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No 1 PYTHON TRAINING CENTER IN TRIVANDRUM

Teaching

Best in class instructors with strong industry experience.

Projects

Real time Projects, case studies and hands-on for real world industry perspective.

Training

Learning Methdology staring from the basics to the most advanced level.

Certification

Get certified from Authorised company in associated with Trinity Technologies

Interview

We give you interview questions and answers which are asked in companies.

Confidence Level

we conduct Mock Exams and Mock Interviews to boost your Confidence level.

Course Carriculum

Course carriculum is designed by 10+ Years experienced Trainer from every Domain

Lab Facility

Advnced Lab with updated system and well arranged routers for networking needs.

Python

Python is an interpreted high-level programming language for general-purpose programming. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant whitespace.
Python is a popular high-level, open source programming language with a wide range of applications in automation, big data, Data Science, Data Analytics development of games and web applications. It is a flexible, powerful object-oriented and interpreted language. Python is considered to be a programming language with the highest number of job opportunities

Easy to code

Python is a high-level programming language. Python is very easy to learn the language as compared to other languages like C, C#, Javascript, Java, etc. It is very easy to code in python language and anybody can learn python basics in a few hours or days. It is also a developer-friendly language.

Free and Open Source

Python language is freely available at the official website and you can download it from the given download link. Since it is open-source, this means that source code is also available to the public. So you can download it as, use it as well as share it.

Python is Portable language

Python language is also a portable language. For example, if we have python code for windows and if we want to run this code on other platforms such as Linux, Unix, and Mac then we do not need to change it, we can run this code on any platform

Interpreted Language

Python is an Interpreted Language because Python code is executed line by line at a time. like other languages C, C++, Java, etc. there is no need to compile python code this makes it easier to debug our code. The source code of python is converted into an immediate form called bytecode.

GUI Programming Support

Graphical User interfaces can be made using a module such as PyQt5, PyQt4, wxPython, or Tk in python. PyQt5 is the most popular option for creating graphical apps with Python.

Extensible feature

Python is a Extensible language. We can write us some Python code into C or C++ language and also we can compile that code in C/C++ language.

Large Standard Library

Python has a large standard library which provides a rich set of module and functions so you do not have to write your own code for every single thing.

Integrated language

Python is also an Integrated language because we can easily integrated python with other languages like c, c++, etc.



Python In

Machine Learning

Machine learning is a branch of artificial intelligence (AI) and C S which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. This M L with Python course will give you all the tools you need to get started with supervised and unsupervised learning.

Artificial Intelligence

This comprehensive course on ‘Artificial Intelligence’ covers all the basics of neural network-based models. Get a conceptual understanding of learning mechanisms such as the Need and history of neural networks, gradient, forward propagation, loss functions, and its implementation using python libraries

Data Science

Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills.

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