Foundational Python for Data Science (PDF)

Name: Foundational Python for Data Science
Brand: Pearson ITP
SKU: 145369865
Price: 47.99 EUR
Availability: OnlineOnly

(Sprache: Englisch)

Autor: Kennedy Behrman

Schreiben Sie einen Kommentar zu "Foundational Python for Data Science".

Foundational Python for Data Science, Kennedy Behrman

Merken

Learn all the foundational Python you'll need to solve real data science problems

Data science and machine learning--two of the world's hottest fields--are attracting talent from a wide variety of technical, business, and liberal arts disciplines....

Mehr zum Inhalt Autorenporträt Video

sofort als Download lieferbar

Bestellnummer: 145369865

eBook (pdf) 47.99 €

Download bestellen

Verschenken

23 DeutschlandCard Punkte sammeln

Lastschrift, Kreditkarte, Paypal, Rechnung
Kostenloser tolino webreader

Produktdetails

Produktbeschreibung
Autorenporträt
eBook Hilfe
Biblio. Angaben / Produktdetails

Produktinformationen zu „Foundational Python for Data Science (PDF)“

Learn all the foundational Python you'll need to solve real data science problems

Data science and machine learning--two of the world's hottest fields--are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world's #1 programming language, is also the most popular language for data science and machine learning. This guide is specifically designed to help millions of people with widely diverse backgrounds learn Python so they can use it for data science and machine learning.

Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once you've learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving.

Master Google colab notebook Data Science programming
Manipulate data with popular Python libraries such as: pandas and numpy
Apply Python Data Science recipes to real world projects
Learn functional programming essentials unique to Data Science
Access case studies, chapter exercises, learning assessments, comprehensive Jupyter based Notebooks, and a complete final project

Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more--all created with colab (Jupyter compatible) notebooks, so you can execute all coding examples interactively without installing or configuring any software.

Autoren-Porträt von Kennedy Behrman

Kennedy Behrman is a veteran software and data engineer. He first used Python writing asset management systems in the Visual Effects industry. He then moved into the startup world, using Python at startups using machine learning to characterize videos and predict the social media power of athletes.