Vous voulez être sûr que vos cadeaux seront sous le sapin de Noël à temps? Nos magasins vous accueillent à bras ouverts. La plupart de nos magasins sont ouverts également les dimanches, vous pouvez vérifier les heures d'ouvertures sur notre site.
- Retrait gratuit dans votre magasin Club
- 7.000.000 titres dans notre catalogue
- Payer en toute sécurité
- Toujours un magasin près de chez vous
Vous voulez être sûr que vos cadeaux seront sous le sapin de Noël à temps? Nos magasins vous accueillent à bras ouverts. La plupart de nos magasins sont ouverts également les dimanches, vous pouvez vérifier les heures d'ouvertures sur notre site.
- Retrait gratuit dans votre magasin Club
- 7.000.0000 titres dans notre catalogue
- Payer en toute sécurité
- Toujours un magasin près de chez vous
20,95 €
+ 41 points
Description
Are you having difficulty in your data analysis processes?
And are looking for a way to simplify information gathering, processing and analysis of data flow with speed and accuracy- with Python but don't know how to get started, or much about this programming language?
If you've answered YES, keep reading....
We're living in a digital era where technology is getting more advanced by the day, data volumes are swelling and information handling is becoming increasingly tiresome, time-consuming and expensive.
Any tool that has a significant number of data-oriented features and packages, that can speed up and simplify data processing would be more than a life-saver to any data scientist or business enterprise churning large chunks of data that needs cleaning and better visualization.
But you know what, Python offers that and more!
I would say that it is its stunning ecosystem and simplicity that makes it the best.
Or its cross-functionality, object-orientation that is widely known to streamline complex data sets.
Perhaps I'd also mention its dynamic semantics, its entire slew of libraries, heavy support or readability that we all enjoy!
But even with all that, I still wouldn't be able to describe exactly how much Python jibes well with data science or analysis.
But chances are you have an idea of how awesome Python is in data analysis, but have been wondering:
How does Python work? How would it assist me in data analysis?
What if I have never programmed before? Do I still stand a chance?
What should I get started with?
How do I use packages like Numpy, Pandas and Matplotlib to analyze data?
If I am right, then this is exactly where you need to be. This book will give you answers to these and more questions as it shows you how easy data analysis work can be with a platform that has built in data analysis tools and features to do all the heavy lifting.
- What data science is and why python is ideal for its exploration
- How to install and set up Python on Mac, Windows and Linux
- What anaconda virtual environment looks like and why it's important
- The basics of Python programming to refresh your mind
- How to approach and explore data analysis with Numpy
- How to approach and explore data analysis with Pandas
- How to go about data wrangling with Python
- How to conduct data visualization with Matplotlib
...And much more!
It's no secret that the success of any business correlates directly with the ability to extract knowledge and insights from data to make effective strategic decisions, make progress and remain competitive. Python has enjoyed international acclamation for efficient data handling so you can rest assured that you have the right tool.
All you need to do is spend a few hours with this simple beginners' book to understand how to get started.
Even if you've never used python for anything else before other than simple programming, this book will usher you into this new world of possibilities with python.
Don't be left out....
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 92
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9781801490528
- Date de parution :
- 15-03-18
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 152 mm x 229 mm
- Poids :
- 136 g
