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20 Hours

Course Price

$ 449.00

4.5 (23)


Course Content


What is Python?

  • Interpreted languages
  • Advantages and disadvantages
  • Downloading and installing
  • Which version of Python
  • Where to find documentation

Running Python Scripts

  • Structure of a Python script
  • Using the interpreter interactively
  • Running standalone scripts under Unix and Windows

Getting Started

  • Using variables
  • String types: normal, raw and Unicode
  • String operators and expressions
  • Math operators and expressions
  • Writing to the screen
  • Command line parameters
  • Reading from the keyboard

Flow Control

  • About flow control
  • Indenting is significant
  • The if and elif statements
  • while loops
  • Using lists
  • Using the for statement
  • The range() function

Sequence Data

  • list operations
  • list methods
  • Strings are special kinds of lists
  • tuples
  • sets
  • Dictionaries

Defining Functions

  • Syntax of function definition
  • Formal parameters
  • Global versus local variables
  • Passing parameters and returning values

Working with Files

  • Text file I/O overview
  • Opening a text file
  • Reading text files
  • Raw (binary) data
  • Using the pickle module
  • Writing to a text file

Dictionaries and Sets

  • Dictionary overview
  • Creating dictionaries
  • Dictionary functions
  • Fetching keys or values
  • Testing for existence of elements
  • Deleting elements
  • Errors and Exception Handling
  • Dealing with syntax errors
  • Exceptions
  • Handling exceptions with try/except
  • Cleaning up with finally

Using Modules

  • What is a module?
  • The import statement
  • Function aliases
  • Packages

Regular Expressions

  • RE Objects
  • Pattern matching
  • Parsing data
  • Subexpressions
  • Complex substitutions
  • RE tips and tricks

Highlights of the Standard Library

  • Working with the operating system
  • Grabbing web pages
  • Sending email
  • Using glob for filename wildcards
  • math and random
  • Accessing dates and times with datetime
  • Working with compressed files

An Introduction to Python Classes

  • About o-o programming
  • Defining classes
  • Constructors
  • Instance methods
  • Instance data
  • Class methods and data
  • Destructor’s

Trainer Profile

Interview Questions & Answer



Python framework

Frameworks make developers’ lives easier by offering them a structure for application development. Frameworks automate the implementation of common solutions, cutting development time and allowing developers to focus on application logic instead of routine elements.

In this article, we are share a list of the top twelve Python web frameworks that will be useful on your way to becoming a professional backend developer and improving your existing skill set.

Why Python frameworks? Stack Overflow has recently released the results of their annual developer survey for 2019, which declared Python the fastest-growing major programming language.

By far, the most popular Python frameworks are Django and Flask. But that doesn’t mean you should discount the potential of other frameworks. Each framework possesses features that could be a perfect match for your web project.

Things to consider

First, When deciding which framework to use, look at the size and complexity of your project. If what you’re looking to develop is a large system packed with features and requirements, a full-stack framework might be the right choice. If your app is on the smaller and simpler side, you should probably consider a microframework.

Second, you need to check if the framework you’re considering can scale vertically and horizontally. This is a must for projects that are to run on several servers, handle huge amounts of traffic, and support the addition of new features to enhance functionality.

Once you’ve done with choosing a framework, contact a team of developers and ask them for information about the estimated cost to develop your app.

A final decision, though, should come from your own understanding of your project and the tasks you want to simplify.

However, frameworks can also stand in the way of development. When choosing a full-stack framework, you’re often signing up for a set of limitations. Of course, you can find ways to work around them, but be careful you don’t spend more time fighting for your own freedom than you would have writing an app in pure Python.

Full-stack frameworks

A full-stack framework or we can say an enterprise framework is an all-in-one solution with libraries configured to work seamlessly together. It supports the development of backend services, frontend interfaces, and databases. A full-stack framework provides anything a developer requires for building an application. Python offers more than one full-stack framework.






A microframework also known as minimalistic web application framework, lacks most of the functionality of a full-fledged framework. For example a web template engine, authentication functionality, accounts, authorization, input validation, and input sanitation. A microframework attempts to provide only the component set required for building an application. It may also focus on providing the necessary functionality for one particular spher







Asynchronous frameworks

An asynchronous framework is a relatively recent type of Python framework. It’s a microframework which enables developers to handle a large set of concurrent connections. Asynchronous frameworks use non-blocking sockets and feed on Python’s asyncio library.






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