BEST PYTHON DEVELOPMENT TRAINING IN NAGPUR

Python is a widely used general-purpose, high-level programming language. Python is an open-source, free programming language and environment for statistical computing, data analysis, and graphics.

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Python Training course overview

Learn Python programming from Python developers. Python is an open-source general-purpose interpreted, interactive, object-oriented, and high-level programming language. Python is becoming commonly used by data scientists, statisticians, analysts who need to make sense of data. Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis.

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Prerequisites for Python course

It is not necessary to have knowledge of any programming language before you start this Python course but you must have some practical experience of any other programming language. just you aware about Prior scripting experience or knowledge of fundamental programming concepts is the must.

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Training from professional Python developers

Appzmine developer has been implementing professional Python solutions across a range of applications for many years. Those consultants write and teach our Python training courses, so their experience directly informs course content.

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Real-time Practice and Projects

Our Python is designed to get you started in Web app Development. We work on industry related projects in this Python and machine learning These projects help you create your Python and machine learning portfolio.

Python Training Course Content

Introduction to Python
  • Origin and Goals of Python
  • Overview of Python Features
  • Getting and Installing Python
  • Accessing Python Documentation: Python Enhancement Proposals (PEP)
  • Python’s Strengths
  • Using Python with Other Programming Languages

 

Language Fundamentals
  • Python’s Lexical Analyzer
  • Using Whitespace to Structure Programs
  • Identifiers and Keywords
  • Python’s Execution Model
  • Python’s Data Model
  • Creating and Using Variables
Expressions
  • Unary and Binary Arithmetic Operations
  • Comparison and Boolean Operations
  • Conditional Expressions
  • Lambda Expressions
  • Order of Operations and Operator Evaluation
  • Expression Lists
  • Assignment Operations
Using the String Object
  • Using ASCII and Unicode Strings
  • Manipulating Strings with String Methods
  • Using the format() Function to Format Strings
  • Using Escape Sequences
  • Working with Raw Strings

 

Arrays, Collections and Dictionaries
  • Sequenced Data Structures
    • Arrays
    • Collections
    • Dictionaries
  • Creating and Accessing Lists
  • Manipulating Lists
  • Creating and Accessing Tuples
  • Understanding the Differences Between Lists and Tuples
  • Using Dictionaries to Create Data Records
  • Manipulating Dictionaries Using Dictionary Methods
  • Creating Sets
  • Performing Set Operations
    • Union
    • Intersect
    • Difference
  • Differences Between Sets and Dictionaries
  • Using Generators to Return Iterators
Object Oriented Programming Concepts
  • The Object-Oriented Programming Paradigm
  • Encapsulating Information
  • Classes vs. Instances of Objects
  • Built-in Class Attributes
  • Implementing Class Inheritance
  • Using Objects in Code
Regular Expressions
  • Regular Expression Syntax
  • Using Regular Expressions in Python
  • Altering Regular Expression Processing with Regular Expression Modifiers
  • Using Regular Expression Operators
  • Scanning Through Strings Using the search() and match() Methods
  • Creating Reusable Patterns by Using the compile() Method
Data Management
  • Embedding SQLite Databases in Applications
  • Best Practices for Data Management
  • Storing Data in Local Databases
  • Discussing and Understanding the DB API
  • Understanding and Using Common SQL Statements
  • Connecting to an SQLite Database
  • Using Cursors to interact with Data from a Database
  • Implementing Error Handling with Database Connections
Using Python
  • Executing Python Programs from the Command Line
  • Python Command Line Options
  • Environment Variables that Influence Python
  • Creating Python GUI Applications
    • Standalone vs. Web-Enabled Interfaces
  • The Python Standard Library

 

Flow Control Constructs
  • if/elif/else Statements
  • Creating Loops with while and for
  • Understanding Iterators
  • Returning Values with return Statements
  • Loop Modification with break and continue
  • Returning Generator Iterators with the yield Statement
  • Retrieving Iterators with next()

 

Exception Handling
  • Types of Python Exceptions
  • Handling Exceptions with try/except/finally
  • Triggering Exceptions with raise
  • Defining New Exception Types
  • Implementing Exception Handling in Functions, Methods, and Classes
  • Working with the Regular Expression Error Exception
Organizing Code
  • Defining Functions
  • Calling Functions
  • Creating Anonymous Functions
  • Altering Function Functionality with Decorator Functions
  • Creating Classes with the class Statement
  • Creating Objects as Class Instances
  • Using Preexisting Classes as the Basis of a New Class
  • Using Modules to Group Related Functions, Classes and Variables
  • Locating and Importing Modules
  • Using Packages to Group Modules Together
Working with Arguments
  • Passing Arguments to Functions by Reference and by Value
  • Defining Functions with Required Arguments
  • Defining Functions with Default Arguments
  • Defining Flexible Functions that Take Variable Length Arguments
I/O Handling
  • Sending Output to STDOUT Using the print() Method
  • Reading Input with the input() Method
  • Creating File Objects with the open() Method
  • Controlling File Access Modes
  • Working with File Object Attributes
  • Closing File Objects with the close() Method
  • Reading and Writing to File Objects with read() and write()
  • Using File Processing Functions from the OS Module

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