Wolohan john t (36 risultati)

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Condizione: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Condizione: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condizione: 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. Condizione: Good. With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You?ll get familiar with Python?s functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, you?ll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level!Key features? An introduction to functional and parallel programming ? Data science workflow ? Profiling code for better performance ? Fulfilling different quality objectives for a single unifying task ? Python multiprocessing ? Practical exercises including full-scale distributed applicationsAudienceReaders should have intermediate Python programming skills.About the technologyPython is a data scientist?s dream-come-true, thanks to readily available libraries that support tasks like data analysis, machine learning, visualization, and numerical computing. J.T. Wolohan is a lead data scientist at Booz Allen Hamilton and a PhD researcher at Indiana University, Bloomington, affiliated with the Department of Information and Library Science and the School of Informatics and Computing. His professional work focuses on rapid prototyping and scalable AI. His research focuses on computational analysis of social uses of language online.…

Paperback. Condizione: Good. With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You?ll get familiar with Python?s functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, you?ll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level!Key features? An introduction to functional and parallel programming ? Data science workflow ? Profiling code for better performance ? Fulfilling different quality objectives for a single unifying task ? Python multiprocessing ? Practical exercises including full-scale distributed applicationsAudienceReaders should have intermediate Python programming skills.About the technologyPython is a data scientist?s dream-come-true, thanks to readily available libraries that support tasks like data analysis, machine learning, visualization, and numerical computing. J.T. Wolohan is a lead data scientist at Booz Allen Hamilton and a PhD researcher at Indiana University, Bloomington, affiliated with the Department of Information and Library Science and the School of Informatics and Computing. His professional work focuses on rapid prototyping and scalable AI. His research focuses on computational analysis of social uses of language online.…

Condizione: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Condizione: Fair. 7. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

Condizione: As New. Unread copy in mint condition.

Condizione: New. Brand New.

Softcover. Condizione: Good. No Dust Jacket. 3rd Edition. Some shelf and corner wear with corners beginning to curl and crease Some minor marking and/or highlighting. Binding is tight and solid in very good condition. Good study copy. 675 pp. Quantity Available: 1. Category: Law & Criminal Studies; Sports & Pastimes. ISBN: 0787299685. ISBN/EAN: 9780787299682. Pictures of this item not already displayed here available upon request. Inventory No: 1560771081. …

Paperback. Condizione: New. With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You'll get familiar with Python's functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, you'll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level!Key features. An introduction to functional and parallel programming . Data science workflow . Profiling code for better performance . Fulfilling different quality objectives for a single unifying task . Python multiprocessing . Practical exercises including full-scale distributed applicationsAudienceReaders should have intermediate Python programming skills.About the technologyPython is a data scientist's dream-come-true, thanks to readily available libraries that support tasks like data analysis, machine learning, visualization, and numerical computing. J.T. Wolohan is a lead data scientist at Booz Allen Hamilton and a PhD researcher at Indiana University, Bloomington, affiliated with the Department of Information and Library Science and the School of Informatics and Computing. His professional work focuses on rapid prototyping and scalable AI. His research focuses on computational analysis of social uses of language online. …

Softcover. Condizione: Good. 3rd Edition. The text aappears clean, the 1st 4-5 lower page edges have light wavinees from dampness. The cover has wear with taped upper/lower spine edges, corner creases and stickes on the spine. Quantity Available: 1. ISBN: 0787299685. ISBN/EAN: 9780787299682. Pictures of this item not already displayed here available upon request. Inventory No: 1560773517. …

Softcover. Condizione: New. 3rd Edition. Still in Shrinkwrap Multiple copies available this title. Quantity Available: 12. ISBN: 0787299685. ISBN/EAN: 9780787299682. Pictures of this item not already displayed here available upon request. Inventory No: 1560771082.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New. pp. 296.

Condizione: New. pp. 296.

Condizione: New. pp. 296.

Paperback. Condizione: new. Paperback. With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. Youll get familiar with Pythons functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, youll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level!Key features An introduction to functional and parallel programming Data science workflow Profiling code for better performance Fulfilling different quality objectives for a single unifying task Python multiprocessing Practical exercises including full-scale distributed applicationsAudienceReaders should have intermediate Python programming skills.About the technologyPython is a data scientists dream-come-true, thanks to readily available libraries that support tasks like data analysis, machine learning, visualization, and numerical computing. J.T. Wolohan is a lead data scientist at Booz Allen Hamilton and a PhD researcher at Indiana University, Bloomington, affiliated with the Department of Information and Library Science and the School of Informatics and Computing. His professional work focuses on rapid prototyping and scalable AI. His research focuses on computational analysis of social uses of language online. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: Very Good. Book in Very Good condition.

Paperback. Condizione: New. With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You'll get familiar with Python's functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, you'll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level!Key features. An introduction to functional and parallel programming . Data science workflow . Profiling code for better performance . Fulfilling different quality objectives for a single unifying task . Python multiprocessing . Practical exercises including full-scale distributed applicationsAudienceReaders should have intermediate Python programming skills.About the technologyPython is a data scientist's dream-come-true, thanks to readily available libraries that support tasks like data analysis, machine learning, visualization, and numerical computing. J.T. Wolohan is a lead data scientist at Booz Allen Hamilton and a PhD researcher at Indiana University, Bloomington, affiliated with the Department of Information and Library Science and the School of Informatics and Computing. His professional work focuses on rapid prototyping and scalable AI. His research focuses on computational analysis of social uses of language online. …

Condizione: New. With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You ll get familiar with Python s functional built-ins like the functools operator and ite.

paperback. Condizione: New. In shrink wrap. Looks like an interesting title.

Taschenbuch. Condizione: Neu. Neuware - With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You'll get familiar with Python's functional built-ins like the functools operator and itertools modules, as well as the tools library.Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, you'll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level!Key features- An introduction to functional and parallel programming- Data science workflow- Profiling code for better performance- Fulfilling different quality objectives for a single unifying task- Python multiprocessing- Practical exercises including full-scale distributed applicationsAudienceReaders should have intermediate Python programming skills.About the technologyPython is a data scientist's dream-come-true, thanks to readily available libraries that support tasks like data analysis, machine learning, visualization, and numerical computing.…

Paperback. Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. …

paperback. Condizione: As New.

Paperback. Condizione: new. Paperback. With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. Youll get familiar with Pythons functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, youll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level!Key features An introduction to functional and parallel programming Data science workflow Profiling code for better performance Fulfilling different quality objectives for a single unifying task Python multiprocessing Practical exercises including full-scale distributed applicationsAudienceReaders should have intermediate Python programming skills.About the technologyPython is a data scientists dream-come-true, thanks to readily available libraries that support tasks like data analysis, machine learning, visualization, and numerical computing. J.T. Wolohan is a lead data scientist at Booz Allen Hamilton and a PhD researcher at Indiana University, Bloomington, affiliated with the Department of Information and Library Science and the School of Informatics and Computing. His professional work focuses on rapid prototyping and scalable AI. His research focuses on computational analysis of social uses of language online. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.