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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

  • Easy to learn for beginners, interesting to read, fewer syntactical construction.
  • Object Oriented Program (OOP) driven language.
  • Interpreted language thus no need to compile program before running.
  • Supports GUI applications.
  • Interactive mode for debugging and testing.
  • Support functional and structured programming methods.
  • Code is readable pseudo-code.
  • Commonly used for backend Services
  • Easy API Integration
  • 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:

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

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.

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.

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.