Searching for "python"

19
Jun
2020

beginners learn Python for Data Science

categories: Digital literacy

My company released a course for helping beginners learn Python for Data Science. This is an initial draft and we do not plan to monetize it any way. Please feel free to help us make it better with your suggestions. from r/programming

Learn Python for Data Science – Full Course

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more on Python on this IMS blog
https://blog.stcloudstate.edu/ims?s=python

13
Jun
2020

Python, Julia, Go, Rust

categories: Digital literacy, educational technology, instructional technology, technology literacy

As Python’s lifetime grinds to a halt, a hot new competitor is emerging

https://towardsdatascience.com/bye-bye-python-hello-julia-9230bff0df62

other languages — the top players being Julia, Go, and Rust. Julia is great for mathematical and technical tasks, while Go is awesome for modular programs, and Rust is the top choice for systems programming.

Since data scientists and AI specialists deal with lots of mathematical problems, Julia is the winner for them.

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Today we're taking a look at when each coding language started. The languages are:⁣ ⁣ C – 1972⁣ C++ – 1980⁣ Python – 1980⁣ HTML – 1980⁣ Java – 1995⁣ JavaScript – 1995⁣ PHP – 1995⁣ C# – 2001⁣ Scala – 2003⁣ GO – 2009⁣ Kotlin – 2011⁣ TypeScript – 2012⁣ ⁣ What language do you use?⁣ ⁣ ⁣ Follow @thecodecrumbs⁣ http://www.thecodecrumbs.com⁣ ⁣ ⁣ #c #cplusplus #python #html #java #javascript #php #csharp #scala #golang #kotlin #typescript #programming #softwaredevelopment #appdevelopment #webdeveloper #devlife #computer #webdevelopment #software #codinglife #machinelearning #programmer #programmers #developers #coding #learnprogramming #developer #dev

A post shared by TheCodeCrumbs | How To Code (@thecodecrumbs) on

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more on Python in this IMS blog
https://blog.stcloudstate.edu/ims?s=python

19
Apr
2020

python to clean data

categories: Digital literacy, educational technology, technology literacy

7 Simple Python Functions to Clean Your Data

Fábio Neves  Jan 9

python

  • Merging all files from a specific folder
  • Edit every file in the same folder and re-save them again
  • Cleaning the header of your datasets
  • Split dataframe columns into two or more columns
  • Filter specific dataframe columns based on their column names
  • Calculate the number of days between two dates
  • Calculate number of weeks/months/years between two dates

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more on python in this IMS blog
https://blog.stcloudstate.edu/ims?s=python

06
Apr
2020

Code in Place free Python course

categories: announcement, Digital literacy, information technology, mobile learning, MOOC, Project Based Learning, technology literacy

Stanford University’s Computer Science department is holding a unique MOOC called ‘Code in Place.’ This is a free course to learn python. It is a live class environment and not a typical video-based curriculum. from r/programming

https://compedu.stanford.edu/codeinplace/announcement/

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more on Python in this IMS blog
https://blog.stcloudstate.edu/ims?s=python

07
May
2018

Software Carpentry Workshop at SCSU Python

categories: Digital literacy, educational technology, information technology, instructional technology

Registration is now open for the workshop: 

>>>>>>>>>  https://ntmoore.github.io/2018-06-02-stcloud/ <<<<<<<<<<<<<

Syllabus:

The Unix Shell

  • Files and directories
  • History and tab completion
  • Pipes and redirection
  • Looping over files
  • Creating and running shell scripts
  • Finding things
  • Reference…

Programming in Python

  • Using libraries
  • Working with arrays
  • Reading and plotting data
  • Creating and using functions
  • Loops and conditionals
  • Defensive programming
  • Using Python from the command line
  • Reference…

 

https://en.wikipedia.org/wiki/GNU_nano

https://swcarpentry.github.io/shell-novice/03-create/

http://pad.software-carpentry.org/2018-06-02-stcloud

Jupyter is IDE https://en.wikipedia.org/wiki/Integrated_development_environment

https://searchcloudcomputing.techtarget.com/definition/Infrastructure-as-a-Service-IaaS

JSON file format where Jupiter data is stored. HMTL and Markdown (simplified HTML).

Panda: https://pandas.pydata.org/

React OS (JS) https://en.wikipedia.org/wiki/ReactOS

 

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more on Software Carpentry workshops on this iMS blog
https://blog.stcloudstate.edu/ims/2017/10/26/software-carpentry-workshop/

16
Feb
2018

Python or R at SCSU

categories: announcement, educational technology, information technology, instructional technology, technology literacy

Dear Colleagues,

Software Carpentry (https://software-carpentry.org/about/) is coming to SCSU campus.

Want to learn basic computer programming skills specifically tailored for academia?
Please consider a FREE two-day workshop on either on Python or on R.

Python is a programming language that is simple, easy to learn for beginners and experienced programmers, and emphasizes readability. At the same time, it comes with lots of modules and packages to add to your programs when you need more sophistication. Whether you need to perform data analysis, graphing, or develop a network application, or just want to have a nice calculator that remembers all your formulas and constants, Python can do it with elegance. https://www.python.org/about/

R (RStudio) is a language and environment for statistical computing and graphics. R provides a wide variety of statistical and graphical techniques. R can produce well-designed publication-quality plots, including mathematical symbols and formulae. https://www.r-project.org/about.html

Both software packages are free and operate on MS Windows, MAC/Apple and GNU/Linux OS.
Besides seamless installation on your personal computer, you can access both software in SCSU computer labs or via SCSU AppsAnywhere.

https://appsanywhere.stcloudstate.edu/vpn/index.html

In an effort to accommodate as many faculty as possible, please indicate whether you want Python or R and check your availability using these Doodle polls:

Python

https://doodle.com/poll/fgf7mn5mze9knaps

R

https://doodle.com/poll/mzirw2nc4kfv9whs

Questions? Suggestions? Please do not hesitate to ask:

zliu@stcloudstate.edu
pmiltenoff@stcloudstate.edu

For more information:
https://blog.stcloudstate.edu/imshttps://blog.stcloudstate.edu/ims/2018/02/16/python-or-r-at-scsu/
https://www.facebook.com/InforMediaServices/
https://twitter.com/SCSUtechinstruc?lang=en  #SoftwareCarpentry

 

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