Python is one of the most widely used programming languages. It’s getting a lot of popularity these days because of so many Python frameworks in IoT, Machine Learning, Deep Learning, and Artificial Intelligent space.
These Python Tutorials will help you in getting mastery over the Python Programming. The tips and tricks shared by us will enable you to write pythonic code with high performance, reusability, readability, and maintainability.
Your chatbot can’t answer questions about your company’s internal docs. Your AI assistant hallucinates facts instead of checking your knowledge base. Sound familiar? RAG (Retrieval Augmented Generation) solves this by connecting your LLM to actual documents, so it answers based…
Want to add ChatGPT, image generation, and AI capabilities to your Python apps? The OpenAI Python SDK makes this straightforward. In this guide, you’ll build AI-powered features—from chat interfaces to semantic search—using Python 3.13 and the latest SDK patterns. What…
List comprehension python provides a single-line mechanism to construct new lists by applying operations to each element in an existing iterable. The syntax consists of square brackets containing an expression, followed by a for clause that iterates through a source…
Python try except blocks prevent your programs from crashing when errors occur. The code above catches a division by zero error and handles it gracefully instead of terminating the program. This mechanism separates normal execution flow from error handling logic,…
The python sorted function returns a new list containing all elements from any iterable arranged in ascending order. Unlike the sort() method that modifies lists in place, sorted() creates a fresh list while preserving your original data structure. This distinction…
The python map function applies a transformation to every element in an iterable without writing explicit loops. You pass a function and one or more iterables, and map returns an iterator containing transformed values. Understanding how python map processes data…
The AND operator in Python evaluates multiple conditions and returns True only when all conditions evaluate to True. This logical operator forms the backbone of conditional logic across Python programs, from simple validation checks to complex decision trees. How the…
That code extracts email addresses from text using Python regex. The pattern looks cryptic at first, but each piece serves a specific purpose in matching the structure of an email address. Regular expressions give you a tiny language for describing…
Sets are Python’s built-in data structure for storing unique, unordered collections. They automatically eliminate duplicates and provide fast membership testing. If you’ve ever needed to remove duplicate entries from a list or check whether something exists in a collection without…
The range() function generates a sequence of numbers that you can iterate over. That’s it. Three parameters, one simple job. You give it boundaries, and it gives you integers within those boundaries. Most Python developers use range() every single day…
