Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Hands-On Python and Pandas: Practical Data Science with Python

    Posted By: TiranaDok
    Hands-On Python and Pandas: Practical Data Science with Python

    Hands-On Python and Pandas: Practical Data Science with Python by Sarful Hassan
    English | January 20, 2025 | ISBN: N/A | ASIN: B0DTKR9LDS | 356 pages | EPUB | 1.65 Mb

    Unlock the power of Python and Pandas for data science!
    "Hands-On Python and Pandas: Practical Data Science with Python" is the ultimate guide for learning to manipulate, analyze, and visualize data with Python. Whether you’re a beginner or already familiar with programming, this book provides clear, step-by-step instructions for mastering the Pandas library and applying it to real-world data science projects.
    You will learn how to:
    • Master Data Manipulation: Handle missing data, perform sorting, filtering, and aggregating with ease.
    • Transform and Clean Data: Use powerful tools to clean, reshape, and combine data sets efficiently.
    • Visualize Your Data: Create compelling charts and graphs using Matplotlib and Seaborn to communicate insights clearly.
    • Work with Real-World Projects: Apply your skills to practical data science tasks like sales analysis, customer segmentation, time-series forecasting, and more.
    • Optimize Performance: Learn tips and techniques to work with large datasets, speed up processing, and improve overall performance.
    This comprehensive guide covers essential concepts such as data cleaning, transformation, and analysis with Pandas. You will also explore advanced topics like data visualization, performance optimization, and real-world applications, equipping you with the skills necessary for tackling any data science challenge.
    Perfect for:
    • Beginners to intermediate Python users
    • Data scientists and analysts looking to expand their skills
    • Anyone interested in working with data for analysis or visualization