Course Curriculum of python

We believe that you can’t do well in any programming language until you have a
solid foundation.
We want that our students should have a full confidence in their programming
skills so we give them lots of examples and problems to practice.

Introduction to Python:
 Features of Python
 Execution of a Python Program
 Viewing the Byte Code
 Flavors of Python
 Python Virtual Machine(PVM)
 Frozen Binaries
 Memory Management in Python
 Garbage Collection in Python
 Comparison between C and Python
 Comparison between Java and Python
Writing our First Program
 Installing Python
 Writing our First Python Program
 Executing Python Program

 Using Python’s Command Line Window
 Using Python’s IDLE Graphics Window
 Running Directly from System Prompt

Datatypes in Python
 Comments in Python

 Single Line comment
 Multi Line comment

 Docstrings
 Datatypes in Python

 Built-in datatypes
 Sequences in Python
 Sets
 Literals in Python
Operators in Python
 Operator
 Arithmetic Operator
 Assignment Operator
 Unary Operator
 Relational Operators
 Logical Operators
 Boolean Operators
 Bitwise Operators
 Membership Operators
 Identity Operators
 Operator Precedence and Associativity
Input and Output
 Output statements

 The print() Statement
 The print(”string”) Statement
 The print(variables list) Statement
 The print(object) Statement
 The print(”string”, variables list) Statement
 The print(formatted string) Statement

 Input Statements
 Command Line Arguments
Control Statements
 The if Statement
 A Word on Indentation
 The if…..else Statement
 The if…..elif…..else Statement
 The while Loop

 The for Loop
 Infinite Loops
 Nested Loops
 The break and continue Statement
 The pass Statement
 The assert Statement
 The return Statement
 Array
 Advantages of Arrays
 Creating an Array
 Importing the Array Module
 Indexing and Slicing on Arrays
 Processing the Arrays
 Types of Arrays
 Working with Arrays using numpy
 Creating Arrays using array()
 Creating Arrays using linspace
 Creating Arrays using logspace
 Creating Arrays using arrange() Function
 Creating Arrays using zeros() and ones()Functions
 Mathematical operations on Arrays
 Comparing Arrays
 Aliasing the Arrays
 Viewing and Copying Arrays
 Slicing and Indexing in numpy Arrays
 Dimensions of Arrays
 Attributes of an Array
 The ndim Attribute
 The shape Attribute
 The size Attribute
 The itemsize Attribute
 The dtype Attribute
 The nbytes Attribute
 The reshape() Method
 The flatten() Method

 Working with Multi dimensional Arrays

 The array() Function
 The ones()and zeros() Functions
 The eye() Function
 The reshape() Function
 Indexing in Multi dimensional Arrays
 Slicing the Multi dimensional Arrays
 Matrices in numpy
 Getting Diagonal Elements of a Matrix
 Finding Maximum and Minimum Elements
 Finding Sum and Average of Elements
 Products of Elements
 Sorting the Matrix
 Transpose of a Matrix
 Random Numbers
Strings and Characters
Creating Strings
 Length of a String
 Indexing in Strings
 Slicing the Strings
 Repeating the Strings
 Concatenation of Strings
 Checking Membership
 Comparing Strings
 Removing Spaces from a String
 Finding Sub Strings
 Counting Substrings in a String
 Strings are immutable
 Replacing a String with another String
 Replacing a String with another String
 Splitting and Joining Strings
 Changing Case of a String
 Checking Starting and Ending of a String
 String Testing Methods
 Formatting the Strings
 Sorting Strings

 Searching in the Strings
 Finding Number of Characters and Words
 Inserting Sub String into a String
 Difference between a Function and a Method
 Defining a Function
 Calling a Function
 Returning Results from a Function
 Returning Multiple Values from a Function
 Functions are First Class Objects
 Pass by Object Reference
 Formal and Actual Arguments
 Positional Arguments
 Keyword Arguments
 Default Arguments
 Variable Length Arguments
 Local and Global Variables
 The Global Keyword
 Passing a Group of Elements to a Function
 Recursive Functions
 Anonymous Functions or Lambdas

 Using Lambdas with filter() Function
 Using Lambdas with map() Function
 Using Lambdas with reduce() Function

 Function Decorators
 Generators
 Structured Programming
 Creating our Own Modules in Python
 The Special Variable _name_
Lists and Tuples
 List
 Creating Lists using range() Function
 Updating the Elements of a List
 Concatenation of Two Lists

 Repetition of Lists
 Membership in Lists
 Aliasing and Cloning Lists
 Methods to process Lists
 Finding Biggest and Smallest Elements in a List
 Sorting the List Elements
 Number of Occurrences of an Element in a List
 Finding Common Elements in two Lists
 Storing Different Types of Data in a List
 Nested Lists
 Nested Lists as Matrices
 List Comprehensions
 Tuples
 Creating Tuples
 Accessing the Tuple Elements
 Basic Operations on Tuples
 Functions to process Tuples
 Nested Tuples
 Inserting Elements in a Tuple
 Modifying Elements of a Tuple
 Deleting Elements from a Tuple

 Operations on Dictionaries
 Dictionary Methods
 Using for Loop with Dictionaries
 Sorting the Elements of a Dictionary using Lambdas
 Converting Lists into Dictionary
 Converting Strings into Dictionary
 Passing Dictionaries to Functions
 Ordered Dictionaries

Introduction to OOPS
 Problems in Procedure Oriented Approach

 Specialty of Python Language
 Features of Objects Oriented Programming System(OOPS)

 Classes and Objects
 Encapsulation
 Abstraction
 Inheritance
 Polymorphism
Classes and Objects
 Creating a Class
 The Self Variable
 Constructor
 Types of Variables
 Namespaces
 Types of Methods

 Instance Methods
 Class Methods
 Static Methods

 Passing Members of One Class to Another Class
 Inner Classes
Inheritance and Polymorphism
 Constructors in Inheritance
 Overriding Super Class Constructors and Methods
 The super() Method
 Types of Inheritance
 Single Inheritance
 Multiple Inheritance
 Method Resolution Order (MRO
 Polymorphism
 Duck Typing Philosophy of Python
 Operator Overloading
 Method Overloading

 Method Overriding

Abstract Classes and Interfaces
 Abstract Method and Abstract Class
 Interfaces in Python
 Abstract Classes vs. Interfaces

 Errors in a Python Program
 Compile-Time Errors
 Runtime Errors
 Logical Errors

 Exceptions
 Exception Handling
 Types of Exceptions
 The Except Block
 The assert Statement
 User-Defined Exceptions
 Logging the Exceptions
Files in Python
 Files
 Types of Files in Python
 Opening a File
 Closing a File
 Working with Text Files Containing Strings
 Knowing Whether a File Exists or Not
 Working with Binary Files
 The with Statement
 Pickle in Python
 The seek() and tell() Methods

 Random Accessing of Binary Files
 Random Accessing of Binary Files using mmap
 Zipping and Unzipping Files
 Working with Directories
 Running Other Programs from Python Program
Regular Expressions in Python
 Regular Expressions
 Sequence Characters in Regular Expressions
 Quantifiers in Regular Expressions
 Special Characters in Regular Expressions
 Using Regular Expressions on Files
 Retrieving Information from a HTML File
Data Structures in Python
 Linked Lists
 Stacks
 Queues
 Deques
Date and Time
 The epoch
 Date and Time Now
 Combining Date and Time
 Formatting Dates and Times
 Finding Durations using “timedelta”
 Comparing Two Dates
 Sorting Dates
 Stopping Execution Temporarily
 Knowing the Time taken by a Program
 Working with Calendar Module

 Single Tasking
 Multitasking
 Differences between a Process and a Thread
 Concurrent Programming and GIL
 Uses of Threads
 Creating Threads in Python

 Creating a Thread without using a Class
 Creating a Thread by Creating a Sub Class to Thread Class
 Creating a Thread without Creating Sub Class to Thread Class

 Thread Class Methods
 Single Tasking using a Thread
 Multitasking using Multiple Threads
 Thread Synchronization
 Locks
 Semaphore
 Deadlock of Threads
 Avoiding Deadlocks in a Program
 Communication between Threads
 Thread Communication using nofity() and wait() Methods
 Thread Communication using a Queue
 Daemon Threads
Graphical User Interface
 GUI in Python
 The Root Window
 Fonts and Colors
 Working with Containers
 Canvas
 Frame
 Widgets
 Button Widget

 Arranging Widgets in the Frame
 Label Widget
 Message Widget
 Text Widget
 Scrollbar Widget
 Checkbutton Widget
 Radiobutton Widget
 Entry Widget
 Spinbox Widget
 Listbox Widget
 Menu Widget
Networking in Python
 Protocol

 TCP/IP Protocol
 User Datagram Protocol (UDP)

 Sockets
 Knowing IP Address
 Reading the Source Code of a Web Page
 Downloading a Web Page from Internet
 Downloading an Image from Internet
 A TCP/IP Server
 A TCP/IP Client
 A UDP Server
 A UDP Client
 File Server
 File Client
 Two-Way Communication between Server and Client
 Sending a Simple Mail

Python’s Database Connectivity

 Advantages of a DBMS over Files
 Types of Databases Used with Python
 Installation of MySQL Database Software
 Setting the Path to MySQL Server
 Verifying MySQL in the Windows Operating System
 Installing MySQL Connector
 Verifying the Connector Installation
 Working with MySQL Database
 Using MySQL from Python
 Retrieving All Rows from a Table
 Inserting Rows into a Table
 Deleting Rows from a Table
 Updating Rows in a Table
 Creating Database Tables through Python
 Installation of Oracle 11g
 Verifying Oracle Installation in Windows Operating System
 Installing Oracle Database Driver
 Verifying the Driver Installation
 Working with Oracle Database
 Using Oracle Database from Python
 Stored Procedures
Data Science Using Python
 Data Frame

 Creating Data Frame from an Excel Spreadsheet
 Creating Data Frame from .csv Files
 Creating Data Frame from a Python Dictionary
 Creating Data Frame from Python List of Tuples
 Operations on Data Frame

 Data Visualization
 Bar Graph
 Histogram

 Creating a Pie Chart
 Creating Line Graph

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Why to learn Python?

 Python is a technology which is one of the hot and in trend skill with
wide-ranging applications. Thats why jobs for Python engineers is
increasing day by day and is expected to only go up in coming years .
 Joining RedBush Technologies for Best Python Training will make
you future ready.
 Our Best Python Training conducted by industry experts will provide
you the right knowledge for a solid foundation .
 After doing Python Training you can build your career in the various
fields like Web Development using Django , Machine Learning with
Python, Data Science and Data Analytics with Python, Artificial
Intelligence and Deep Learning with Python, DevOps with Python and
Big Data with Python.
 Our Best Pythin training is ideal for B.Tech / M.Tech / MCA / BCA /
M.Sc / B.Sc students.
 We provide training as per student pace so even if a student who is
new to programming will become very confident in programming after
joining our best training institute for Python.

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Reasons which makes RedBush Technologies best Among all others for python training in Gurgoan:-

 In case if the candidate missed any class he/she can use video recordings of the
training sessions provided by us.
 All concepts are covered practically.
 We provide trainings in a batch but we give attention on individual level so that in
a batch all students learn to their best level.
 Our course is based on current industry standards.
 Training conducted on Weekdays / Weekends / Customized as per the
candidate requirements.
 Our Trainers are working professional having 12+ years of Industry experience.
Trainers use live projects during training sessions.
 Lab Facility with Wi-Fi access
 Free personality development classes which include Spoken Mock Job
interviews & Presentation skills
 Study material prepared by trainer themselves in the form of E-Books, Online
Videos, Certification Handbooks, and Certification Dumps and Interview
Questions along with Project Source material.
 Course Completion Certificate, once you’ve completed the course.
 Flexible Payment options such as Google Pay,Paytm, Cash, Credit Card, Debit
Card, and Net Banking.
 We arrange the interview calls to students.

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Digital Marketing

Digital Marketing Course In gurgoanWhat Is Digital Marketing?

In Simple Terms,Digital Marketing Means Driving More Customer Into The Business. Or, Digital Marketing Means Buying And selling Products Through Digital Technologies.

Digital Marketing Delivered Through Various Marketing Channels Such as Search Engine Optimization,Social Media Marketing,Search Engine Marketing,E-mail Marketing,Mobile Marketing or Websites.

Types Of Digital Marketing Channels:-

  1.  Search Engine Optimization.(SEO)
  2.  Social Media Marketing.(SMM)
  3.  Search Engine Marketing.(Google Adwords)
  4.  Content Marketing.
  5.  Pay-per-click Advertising.(PPC)
  6.  Online Reputation Management.(ORM)

    What Is Search Engine Optimization?

SEO Course In Gurgoan







SEO  Stands For Search Engine Optimization  it is process driving more traffic into         website with the help of organic search result on search engine.

  What Is  Social Media Marketing?

Social Media Marketing Means driving traffic in your website with the help of social media platforms  Such as Facebook,Instagram,Twitter,LinkedIn, Quora, Snapchat and  Many more.

With The Help Of Social Media Marketing We can create a brand awareness of any product or do personal branding of any person.

In This Era, Social Media Marketing Is Growing Fast. Most Trending Sector In Digital Marketing.

These are 5 Best social media channels use For Social Media Marketing:-

  1. Facebook.
  2. Instagram.
  3. Twitter.
  4. Linkedin.
  5. Pinterest

What is Google Adwords?Google adwords course in gurgoan

Google Adwords is the single most popular advertising platform in the world. It enables business to create ads that appears on Google search engine and other google Platforms like Youtube.You have pay  Google  for  every single click on your ads from the visitors.This is how Google makes money from the search.

What is Content Marketing?

Content Marketing is a marketing focused on creation and sharing online material  in various format(such as Videos,blogs,and social media post). It is use  to attract a clearly defined audience – with the objective of driving profitable customer action.

If you are reading this  is a content marketing.

What is ORM?

Digital Marketing , ORM  Course In Gurgoan

ORM stand for Online Reputation Management. It is very important part of any business.

It helps in  making a public opinion about a business and it’s product and services.In this Modern Era, more than 90 percent of people check the reviews of products before buying anything from a business.One  Negative  Comment can ruin your business or decrease your sale. So ORM plays a very important role in keeping your sales high.


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Job Scope in Selenium

There are many testing tools available in the market like QTP, SilkUI, Selenium etc.

But jobs for Selenium testing are increasing in the market day by day. Selenium blows all the other testing tools out of the market. Since applications delivered on the web are increasing, even the demand for tools testing web applications is increasing.

Why Selenium is better than other testing tools:

  • Selenium is an open source (i.e. you can download this tool for free) automation testing tool. We have QTP also for automation testing but you need to pay to HP guys if you want to use QTP.
  • It is used exclusively for web-based applications.QTP can work on windows but Selenium can be used exclusively for web-based applications.
  • You can work on multiple operating systems using Selenium. Selenium is the only tool which can work on MAC, Windows, Linux, Solaris.
  • Currently, it supports mobile as well. There is another tool called Appeium which is an extension to Selenium. Appeium provides support to IOS as well as Android.
  • You can write Selenium code in any of the below languages:
    • Java
    • C#
    • Ruby
    • Python
    • PHP
    • Perl

NOTE: If your application is built on one language, you may use some other language to automate it. Like if your application is developed in C# and to automate its testing you may use Java.


  • Selenium is the only tool which supports cross browsers.
    Selenium support below browsers:

    • Internet Explorer
    • Firefox
    • Chrome
    • Safari

Due to so many features (like multiple language support, multiple browser support, multiple OS support) provided by Selenium, it is so popular in the market.

Below is the Google trends image which shows why Selenium Testing is the most pursued skill.

As per the above graph, the only leader in the market is Selenium.

Look at the below graph to understand how the number of vacant jobs is continuously increasing.


In case you are interested to learn Selenium, then join Redbush Technologies. We are the best selenium training institute in Gurgaon.

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