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->
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Lo trovi qui: Univ. di Salerno | ||
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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
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
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