for industrial training in Chandigarh in MATLAB, consider DummyByte.
Matlab is an interactive system that require dimentioning. This allows the user to solve many technical computing problems especially the matrix and vector formulation. It can easily do the job in a fraction of time as compared to other programming languages like C.
MATLAB is optimized for solving the scientific and engineering problems. The built in graphics make it easy to visualize and gain insight from the data. The prebuilt libraries and tools let you to start right away with the algorithms necessary for your domain. All the MATLAB tools are trained and tested to work in sync. If you are looking for the best industrial training course in MatLab in Chandigarh, DummyByte is the right choice for you.
You can use Matlab beyond just using it on the desktop. Matlab allows you to run your analysis on the larger data sets and scale them to clouds. Matlab code can also be integrated with other programming languages. This allows the developers to deploy the algorithms in the web, enterprise and production system.
DummyByte offers industrial training in Matlab in Chandigarh. If you want to undergo industrial training in Chandigarh in Matlab or other course, you must choose DummyByte as it is one of the best industrial training institute in Chandigarh.
Python Overview :Introduction, features.
Basic Syntax:Interactive mode programming, script mode programming, identifiers, line and indentation, quotation, comment and command line arguments in python.
Variables Type:Assigning value to a variable, multiple assignment, standard dataypes, number, string, list, tuple, dictionary, data type conversion.
Basic Operators:Arithmetic operators, comparison operators, assignment operators, bitwise operators, logical operators, membership operators, identity operators.
Decision Making:Single statement suites.
Python Loops:Loops (while, for, nested), control statement of loops.
Number (Number: int, long, float, complex):Assigning value to a number, delete the reference to a number, number type conversion, mathematical functions, random number functions, trigonometric functions, mathematical constants.
String:Accessing values in string, updating strings, escape characters, string special characters, string special operators, string formatting operator, triple code, unicode string, built in string methods.
List: Basic list operations, indexes, accessing values in list, updating list, delete list elements.
Tuple: Basic tuple operations, indexing, accessing values in tuple, updating tuple, delete tuple element.
Dictionary: Accessing values in dictionary, updating dictionary, delete dictionary elements, list under dictionary, dictionary under list, sorting in dictionary.
Date and Time:Tick, time tuple, current time, getting formatted time, getting calender.
Python Function: Defining a function, calling a function, overloading concept, function arguments, required arguments, keyword arguments, default arguments, variable length arguments, anonymous function, return statements, concept of variables.
Concept of oops: Classes and objects, overview of oop terminology, creating classes, creating instance objects, accessing attributes, built in class attributes, destroying objects, class inheritance, overriding methods, overloading operators, data hiding, Encapsulation, data abstraction, polymorphism.
Module : Import statements, from import, from import * statement, locating modules, PYTHONPATH variable, namespace and scoping, dir () function, reload() function, packages in python.
Exception:Exception handling, assert statement, except clause, try finally clause, argument of exception, raising exception, user defined exception.
Django:Introduction to Djano, Django’s design philosophies, advantages of Django.
Django Overview:MVC Pattern used.
Django Project: Creating a Project, structure of project.
Apps Life Cycle, creating an Application.
Create Interface:Admin Interface
View:Creating Views, Simple View
URL Mapping, organizing your URLs, sending parameters to view.
Template System: Render function, Django template language (DTL), filters tags, block and extend tags.
Models: Creating a model, manipulating data (CRUD), other data manipulation, linking models
Email: Sending a Simple E-mail, multiple mails with send_mass_mail, HTML e-mail, sending e-mail with attachment.
Generic views: static pages, list and display data from DB.
Form processing: Using form in a view, using our own form validation.
File uploading: uploading an image
Sessions: setting up sessions, actions using sessions