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Python Training

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Python training in Hyderabad Do you want to learn Python programming language? Are you searching for a Python training institute in Hyderabad? Inspanner academy provides you the best Python training in Hyderabad.

Our training program helps you get extensive knowledge understanding about JSTL, custom tags and expression language to minimize java code in web pages. We emphasize practical learning rather than imparting theoretical knowledge to our students.

About Python Course

What is Python?

Python is a high-level, interpreted programming language that was created in the late 1980s by Guido van Rossum.

Why Python?

Python is reliable and has simple, easy to learn syntax which reduces the cost of program maintenance.

Advantages of Python.

It supports modules and packages, which encourages program modularity and code reuse.

The power of Python

Python 3.4.3 has improved drastically in Unicode support and other key features.

Third-Party Modules:

It contains numerous third-party modules which help in interacting with other programming languages.

Standard Library

It provides a large library which includes web services tools, internet protocols, string operations, and OS interfaces. It helps in reducing the length of the code.

Open Source

It is free to use and distribute for commercial purpose.

Easy to learn

It is reliable and simple to learn python programming language.

User-friendly

it is user-friendly and provides high-level data typing which reduces the length the code.

Key Features

Training from
Industrial Experts

Hands-on
PRACTICALS/PROJECT

100% Placement
Assistance

24 x 7
Expert Support

Certification
for Course

FREE
LIVE DEMO

PYTHON TRAINING COURSE CONTENT

Section 1: Introduction

What’s python?
Why do people use python?
Some quotable quotes
A python history lesson
Advocacy news
What’s python good for?
What’s python not good for?
The compulsory features list
Python portability
On apples and oranges
Summary: why python?

Section 2: Using the Interpreter

How Python Runs Programs
How You Run Programs
Configuration Details
Module Files: A First Look
The Idle Interface
Other Python Ides
Time To Start Coding
Lab Session 1

Section 3: Types and Operators

A First Pass
The ‘Big Picture’
Numbers
Dynamic Typing Interlude
Strings
Lists
Dictionaries
Tuples
General Object Properties
Summary: Python’s Type Hierarchies

Section 4: Basic Statements

General Syntax Concepts
Expressions
Print
If Selections
Python Syntax Rules
Documentation Sources Interlude
Truth Tests
While Loops
Break, Continue, Pass, And The Loop Else
For Loops
Comprehensions And Iterations
Loop Coding Techniques
Comprehensive Loop Examples
Basic Coding Gotchas
Preview: Program Unit Statements
Lab Session 3

Section 5: Functions

Function Basics
Scope Rules In Functions
More On “Global” (And “Nonlocal”)
More On “Return”
More On Argument Passing
Special Argument Matching Modes
Odds And Ends
Generator Expressions And Functions
Function Design Concepts
Functions Are Objects: Indirect Calls
Function Gotchas
Optional Case Study: Set Functions
Lab Session 4

Section 6: Modules

Module Basics
Module Files Are A Namespace
Name Qualification
Import Variants
Reloading Modules
Package Imports
Odds And Ends
Module Design Concepts
Modules Are Objects: Metaprograms
Module Gotchas
Optional Case Study: A Shared Stack Module
Lab Session 5

Section 7: Classes

Oop: The Big Picture
Class Basics
A More Realistic Example
Using The Class Statement
Using Class Methods
Customization Via Inheritance
Specializing Inherited Methods
Operator Overloading In Classes
Namespace Rules: The Whole Story
Oop Examples: Inheritance And Composition
Classes And Methods Are Objects
Odds And Ends
New Style Classes
Class Gotchas
Optional Case Study: A Set Class
Summary: Oop In Python
Lab Session 6

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Section 8: Exceptions

Exception Basics
First Examples
Exception Idioms
Exception Catching Modes
Class Exceptions
Exception Gotchas
Lab Session 7

Section 9: Built-in Tools Overview

The Secret Handshake
Debugging Options
Inspecting Name-Spaces
Dynamic Coding Tools
Timing And Profiling Python Programs
File Types And Packaging Options
Development Tools For Larger Projects
Summary: Python Tool-Set Layers
Lab Session 7 Continued

Section 10: System Interfaces

System Modules Overview
Running Shell Commands
Arguments, Streams, Shell Variables
File Tools
Directory Tools
Forking Processes
Thread Modules And Queues
The Subprocess And Multiprocessing Modules
Ipc Tools: Pipes, Sockets, Signals
Fork Versis Spawnv
Larger Examples
Lab Session 8

Section 11: GUI Programming

Python Gui Options
The Tkinter ‘Hello World’ Program
Adding Buttons, Frames, And Callbacks
Getting Input From A User
Assorted Tkinter Details
Building Guis By Subclassing Frames
Reusing Guis By Subclassing And Attaching
Advanced Widgets: Images, Grids, And More
Larger Examples
Tkinter Odds And Ends
Lab Session 8 Continued

Section 12: Databases and Persistence

Databases and Persistence
Object Persistence: Shelves
Storing Class Instances
Pickling Objects Without Shelves
Using Simple Dbm Files
Shelve Gotchas
Zodb Object-Oriented Database
Python Sql Database Api
Persistence Odds And Ends
Lab Session 9

Section 13: Text Processing

String Objects: Review
Splitting And Joining Strings
Regular Expressions
Parsing Languages
Regular Expressions
Lab Session 10

Section 14: Internet Scripting

Using Sockets In Python
The Ftp Module
Email Processing
Other Client-Side Tools
Building Web Sites With Python
Writing Server-Side Cgi Scripts
Jython: Python For Java Systems
Active Scripting And Com
Other Internet-Related Tools
Lab Session 10

Section 15: Advanced Topics

Unicode Text And Binary Data
Managed Attributes
Decorators
Metaclasses
Context Managers
Python 3.X Changes
Lab Session 13

Laboratory Exercises

Lab 1: Using The Interpreter
Lab 2: Types And Operators
Lab 3: Basic Statements
Lab 4: Functions
Lab 5: Modules
Lab 6: Classes
Lab 7: Exceptions And Built-In Tools
Lab 8: System Interfaces And Guis
Lab 9: Persistence
Lab 10: Text Processing And The Internet
Lab 11: Decorators And Metaclasses

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Queries You may have

What is the Python Course Duration ?

Our Best Python Course Duration is 40 to 50 hours. In this duration, we will give you more python programming examples. You will get various levels of Python assessments. You have to work on a real time Python Project.

After the Python Course Completion, What is My Level ?

After completion of your Python Training, You can develop any levels of Python projects professionally.

What About Placements Assistance ?

We give 100% placement assistance to you for your best career. The middle stage of your Python training conduct mock interviews. In the Mock Interviews, We will figure outs your Technical competence and where you need to Improve. So after the mock interview surely increase your technical skill and interview confident level

Will you help me for Interviews ?

In the middle of your Python training, we conduct three mock interviews. In the Mock Interviews, We will figure outs your Technical competence and where you need to Improve. So after the mock interview surely increase your technical skill and interview confident level. Also we will help you for Resume preparation and Interview presence.

Is there any prerequisites to start learning Python?

There are no prerequisites to start learning Python. The only prerequisite is your Interest. Python is very easy to learn.

Is there any certification available for Python?

Yes, You can easily clear the Python certification exam once you have completed Inspanner Academy Python training program.

Ask our Python Expert

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Job opportunities in Python?

Why Inspanner? Inspanner academy has been reviewed as the best Python training institution in Hyderabad and India. We follow one to one communication methods in our teachings to make sure our students understand every topic thoroughly and effectively. Our faculty have ample experience in the industry; hence they will mold you as per industry expectations are requirements. Post the training, we guide our students to get a job in the respective field. We nurture your programming ability to withstand the competition in the market.