De 0 a 1: Aprenda la programación en Python - Fácil como Pie

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De 0 a 1: Aprenda la programación en Python – Fácil como Pie. Una guía accesible a la vez serio de programación Java para todo el mundo

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No te pierdas este fabuloso curso online llamado De 0 a 1: Aprenda la programación en Python – Fácil como Pie. Es 100% online y comenzarás justo en el momento de matricularte. Tú serás el que marques tu propio ritmo de aprendizaje.

Breve descripción del curso llamado De 0 a 1: Aprenda la programación en Python – Fácil como Pie

Una guía accesible a la vez serio de programación Java para todo el mundo

El profesor de este fabuloso curso 100% online es Loony Corn, un auténtico experto en la materia, y con el que aprenderás todo lo necesario para ser más competitivo. El curso se ofrece en Inglés.

Descripción completa del curso llamado De 0 a 1: Aprenda la programación en Python – Fácil como Pie

Course Description What’s Covered:Introductory Python: Functional language constructs; Python syntax; Lists, dictionaries, functions and function objects; Lambda functions; iterators, exceptions and file-handlingDatabase operations: Just as much database knowledge as you need to do data manipulation in PythonAuto-generating spreadsheets: Kill the drudgery of reporting tasks with xlsxwriter; automated reports that combine database operations with spreadsheet auto-generationText processing and NLP: Python’s powerful tools for text processing – nltk and others. Website scraping using Beautiful Soup: Scrapers for the New York Times and Washington PostMachine Learning : Use sk-learn to apply machine learning techniques like KMeans clusteringHundreds of lines of code with hundreds of lines of commentsDrill #1: Download a zip file from the National Stock Exchange of India; unzip and process to find the 3 most actively traded securities for the dayDrill #2: Store stock-exchange time-series data for 3 years in a database. On-demand, generate a report with a time-series for a given stock tickerDrill #3: Scrape a news article URL and auto-summarize into 3 sentencesDrill #4: Scrape newspapers and a blog and apply several machine learning techniques – classification and clustering to theseTalk to us!A Note on the Python versions 2 and 3: The code-alongs in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-alongs. The source code has been provided for both Python 2 and Python 3 wherever possible.Mail us about anything – anything! – and we will always reply 🙂