Python Data Analytics - Travis Booth - Boeken - INDEPENDENTLY PUBLISHED - 9781700074256 - 15 oktober 2019
Indien omslag en titel niet overeenkomen, is de titel correct

Python Data Analytics

Prijs
€ 24,49

Besteld in een afgelegen magazijn

Verwachte levering 12 - 21 jan. 2026
Kerstcadeautjes kunnen tot en met 31 januari worden ingewisseld
Voeg toe aan uw iMusic-verlanglijst
of

Ook verkrijgbaar als:

Python Data Analytics at Your Fingertips




Big data manipulation with Python is one of the hottest topics going around right now but it can be difficult to understand where to begin. If you already have some coding experience then finding a book that strikes the right balance between concepts and practical examples can be difficult.

Python Data Analytics is your ultimate resource to master data manipulation using Python's extensive libraries. Travis Booth, the author of Deep Learning with Python, Linux for Beginners and Python Coding will take you on a deep dive into the world of data analytics using Python from A to Z.


Whether you've had exposure to Python programming previously or if you're searching for a resource that is focused on teaching Python data analysis for beginners, this is the book for you.


Here are some of the topics you will learn about:

Data manipulation basics- Procedures and toolsPython libraries for data analysisUsing NumPy for statistical analysisTesting hypothesis using PythonData mining and building modelsUsing SciPy to test hypotheses

and much more!

Join all the people who have integrated data analytics into their skill set. Learn one of the most sought after and relevant skills employers are looking for!

Click buy now!

Bonus- Get the ebook completely free when you purchase the paperback with Kindle Matchbook

Media Boeken     Paperback Book   (Boek met zachte kaft en gelijmde rug)
Vrijgegeven 15 oktober 2019
ISBN13 9781700074256
Uitgevers INDEPENDENTLY PUBLISHED
Pagina's 178
Afmetingen 152 × 229 × 10 mm   ·   244 g
Taal en grammatica Engels  

Meer door Travis Booth

Alles tonen