top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
The Absolute Beginner's Guide to Python Programming : A Step-by-Step Guide with Examples and Lab Exercises / / by Kevin Wilson
The Absolute Beginner's Guide to Python Programming : A Step-by-Step Guide with Examples and Lab Exercises / / by Kevin Wilson
Autore Wilson Kevin (Kevin Peter), <1978->
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2022
Descrizione fisica 1 online resource (200 pages)
Disciplina 005.133
Soggetto topico Python (Computer program language)
Programming languages (Electronic computers)
Python
Programming Language
ISBN 9781484287163
1484287169
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: What is Python -- Chapter 2: The Basics -- Chapter 3: Working with Data -- Chapter 4: Flow Control -- Chapter 5: Handling Files -- Chapter 6: Using Functions -- Chapter 7: Using Modules -- Chapter 8: Exception Handling -- Chapter 9: Object Oriented Programming -- Chapter 10: Building an Interface -- Chapter 11: Developing a Game -- Chapter 12: Python Web Development.
Record Nr. UNINA-9910616398503321
Wilson Kevin (Kevin Peter), <1978->  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Applied Deep Learning : Convolutional Neural Networks and Object Detection / / by Umberto Michelucci
Advanced Applied Deep Learning : Convolutional Neural Networks and Object Detection / / by Umberto Michelucci
Autore Michelucci Umberto
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019
Descrizione fisica 1 online resource (XVIII, 285 p. 88 illus., 28 illus. in color.)
Disciplina 006.3
Soggetto topico Artificial intelligence
Python (Computer program language)
Open source software
Artificial Intelligence
Python
Open Source
ISBN 9781484249765
1484249763
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction and Development Environment Setup -- Chapter 2: TensorFlow: advanced topics -- Chapter 3: Fundamentals of Convolutional Neural Networks -- Chapter 4: Advanced CNNs and Transfer Learning -- Chapter 5: Cost functions and style transfer -- Chapter 6: Object classification - an introduction -- Chapter 7: Object localization - an implementation in Python -- Chapter 8: Histology Tissue Classification.
Record Nr. UNINA-9910349527903321
Michelucci Umberto  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Data Analytics Using Python : With Architectural Patterns, Text and Image Classification, and Optimization Techniques / / by Sayan Mukhopadhyay, Pratip Samanta
Advanced Data Analytics Using Python : With Architectural Patterns, Text and Image Classification, and Optimization Techniques / / by Sayan Mukhopadhyay, Pratip Samanta
Autore Mukhopadhyay Sayan
Edizione [2nd ed. 2023.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023
Descrizione fisica 1 online resource (259 pages)
Disciplina 006.312
Soggetto topico Artificial intelligence - Data processing
Machine learning
Python (Computer program language)
Artificial intelligence
Data Science
Machine Learning
Python
Artificial Intelligence
ISBN 9781484280058
1484280059
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Overview of Python Language -- Chapter 2: ETL with Python -- Chapter 3: Supervised Learning and Unsupervised Learning with Python -- Chapter 4: Clustering with Python -- Chapter 5: Deep Learning & Neural Networks -- Chapter 6: Time Series Analysis -- Chapter 7: Analytics in Scale.
Record Nr. UNINA-9910632475203321
Mukhopadhyay Sayan  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Data Analytics Using Python : With Machine Learning, Deep Learning and NLP Examples / / by Sayan Mukhopadhyay
Advanced Data Analytics Using Python : With Machine Learning, Deep Learning and NLP Examples / / by Sayan Mukhopadhyay
Autore Mukhopadhyay Sayan
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018
Descrizione fisica 1 online resource (195 pages)
Disciplina 005.133
Soggetto topico Python (Computer program language)
Big data
Open source software
Computer programming
Python
Big Data
Open Source
ISBN 9781484234501
1484234502
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction -- Chapter 2: ETL with Python -- Chapter 3: Supervised Learning with Python -- Chapter 4: Unsupervised Learning with Python -- Chapter 5: Deep Learning & Neural Networks -- Chapter 6: Time Series Analysis -- Chapter 7: Python in Emerging Technologies.
Record Nr. UNINA-9910300760303321
Mukhopadhyay Sayan  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Guide to Python 3 Programming [[electronic resource] /] / by John Hunt
Advanced Guide to Python 3 Programming [[electronic resource] /] / by John Hunt
Autore Hunt John
Edizione [2nd ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (0 pages)
Disciplina 005.133
Collana Undergraduate Topics in Computer Science
Soggetto topico Compilers (Computer programs)
Python (Computer program language)
Database management
Compilers and Interpreters
Python
Database Management
ISBN 3-031-40336-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Part 1: Advanced language features -- Python type hints -- Class slots -- Weak references -- Data classes -- Structural pattern matching -- Working with pprint -- Shallow v deep copy -- The __init__versus __new__ and __call__ -- Python metaclasses and meta programming -- Part 2: Computer graphics and GUIs -- Introduction to computer graphics -- Python turtle graphics -- Computer generated art -- Introduction to Matplotlib -- Graphing with Matplotlib pyplot -- Graphical user interfaces -- Tkinter GUI library -- Events in Tkinter user interfaces -- PyDraw Tkinter example application -- Part 3: Computer graphics and GUIs -- Introduction to games programming -- Building games with pygame -- StarshipMeteors pygame -- Part 4: Testing -- Introduction to testing -- PyTest testing framework -- Mocking for testing -- Part 5: File Input / Output -- Introduction to files, paths and IO -- Reading and writing files -- Stream IO -- Working with CSV files -- Working with excel files -- Regular expressions in Python -- Part 6: Database access -- Introduction to databases -- Python DB-API -- PyMySQL module -- Part 7: Logging -- Introduction to logging -- Logging in Python -- Advanced logging -- Part 8: Concurrency and parallelism -- Introduction to concurrency and parallelism -- Threading -- MultiProcessing -- Inter thread / Process synchronisation -- Futures -- Concurrency with AsyncIO -- Performance monitoring and profiling -- Part 9: Reactive programming -- Reactive programming introduction -- RxPy observables, observers and subjects -- RxPy operators -- Part 10: Network programming -- Introduction to sockets and web services -- Sockets in Python -- Web services in Python -- Flask web services -- Flask bookshop web service -- Part 11: Data analytics and machine learning -- Introduction to data science -- Pandas and data analytics -- Alternatives to pandas -- Machine learning in Python -- Pip and Conda virtual environments.
Record Nr. UNISA-996558570903316
Hunt John  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advanced Guide to Python 3 Programming / / by John Hunt
Advanced Guide to Python 3 Programming / / by John Hunt
Autore Hunt John
Edizione [2nd ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (0 pages)
Disciplina 005.133
Collana Undergraduate Topics in Computer Science
Soggetto topico Compilers (Computer programs)
Python (Computer program language)
Database management
Compilers and Interpreters
Python
Database Management
ISBN 3-031-40336-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Part 1: Advanced language features -- Python type hints -- Class slots -- Weak references -- Data classes -- Structural pattern matching -- Working with pprint -- Shallow v deep copy -- The __init__versus __new__ and __call__ -- Python metaclasses and meta programming -- Part 2: Computer graphics and GUIs -- Introduction to computer graphics -- Python turtle graphics -- Computer generated art -- Introduction to Matplotlib -- Graphing with Matplotlib pyplot -- Graphical user interfaces -- Tkinter GUI library -- Events in Tkinter user interfaces -- PyDraw Tkinter example application -- Part 3: Computer graphics and GUIs -- Introduction to games programming -- Building games with pygame -- StarshipMeteors pygame -- Part 4: Testing -- Introduction to testing -- PyTest testing framework -- Mocking for testing -- Part 5: File Input / Output -- Introduction to files, paths and IO -- Reading and writing files -- Stream IO -- Working with CSV files -- Working with excel files -- Regular expressions in Python -- Part 6: Database access -- Introduction to databases -- Python DB-API -- PyMySQL module -- Part 7: Logging -- Introduction to logging -- Logging in Python -- Advanced logging -- Part 8: Concurrency and parallelism -- Introduction to concurrency and parallelism -- Threading -- MultiProcessing -- Inter thread / Process synchronisation -- Futures -- Concurrency with AsyncIO -- Performance monitoring and profiling -- Part 9: Reactive programming -- Reactive programming introduction -- RxPy observables, observers and subjects -- RxPy operators -- Part 10: Network programming -- Introduction to sockets and web services -- Sockets in Python -- Web services in Python -- Flask web services -- Flask bookshop web service -- Part 11: Data analytics and machine learning -- Introduction to data science -- Pandas and data analytics -- Alternatives to pandas -- Machine learning in Python -- Pip and Conda virtual environments.
Record Nr. UNINA-9910746976703321
Hunt John  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Guide to Python 3 Programming / / by John Hunt
Advanced Guide to Python 3 Programming / / by John Hunt
Autore Hunt John
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXVI, 497 p. 649 illus., 162 illus. in color.)
Disciplina 005.133
Collana Undergraduate Topics in Computer Science
Soggetto topico Programming languages (Electronic computers)
Python (Computer program language)
Database management
Programming Languages, Compilers, Interpreters
Python
Database Management
ISBN 3-030-25943-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Computer Graphics -- Python Turtle Graphics -- Computer Generated Art -- Introduction to Matplotlib -- Graphing with Matplotlib pyplot -- Graphical User Interfaces -- The wxPython GUI library -- Events in wxPython User Interfaces -- PyDraw wxPython Example Application -- StarshipMeteors pygame -- Introduction to Testing -- Introduction to Files, Paths and IO -- Reading and Writing Files -- Stream IO -- Working with CSV Files -- Introduction to Databases -- Python DB-API -- PyMySQL Module -- Introduction to Logging -- Logging in Python -- Introduction to Concurrency and Parallelism -- Inter Thread / Process Synchronisation -- Reactive Programming Introduction -- RxPy Observables, Observers and Subjects -- RxPy Operators and Schedulers -- Introduction to Sockets and Web Services -- Sockets in Python -- Web Services in Python -- Bookshop Web Service. .
Record Nr. UNINA-9910349280603321
Hunt John  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Python Development : Using Powerful Language Features in Real-World Applications / / by Matthew Wilkes
Advanced Python Development : Using Powerful Language Features in Real-World Applications / / by Matthew Wilkes
Autore Wilkes Matthew
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020
Descrizione fisica 1 online resource (XXII, 605 p. 62 illus.)
Disciplina 005.133
Soggetto topico Python (Computer program language)
Open source software
Computer programming
Programming languages (Electronic computers)
Python
Open Source
Programming Languages, Compilers, Interpreters
ISBN 9781484257937
1484257936
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Prototyping and Environments -- Chapter 2: Testing, Checking and Linting -- Chapter 3: Packaging Scripts -- Chapter 4: From Script to Library -- Chapter 5: Alternative Interfaces -- Chapter 6: Speeding Things Up -- Chapter 7: Aggregation Process -- Chapter 8: Asynchronous Programming -- Chapter 9: Asynchronous Databases -- Chapter 10: Viewing the Data -- Chapter 11: Fault Tolerance -- Chapter 12: Callbacks and Data Analysis.
Record Nr. UNINA-9910411927103321
Wilkes Matthew  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Supervised and Semi-supervised Learning : Theory and Algorithms / / by Massih-Reza Amini
Advanced Supervised and Semi-supervised Learning : Theory and Algorithms / / by Massih-Reza Amini
Autore Amini Massih-Reza
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XVIII, 309 p. 1 illus.)
Disciplina 006.3
Collana Cognitive Technologies
Soggetto topico Artificial intelligence
Machine learning
Information storage and retrieval systems
Computer vision
Python (Computer program language)
Statistics
Artificial Intelligence
Machine Learning
Information Storage and Retrieval
Computer Vision
Python
Bayesian Inference
ISBN 3-031-99928-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Fundamentals of Supervised Learning -- 2. Data-dependent generalization bounds -- 3. Descent direction optimization algorithms -- 4. Deep Learning -- 5. Support Vector Machines -- 6. Boosting -- 7. Semi-supervised Learning -- 8. Learning-To-Rank -- Appendix: Probability reminders.
Record Nr. UNINA-9911034943203321
Amini Massih-Reza  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
AI in Banking : Practical Applications and Case Studies / / by Liyu Shao, Qin Chen, Min He
AI in Banking : Practical Applications and Case Studies / / by Liyu Shao, Qin Chen, Min He
Autore Shao Liyu
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XXII, 354 p. 264 illus., 7 illus. in color.)
Disciplina 006.31
Soggetto topico Machine learning
Artificial intelligence - Data processing
Computer vision
Natural language processing (Computer science)
Biometric identification
Python (Computer program language)
Machine Learning
Data Science
Computer Vision
Natural Language Processing (NLP)
Biometrics
Python
ISBN 981-9638-37-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Smart Marketing -- Chapter 1. Mobile Banking Potential Monthly Active Customer Mining: Automated Machine Learning Techniques -- Chapter 2. Retail Potential High-value Customer Identification: Graph Neural Network Technology -- Chapter 3. Accurate Recommendation for Banking: Recommender System -- Chapter 4. Assessing the Value of Bank Online Marketing Posts: Reinforcement Learning Techniques -- Chapter 5: Modeling Binary Causal Effects of Related Repayments: Causal Inference Techniques -- Part II: Intelligent Risk Control -- Chapter 6. Telecom Fraud Money Laundering Account Recognition Case: Multiple Machine Learning Techniques -- Chapter 7. Developing a Dialectal Speech Phone Collection Bimodal Robot from Scratch: Intelligent Voice Q&A Technology -- Chapter 8. Chattel Collateral Warehouse Visual Monitoring Project: Image Understanding Technology -- Chapter 9. Personal Loan Delinquency Prediction Project: Bayesian Network Techniques -- Part III: Intelligent Operation -- Chapter 10. Enterprise WeChat Private Traffic Customer Cold Start Program: Automated Control Technology -- Chapter 11 Intelligent Inspection Robot for Commercial Bank Data Centers: Computer Vision Technology.
Record Nr. UNINA-9910996487103321
Shao Liyu  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui