Crandi

Scientific Python Lectures Lecture 1 Introduction To Python Programmin

Leo Migdal
-
scientific python lectures lecture 1 introduction to python programmin

There was an error while loading. Please reload this page. Tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert. ScientificPythonLectures.pdf ScientificPythonLectures-simple.pdf On this page you can find all the course material that we use throughout the lectures!

Use the buttons to either view the entire source code for the lecture or download a PDF if you want to make notes. In addition, we supply you with the raw version of the lecture, which shows your each and every command that we used in the live session. Use this if you want to check exactly what was going on in the lecture, but expect errors. In this first lecture we will introduce the Python programming language, make sure that Python was installed correctly and explain some core concepts that you will use throughout the course. You will also learn how to use strings, numbers and use Python as a (very powerful) calculator! Don't be afraid, no previous knowledge is required!

In the second lecture we will show you how to make Python work for you (we are all lazy, after all). You will learn to loop over lists, modify them and create new ones. In addition, you will learn how to control the flow of data using if and else statements. In this third lecture you will learn how to read files from your computer, store the relevant data, process the data and then write them into another file. The slides and code from each lecture are available below. This part of the Scipy lecture notes is a self-contained introduction to everything that is needed to use Python for science, from the language itself, to numerical computing or plotting.

1.1. Python scientific computing ecosystem Learning Scientific Programming with Python (2nd edition) Learning Scientific Programming with Python is intended to help scientists and engineers learn version 3 the Python programming language and its associated NumPy, SciPy, pandas and Matplotlib libraries. No prior programming experience or scientific knowledge in any particular field is assumed. However, familiarity with some mathematical concepts such as trigonometry, complex numbers and basic calculus is helpful to follow the examples and exercises.

This part of the Scientific Python Lectures is a self-contained introduction to everything that is needed to use Python for science, from the language itself, to numerical computing or plotting. 1.1. Python scientific computing ecosystem A set of lectures on scientific computing with Python, using IPython notebooks. To open these notebooks in IPython, download the files to a directory on your computer and from that directory run: This will open a new page in your browser with a list of the available notebooks.

Should this error [TerminalIPythonApp] WARNING | File not found: u'notebook' pop up, please install Jupyter by following the instructions and execute the following command to run the notebook: A PDF file containing all the lectures is available here: Scientific Computing with Python

People Also Search

There Was An Error While Loading. Please Reload This Page.

There was an error while loading. Please reload this page. Tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert. ScientificPythonLectures.pdf ScientificPythonLectures-simple.pdf On this page you can find all the course material t...

Use The Buttons To Either View The Entire Source Code

Use the buttons to either view the entire source code for the lecture or download a PDF if you want to make notes. In addition, we supply you with the raw version of the lecture, which shows your each and every command that we used in the live session. Use this if you want to check exactly what was going on in the lecture, but expect errors. In this first lecture we will introduce the Python progr...

In The Second Lecture We Will Show You How To

In the second lecture we will show you how to make Python work for you (we are all lazy, after all). You will learn to loop over lists, modify them and create new ones. In addition, you will learn how to control the flow of data using if and else statements. In this third lecture you will learn how to read files from your computer, store the relevant data, process the data and then write them into...

1.1. Python Scientific Computing Ecosystem Learning Scientific Programming With Python

1.1. Python scientific computing ecosystem Learning Scientific Programming with Python (2nd edition) Learning Scientific Programming with Python is intended to help scientists and engineers learn version 3 the Python programming language and its associated NumPy, SciPy, pandas and Matplotlib libraries. No prior programming experience or scientific knowledge in any particular field is assumed. Howe...

This Part Of The Scientific Python Lectures Is A Self-contained

This part of the Scientific Python Lectures is a self-contained introduction to everything that is needed to use Python for science, from the language itself, to numerical computing or plotting. 1.1. Python scientific computing ecosystem A set of lectures on scientific computing with Python, using IPython notebooks. To open these notebooks in IPython, download the files to a directory on your comp...