Download An Introduction to Statistics with Python: With Applications by Thomas Haslwanter PDF

By Thomas Haslwanter

This textbook offers an advent to the unfastened software program Python and its use for statistical information research. It covers universal statistical checks for non-stop, discrete and express facts, in addition to linear regression research and issues from survival research and Bayesian records. operating code and information for Python suggestions for every try out, including easy-to-follow Python examples, might be reproduced via the reader and make stronger their speedy figuring out of the subject. With fresh advances within the Python atmosphere, Python has develop into a well-liked language for medical computing, supplying a strong surroundings for statistical facts research and an engaging substitute to R. The booklet is meant for grasp and PhD scholars, usually from the existence and scientific sciences, with a simple wisdom of statistics. because it additionally presents a few facts historical past, the ebook can be utilized via someone who desires to practice a statistical facts research.

Show description

Read Online or Download An Introduction to Statistics with Python: With Applications in the Life Sciences PDF

Best compilers books

Visual Language Theory

Kim Marriott Bernd Meyer conversation is without doubt one of the hallmarks of people. after we contemplate hu­ guy verbal exchange, most folk first give some thought to spoken and written lan­ guages. those are comparable in that symbols within the language are encountered and processed sequentially, both temporally as they're spoken or as char­ acters are learn throughout a web page.

Languages and Compilers for Parallel Computing: 12th International Workshop, LCPC’99 La Jolla, CA, USA, August 4–6, 1999 Proceedings

In August 1999, the 12th Workshop on Languages and Compilers for P- allel Computing (LCPC) was once hosted by means of the Hierarchical Tiling learn crew from the pc technology and Engineering division on the college of California San Diego (UCSD). The workshop is an annual foreign discussion board for prime learn teams to provide their present examine actions and the newest effects.

Languages and Compilers for Parallel Computing: 27th International Workshop, LCPC 2014, Hillsboro, OR, USA, September 15-17, 2014, Revised Selected Papers

This publication constitutes the completely refereed post-conference lawsuits of the twenty seventh foreign Workshop on Languages and Compilers for Parallel Computing, LCPC 2014, held in Hillsboro, OR, united states, in September 2014. The 25 revised complete papers have been conscientiously reviewed and chosen from 39 submissions.

Scratch by Example: Programming for All Ages

This can be a ebook approximately studying the Scratch language that you should use it in educating and different educational events. The publication explains the visible nature of the language, exhibiting you ways to write down courses through dragging and shedding visible blocks representing universal compute operations. Scratch is visible language that even young ones can grasp.

Extra info for An Introduction to Statistics with Python: With Applications in the Life Sciences

Sample text

DataFrames are the most commonly used pandas objects. DataFrame({'Time':t, 'x':x, 'y':y}) In pandas, rows are addressed through indices and columns through their name. tail() To extract the six rows from 5 to 10, use data[4:10] as 10 4 D 6. (I know, the array indexing takes some time to get used to. ) The handling of DataFrames is somewhat different from the handling of numpy arrays. 5 Pandas: Data Structures for Statistics 37 Finally, sometimes you want to have direct access to the data, not to the DataFrame.

5 Pandas: Data Structures for Statistics 35 I have been working with a number of version control programs, and git is the first one I am really happy with. git is a version control program, and github is a central source code repository. If you are developing computer software, I strongly recommend the use of git. It can be used locally, with very little overhead. And it can also be used to maintain and manage a remote backup copy of the programs. While the real power of git lies in its features for collaboration, I have been very happy with it for my own data and software.

22 2 Python IPython uses Jupyter to provide different interface options, my favorite being the qtconsole: jupyter qtconsole A very helpful addition is the browser-based notebook, with support for code, text, mathematical expressions, inline plots and other rich media. git. 1 First Session with the Qt Console An important aspect of statistical data analysis is the interactive, visual inspection of the data. Therefore I strongly recommend to start the data analysis in the ipython qtonsole. For maximum flexibility, I start my IPython sessions from the command-line, with the command jupyter qtconsole.

Download PDF sample

Rated 4.04 of 5 – based on 19 votes