PYTHON TRAINING

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Why choose JNtech Networks for PYTHON

PYTHON TRAINING COURSES

Python training from JNtech Networks will help you to become a professional programmer of Python. We are providing the training from basic to the advanced level in the Python training. We are having the trainers having more than 5 years of experience in the programming as well as frameworks. They are the industry expert, who knows, how to train students for the industry so that they will get a good job instantly after getting the training form the JNech Networks.
We will help you to work on the real-time and the live projects programmed using the python.

PYTHON Different Certifications

INTRODUCTION TO PYTHON

  • Why Python?
  • Python program comparison.
  • Advantages of Python
  • History of Python
  • Installing Python.
  • IDLE
  • How to execute a Python program using IDLE

PYTHON FUNDAMENTALS

  • Python Tokens,
  • Python Keywords,
  • Python Identifiers, Literals, Operators
  • Variables and Assignments
  • Input and Output in Python

DATA HANDLING

  • Data Types
  • Numbers
  • Strings
  • Lists
  • Tuples
  • Dictionary
  • Set
  • Frozenset
  • Bool
  • Mutable and Immutable
  • Types casting

STRING MANIPULATION

  • Introduction to Python String
  • Accessing Individual Elements
  • String Operators
  • String Slices
  • String Functions and Methods

 LIST MANIPULATION

  • Introduction to Python List
  • Creating List
  • Accessing List
  • Joining List
  • Replicating List
  • List Slicing

 TUPLES

  • Introduction to Tuple
  • Creating Tuples
  • Accessing Tuples
  • Joining Tuples
  • Replicating Tuples
  • Tuple Slicing

DICTIONARIES

  • Introduction to Dictionary
  • Accessing values in dictionaries
  • Working with dictionaries
  • Properties

 SET AND FROZENSET

  • Introduction to Set and Frozenset
  • Creating Set and Frozenset
  • Accessing and Joining
  • Replicating and Slicing

 OPERATORS

  • Arithmetic Operators
  • Relational Operators
  • Logical Operators
  • Membership Operators
  • Identity Operators
  • Bitwise Operators
  • Assignment Operators
  • Operators Precedence
  • Evaluating Expression

PROGRAM CONTROL FLOW

  • Conditional Statements
  • The if Statement
  • The if-else Statement
  • The if-elif Statement
  • Nested if Statements
  • Python Indentation
  • Looping and Iteration
  • The For Loop
  • The While Loop
  • Loop else Statement
  • Nested Loops
  • Break and Continue
  • The Range Function
  • Introduction to range()
  • Types of range() function
  • Use of range() function

INTRODUCTION TO FUNCTIONS

  • Built-In Functions
  • Introduction to Functions
  • Using a Functions
  • Python Function Types
  • Structure of Python Functions
  • g. – map, zip, reduce, filter, any, chr, ord, sorted, globals, locals, all, etc.
  • User Defined Functions
  • Structure of a Python Program
  • r.t. UDF
  • Types of Functions
  • Invoking UDF
  • Flow of Execution
  • Arguments and Parameters
  • Default Arguments, Named Arguments
  • Scope of Variables
  • Lambda function
  • Recursion Function
  • Use of recursion function

MODULES AND PACKAGES

  • Built-in Modules
  • Importing Modules in Python Programs
  • Working with Random Modules
  • g. – builtins, os, time, datetime, calendar, sys, etc.
  • User Defined Modules
  • Structure of Python Modules

FILE OPERATIONS

  • Text and Bytes files
  • Opening a file
  • Reading and Writing Files
  • Other File tools
  • MS Excel files
  • Introduction to MS Excel files

REGULAR EXPRESSIONS*

  • Match function
  • Search function
  • Grouping
  • Matching at Beginning or End
  • Match Objects
  • Flags

EXCEPTION HANDLING

  • Default Exception and Errors
  • Catching Exceptions
  • Raise an exception
  • … except statement
  • Raise, Assert, Finally blocks
  • User defined exception

CLASSES AND OBJECTS

  • Classes as User Defined Data Type
  • Objects as Instances of Classes
  • Creating Class and Objects
  • Creating Objects By Passing Values
  • Variables & Methods in a Class.

Training Modes

Instructor Led training/Online training

Classroom Training

On Demand Training

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