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    Description for "python online training from India hyd 100 realtime"

    Python hands-on Online Training, Job Support and Interview Support , Corporate training

    Python course covers Python programming language. This Python Course causes you to write and execute code in Python. Our content is a perfect thanks to begin, whether or not you re new to programming or a professional developer., etc. you may conjointly get an exposure to industry based mostly real-time projects in varied domains.

    FOR FREE DEMO contact :
    Email : [email protected]
    Phone/WhatsApp : +91-(850) 012-2107
    USA Number : 214-628-3894
    Gtalk : [email protected]
    Blog: https://best-online-it-training-institute.blogspot.com

    Pyth
    on Interview Queries and Answers, Recorded Video Sessions, Materials, Interviews,Assignments Will be given

    PYTHON COURSE Agenda
    (the course curriculum can be modified as per client requirements):

    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

     

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