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

£19.745
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Effective Pandas: Patterns for Data Manipulation (Treading on Python)

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

RRP: £39.49
Price: £19.745
£19.745 FREE Shipping

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Do you think is it because pandas is mainly used for exploratory work and thus, Data Scientists do not see much upside in learning it effectively or is this lack of awareness about what exactly is effective pandas? Pandas is built for working with this type of data and also leverages NumPy so it is speedy and memory efficient. This book can be used by a beginner to dive into a wonderful world of pandas possibilities but at the same time, a seasoned user can use it to refine his panda's skills do some things more effectively. 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. This aside, Effective Pandas is a useful and readable outline of an important tool; it has the flavour of a user guide rather than a documentation reference. I would rather have an expert that can discuss the pros and cons and knows what the warts are because they have witnessed them first-hand. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings.

I have been using Pandas for a long time, so I picked this up thinking I already knew everything about Pandas but I was very wrong. This collection would get you close to 98%-99% of all the necessary core skills to be a good Data Scientists. In a world where currently either most Data Scientists either strive for more core modelling skills or core engineering skills (mainly with respect to being more MLOps aware), how would you place skills like writing effective pandas code? The book is wonderfully organized and each chapter builds up your knowledge on the core concepts and clearly charts a picture of what is the purpose of each concept. Getting started with the basics of working with data in Pandas is not too difficult, but moving beyond those basics to extract the most value from all that functionality takes time, effort and good learning resources.

qcut() are two functions in Pandas that allow you to bin continuous variables into categorical ones. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. Pandas is one of those libraries that suffers from the "guitar principle" (also known as the "Bushnell Principle" in the video game circles): it is easy to use, but difficult to master.I'll answer it this way: it is a different pain than working with a publisher and you need to be able to manage some of the aspects that a publisher does for you. Do you present through independent small examples through the whole book or, you start with small examples and then build up to a big project towards the end? 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 is laid out in such a way that topics flow naturally one to the next and are conducive to a read-through for learning the pandas library piece by piece. This can lead to some very messy code, in which the time-pressed data scientist ends up melding several different programming philosophies just to get their aggregation to work.

My conference "tour" this year was mostly focused on some ideas that can make your Pandas code better. 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. By following the guidelines outlined in this book, you can greatly improve the speed and efficiency of your data analysis workflows. Effective Pandas is 350+ pages of no-fluff, get-it-done explanations and advice to help you learn pandas or to level up your existing knowledge and skills. Truly, it is one of the most straightforward and powerful data manipulation libraries, yet, because it is so easy to use, no one really spends much time trying to understand the best, most pythonic way to employ the library to its full extent.like a salad recipe written by a corporate lawyer using a phone autocorrect that only knew Excel formulas. It has examples from NumPy, Scikit-Learn, and Pandas, but only to show the Python syntax in real-world examples. You've had a chance to work on the material, it is fresh on your mind, and you have used a different part of your brain by working on the labs.

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.If you're looking for that one resource that will help you build out your knowledge of pandas, and that you'll go back to again and again, this is it.



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