Python basics is cycle of seminars meant to people interested in programming and also in Data Science. We don’t want to borrow you with a lot of words: like you know a lot of data are available in a lot of fields and Python is the easiest way to work with them and it’s a great way to implement normal coding for usual jobs and it’s also one of best way to start learning programming.
It is not mandatory to know any other programming language before learning Python. If you have time to learn and interest in programming, then you can easily learn Python. The prerequisite for learning Python is basic knowledge of concepts like Variables, Loops, Control Statements that will be introduced shortly.
As you will see, you can start coding now with Python. Besides being awesome, Python should be your first programming language because you will quickly learn how to think like a programmer. Python is very readable. … Instead, you will be able to focus on learning programming concepts and paradigms.
While Python can be more user-friendly than Java, as it has a more intuitive coding style, both languages do have their unique advantages for developers and end users. However, if you are just beginning your path towards a programming career, you might want to start by learning Python, as it is less complex.
This seminar cycle will be one month long with 2 meetings per week. We’ll start from really basic programming until use of function and basic libraries.
Each time we’ll perform exercises and also a test.
At the end we’ll be able to develop an application that we’ll contain all items that we’ve explained and that we’ll put participant able to manage a general programming issue.
To access you’ll need to compile the form available in subscription and maximum number of attendants will be 50.
We’ll start on november 19th until december 12th day the location will be Via della Vasca Navale 84 (on tuesday Aula G – on thursday Aula A).
WiFi connection will be available.
This event is supported by Dipartimento di Matematica e Fisica and Dipartimento di Scienze – Università degli Studi Roma TRE