Title
Pandas Cookbook: Recipes For Scientific Computing, Time Series Analysis And Data Visualization Using Python
Delivery time: 8-12 business days (International)
Publisher'S Note: A New Second Edition, Updated Completely For Pandas 1.X With Additional Chapters, Has Now Been Published. This Edition From 2017 Is Outdated And Is Based On Pandas 0.20. Key Features Use The Power Of Pandas 0.20 To Solve Most Complex Scientific Computing Problems With Ease Leverage Fast, Robust Data Structures In Pandas 0.20 To Gain Useful Insights From Your Data Practical, Easy To Implement Recipes For Quick Solutions To Common Problems In Data Using Pandas 0.20 Book Descriptionthis Book Will Provide You With Unique, Idiomatic, And Fun Recipes For Both Fundamental And Advanced Data Manipulation Tasks With Pandas 0.20. Some Recipes Focus On Achieving A Deeper Understanding Of Basic Principles, Or Comparing And Contrasting Two Similar Operations. Other Recipes Will Dive Deep Into A Particular Dataset, Uncovering New And Unexpected Insights Along The Way.The Pandas Library Is Massive, And It'S Common For Frequent Users To Be Unaware Of Many Of Its More Impressive Features. The Official Pandas Documentation, While Thorough, Does Not Contain Many Useful Examples Of How To Piece Together Multiple Commands Like One Would Do During An Actual Analysis. This Book Guides You, As If You Were Looking Over The Shoulder Of An Expert, Through Practical Situations That You Are Highly Likely To Encounter.Many Advanced Recipes Combine Several Different Features Across The Pandas 0.20 Library To Generate Results. What You Will Learn Master The Fundamentals Of Pandas 0.20 To Quickly Begin Exploring Any Dataset Isolate Any Subset Of Data By Properly Selecting And Querying The Data Split Data Into Independent Groups Before Applying Aggregations And Transformations To Each Group Restructure Data Into Tidy Form To Make Data Analysis And Visualization Easier Prepare Realworld Messy Datasets For Machine Learning Combine And Merge Data From Different Sources Through Pandas Sqllike Operations Utilize Pandas Unparalleled Time Series Functionality Create Beautiful And Insightful Visualizations Through Pandas 0.20 Direct Hooks To Matplotlib And Seaborn
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.