Python Powering innovation with simplicity

Python Development

At Accurate Future, we harness the versatility of Python to build scalable, secure, and efficient applications. Known for its simplicity and readability, Python is ideal for everything from web development and data analysis to AI/ML and automation.

Core features of Python include:

Python Development Training Topics

• Introduction to Python

  • What is Python?

  • Installing Python and IDE Setup

  • Understanding Python’s Syntax

• Basic Concepts

  • Data Types and Variables

  • Input and Output Operations

  • Operators: Arithmetic, Logical, Relational

• Control Flow

  • Conditional Statements: if, elif, else

  • Loops: for, while

  • Loop Control: break, continue, pass

• Functions and Modules

  • Defining and Calling Functions

  • Parameters and Return Values

  • Lambda Functions

  • Importing and Using Modules

  • Creating Custom Modules

• Data Structures

  • Lists, Tuples, Sets, Dictionaries

  • List Comprehensions

  • Dictionary Comprehensions

• Object-Oriented Programming (OOP)

  • Classes and Objects

  • Constructors and Destructors

  • Inheritance and Polymorphism

  • Method Overloading and Overriding

• File Handling

  • Reading and Writing Files

  • File Operations: open, read, write, append

  • Working with CSV and JSON Files

• Error Handling

  • try, except, finally

  • Custom Exceptions

• Advanced Python

  • Decorators

  • Iterators and Generators

  • Context Managers (with Statement)

• Database Connectivity

  • Using sqlite3

  • Connecting to MySQL or PostgreSQL

  • Performing CRUD Operations

• Web Development

  • Basics of Flask/Django Frameworks

  • Creating APIs

  • Template Rendering with Jinja2

• Data Science with Python

  • Introduction to NumPy and Pandas

  • Data Visualization with Matplotlib and Seaborn

  • Basics of Machine Learning with Scikit-learn

• Working with Libraries

  • Requests for HTTP Requests

  • OpenPyXL for Excel Automation

  • Beautiful Soup for Web Scraping

• Testing and Debugging

  • Writing Unit Tests with unittest

  • Debugging with PDB

• Deployment

  • Packaging Python Applications

  • Hosting on Cloud Platforms (e.g., AWS, Heroku)