--- product_id: 190647603 title: "Pandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python" price: "263 kr" currency: NOK in_stock: false reviews_count: 13 url: https://www.desertcart.no/products/190647603-pandas-1-x-cookbook-practical-recipes-for-scientific-computing-time store_origin: NO region: Norway --- # Pandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python **Price:** 263 kr **Availability:** ❌ Out of Stock ## Quick Answers - **What is this?** Pandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python - **How much does it cost?** 263 kr with free shipping - **Is it available?** Currently out of stock - **Where can I buy it?** [www.desertcart.no](https://www.desertcart.no/products/190647603-pandas-1-x-cookbook-practical-recipes-for-scientific-computing-time) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x. Key Features This is the first book on pandas 1.x Practical, easy to implement recipes for quick solutions to common problems in data using pandas Master the fundamentals of pandas to quickly begin exploring any dataset Book Description 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 as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter. This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. 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. Many advanced recipes combine several different features across the pandas library to generate results. What you will learn Master data exploration in pandas through dozens of practice problems Group, aggregate, transform, reshape, and filter data Merge data from different sources through pandas SQL-like operations Create visualizations via pandas hooks to matplotlib and seaborn Use pandas, time series functionality to perform powerful analyses Import, clean, and prepare real-world datasets for machine learning Create workflows for processing big data that doesn’t fit in memory Who this book is for This book is for Python developers, data scientists, engineers, and analysts. Pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas. Table of Contents Pandas Foundations Essential DataFrame Operations Creating and Persisting DataFrames Beginning Data Analysis Exploratory Data Analysis Selecting Subsets of Data Filtering Rows Index Alignment Grouping for Aggregation, Filtration and Transformation Restructuring Data into a Tidy Form Combining Pandas Objects Time Series Analysis Visualization with Matplotlib, Pandas, and Seaborn Debugging and Testing Pandas Review: Great for In Depth Knowledge of Pandas - I have been learning data science/data analysis online through Coursera and the Dataquest platform. I felt that I did not get enough information or instruction on how to work with pandas. While I am only half way through the book so far, it is really giving me great insight and a lot of practice with different pandas techniques. WIthin the first few chapters I felt like I had a much better understanding of how to manipulate data in pandas. If you feel that you don't have a full grasp of pandas, then I highly recommend this book for you Review: Visualizing Best Practices to Code - I really appreciated the examples as 'recipes' to walk through how to think in code and in visuals. This book showed how using Python is not just about coding and visualizing results, but WALKING through the "how" to articulate and visualize the problem. I was grateful for the alternative methods highlighted and explanations of where chaining in helpful and when to not chain if the need for simplicity emerged. Thank you! ## Features - Highlight, take notes, and search in the book ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #3,168,083 in Kindle Store ( See Top 100 in Kindle Store ) #788 in Data Mining (Kindle Store) #1,616 in Data Mining (Books) #1,761 in Python Programming | ## Images ![Pandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python - Image 1](https://m.media-amazon.com/images/I/81TmPjc421L.jpg) ## Available Options This product comes in different **Media Format** options. ## Customer Reviews ### ⭐⭐⭐⭐⭐ Great for In Depth Knowledge of Pandas *by D***N on November 19, 2020* I have been learning data science/data analysis online through Coursera and the Dataquest platform. I felt that I did not get enough information or instruction on how to work with pandas. While I am only half way through the book so far, it is really giving me great insight and a lot of practice with different pandas techniques. WIthin the first few chapters I felt like I had a much better understanding of how to manipulate data in pandas. If you feel that you don't have a full grasp of pandas, then I highly recommend this book for you ### ⭐⭐⭐⭐⭐ Visualizing Best Practices to Code *by M***M on July 9, 2020* I really appreciated the examples as 'recipes' to walk through how to think in code and in visuals. This book showed how using Python is not just about coding and visualizing results, but WALKING through the "how" to articulate and visualize the problem. I was grateful for the alternative methods highlighted and explanations of where chaining in helpful and when to not chain if the need for simplicity emerged. Thank you! ### ⭐⭐⭐⭐ Dense book - lots of discussion *by B***E on September 12, 2020* Covers pandas fully with examples, but the examples seem to focus on already know data sets. Uses them throughout the book, but that should not detract from the proof of value in pandas. Will use more for a reference. --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.no/products/190647603-pandas-1-x-cookbook-practical-recipes-for-scientific-computing-time](https://www.desertcart.no/products/190647603-pandas-1-x-cookbook-practical-recipes-for-scientific-computing-time) --- *Product available on Desertcart Norway* *Store origin: NO* *Last updated: 2026-09-16*