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Da SQL a Python per l'analisi dei dati (Large Print Edition)
Paperback
Publisher Price: $25.00
Publisher: Georgette Kelemaokalani
Published: Jan 21 2026
Pages: 172
Weight: 0.63
Height: 0.37 Width: 7.00 Depth: 9.19
Language: Italian
Frustrato dai limiti di SQL nel mondo reale?
Scrivi già query pulite, unisci tabelle, aggreghi metriche ed esegui report, ma quando il lavoro richiede di più, tutto rallenta. Estrarre file CSV ed Excel, pulire dati sporchi, applicare logica personalizzata che SQL non riesce a gestire in modo elegante, automatizzare analisi ripetitive, creare totali parziali o coorti senza l'incubo della CTE, combinare più fonti o preparare dati per visualizzazioni e apprendimento automatico, il tutto mentre esporti/importi costantemente e cambi strumento. Il tempo scorre. Le informazioni sono in ritardo. Ti senti intrappolato tra la potenza del database e la flessibilità di Python.
Da SQL a Python per l'analisi dei dati: tradurre le query SQL in Python con Pandas è il ponte diretto che ti libera.
Questa guida pratica del 2025 prende tutto ciò che già sai su SQL e lo traduce in codice Pandas pulito e potente. Mantieni la tua intuizione SQL ma ottieni la velocità , l'automazione e l'estendibilità infinita di Python: niente più salti da uno strumento all'altro, niente più vincoli rigidi. Cosa imparerai e applicherai immediatamente:
Traduzioni perfette da SQL a Python: converti filtri SELECT, LIMIT, DISTINCT, WHERE, aggregazioni GROUP BY, funzioni finestra (classificazione, totali parziali, lag/lead), istruzioni CASE e JOIN in operazioni Pandas idiomatiche per un'analisi dei dati di livello superiore.
Lavora con qualsiasi dato, ovunque: carica file CSV, Excel, JSON, API o risultati di query direttamente nei DataFrame di Pandas ed esegui trasformazioni complesse senza mai toccare un database.
Automatizza attività ripetitive: crea script riutilizzabili per dashboard di vendita, segmentazione dei clienti, attribuzione marketing, metriche delle risorse umane e analisi delle tendenze: completa in pochi minuti ciò che prima richiedeva ore.
Passa da principiante a professionista esperto: inizia con le basi di Python e dei DataFrame, quindi padroneggia tecniche avanzate attraverso esempi di codice chiari, scenari reali (e-commerce, vendita al dettaglio, marketing), esercizi e progetti finali. Sblocca un'integrazione di livello superiore: inserisci le tue query SQL tradotte in Python con Pandas direttamente nei grafici Matplotlib/Seaborn, nei modelli Scikit-learn o nei report automatizzati: la tua nuova base per flussi di lavoro di dati moderni.
Nessun sovraccarico teorico. Solo traduzioni pratiche e testate che forniscono risultati fin dalla prima esecuzione.
Smetti di essere limitato da SQL. Inizia a gestire l'intera pipeline di dati.
Acquista subito SQL to Python for Data Analysis: Translating SQL Queries into Python with Pandas e diventa l'analista che fornisce insight più rapidi, approfonditi e preziosi, oggi stesso.
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