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Python

Istruzioni per l’uso

Flora Amato

Il Corso fornisce i principi di programmazione, le tecniche e gli strumenti di Python, linguaggio interpretato orientato agli oggetti molto utilizzato in molteplici contesti scientifici ed aziendali.

Python è un linguaggio di programmazione di alto livello, supporta diversi paradigmi di programmazione, come il paradigma object-oriented (con supporto all'ereditarietà multipla), imperativo e funzionale. Ha ottenuto un enorme successo nelle comunità dei programmatori grazie al connubio unico tra la semplicità di apprendimento e la potenza offerta dalle sue librerie.

Il Corso fornisce i principi di programmazione, le tecniche e gli strumenti di Python, linguaggio interpretato orientato agli oggetti molto utilizzato in molteplici contesti scientifici ed aziendali.

Questo corso fa parte della Specialization in Data Science con Python e R, cui sarà possibile iscriversi non appena il corso sarà partito.

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What's inside

Syllabus

Python: Istruzioni per l’uso

Nella prima settimana prenderai dimestichezza con il linguaggio di Scripting Python e con gli strumenti disponibili. In particolare verranno presentati gli strumenti - gratuiti nella versione community e disponibili online - per la scrittura e l’esecuzione del codice. Introdurremo I Principi base della Programmazione in Python, e scoprirai come eseguire un interprete Python. Troverai numerosi esempi, esercitazioni e prove di laboratorio.

Funzioni, Moduli e Programmazione ad Oggetti

Come fa Python a gestire le funzioni e la programmazione ad oggetti? In questa settimana settimana conoscerai a fondo i Principi fondamentali della Programmazione orientata agli oggetti. Illustrerò i costrutti delle Classi, degli Oggetti, i Metodi, il meccanismo della Composizione, dell’Ereditarietà, Ereditarietà Multipla, i Costruttori, i Selettori e i Modificatori. Troverai numerosi esempi, esercitazioni e prove di laboratorio.

Funzionalità avanzate

Siamo quasi alla fine! Studiamo gli aspetti avanzati della programmazione Python come la definizione e l’utilizzo di Moduli e Package. Capiamo come gestire Files e accedere a Data Base; e come realizzare il Calcolo Funzionale in Python. Troverai numerosi esempi, esercitazioni e prove di laboratorio.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Insegna gli elementi essenziali della programmazione Python, compresi i concetti fondamentali e le best practice

Sviluppa competenze pratiche nella codifica Python, compresa la scrittura e l'esecuzione di script

Prepara gli studenti con background vari per carriere basate sui dati, favorendo competenze Python

Il corso fa parte di una specializzazione più ampia in Data Science con Python e R, consentendo agli studenti di espandere le proprie conoscenze

Include numerosi esempi, esercitazioni e prove di laboratorio, fornendo opportunità pratiche per applicare le competenze Python

Copre funzionalità avanzate Python, come il lavoro con moduli, database e calcolo funzionale, consentendo agli studenti di approfondire le proprie conoscenze della lingua

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Reviews summary

Python basics with flaws

This course provides an introduction to Python for beginners. It covers basic programming principles as well as functions, modules, and object-oriented programming. While some reviewers found the course to be helpful, others found it to be too basic and rushed, with errors and confusing explanations.

Suitable for beginners with basic computer knowledge.

"Un'introduzione adatta anche ai novizi, presupponendo un livello minimo di lingua inglese e uso del computer."

Complex explanations and confusing exercises.

"... the explanations, the examples and the exercises are too simple or confuse."

Course lacks practical examples.

"L'unica mancanza del corso è forse la mancanza di esempi di uso pratico."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python: Istruzioni per l’uso with these activities:

Review object-oriented programming concepts

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Strengthen understanding of OOP principles and their application in Python.

Browse courses on Object-Oriented Programming

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Review class structures, inheritance, and polymorphism in OOP
Practice implementing OOP concepts in Python code

Review Python programming basics

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Recall basic Python syntax and concepts to prepare for more advanced topics.

Browse courses on Python

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Review Python data types, variables, and operators
Practice writing simple Python programs involving control flow

Build a simple Python script

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Gain hands-on experience by creating a functional Python script that performs a basic task.

Browse courses on Scripting

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Identify a simple task to automate
Design and implement the script using Python functions and modules
Test and refine the script

Three other activities

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Participate in Python study group

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Enhance understanding through discussions, code reviews, and knowledge sharing with peers.

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Join or create a Python study group
Attend regular study sessions
Collaborate on Python projects and assignments

Explore Python libraries for data analysis

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Gain practical experience using Python libraries for data manipulation and visualization.

Browse courses on Python Libraries

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Locate tutorials on using libraries like NumPy, Pandas, and Matplotlib
Follow the tutorials to analyze and visualize sample datasets
Experiment with different library functions and methods

Complete Python coding exercises

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Reinforce Python coding skills by solving problems and implementing algorithms.

Browse courses on Python Coding

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Find online platforms or resources with Python coding exercises
Attempt to solve the exercises independently
Review solutions and identify areas for improvement

Career center

Learners who complete Python: Istruzioni per l’uso will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers design, build, and maintain data pipelines and infrastructure. Python is widely used for data engineering tasks such as data extraction, transformation, and loading (ETL), as well as for building data warehouses and data lakes. This course can help you acquire the Python skills essential for success as a Data Engineer.

See salaries and explore the career path for Data Engineer

Data Analyst

Data Analysts collect, clean, analyze, and interpret data to identify trends, patterns, and insights. Python is an essential tool for data analysis, enabling you to handle large datasets, perform data manipulation and visualization, and build predictive models. Taking this course will enhance your Python skills and strengthen your ability to succeed in this role.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Python is a commonly used language for data science due to its user-friendliness and the availability of powerful libraries like NumPy, Pandas, and Scikit-learn. Python skills can be a valuable asset in this role, and this course provides a foundation for Python programming, enabling you to write and execute code, understand object-oriented programming principles, and work with data using Python.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning algorithms and models. Python is a popular choice for machine learning due to its simplicity, versatility, and the availability of libraries such as TensorFlow and Keras. This course provides a solid foundation in Python programming, enabling you to create and train machine learning models effectively.

See salaries and explore the career path for Machine Learning Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze and interpret financial data. Python is widely employed in quantitative finance for tasks such as data analysis, risk assessment, and portfolio optimization. This course provides a solid foundation in Python programming, helping you develop the technical skills needed to succeed as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Algorithm Engineer

Algorithm Engineers design and analyze algorithms to solve complex problems. Python is a popular language for algorithm development due to its simplicity, efficiency, and the availability of libraries such as NumPy and SciPy. This course can enhance your Python skills, providing you with a solid foundation for pursuing a career as an Algorithm Engineer.

See salaries and explore the career path for Algorithm Engineer

Financial Analyst

Financial Analysts evaluate and interpret financial data to make investment recommendations and provide financial advice. Python is increasingly used in financial analysis for tasks such as data analysis, financial modeling, and portfolio management. This course can provide you with a strong foundation in Python, enabling you to leverage data and technology to excel in financial analysis.

See salaries and explore the career path for Financial Analyst

DevOps Engineer

DevOps Engineers combine software development and IT operations practices to improve the efficiency and reliability of software delivery. Python is a valuable tool for automating tasks, managing infrastructure, and ensuring continuous integration and continuous delivery (CI/CD) pipelines. This course can help you build a strong foundation in Python, enabling you to excel as a DevOps Engineer.

See salaries and explore the career path for DevOps Engineer

Cloud Engineer

Cloud Engineers design, implement, and maintain cloud computing solutions. Python is a popular language for cloud computing due to its versatility and the availability of cloud-related libraries. This course provides a foundation in Python programming, enabling you to build and manage cloud-based applications and infrastructure effectively.

See salaries and explore the career path for Cloud Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications and systems. Python is widely used in web development, data science, machine learning, and other domains. This course introduces you to the fundamentals of Python programming, equipping you with the skills to contribute to software development projects using this highly versatile language.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers design, develop, and maintain websites and web applications. Python is widely used in web development frameworks like Django and Flask. By understanding Python, you can participate in the creation of dynamic and interactive web applications, enhancing your employability in this field.

See salaries and explore the career path for Web Developer

Business Analyst

Business Analysts evaluate business needs and develop solutions to improve efficiency and productivity. Python is increasingly used for data analytics, process automation, and decision support. This course can enhance your Python skills, enabling you to leverage data-driven insights and improve your problem-solving abilities in the field of business analysis.

See salaries and explore the career path for Business Analyst

Research Scientist

Research Scientists conduct scientific research and develop new technologies and products. Python is widely used in various scientific domains, including data analysis, modeling, and simulation. This course can enhance your Python skills, empowering you to contribute to cutting-edge research and development projects.

See salaries and explore the career path for Research Scientist

Product Manager

Product Managers oversee the development and launch of products. While Python is not a typical requirement for Product Managers, understanding the technical aspects of product development can be beneficial. This course provides a foundation in Python programming, enabling you to better understand the technical challenges and opportunities involved in product development.

See salaries and explore the career path for Product Manager

Technical Writer

Technical Writers create and maintain instruction manuals, documentation, and other materials to explain technical concepts. Python is not a common requirement for Technical Writers, but having an understanding of programming can be advantageous. This course can provide you with a basic understanding of Python, enabling you to better comprehend and explain technical concepts in your writing.

See salaries and explore the career path for Technical Writer

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python: Istruzioni per l’uso.

Hands-On Machine Learning with Scikit-Learn, Keras,...

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Questo libro fornisce una guida pratica all'utilizzo di librerie come Scikit-Learn, Keras e TensorFlow per costruire sistemi di apprendimento automatico intelligenti. Copre argomenti come il pretrattamento dei dati, la selezione del modello e la valutazione.

(English) Hands-On Machine Learning with Scikit-Learn, Keras,...

Python

Istruzioni per l’uso

What's inside

Syllabus

Good to know

Save this course

Reviews summary

Python basics with flaws

Activities

Career center

Reading list

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