Effective Pandas: Patterns for Data Manipulation (Treading on Python)

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Some of the methods performed by Pandas can be done by other libraries such as : nupmy or sciket learn. You can use Pandas for that but as you mention things like transpose aren’t really meant for hetergenous data types.

This material packs my findings after using Pandas in production, writing a few books about Pandas, and teaching Pandas to thousands through live and virtual trainings. Il permet d'approfondir certains points et aborde la bibliothèque d'un point de vue très pratique, ce qui est vraiment appréciable. The book is full of useful information and practical knowledge for the daily use of pandas, and also contains interesting focus on some external features such as Cython, CatBoost or sparklines. I can't wait to get into the more advanced topics and start applying what I learn to my day-to-day work.Opinionated” is important in the context of pandas: it’s a very flexible library that gives you rope to hang yourself, often contradicting the zen of Python: “There should be one — and preferably only one — obvious way to do it”. Pandas has extensive API documentation and guides for getting started, but the documentation doesn’t always feature realistic use cases. There are so many Python-based libraries out there which can be used for a variety of data science tasks.

Most purchases from business sellers are protected by the Consumer Contract Regulations 2013 which give you the right to cancel the purchase within 14 days after the day you receive the item. The book covers a wide range of topics, from basic data manipulation to more advanced topics like performance optimization and memory efficiency.Matt Harrison doesn’t assume that anyone taking the course has a lot of Python programming experience.

I realized that I never had an in-depth, rigorous, formal course that covers these topics and maybe was not fully using the capabilities or writing the most optimal code that can be written. By following the guidelines outlined in this book, you can greatly improve the speed and efficiency of your data analysis workflows. The book goes beyond explaining the data structures and methods that underpin Pandas, but he also provides a ton of practical advice regarding best practices in data manipulation and transformations. Change country: -Select- Afghanistan Albania Algeria American Samoa Andorra Angola Anguilla Antigua and Barbuda Argentina Armenia Aruba Azerbaijan Republic Bahamas Bahrain Bangladesh Belarus Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil British Virgin Islands Brunei Darussalam Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Islands Cayman Islands Central African Republic Chad Chile China Colombia Comoros Cook Islands Costa Rica Côte d'Ivoire (Ivory Coast) Democratic Republic of the Congo Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Ethiopia Falkland Islands (Islas Malvinas) Fiji Gabon Republic Gambia Georgia Ghana Greenland Grenada Guam Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong India Indonesia Iraq Jamaica Japan Jordan Kazakhstan Kenya Kiribati Kuwait Kyrgyzstan Laos Lebanon Lesotho Liberia Macau Macedonia Madagascar Malawi Malaysia Maldives Mali Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Montserrat Morocco Mozambique Namibia Nauru Nepal Netherlands Antilles New Zealand Nicaragua Niger Nigeria Niue Oman Pakistan Palau Panama Papua New Guinea Paraguay Peru Philippines Puerto Rico Qatar Republic of the Congo Rwanda Saint Helena Saint Kitts-Nevis Saint Lucia Saint Pierre and Miquelon Saint Vincent and the Grenadines San Marino Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Solomon Islands Somalia South Africa South Korea Sri Lanka Suriname Swaziland Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkmenistan Turks and Caicos Islands Tuvalu Uganda United Arab Emirates United States Uruguay Uzbekistan Vanuatu Vatican City State Vietnam Virgin Islands (U.I have reviews from beginners and experience alike that this is changing how they think about Pandas. However, we will walk through real-world examples and help you understand the options that you have.

If you're a data specialist working with Pandas, I highly recommend checking out "Effective Pandas". It discusses these topics and interviews over a dozen technical authors to get their take on this and other questions. This is useful when you want to group your data into a smaller number of bins and analyze the distribution of your data.The course is laid out in a logical progression, starting from installing the Pandas library and setting up a Jupyter notebook to using advanced Pandas functions. I have started digging into your book, and it is one of the best technical books in the area of data handling and the best book in the PyData sphere I have owned and read.