Python Programming

Placement oriented Online and Classroom training course in Python
Python Course In Gurgoan - RedBush Technologies

Python Programming


Duration : 20 HRS

Contents:
Download Python Course Content Here

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Overview:

Python training in Gurgaon, delivered by RedBush Technologies is the best training in Gurgaon. Python is a very popular open-source programming language. It is dynamic, flexible and easy to learn and is very user-friendly. The libraries of python are powerful enough for analytics of large data and manipulation. Previously, Python was highly used for scientific and quantitative purposes like finance, physics, and signal processing. Python is one of the fastest growing language.There are numerous reasons why you should be planning a career in Python. Python is a high level programming language which is very commonly used in almost all IT companies. The major companies making use of Python include: Google, Yahoo! NASA, CERN etc… RedBush Technologies provides the best Python Training in Gurugram with attached course curriculum. We try to provide as much examples as we can, so that students can get 100% practical training.


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.

Reasons which makes RedBush Technologies best Python Training Institute in Gurgaon:

• 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.

Prerequisites:

The audience for this course is MCA,BCA,B.Sc(IT),M.Sc(IT),B.Sc,B.Tech B.E(Any Branch),O Level, A Level Etc.

Trainer Profile:

Sandhya Nowal is a Certified professional.She is having 12+ years of experience in IT industry.She is having more than 10+ years of training experience so she can impart trainig as per the need of student.She has worked with companies like HCL,Airtel etc.

Curriculum

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:
• 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
Arrays
• 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
Functions
• 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

Dictionaries
• 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

Exceptions
• 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
Threads
• 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
• URL
• 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
• DBMS
• 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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