Skip to main content

Python Code Basic

Part 1: Core Python Built-in Functions (Most Important ~70)


abs()       aiter()     all()       any()       anext()

ascii()     bin()       bool()      breakpoint() bytearray()

bytes()     callable()  chr()       classmethod() compile()

complex()   delattr()   dict()      dir()       divmod()

enumerate() eval()      exec()      filter()    float()

format()    frozenset() getattr()   globals()   hasattr()

hash()      help()      hex()       id()        input()

int()       isinstance() issubclass() iter()    len()

list()      locals()    map()       max()       memoryview()

min()       next()      object()    oct()       open()

ord()       pow()       print()     property()  range()

repr()      reversed()  round()     set()       setattr()

slice()     sorted()    staticmethod() str()    sum()

super()     tuple()     type()      vars()      zip()

__import__()


🔥 Part 2: String Methods 

(30+)


upper()     lower()     title()     capitalize()

strip()     lstrip()    rstrip()

replace()   find()      index()

count()     split()     join()

startswith() endswith()

isalpha()   isdigit()   isalnum()   isspace()

islower()   isupper()   istitle()

center()    ljust()     rjust()

zfill()     swapcase()

partition() rpartition()

splitlines()


🔥 Part 3: List Methods (10+)


append()    extend()    insert()

remove()    pop()       clear()

index()     count()

sort()      reverse()

copy()


🔥 Part 4: Dictionary Methods (10+)


keys()      values()    items()

get()       update()

pop()       popitem()

clear()

copy()

setdefault()


🔥 Part 5: Set Methods (15+)


add()       update()

remove()    discard()

pop()       clear()

union()     intersection()

difference() symmetric_difference()

issubset()  issuperset()

isdisjoint()

copy()

Comments

Post a Comment

Popular posts from this blog

Understanding AI: A Beginner’s Introduction

Artificial Intelligence (AI) is one of the most exciting and transformative technologies of our time. From voice assistants like Siri and Google Assistant to self-driving cars and medical diagnosis systems, AI is rapidly changing the way we live, work, and interact with technology. As someone who is passionate about technology, machine learning , and innovation, I believe AI is not just a trend—it is the future. In this first blog, I want to share a simple introduction to AI, why it matters, and why I am excited to explore this field further. What is Artificial Intelligence ? Artificial Intelligence refers to the ability of machines or computer systems to perform tasks that normally require human intelligence. These tasks can include: Learning from data Recognizing images and speech Understanding language Making decisions Solving problems In simple words, AI helps machines “think” and “act” in smart ways. Why is AI Important? AI is important because it can improve efficiency, reduce hu...
Post a Comment
Read more

Deep Learning Fundamentals: A Beginner’s Guide

Artificial Intelligence (AI) and Machine Learning (ML) have transformed the way we analyze data, automate tasks, and solve complex problems. At the heart of modern AI is Deep Learning (DL), a subset of ML that mimics the human brain to recognize patterns, make decisions, and learn from data. In this guide, we’ll explore deep learning fundamentals, including Machine Learning, Artificial Neural Networks (ANN), and Convolutional Neural Networks (CNN). By the end, you’ll understand the core concepts and how these technologies are applied in the real world. 1. What is Machine Learning? Machine Learning is the foundation of Deep Learning. It enables computers to learn from data without being explicitly programmed. Supervised Learning: Trains models with labeled data (e.g., predicting house prices). Unsupervised Learning: Finds patterns in unlabeled data (e.g., customer segmentation). Reinforcement Learning: Learns by trial and error using rewards or penalties (e.g., self-driving cars). Machi...
Post a Comment
Read more

Deep Learning for Beginner

Artificial Intelligence (AI) and Machine Learning (ML) have significantly changed the way we analyze data, automate processes, and solve complex real-world problems. One of the most powerful branches of modern AI is Deep Learning (DL), which has become a driving force behind many intelligent systems used today. Deep Learning is a specialized area of Machine Learning that uses neural networks inspired by the human brain to learn patterns from data. It is widely used in applications such as image recognition, speech processing, natural language understanding, healthcare diagnostics, and autonomous systems. In this blog, we will explore the fundamentals of Deep Learning, including its relationship with Machine Learning, the concept of Artificial Neural Networks (ANN), and the role of Convolutional Neural Networks (CNN) in computer vision. What is Machine Learning? Machine Learning is the foundation of Deep Learning. It is a branch of Artificial Intelligence that allows computers to learn ...
Post a Comment
Read more