Learn PySpark basics in 30 minutes! Minute 1–5: Create an account on Databricks community edition. Here’s the link: https://community.cloud.databricks.com/login.html You have to start a cluster(red icon selected below)before running a notebook; see below the screenshot. Minute 6–10: Create DataFrame There are several ways to create a dataframe in PySpark, here…

We will look at how to fine-tune pretrained models from huggingface. You can also watch my narration here: Data: The data we are going to use is called “sst2” and you can find it here — https://huggingface.co/datasets/glue/viewer/sst2/train As per reference 2, “The Stanford Sentiment Treebank consists of sentences from…

ChatGPT is an AI language model developed by OpenAI that has gained widespread popularity for its ability to generate human-like responses to a wide variety of questions and prompts. It is trained on a massive amount of text data, making it a powerful tool for natural language processing. …

One of the most useful features of Python is its built-in data structures. One such data structure is the collections.Counter module, which is used to count the occurrences of elements in a sequence. The collections.Counter is a subclass of the dictionary object, which takes an iterable as an argument and…

Why does this exist? It makes you write more pythonic code. When you use a regular tuple, we need to use indices to fetch tuple values which can be error-prone especially when you have multiple values in a tuple. Named tuple solves the issue by giving us the ability to…

There are 45 string methods and it’s not possible to remember all of them but we will look at new ways to think about them that will make…

An easy way to remember as well as understand dictionaries in Python. — Have you ever wondered how to remember all the dictionary methods? When it comes to Lists we have already solved that problem — Epacris — The List Methods in Python A new acronym to remember Python list methods.python.plainenglish.io Unlike Lists, when it comes to dictionaries we can’t get an easy acronym but we can make a sentence out of all the methods!

Part 2: Dynamic Programming, Binary Search, Linked Lists, Trees, and Graphs. — Note: This is a continuation of a series: https://python.plainenglish.io/top-python-interview-problems-part-i-a9e9f2521c08 1. Dynamic Programming Problem: Find the nth Fibonacci number. Fibonacci numbers start from 1and 1; after that, we add the previous two numbers to get the next number. …

Part 1: Arrays & Hash Tables, Heap, Two Pointer, Intervals, Linked List, Binary Search, Sliding Window Technique, Strings, Greedy Algorithms, and Dynamic Programming. — This article will be useful for those preparing for software engineering roles as well as machine learning engineer roles. At most companies we will have to clear a coding interview involving data structures and CS algorithms. Also, in this series of articles we will first cover the topics in breadth…