| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISALENTO991001036499707536 |
|
|
Autore |
International School of Nuclear Physics on investigation of nuclear structure by scattering processes at high energies |
|
|
|
|
Titolo |
|
|
|
|
The investigation of nuclear structure by scattering processes at high energies : proceedings of the International School of Nuclear Physics, Erice, 22 September-1 October, 1974 / edited by H. Schopper |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Amsterdam : North-Holland Publ. Co., 1975 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
vii, 360 p. : ill. ; 27 cm. |
|
|
|
|
|
|
Classificazione |
|
53(082.2) |
53.4.1 |
53.4.3 |
539.7'54 |
QC794.6.S3 |
|
|
|
|
|
|
|
|
Altri autori (Persone) |
|
|
|
|
|
|
Soggetti |
|
Nuclear reactions - Congresses |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910795724303321 |
|
|
Autore |
Campesato Oswald |
|
|
Titolo |
Dealing with Data Pocket Primer |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Bloomfield : , : Mercury Learning & Information, , 2022 |
|
©2022 |
|
|
|
|
|
|
|
|
|
ISBN |
|
1-5231-4740-7 |
1-68392-818-0 |
1-68392-819-9 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (246 pages) |
|
|
|
|
|
|
Collana |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Quantitative research - Reliability |
Quantitative research - Data processing |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
Frontmatter -- Contents -- Preface -- Chapter 1: Introduction to Probability and Statistics -- Chapter 2: Working with Data -- Chapter 3: Introduction to Pandas -- Chapter 4: Introduction to RDBMS and SQL -- Chapter 5: Working with SQL and MySQL -- Chapter 6: NLP and Data Cleaning -- Chapter 7: Data Visualization -- Index |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computer languages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistical concepts, data-related techniques, features of Pandas, RDBMS, SQL, NLP topics, Matplotlib, and data visualization. Companion files with source code and color figures are available. FEATURES: Covers Pandas, RDBMS, NLP, data cleaning, SQL, and data visualization. Introduces probability and statistical concepts. Features numerous code samples throughout. Includes companion files with source code and figures. |
|
|
|
|
|
|
|
| |