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 :
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
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
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
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
Python Exceptions Handling
Standard Exception Hierarchy
Creating Self-Exception Class
Methods – Instance, Class, Static, Private methods, and Inheritance
Error Debugging and Regular Expressions :
Debugging Errors – Unit Tests
Creating and Using the 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
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)
Building, Testing, and Measuring the Performance of the Classifier
Python UNIT TEST Framework
UNIT TEST Framework-PYTHON
Basic Test Structure
Running Tests Cases
Introduction to Test Fixtures
Introduction to Test Suites
Test Discovery with UNIT Test Framework
Python Nose Framework :
Python Nose Framework
Running unittests from nose
Running doctests from nose
Integration of Nose with HTML
Python Robot Framework :
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
Installation and Setup
Introduction to Django Framework
Install and create virtualenv
Install Django and production ready setup
Django Project :
Creating A New project
Running the Development Server
URLs and Views
URL Mapping — emphasis on Python regex
HTTP protocol Fundamentals
Django Views — render/HttpResponse Method
Model, Template and View (MTV) Design Pattern
Django Models :
Django Model Classes — SQL Mapping
Manage.py 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 Guide. Python 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.