Python with R Online Training, Job and Interview support, Corporate Training by hands-on experts


Python training covers Python high-level programing language. Get deeper information of the core Python language. This Python Course causes you to write and execute high-quality code in Python. Our content is a perfect way to begin, whether or not you’re unaccustomedprogramming or knowledgeable developer., etc. you may additionally get an exposure to industry based real-time comes in numerous domains.


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Python with R-programming Interview Q’s and A’s, Recorded Video Sessions, Materials, Interviews, Assignments provided

PYTHON COURSE OUTLINE
(the course content can be modified as per your requirements):



Core Python Contents
INTRODUCTION TO PYTHON
• Features of Python
• Python Virtual Machine (PVM)
• Frozen Binaries
• Memory Management in Python
• Garbage Collection in Python

Writing Our First Python Program
• Writing Our First Python Program
• Executing a Python Program
• Getting Help in Python
• Reopening the Python Program in IDLE

Datatypes in Python
• Comments in Python
• Docstrings
• How Python Sees Variables
• Datatypes in Python
• Built-in datatypes
• The None Type
• bool Datatype
• Sequences in Python
• Sets
• Literals in Python
• Determining the Datatype of a Variable
• Characters in Python
• User-defined Datatypes
• Constants in Python
• Identifiers and Reserved words
• Naming Conventions in Python

Operators in Python
• Arithmetic Operators
• Using Python Interpreter as Calculator
• Assignment Operators
• Unary minus Operator
• Relational Operators
• Logical Operators
• Boolean Operators
• Membership Operators
• Identity Operators
• Operator Precedence and Associativity
• Mathematical Functions

Input and Output
• Output statements
• Various formats of The print()
• Input Statements
• Command Line Arguments

Control Statements
• If Statement
• If … else Statement
• If … elif … else Statement
• While Loop
• For Loop
• Infinite Loops
• Nested Loops
• Else Suite
• Break Statement
• Continue Statement
• Pass Statement
• Assert Statement
• Return Statement

Arrays in Python
• Creating an Array
• Importing the Array Module
• Indexing and Slicing on Arrays
• Types of Arrays
• Working with Arrays using numpy
• Creating Arrays using linspace
• Creating Arrays using logspace
• Creating Arrays using arange() 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
• Reshape() Method
• 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

Strings and Characters
• Creating Strings
• Length of a String
• Indexing in Strings
• Repeating the Strings
• Concatenation of Strings
• Checking Membership
• Comparing Strings
• Removing Spaces from a String
• Finding Sub Strings
• Strings are Immutable
• 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

Functions
• 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
• Default Arguments
• Variable Length Arguments
• Local and Global Variables
• The Global Keyword
• Passing a Group of Elements to a Function
• Recursive Functions
• 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
• 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
• Nested Lists
• List Comprehensions
• Tuples
• Creating Tuples
• Accessing the Tuple Elements
• Basic Operations on Tuples
• Functions to Process Tuples
• Nested Tuples

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
• Ordered Dictionaries


Advanced Python Contents

Introduction to Oops
• Problems in Procedure Oriented Approach
• Features of Object Oriented Programming System (OOPS)
• Classes and Objects
• Encapsulation
• Abstraction
• Inheritance
• Polymorphism

Classes and Objects
• Self Variable
• Constructor
• Types of Variables
• Namespaces
• Types of Methods
• Passing Members of One Class to Another Class
• Inner Classes

Inheritance and Polymorphism
• Constructors in Inheritance
• Overriding Super Class Constructors and Methods
• Super() Method
• Types of Inheritance
• Method Resolution Order (MRO
• 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
• Exceptions
• Exception Handling
• Types of Exceptions
• The Except Block
• Assert Statement
• User-Defined Exceptions
• Logging the Exceptions

Files in Python
• Types of Files in Python
• Working with Text Files Containing Strings
• Knowing Whether a File Exists or Not
• Working with Binary Files
• Pickle in Python
• Seek() and tell() Methods
• Random Accessing of Binary Files
• Random Accessing of Binary Files using mmap
• Zipping and Unzipping Files
• Running Other Programs from Python Program

Regular Expressions in Python
• 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

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
• Differences between a Process and a Thread
• Concurrent Programming and GIL
• Uses of Threads
• Creating Threads in Python
• Thread Class Methods
• Single Tasking using a Thread
• Multitasking using Multiple Threads
• Thread Synchronization
• 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
• Label Widget
• Message Widget
• Text Widget
• Scrollbar Widget
• Checkbutton Widget
• Radiobutton Widget
• Entry Widget
• Spinbox Widget
• Listbox Widget
• Menu Widget

Python’s Database Connectivity
• Advantages of a DBMS over Files
• Working with MySQL Database
• Operations on rows of a Table
• Creating Database Tables through Python
• Working with Oracle Database in Python
• Stored Procedures