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

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Il permet d'approfondir certains points et aborde la bibliothèque d'un point de vue très pratique, ce qui est vraiment appréciable. What is more interesting to me is optimization and the notion of the Pandas “API” being the standard interface for interacting with data in Python.

I skimmed through several chapters because I’m reasonably familiar with pandas, but I’d recommend the book to anyone who uses pandas a lot. 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”. You can use Pandas for that but as you mention things like transpose aren’t really meant for hetergenous data types. 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. Prior to reading this book I could install Jupyter, read in an Excel file and look at a Seaborn Graph.

One of the best investments that you can make when becoming a data scientist is to become a Pandas expert, and there is no better book than Harrison’s to help you get there. It is one of the most widely used libraries for data analysis and has been adopted by many organizations due to its simplicity and versatility. Between taking courses, practicing on projects, and competing on Kaggle…how could you find enough time to finish a book?

Everyone is allowed their opinions, but my opinion is that his opinions on these things is pretty darn close to right.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. Since then, Pandas (with all of its warts and inconsistencies) has taken the world by storm (for better or worse). I like the way how Matt have described the each scenario, graphical/pictorial representation of each topic to give you a visual clarity on what is happening underneath.

i remember cursing under my breath whenever I had to review coworkers' pull requests containing Pandas code. More like a manual than a book with "Effective" in the title (Like Effective C++ or Effective Python).Bonus: At the end of each chapter, you will find exercises that make you practice right away the concepts you’ve just read. 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. Tips and insights on things like effectively chaining pandas methods, improving memory usage through manipulation of data types, making sure that appropriate constructs are used for accessing intermediate data frames in chained sequences (see notes on lambda functions in ch 10 and on the differences btw . I bought Effective Pandas to grasp the panda's concepts finally and hoped I would do it efficiently and effectively. Matt Harrison doesn’t assume that anyone taking the course has a lot of Python programming experience.

Finance is provided by PayPal Credit (a trading name of PayPal UK Ltd, Whittaker House, Whittaker Avenue, Richmond-Upon-Thames, Surrey, United Kingdom, TW9 1EH). At the end of each chapter, Matt asks you to reinforce what you learned by practicing on a dataset of your choice. Plus, many of the interview questions you will face during the hiring process will probably involve Pandas.The course is served on the Podia platform, which has a decent interface for presenting the course materials and a video player with standard controls. From doing SQL-like operations in-memory, to statistical analysis, to data visualization - this book covers pandas in its full breadth! Matt Harrison is the Pandas guru, which in my opinion is equivalent to being Canelo Alvarez of boxers or the Esther Perel of therapists; he’s mastered the fundamentals and knows more than most anyone about the Pandas package. I personally don’t think Pandas is the perfect API (certainly there are tough spots for beginners), but it is where we are at today. This amount includes seller specified domestic postage charges as well as applicable international postage, dispatch, and other fees.