ABOUT Python

For Best Python Training in Vizag you may enroll with JNNC Technologies as it brings a training course in the widely acclaimed programming language Python, designed primarily for the budding programmers who wish to make it big in the Data Analytics Domain. Python is a high-level programming language with its powerful library, clear syntax, and high readability has emerged as one of the “must-know” languages.The Python course at JNNC Technologies is intended to impart knowledge on the basic and advance conceptual frameworks of Python which includes an in-depth understanding of sequence and file operations, machine learning, python scripts, functions in python, web scraping etc.Software Professionals such as Programmers, Web Developers, JNNC Technologies Developers, Analytics Professionals, Automation Engineers, Hadoop Programmers, Project Managers, and even beginners must learn Python to compete well and to ensure their success in the IT sector.

Pre – requisites for Python Course :

Anyone having a basic knowledge of Windows or UNIX can apply for python classes. An additional knowledge about programming will ensure faster learning and implementation in the real-time projects.

Python Syllabus :

Essentials of Python :

Defining Python

History of Python and its Growing Popularity

Python 2 vs Python 3

Features of Python and its Wide Functionality

Running a Python Script

Setting Up Python Environment for Development

Writing First Python Program

What and How of Python Installation?

Python Identifiers and Keywords

IDEs: IDLE, Pscharm, and Enthought Canopy

Indentation in Python

Python Scripts on UNIX and Windows

Programming on Interactive Shell

Installation on Ubuntu-based Machines
Comments and Writing to the Screen

Command Line Arguments and Flow Control

User Input

Essentials of Hadoop

Python Data Types and Core Objects :

Python Core Objects

Defining Built-in Functions


Boolean Object and None Object

Tuple Object and Operations

Dictionary Object and Operations

Types of Variables – Dictionary

Comparison of Variables

Operators and Logical Operators

Dictionary Methods and Manipulations

Data Structures and Data Processing

Arithmetic Operations on Numeric Values

Operators and Keywords for Sequences

Conditional Statements and Loops :

Understanding Conditional Statements

Break Statements and Continue Statements

Loops in Python

Using Indentations for defining if & else block

How to Control Loops?

Sequence and Iterable Objects

UDF Functions :

Objectives of Functions

Types of Functions

Creating UDF Functions

Function Parameters

Unnamed and Named Parameters

Creating and Calling Functions

Python user Defined Functions

Python packages Functions

Anonymous Lambda Function

Understanding String Object Functions

List and Tuple Object Functions

Studying Dictionary Object Functions

Python Packages and File Handling :

Defining Python Inbuilt Modules

Studying Types of Modules

Understanding Pythonpath

os, sys, time, random, datetime, zip modules

Creating Python Packages

How to Create Python User Defined Modules?

init File and Package Initialization

What and How of File Handling with Python?

How to Process Text Files using Python?

Read/Write and Append File Object

Test Operations: os.path

Object-Oriented Programming in Python & Exception Handling :

Overview of Object Oriented Programming

Defining Classes, Objects, and Initializers

Attributes – Built-In Class

Module Aliases and reloading modules

Destroying Objects

Python Exceptions Handling

Data Hiding

Standard Exception Hierarchy

.. except…else

.. finally…clause

Creating Self-Exception Class

User-defined Exceptions

Methods – Instance, Class, Static, Private methods, and Inheritance

Error Debugging and Regular Expressions :

Debugging Errors – Unit Tests

Creating and Using the Skeleton

Project Skeleton

How to use pdb debugger?

Using Pycharm Debugger

Asserting Statement for Debugging

Using UnitTest Framework for Testing

Understanding Regular Expressions

Compile and Match, Match and Search

Search and Replace

Wildcard Characters

Match Function, Search Function, and the Comparision

Fundamentals of Database Interaction with Python :

How to Create a Database using SQLite 3?

Understanding CRUD Operations

Creating Database Connection

Python MySQL Database

How to Handle Database Errors?

Performing Transactions Access

What and How of Disconnecting Database?

What are DML and DDL Operations?

Operations: Create, Insert, Read, Update, Delet

Python and Machine Learning :

Machine Learning with Python

Defining Machine Learning

Implementation of Machine Learning


Supervised, Unsupervised Learning and Classification

Learning NumPy and Scipy

Learning – Supervised or Unsupervised

Defining Clustering Problem

Classification and k-Nearest Neighbours (kNN)

k-Means Clustering

Building, Testing, and Measuring the Performance of the Classifier

Python UNIT TEST Framework


Basic Test Structure

Running Tests Cases

Test Outcomes

Assert Statements-Types

Introduction to Test Fixtures

Introduction to Test Suites

Test Discovery with UNIT Test Framework

Python Nose Framework :

Python Nose Framework


Running nose

Nose fixtures


Nose assert_equals

Test discovery

Running unittests from nose

Running doctests from nose

Integration of Nose with HTML

Python Robot Framework :

Robot Framework-FrameWork


Test Libraries

Installation and Configuration of Robot Framework and Ride

Suite Test Setup and Teardown

Tags: Tags for individual Testcases, Force Tags for Suite Level

Reports & Logs – Creating reports with customized file names

Creating Reports with Specified Titles

Write Keywords in RF actually implemented in Python scripts

Python and Django: Web Development :

Web Development Django

Django Introduction

Installation and Setup

Introduction to Django Framework

Django Principles

Install and create virtualenv

Install Django and production ready setup

Django Project :

Creating A New project

Running the Development Server

Django Apps

URLs and Views

URL Mapping — emphasis on Python regex

HTTP protocol Fundamentals

Django Views — render/HttpResponse Method

Django Templates

Static Files — CSS, JavaScript and Images

Model, Template and View (MTV) Design Pattern

Django Models :

Django Model Classes — SQL Mapping

Field Types

Generating Databases

SQL Queries Database Commands

Django Admin Interface — superuser

Implement __str__ for your Model Classes

The Model API

SAVE and Delete


Python is an interpreted, high-level, general-purpose programming language.

Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant whitespace.

It provides constructs that enable clear programming on both small and large scales.

Python is a general purpose programming language.

Hence, you can use the programming language for developing both desktop and web applications.

Also, you can use Python for developing complex scientific and numeric applications.

Python is designed with features to facilitate data analysis and visualization.

While Python can be more user-friendly than Java, as it has a more intuitive coding style, both languages do have their unique advantages for developers and end users.

However, if you are just beginning your path towards a programming career, you might want to start by learning Python, as it is less complex.

The Definitive GuidePython is a powerful high-level, object-orientedprogramming language created by Guido van Rossum.

It has simple easy-to-use syntax, making it the perfect language for someone trying to learn computer programming for the first time.

You should download and install the latest version of Python. The current latest (as of Winter 2019) is Python 3.7.2.

Why should I use Python?

Python is a high-level, interpreted and general-purpose dynamic programming language that focuses on code readability.

The syntax in Python helps the programmers to do coding in fewer steps as compared to Java or C++. …

ThePython is widely used in bigger organizations because of its multiple programming paradigms.