Nischal Baidarnischalbaidar.hashnode.dev·Oct 17, 2024Day 13 - Fetching Data from an API and Converting to a DataFrame in PythonAPIs provide dynamic data that can be easily fetched and transformed into a pandas DataFrame for analysis. Here's a simple guide on how to do it. 1. Fetching Data from an API Use the requests library to get data from an API. import requests response ...nischal_baidar
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 9, 2024Pandas for Data Analysis: A Comprehensive GuidePandas is a powerful and flexible library in Python for data manipulation and analysis. It is widely used in data science, machine learning, and statistical analysis due to its simple syntax and powerful functionalities. In this blog, we’ll dive deep...10 likesPythonPython
Mehul Kansalmehulkansal.hashnode.dev·Jun 3, 2024Week 3: Spark Transformations - Navigating Schema and Data Types 🧭Introduction Welcome back, data enthusiasts! This week, we'll unravel the intricacies of schema inference and enforcement, data type handling, creating and refining dataframes, and removing duplicates. Let's get started right away! Schema inference, ...32 readsdata-engineering
Mehul Kansalmehulkansal.hashnode.dev·May 27, 2024Week 2: Elevate your Spark Game - Exploring Higher Level APIs! 📈Introduction Hey there, data enthusiasts! This week, we will explore the power of Spark's higher level APIs - Dataframes and Spark SQL. Let's begin using Spark like a pro and unveil the enhanced data processing capabilities of this dynamic duo. Task ...data-engineering
SHREYAS GANDHIshreyas0607.hashnode.dev·Mar 25, 2024How to fetch data from APIWhat is API ? API stands for Application programming interface. API is like a messenger that allows different software applications to communicate with each other.It defines the methods and rules for how software components should interact, much like...APIs
commabotblog.grippybyte.com·Feb 25, 2024Converting CSV to DataFrame in PythonThe article is maintained by the team at commabot. To convert a CSV file to a DataFrame in Python, we can use the pandas library. Here's a step-by-step guide to doing this: Install Pandas: If you haven't already installed pandas, you can do so by run...Python
vijayvijay2023.hashnode.dev·Feb 1, 2024Unleashing the Power of Data Science with Python and PandasWelcome to the dynamic realm of Data Science, where insights are extracted, patterns are uncovered, and decisions are driven by the language of data. In this blog, we embark on a journey through the fundamentals of Data Science, with a particular foc...Data Science
padmanabha reddypadmanabha.hashnode.dev·Jun 27, 2023Apache Spark - Structured APIApache Spark's Structured API is a high-level programming interface that enables users to manipulate and analyze structured and semi-structured data in a distributed computing environment. It is built on top of the Spark Core engine, providing a user...48 reads#apache-spark
Renjitha Krenjithak.hashnode.dev·May 13, 2023Demystifying Big Data Analytics with Apache Spark : Part-3When it comes to dealing with mountains of data, Apache Spark has emerged as a powerful tool for processing and analyzing large-scale datasets. But what makes Spark even more appealing to many data professionals is its integration with good old, Stru...1 like·80 readsbig data
Pius Mutumamutuma.hashnode.dev·Apr 8, 2023Merging DataFrames in Pandas: Techniques and Best PracticesMerging multiple data sources is a common task in data analysis and processing, and the Pandas library provides a powerful set of tools for performing this operation in Python. The ability to combine data from different sources allows us to gain insi...Data Science
