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Python is an open source, high level programming scripting language. It is designed to be highly readable. In machine learning python is emerging language for many reasons as for web development, data analysis, artificial intelligence and scientific computing. It is highly recommended because of its clear, short and easy syntax. Control readability allows one or more software applications. Python has many features so it is used over other languages in many applications.

In Data Science Company in India, Machine Learning scientists working on sentiment analysis prioritize Python (70%). Many applications of Machine Learning such as Natural Language Processing (NLP) and sentiment analysis, Network security developers opt for Python because it offers an easier and faster way to build highly performing algorithms, due to the extensive collection of specialized libraries that come with it. Thats why we hire Python developers and initially provide them best Python training in India.

Why Python should be used rather than other languages?

Extreme easy text manipulation make ample of web development and documentation. No need to declare variable, type, methods in source code which make code short and flexible which other languages such as Java, C are lack off.

Scientific library is also included so matrix and vector operations, mapping can be performed easily.

Interactive shell of python used to inspect elements of program which we are developing.

Library of python include math library for low level languages, different from other languages no need to write long codes to get simple things done. Thus it is preferred over many other languages.

Benefits of Python

  1. Easy to learn for beginners, interesting to read, fewer syntactical construction.
  2. Object Oriented Program (OOP) driven language.
  3. Interpreted language thus no need to compile program before running.
  4. Supports GUI applications.
  5. Interactive mode for debugging and testing.
  6. Support functional and structured programming methods.
  7. Code is readable pseudo-code.
  8. Commonly used for backend Services
  9. Easy API Integration
  10. Python is flexible with any web platform

Future scope

Python include great library and tools for web based applications and data mining. It is the most taught language currently having vast scope. It is related to computational statistics, data analysis, mathematical optimization and predictive analysis so one can solve good quality problems by yourself. With many true features it can be used in many platforms.

Research Infinite Solutions help you in learning Python by providing exclusive Python Training in India. We have dedicated team to develop clear understanding of programming as we mainly focus on knowledge transfer and help to discover new solutions for complex problems. We offer beginners and intermediate level course on python offered as part of machine learning. This would be a step towards new career.

Guidelines to start your Python Course:

  1. Basic Knowledge of Oops
  2. Laptop is required for Lab work
  3. Kindly Install Ubuntu OS to work on Python
  4. You have to book your seat before one month to start your course

About our company:

Research Infinite Solutions

Research Infinite Solutions is leading Deep Learning based an Artificial Intelligence Company in India. Our fortune 500+ clients rely on us to improved business outcomes, operational efficiencies and drive innovation. Our Intelligent solutions provide industry-leading Machine Learning, Natural Language Processing, analytics and knowledge graphing capabilities at scale.

Lecture 1 (Duration 2 hours)

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

Lecture 2 (Duration 2 hours)

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.

Lecture 3 (Duration 2 hours)

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.

INSTRUCTOR: Aksh Malhotra

Lecture 4 (Duration 2 hours)

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.

Lecture 5 (Duration 2 hours)

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.

Lecture 6 (Duration 2 hours)

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.

INSTRUCTOR: Shankar Vishnu

Lecture 7 (Duration 2 hours)

Module : Import statements, from import, from import * statement, locating modules, PYTHONPATH variable, namespace and scoping, dir () function, reload() function, packages in python.

Lecture 8 (Duration 2 hours)

Exception: Exception handling, assert statement, except clause, try finally clause, argument of exception, raising exception, user defined exception.


  •  When I need to Book a Seat for Training?
     You have book your seat before 15 days to start the training Course, So we can finalize the seats and describe you which configurations are required.
  •  What are the System Requirements?
     You have to Install Ubuntu 16. LTS
  •  Who are the trainers?
     We didn’t hire any trainer for this training. There are Industry experts who have more than 4 Years Experience in Machine Learning and other Intelligent Platforms.
  •  What kinds of training formats are used for this Course?
     There are two modules running one is online and Second is offline.
  •  Is there any offer for Bunch of Students to opt this training?
     There is no compromise with Education. If you are a single person or more than 100+. Prices are not fixed, No subject to change.
  •  If I miss a Class, What should I do?
     We will provide videos of each class. If you missed the class. You can watch the video on next day.
  •  Who provides the Certification of Course?
     Research Infinite Solutions an ISO 9000::2015 Certified Company in India. We will provide your our Company Certification for every course.
  •  What are Payment options to opt the training Course?
     You can pay online and Offline. Regarding payment concerns, you can email us or Contact us.
  •  If I want more details about training Course, Whom do I Contact?
     You can email us, if you have any query
  •  What is an Email ID or Contact Number to Book this Course?
     There is an our Official Email Id: Contact: +91-73073-99944, +91-9877736105

Python Development Guide


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