Thursday, 5 November 2020

Best Python for Data Analysis: A Complete Beginner Guide for Python basics, Numpy, Pandas, Seaborn, Bokeh and Matplotlib for Data Analysis (Machine Learning & Data Science for Beginners) By AI Publishing

Best Python for Data Analysis: A Complete Beginner Guide for Python basics, Numpy, Pandas, Seaborn, Bokeh and Matplotlib for Data Analysis (Machine Learning & Data Science for Beginners) By AI Publishing

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Python for Data Analysis: A Complete Beginner Guide for Python basics, Numpy, Pandas, Seaborn, Bokeh and Matplotlib for Data Analysis (Machine Learning & Data Science for Beginners)-AI Publishing

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Ebook About
Python Coding and Python for Data Analysis for Beginners with Hands-On Projects  Are you looking for a hands-on approach to learn Python coding and Python for Data Analysis fast? Do you need to start learning Python coding and Data Analysis from Scratch? This book is for you. Data analysis is the lifeblood of any business and Python is the perfect language for data analysis.In simplest terms, data analysis is the inspection, cleansing, evaluation, and transformation of data. One of the widely used languages for data analysis today is Python. Gaining a quick understanding of Python will give you an entry to this evergreen field of study.How Is This Book Different?The main focus of this book is on hands-on learning. The best way you can learn Python is by practicing everything you learn in real-time, step by step. And you can certainly go beyond the basics without having to swallow the whole Python official documentation.This book aims to shorten your learning curve by presenting you with ample hands-on tools. The primary goal is to present you with the concepts, the ideas, the intuitions, and the elementary tools needed to actually start coding and analyzing data in Python.The main advantage of buying this book is you get easy access to all the materials provided with this book—Python codes, references, exercises, and extra PDF content—on the publisher’s website, at no extra cost. You get to experiment with the practical aspects of Python right from page 1.This book is ideal if you are new to Python and data science. The topics covered include:Introduction to Data AnalysisPython for Data Analysis—Basics and AdvancedIPython and Jupyter NotebooksNumpy for Numerical Data ProcessingPandas for Data ManipulationData VisualizationClick the BUY button and download the book now to start learning and coding Python for Data Analysis.

Book Python for Data Analysis: A Complete Beginner Guide for Python basics, Numpy, Pandas, Seaborn, Bokeh and Matplotlib for Data Analysis (Machine Learning & Data Science for Beginners) Review :



Very interesting book in a marvelous collection whose quality and pedagogy are remarkable for a very affordable price.I discovered it a few days ago and I have not yet had the time or the pleasure of reading it entirely, especially because, as a French citizen, my command of the English language is still open to improvement.At 77 years of age, I regret that I am not a few decades younger to be able to invest myself fully in these exciting subjects...I must admit that I have great pleasure in reading such well presented technical subjects.
A concise presentation of the basics. This is a good thing if you are already familiar with some of the concepts and just want a quick, organized guidebook to follow. However, this is a bad thing if you need more complete explanation, as you might expect from a book that presents itself as "A Complete Beginner Guide".The book itself leaves many things to be desired. In particular, it is full of grammatical mistakes and other typographical problems.- The text uses “curly quotes” throughout, even in code samples, which will crash every version of Python that exists. (Why didn't the author turn OFF the "use smart quotes" option in his word processor??)- There are many places where the quotation marks aren't even quotes, but are rather the guillemet characters « » that are used in France and elsewhere. Try typing those in on a keyboard that doesn't have them! A beginner will be confused, and might even try to type them as << and >>, which will definitely crash Python.- Code examples are line-wrapped, often in odd places, without any explanation or indication. This can be exceedingly frustrating to a beginner, especially in a language like Python that depends on indentation and white space for its semantics.- Code samples (especially in the exercises) are often shown in a non-monospaced font, making them really confusing at times. Other code samples are in a nice monospaced font. Why not be consistent, and use monospaced throughout for code samples?- There are many places in the book that refer to "Further Readings". Most of these contain links to something on the Web. But, my book is on paper. Links don't work on paper. For example: on page 66 there is an infobox that says "This free book presents...". The words "This free book" are underlined, and are obviously a link. but, the URL is not printed. I can't click a link on a printed page. Perhaps they work on the Kindle version, but if they sell a paper version it should not include links to click.I could go on... but I think the point is made.

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Best Python for Data Analysis: A Complete Beginner Guide for Python basics, Numpy, Pandas, Seaborn, Bokeh and Matplotlib for Data Analysis (Machine Learning & Data Science for Beginners) By AI Publishing Rating: 4.5 Diposkan Oleh: ewaldlynch

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