Leo po (24 resultados)

Condición: New.

Soft cover. Condición: Very Good. Paperback. No notes or highlights. Some minor wear to top of spine.

Couverture rigide. Condición: Très bon. Burlington (Vt), Ashgate Publishing Company, 2006, hardcover book, about 9 ½ X 6 ¼ inches, (ix) 334 pages. Ex-Library copy without sticker to cover. This cover is in fine condition showing minimal wear. Interior is in very fine condition except for library marks and stamps including stamps on each foredges (see images).…

Hardcover. Condición: Gut. 8 Pappe 1021 SS, OPp. (geringe Geb rauchsspuren), innen und aussen sauber und gut Gut. Leo LEONHARD (ilustrador).

Paperback. Condición: Good. no dj. Philosophical Foundations of Han Fei's Political Theory, The. Book.

Couverture souple. Condición: Assez bon. PARIS, Éditions Ferenczi [9, rue Antoine-Chantin /// L'Imprimerie Moderne, Montrouge] - 1953, 1954, 1955 - FA.14x10,5 cm - ENSEMBLE DE 17 TITRES + 1 doublon - Fascicules en cahiers agrafés; couvertures au premier plat illustré en couleurs par puis G. Sogny, dos blancs titrés et numérotés en rouge; 64 pages. (Collection Le Petit Livre. - Le volume complet 20 f.). L'ENSEMBLE DES 17 TITRES + 1 doublon, tel que décrit. Cette série aura 2006 numéros, 1912-1958. N° 1713 - VAGABOND DE SES RÊVES. Roman sentimental inédit [B. Companys - 2e trimestre 1953 - Bon état général]. *****___***** N° 1717 - LA RIVALE FANTÔME. Roman sentimental inédit [Sylvaine - 2e trimestre 1953 - Bon état général]. *****___***** N° 1721 - TYRANNIE. Roman d'amour inédit [J. du Bresis - 3e trimestre 1953 - Bon état général]. *****___***** N° 1722 - PREMIERS ÉMOIS. Roman d'amour inédit [A. Claire - 3e trimestre 1953 - Défraîchi: mouillure en couverture; ensemble solide et très correct]. *****___***** N° 1726 - LE DOMPTEUR DES COEURS. Roman dramatique inédit [F. Fontal - 3e trimestre 1953 - Bon état général]. *****___***** N° 1728 - COUREURS DE DOT. Roman d'amour inédit [P. Charmont - 3e trimestre 1953 - 2 exemplaires en bon état général]. *****___***** N° 1734 - VEUX-TU ME SUIVRE? Roman d'amour inédit [L. Gestelys - 4e trimestre 1953 - Bon état général]. *****___***** N° 1737 - AMOUR SANS LENDEMAIN. Roman dramatique inédit [Alba - 4e trimestre 1953 - Bon état général]. *****___***** N° 1745 - PARCE QUE JE VOUS AIME. Roman d'amour inédit [F. Noël - 1er trimestre 1954 - Bon état général]. *****___***** N° 1750 - LENDEMAIN D'AMOUR. Roman d'amour inédit [Alba - 1er trimestre 1954 - Bon état général]. *****___***** N° 1756 - LE PASSÉ EST SI LOINTAIN! Roman d'amour inédit [P. Charmont - 1er trimestre 1954 - 2 exemplaires en bon état général]. *****___***** N° 1760 - ENTRE DEUX AMOURS. Roman d'amour inédit [A. Michel - 2e trimestre 1954 - Bon état général]. *****___***** N° 1767 - AU BORD DU DÉSESPOIR. Roman dramatique inédit [R. Pol Dry - 2e trimestre 1954 - Bon état général]. *****___***** N° 1782 - UN RIVAL DANGEREUX. Roman d'amour inédit [A. Michel - 3e trimestre 1954 - Bon état]. *****___***** N° 1786 - LA BEAUTÉ DU COEUR. Roman d'amour inédit [P. Peter - 4e trimestre 1954 - Dos défraîchi avec petits manques de papier; bon état par ailleurs]. *****___***** N° 1797 - LA FEMME IDÉALE. Roman d'amour inédit [A. Michel - 1er trimestre 1955 - Bon état général]. *****___***** N° 1799 - SONATE POUR MON AMOUR. Roman d'amour inédit [J. Sanluys - 1er trimestre 1955 - Bon état]. …

Condición: Very Good. First edition hard back binding in publisher's original cream paper covered boards with stone cloth spine, black title and author lettering to the spine and to the front cover. 8vo. 9'' x 6¼''. Contains 560 printed pages of German text with monochrome photographs on coated paper throughout. Rubs to the corners, shallow rubs to the spine ends, tan age spots to the page edges, index pages and rear free end paper are foxed and edges worn and in near Very Good condition, no dust wrapper. Member of the P.B.F.A. RUSSIAN [Literature].…

Condición: Used: Good. Occasion - Bon Etat - Léo malet : Nestor burma détective de choc (1982) - Grand Format.

Condición: Used: Good. Occasion - Bon Etat - Léo malet : Nestor burma détective de choc (1982) - Grand Format.

Couverture souple. Condición: bon. R240142112: 1982. In-8. Broché. Bon état, Couv. convenable, Dos satisfaisant, Intérieur frais. 223 pages - quelques illustrations en noir et blanc dans et hors texte - une petite étiquette collée sur la page de garde. . . . Classification Dewey : 840.091-XX ème siècle.…

Couverture souple. Condición: bon. R240139694: 1982. In-8. Broché. Bon état, Couv. convenable, Dos satisfaisant, Intérieur frais. 223 pages - quelques illustrations en noir et blanc dans et hors texte. . . . Classification Dewey : 840.091-XX ème siècle.

Softcover. Condición: Sehr gut. Erste Ausgabe. 242 S., 1 Blatt. Orig.-Broschur. Ein schönes, gut erhaltenes Exemplar mit nur leichten Gebrauchsspuren.

Softcover. Condición: Gut. Erste Ausgabe. 242 S., 1 Blatt. Orig.-Broschur. Das letzte Blatt mit kleinem Besitzvermerk in Kugelschreiber, sonst schönes, gut erhaltenes Exemplar mit nur leichten Gebrauchsspuren.

Encuadernación de tapa dura. Condición: Excelente. EXCELENTE ESTADO.

Padova, Cedam, 1998, in-8, br. editoriale.

Condición: ESTADO COMO NUEVO. TAPA DURA TELA EDITORIAL CON CUBIERTA ILUSTRADA COLOR -GRAN FORMATO.

Paperback. Condición: new. Paperback. Have you ever thought how great it would be if you could filter, transform, aggregate, search and enrich billions of Elasticsearch records in a single, readable line?Well, that's the promise of ESQL. It's the modern piped query language that's at the heart of this book. To get started, you just need to pick a source, chain each step with a pipe, and read your query from top to bottom like a sentence. The amount of JSON needed for this kind of work is much less than it used to be. This book is for data analysts, security professionals, and developers who work with large datasets, and it takes you from your very first query to production-ready integration. You'll be shaping and summarising data, cleaning messy logs, joining across indices, ranking results by relevance, and building semantic and hybrid AI-powered search.Plus, you'll be visualising your findings in Kibana dashboards and running ESQL directly from Python, JavaScript, and automation.This book is all about getting you hands-on with real-life examples in an online retail setting, so you can put each concept into practice and get writing ESQL straight away.Key LearningsWrite piped ESQL queries that can filter, transform, and aggregate in one readable flow.Retrieve rows and columns with precise filtering and shaping.Compute new columns using math, string, date, and conditional functions inside queries.Summarise millions of rows into totals, averages, and trends using STATS.Clean multi-value fields and parse unstructured logs into typed, query-ready columns.Correlate data across indices using ENRICH policies and LOOKUP JOIN.Rank results with full-text MATCH and relevance scoring.Build semantic, hybrid, and AI-assisted search with vectors and inference.Turn queries into Kibana charts and interactive dashboards.Run ESQL from Python, JavaScript, with further automation too.Table of ContentRunning ESQL QueriesRetrieve Desired DataCompute and Transform ValuesSummarize Data with AggregationsClean and Reshape Messy DataCorrelate Data across IndicesSearch by RelevanceBuild AI-Powered SearchVisualize and Build DashboardsIntegrate ESQL into Applications This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 96 pp. Englisch.

Paperback. Condición: new. Paperback. Have you ever thought how great it would be if you could filter, transform, aggregate, search and enrich billions of Elasticsearch records in a single, readable line?Well, that's the promise of ESQL. It's the modern piped query language that's at the heart of this book. To get started, you just need to pick a source, chain each step with a pipe, and read your query from top to bottom like a sentence. The amount of JSON needed for this kind of work is much less than it used to be. This book is for data analysts, security professionals, and developers who work with large datasets, and it takes you from your very first query to production-ready integration. You'll be shaping and summarising data, cleaning messy logs, joining across indices, ranking results by relevance, and building semantic and hybrid AI-powered search.Plus, you'll be visualising your findings in Kibana dashboards and running ESQL directly from Python, JavaScript, and automation.This book is all about getting you hands-on with real-life examples in an online retail setting, so you can put each concept into practice and get writing ESQL straight away.Key LearningsWrite piped ESQL queries that can filter, transform, and aggregate in one readable flow.Retrieve rows and columns with precise filtering and shaping.Compute new columns using math, string, date, and conditional functions inside queries.Summarise millions of rows into totals, averages, and trends using STATS.Clean multi-value fields and parse unstructured logs into typed, query-ready columns.Correlate data across indices using ENRICH policies and LOOKUP JOIN.Rank results with full-text MATCH and relevance scoring.Build semantic, hybrid, and AI-assisted search with vectors and inference.Turn queries into Kibana charts and interactive dashboards.Run ESQL from Python, JavaScript, with further automation too.Table of ContentRunning ESQL QueriesRetrieve Desired DataCompute and Transform ValuesSummarize Data with AggregationsClean and Reshape Messy DataCorrelate Data across IndicesSearch by RelevanceBuild AI-Powered SearchVisualize and Build DashboardsIntegrate ESQL into Applications This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Have you ever thought how great it would be if you could filter, transform, aggregate, search and enrich billions of Elasticsearch records in a single, readable line Well, that's the promise of ES|QL. It's the modern piped query language that's at the heart of this book. To get started, you just need to pick a source, chain each step with a pipe, and read your query from top to bottom like a sentence. The amount of JSON needed for this kind of work is much less than it used to be. This book is for data analysts, security professionals, and developers who work with large datasets, and it takes you from your very first query to production-ready integration. You'll be shaping and summarising data, cleaning messy logs, joining across indices, ranking results by relevance, and building semantic and hybrid AI-powered search.Plus, you'll be visualising your findings in Kibana dashboards and running ES|QL directly from Python, JavaScript, and automation.This book is all about getting you hands-on with real-life examples in an online retail setting, so you can put each concept into practice and get writing ES|QL straight away.Key LearningsWrite piped ES|QL queries that can filter, transform, and aggregate in one readable flow.Retrieve rows and columns with precise filtering and shaping.Compute new columns using math, string, date, and conditional functions inside queries.Summarise millions of rows into totals, averages, and trends using STATS.Clean multi-value fields and parse unstructured logs into typed, query-ready columns.Correlate data across indices using ENRICH policies and LOOKUP JOIN.Rank results with full-text MATCH and relevance scoring.Build semantic, hybrid, and AI-assisted search with vectors and inference.Turn queries into Kibana charts and interactive dashboards.Run ES|QL from Python, JavaScript, with further automation too.Table of ContentRunning ES|QL QueriesRetrieve Desired DataCompute and Transform ValuesSummarize Data with AggregationsClean and Reshape Messy DataCorrelate Data across IndicesSearch by RelevanceBuild AI-Powered SearchVisualize and Build DashboardsIntegrate ES|QL into Applications.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Have you ever thought how great it would be if you could filter, transform, aggregate, search and enrich billions of Elasticsearch records in a single, readable line Well, that's the promise of ES|QL. It's the modern piped query language that's at the heart of this book. To get started, you just need to pick a source, chain each step with a pipe, and read your query from top to bottom like a sentence. The amount of JSON needed for this kind of work is much less than it used to be. This book is for data analysts, security professionals, and developers who work with large datasets, and it takes you from your very first query to production-ready integration. You'll be shaping and summarising data, cleaning messy logs, joining across indices, ranking results by relevance, and building semantic and hybrid AI-powered search.Plus, you'll be visualising your findings in Kibana dashboards and running ES|QL directly from Python, JavaScript, and automation.This book is all about getting you hands-on with real-life examples in an online retail setting, so you can put each concept into practice and get writing ES|QL straight away.Key LearningsWrite piped ES|QL queries that can filter, transform, and aggregate in one readable flow.Retrieve rows and columns with precise filtering and shaping.Compute new columns using math, string, date, and conditional functions inside queries.Summarise millions of rows into totals, averages, and trends using STATS.Clean multi-value fields and parse unstructured logs into typed, query-ready columns.Correlate data across indices using ENRICH policies and LOOKUP JOIN.Rank results with full-text MATCH and relevance scoring.Build semantic, hybrid, and AI-assisted search with vectors and inference.Turn queries into Kibana charts and interactive dashboards.Run ES|QL from Python, JavaScript, with further automation too.Table of ContentRunning ES|QL QueriesRetrieve Desired DataCompute and Transform ValuesSummarize Data with AggregationsClean and Reshape Messy DataCorrelate Data across IndicesSearch by RelevanceBuild AI-Powered SearchVisualize and Build DashboardsIntegrate ES|QL into Applications 96 pp. Englisch.…

Taschenbuch. Condición: Neu. Practical Elasticsearch Query Language | Query, Analyze, Filter, Aggregate, Join, and Search across Billions of Records with ES QL | Leo Po | Taschenbuch | Englisch | 2026 | GitforGits | EAN 9789349174320 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …