Python Training

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Python training is for the professionals from diversified domains say web development, Big Data, embedded systems, automation testing, and scripting. Python, is an open-source and powerful dynamic programming language used in variety of applications.

Python training course curriculum covers topics including python programming basics, data types and creating variables. The knowledge is imparted to understand the use of operators, expressions, and control statements for managing the flow of data. The learning curve encompasses advance topics say functions, modules, file operations, and regular expressions. Moreover, participants will also learn about the features unique to Python such as tuples, and output formatting. Training is delivered over Python Integrated Development Environment (IDLE) for writing and running the scripts.

Upon the completion of this training, you will be able to:

  • Develop, debug, and build Python programs
  • Implement Python programming language basics on the given scenarios
  • Use functions to simplify the task
  • Create your own and also Import modules from the Python Standard Library
  • Use data structures
  • Write code for input-output data handling
  • Use regular expressions to search files and directories.
Target audience
  • Programmers
  • Software developers/engineers
  • Web Masters
Prerequisites

Candidates with working experience on any programming language and strong interest in exploring different programming languages can undergo this training.

Core Python

1. An Introduction to Python

  • Introductory Remarks about Python
  • A Brief History of Python
  • How python is differ from other languages
  • Python Versions
  • Installing Python
  • IDLE
  • Getting Help
  • How to execute Python program
  • Writing your first program

2. Python Basics

  • Python keywords and Identifiers
  • Python statements
  • Python indentation
  • Comments in python
  • command line arguments
  • Getting user input
  • Exercise

3. Variables and data types                         

  • Introduction
  • Variables
  • Data types
  • Numbers
  • Strings
  • Lists, tuples & Dictionary
  • Exercise

4. Decision making & Loops            

  • Introduction
  • Control Flow and Syntax
  • The if Statement
  • Python Operators
  • The while Loop
  • break and continue
  • The for Loop
  • Pass statement
  • Exercise

5.         Functions                                                     

  • Introduction
  • Calling a function
  • Function arguments
  • Built in functions
  • Scope of variables
  • Decorators
  • Passing Functions to a Function
  • Lambda
  • Closures
  • Exercise

6.         Modules and Packages                             

  • Modules
  • Importing module
  • Standard Module - sys
  • Standard Module - OS
  • The dir Function
  • Packages
  • Exercise

7.         Exception Handling                                   

  • Errors
  • Run Time Errors
  • Handling IO Exceptions
  • Try.... except statement
  • raise
  • assert
  • Exercise

8.         Files and Directories                                 

  • Introduction
  • Writing Data to a File
  • Reading Data From a File
  • Additional File Methods
  • Working with files
  • Working with Directories
  • The pickle Module
  • Working with Docx and Xl files

 

9.         ExerciseClasses & Objects                      

  • Introduction classes and objects
  • Breaf description of OOPs concept
  • Creating Classes
  • Instance Methods
  • Special class method
  • Inheritance
  • Method overriding
  • Data hiding
  • Exercise

10        Regular Expressions                                 

  • Introduction
  • Match function
  • Search function
  • Grouping
  • Matching at Beginning or End
  • Match Objects
  • Flags
  • Exercise

11.       Socket/Network programming                          

  • What are sockets?
  • Creating sockets
  • Server-client socket methods
  • Connecting client server
  • client-server chatting program
  • Exercise
  • Project-Client Server Chatting application
  • Sending File over network

Python Advanced + Django Framework

1.         Essential basics                                                      

  • Iterator
  • Generator
  • List Comprehensions
  • Set Comprehensions
  • Dictionary Comprehensions

2.         Database Programming                                       

  • Create database
  • Create table
  • Insert,update & delete query         
  • Where Clause
  • AND & OR Clause
  • Order By
  • Working over database using Python

3.         Sending Mail                                                           

  • Introduction smtp & pop protocol
  • Smtplib usage
  • Email package
  • Sending mail script
  • Sending attachments

4.         GUI Programming using PyQt framework     

  • Introduction
  • Hello World
  • Major classes
  • Using QtDesigner
  • Layout management
  • Widgets
  • Qdialog Class
  • QmessageBox
  • Drag and Drop
  • Database Handling
  • Introduction to WxPython, TkInter

 

Django Framework

1.         INTRODUCTION                                                              

  • What is django..?
  • MVC pattern
  • ORMs(Queryset)

2.         Setting up django on windows/Linux                             

  • Installing django
  • Creating virtuaEnvironment
  • Set up database connection
  • Creating new project

3.         Django models                                                                    

  • Define models
  • Setting up database access
  • Creating django apps
  • Defining modefields
  • Creating a model
  • How to create tables for models in Database
  • Adding ModeString Representations
  • Inserting & updating Data
  • Filtering Data
  • Ordering Data
  • Slicing Data
  • Deleting Objects

4.         Django views                                                                                                                      

  • About view function
  • HttpRequest & HttpResponse
  • How to create views..?

5          Configure Urpattern                                                         

  • About URpattern
  • How Django processes a request..?

6.         Templates in Django                                                         

  • Define Template
  • Creating Template objects
  • Templates tags
  • Templates filter
  • Rendering of templates

           
7.         Django Forms                                                                     

  • Htmlforms
  • GET & POST methods
  • Form fields in django
  • Building a form in Django
  • Placing form instance into the templates context

8.         Django admin interface                                                   

  • Enabling admin interface
  • Creating admin user

9.         Applying bootstrap in Django                                        

  • Overview
  • Layout Components
  • Demo             

10        How to run django project on Apache                          

  • Introduction to Apache
  • publish django project on apache
Python is a powerful interactive and object-oriented programming language. It is used in a wide variety of applications.

Python is supported by majorly all operating systems say UNIX, Mac, Windows, and OS/2. It is distributed under an open-source license.
Python is a high-level general-purpose programming language that can be used in providing solutions to a variety of problems.

Python is one of the prime members of ‘P’ language family, python, PHP, PERL; used in web development.
Python is a good language to start a programming career and also a strong language for developing very large and complex applications and frameworks.

After learning Python, you can contribute in the development of following:
  • Web Development (e.g. CGI scripts, Content Management Systems)
  • Data Analysis
  • Database Access
  • Scientific and Numeric Computing
  • Games and 3D Graphics
  • Software Development
  • Desktop GUIs
  • Low Level Network Programming
Learning Python can secure your career as a developer with constantly updating yourself with the latest updates in the software development industry. Python is a better designed language and is considered better than many similar languages. So, you can hope to go a long way with Python.
Google uses Python intensively. The teams there are involved in the development of the language itself or many open source projects in Python.

Moreover, this language is widely used by the scientific community.
Python is a good language to start learning programming fundamentals. Its simple syntax structure and a large standard library make Python a good choice for the aspirants focusing on developing programming skills.
Being an open source language, there is no certification body for Python. However, on the successful completion of the training, you will get a course completion certificate from Multisoft Systems.

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