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Here, you'll learn about two most powerful python functions : lambda and apply, The three pillars of functional programming.
Data visualization is the most important step in the life cycle of data science. we will learn how to perform data visualization with pandas.
Time series is a sequence or series of data points in which the time component is involved. Here, We will perform Time series analysis.
Book recommendation system recommends similar books to the reader based on his interest. Let us learn to build a book recommender system
Plotting is essentially one of the most important steps in any data science project. It helps in capturing trends of the dataset using matplotlib.
Nvidia Rapids is an open-source library for Running pandas on GPUs. Let's will explore Nvidia Rapids and see how the GPU is better
Pandas is a widely used Python library. It is used in multiple stages of data analytics. Here, we will see some functions used for data exploration.
Learn data extraction techniques using PyMuPDF & Python. Explore data cleaning, processing, & extracting information from unstructured PDFs.
Discover key data manipulation techniques using Pandas: clean, transform, and analyze datasets efficiently.
In this article, we are going to deep dive into 15 Pandas functions to replicate basic SQL Queries in Python that data scientists should know
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