Sharath kumar (384 résultats)

paperback. Etat : Very Good.

Paperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

paperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Paperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Paperback. Etat : Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

paperback. Etat : Good. Satisfaction 100% guaranteed.

Soft cover. Etat : Very Good. 2nd Edition. Second edition, May 2019. Very good condition. Some edge and corner wear. A small number of page corners bent from storage. Clean and tight. No writing or marking.

paperback. Etat : Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Etat : New.

Etat : New.

Paperback. Etat : Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Etat : New.

paperback. Etat : New.

Etat : New.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New.

Paperback. Etat : New. Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of PythonKey FeaturesStudy and use Python interactive libraries, such as Bokeh and PlotlyExplore different visualization principles and understand when to use which oneCreate interactive data visualizations with real-world dataBook DescriptionWith so much data being continuously generated, developers, who can present data as impactful and interesting visualizations, are always in demand. Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python.You'll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you'll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories. You'll also gain insight into how interactive data and model visualization can optimize the performance of a regression model.By the end of the course, you'll have a new skill set that'll make you the go-to person for transforming data visualizations into engaging and interesting stories.What you will learnExplore and apply different interactive data visualization techniquesManipulate plotting parameters and styles to create appealing plotsCustomize data visualization for different audiencesDesign data visualizations using interactive librariesUse Matplotlib, Seaborn, Altair and Bokeh for drawing appealing plotsCustomize data visualization for different scenariosWho this book is forThis book intends to provide a solid training ground for Python developers, data analysts and data scientists to enable them to present critical data insights in a way that best captures the user's attention and imagination. It serves as a simple step-by-step guide that demonstrates the different types and components of visualization, the principles, and techniques of effective interactivity, as well as common pitfalls to avoid when creating interactive data visualizations. Students should have an intermediate level of competency in writing Python code, as well as some familiarity with using libraries such as pandas.…

Etat : New. pp. 474 2nd edition.

Etat : New. In English.

Etat : New. In English.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Taschenbuch. Etat : Neu. Neuware - Most of the hematite iron ore contain lot of impurities that needs beneficiation before use. Extent to which beneficiation techniques are employed, depends on the level and nature of diluents and the form of distribution of the gangue and impurities in the ore structure.Liberation of ore is essential to make it amenable for any concentration techniques. For selection of any technique, it is essential to do first mineralogical evaluation which gives insight into ore and gangue association, grain size etc. All these studies are done in Mineral beneficiation plants, which has been possible due to high knowledge-based professionals engaged in Mineral beneficiation industries and institures. This book has been complied keeping an aim at providing comprehensive current informative calculations in the field of hematite ore benification from mines to product. This book contains details of equipments used and their calculations as required for iron ore benificiation process/quality control personnels. The focus of the book is to make iron ore benification process energy efficient and economical. It provides a framework for learning the necessary skills in a way that emphasizes the uniqueness of each equipment related to Hematite ore benification process.It provides the hematite ore benificiation engineers the conceptual foundation and introduces them to the skills necessary for understanding and implementing process knowledge and calculations.…

Etat : New.

Etat : New. In English.