Python Programming Inside Out A Total Reference




Python Online Certification


Freshers and Career Changers


Online and Offline Classes


Week Days and Week Ends

Duration :

Fast Track and Regular 60 Days

Python Objectives

•How to create a Python Project.
•Explore how to use existing features in Python.Learn Python from scratch. Code like a PRO
•How to Make and design Web apps Using Python.
•You will know how to design Python from scratch.
•Start learning from this excellent course on Python programming!
•Learn the fundamentals of Python and get trained on analyzing data
•Understand Python and how to use to build web applications on to Python.
•Learn the fundamentals of the Python using both a theoretical and practical approach

python programming inside out a total reference Course Features

•Most comprehensive Industrry curriculum
•Course has been framed by Industry experts
•Flexible batch timings – Weekend & weekdays.
•Best Opportunity To Both Learn And Work From Home
•Indutry oriented training with corporate casestudies
•We provide you with your recorded session for further Reference
•Live project based on any of the selected use cases, involving implementation of the concepts
•Lifetime access to our 24×7 online support team who will resolve all your technical queries, through ticket based tracking system.

Who are eligible for Python

•.Net Developer, SilverLight, MVC3, Entity Framework 4, WCF, SQL/PLSQL, c#, SQL Server 2008, HTML5, .Net
•Java Developer, Mainframes Developer, Sap Consultant, Qa, Network Operations, C++ Developer, Wintel Admin
•java, .net, php, Software Testing, Automation Testing, oracle, sap, msbi, tableau, networking, Linux Administration, storage, full stack developer, devops
•Security Associate, Security Monitor, Security Analyst, senior security operations analyst, Software Engineer, Software Developer, Java Developer, DevopsSoftware Development, .net, java,, Sql Server, database, Software Testing, javascript, Agile Methodology, Cloud Computing, html, application


General Introduction to Python. History and main features. Python Oops concepts
•Python Data Types : Numbers, Lists, Tuples, Strings, Set, Dictionary etc.
•Python List. Creating a List. Built-in List methods. Slicing Operator.
•Python Lists are mutable in the sense that the items in a list can be changed.
•Basic Tuple Operations. Looping through a tuple using for loop.
•Tuple operations like +, * , in etc. Accessing values in Strings , dictionary .
•Python Dictionary. Examples from dictionary. The key-value pair concept.
•Python Dictionary. Properties pf python dictionary.Creating a dictionary.
•Python Decision Making. Python if-else construct.
•Decision making in Python.Python conditions and if conditions. Python if-else.
•Python for loop. The break and continue statement. The range() function.
•For loop in Python. break and continue statement. Condition at top, middle, etc.
•Python Functions. Syntax of function. The def keyword before function name.
•Functions in Python. The def keyword before the function name, and colon at end
•Types of Arguments: Required Arguments, Keyword, Default and variable length.
•Different types of arguments to be passed at the time of function calling.
•Concept of lambda function, Scope of variables, Python modules, Python Arrays.
•Lambda function, Scope of variables, Python Modules. Python Arrays vs Lists.
•Python Matrix. Negative Indexing . Python. List, Dictionary, set Comprehensions
•Matrix in Python. Comprehensions like List, Dictionary, set etc. File handling .
•File handling in Python. Reading file contents. Reading specific characters etc.
•Handling files in Python. Reading and writing to files. Oops concepts in Python.
•Oops concepts in Python. Garbage collection. Syntax of Class Inheritance etc.
•Object Oriented Programming Concepts. Garbage collection, Class Inheritance .
•Encapsulation in Python. No private keyword. Instead double / single underscores
•Concept of Encapsulation. Since no private keyword, single / double underscores.
•Polymorphism in Python. Polymorphism with Inheritance . Method overriding .
•Python Polymorphism. Polymorphism in the Inheritance scenario. Example programs.
•Database Application in Python. Installing MySQL and the driver mysql-connector.
•How to write database access applications using MySQL server. mysql-connector.
•Exception Handling in Python. Writing various database access applications.
•Exceptions and Assertions in Python. Writing various database access application
•Python Exceptions and Assertions continued. Raising Exceptions. Arithmetic error
•Python Exceptions continued. Raising an error.Index Error, Import Error, etc.
•Network Programming in Python. Python Socket Programming.Python Socket Module.
•Python Network programming. Socket programming in Python. Client Server program
•Multi threaded Programming in Python.Threads an overview. kernel and user thread
•Python multi threading programming.kernel and user thread. The threading module.
•Python XML Processing. Simple API for XML (SAX) and Document Object Model (DOM)
•XML processing in Python. SAX and DOM. GUI programming using the Tkinter package
•GUI programming in Python using Tkinter package. Creating various GUI widgets .
•Tkinter package is widely used for creating GUI based applications in Python.
•Turtle Programming in Python. Drawing a line, a square ,a star etc. Iterators .
•Turtle Programming using Python’s module. Python Iterators explained.
•Python Generators. yield vs return statement. Generator syntax. def fn() yield.
•Generator functions in Python. yield vs return statement. Normal fn vs generator
•Python Closure. Closure Definition.Conditions to be a closure. Python Decorators
•Python Closures. Closure definition. Condition to be closure. Python Decorators
•Python Decorators. Concept that a function can return another function used .
•Decorators in Python. A decorator is a callable that returns a callable.