Topic: Programming

Overview

Python is one of the preferred programming languages for scientists to solve a wide variety of biological problems. We find that many scientists who come to Software Carpentry workshops use Python and want to learn more about its capabilities.

If you are a novice and want to learn how to program in Python to help you in your work, please join our six-week series of two-hour workshops! Instructors will use live code and you will follow along on your own computer. You will gain a strong foundation in the fundamentals of Python along with best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

NOTE: This is a six-part course, held weekly for 6 weeks from 11 am – 1 pm, with a 20-minute lunch break. When you register, you are registering for all 6 weeks. Please make sure you have time in your schedule to commit to all six sessions!

Registration is required.  Register at this link.  Sign-in information for the Workshops will be provided once registered.

• Week 1, May 10, 2022, 11 a.m. – 1 p.m. ET: Introduction to Python & Colab, Running & Quitting, Variables & Assignment
  • NOTE: A one-hour help session will be offered on May 13, 2022, 11 a.m. – 12 p.m. ET: Getting Started with Google Colab
• Week 2, May 17, 2022, 11 a.m. – 1 p.m. ET: Data Types and Type Conversion, Built-in Functions & Help Libraries
• Week 3, May 24, 2022, 11 a.m. – 1 p.m. ET: Reading Tabular Data into DataFrames, Pandas DataFrames, Plotting 1
• Week 4, May 31, 2022, 11 a.m. – 1 p.m. ET: Plotting 2, Lists, For Loops
• Week 5, June 7, 2022, 11 a.m. – 1 p.m. ET: Conditionals, Looping Over Data Sets, Writing Functions
• Week 6, June 14, 2022, 11 a.m. – 1 p.m. ET: Variable Scope, Programming Style, Wrap-Up

Workshop Recordings and Materials:

• Recordings and Files: https://github.com/CBIIT/python-carpentry-workshop. This page contains last year’s material as well.
• Software Carpentry Lesson: Plotting and programming with Python
• Workshop Webpage at the NCI Data Science Learning Exchange: Introduction to Python A Series of Hands-on Software Carpentry Workshops (2022)

Before the workshop: We will use Google Colab for this workshop. Colab allows us to write and execute Python code through the browser. A Google Account is required for using Colab. If you do not have one, please create a Google Account before the workshop. For technical assistance, contact NCI technical support at https://service.cancer.gov/ncisp.

Presenters: Pinyi Lu, PhD, Data Scientist; Andrew Weisman, PhD, Bioinformatics Analyst; and George Zaki, PhD, Bioinformatics Manager, Frederick National Laboratory for Cancer Research (FNLCR)

Questions? Contact the NCI Data Science Learning Exchange

This is the first class in the NIH Library Introduction to R Series. This class provides a basic overview of the functionality of R programming language and RStudio. R is a programming language and open source environment for statistical computing and graphics. The R class series is a comprehensive collection of training sessions offered by the NIH Library Data Services and Bioinformatics programs that is designed to teach non-programmers how to write modular code and to introduce best practices for using R for data analysis and data visualization. Each class uses both evidence-based best practices for programming and practical hands-on lessons.

By the end of this class, students should be able to: list reasons for using R; describe the purpose of the RStudio Script, Console, Environment, and Plots panes; describe the various methods for finding help on R and RStudio; organize files and directories for a set of analyses as an R Project; define the following terms as they relate to R: object, assign, comment, call, function, and arguments; and assign values to objects in R.

Students are encouraged to install R and RStudio before the class so that they can follow along with the instructor. Please bring your laptop with R and RStudio installed.

Python is one of the preferred programming languages for scientists to solve a wide variety of biological problems. We find that many scientists who come to Software Carpentry workshops use Python and want to learn more about its capabilities.

If you are a novice and want to learn how to program in Python to help you in your work, please join our six-week series of two-hour workshops! Instructors will use live code and you will follow along on your own computer. You will gain a strong foundation in the fundamentals of Python along with best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

NOTE: This is a six-part course, held weekly for 6 weeks from 11 am – 1 pm, with a 20-minute lunch break.

Workshop Recordings and Materials:

• Recordings and Files: https://github.com/CBIIT/python-carpentry-workshop. This page contains last year’s material as well.
• Software Carpentry Lesson: Plotting and programming with Python

Before the workshop: We will use Google Colab for this workshop. Colab allows us to write and execute Python code through the browser. A Google Account is required for using Colab. If you do not have one, please create a Google Account before the workshop. For technical assistance, contact NCI technical support at https://service.cancer.gov/ncisp.

Presenters: Pinyi Lu, PhD, Data Scientist; Andrew Weisman, PhD, Bioinformatics Analyst; and George Zaki, PhD, Bioinformatics Manager, Frederick National Laboratory for Cancer Research (FNLCR)

Questions? Contact the NCI Data Science Learning Exchange

Python is one of the preferred programming languages for scientists to solve a wide variety of biological problems. We find that many scientists who come to Software Carpentry workshops use Python and want to learn more about its capabilities.

If you are a novice and want to learn how to program in Python to help you in your work, please join our six-week series of two-hour workshops! Instructors will use live code and you will follow along on your own computer. You will gain a strong foundation in the fundamentals of Python along with best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

NOTE: This is a six-part course, held weekly for 6 weeks from 11 am – 1 pm, with a 20-minute lunch break. When you register, you are registering for all 6 weeks. Please make sure you have time in your schedule to commit to all six sessions

Workshop Recordings and Materials:

• Recordings and Files: https://github.com/CBIIT/python-carpentry-workshop. This page contains last year’s material as well.
• Software Carpentry Lesson: Plotting and programming with Python
• Workshop Webpage at the NCI Data Science Learning Exchange: Introduction to Python A Series of Hands-on Software Carpentry Workshops (2022)

Before the workshop: We will use Google Colab for this workshop. Colab allows us to write and execute Python code through the browser. A Google Account is required for using Colab. If you do not have one, please create a Google Account before the workshop. For technical assistance, contact NCI technical support at https://service.cancer.gov/ncisp.

Presenters: Pinyi Lu, PhD, Data Scientist; Andrew Weisman, PhD, Bioinformatics Analyst; and George Zaki, PhD, Bioinformatics Manager, Frederick National Laboratory for Cancer Research (FNLCR)

Questions? Contact the NCI Data Science Learning Exchange

Python is one of the preferred programming languages for scientists to solve a wide variety of biological problems. We find that many scientists who come to Software Carpentry workshops use Python and want to learn more about its capabilities.

If you are a novice and want to learn how to program in Python to help you in your work, please join our six-week series of two-hour workshops! Instructors will use live code and you will follow along on your own computer. You will gain a strong foundation in the fundamentals of Python along with best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

NOTE: This is a six-part course, held weekly for 6 weeks from 11 am – 1 pm, with a 20-minute lunch break. When you register, you are registering for all 6 weeks. Please make sure you have time in your schedule to commit to all six sessions!

Workshop Recordings and Materials:

• Recordings and Files: https://github.com/CBIIT/python-carpentry-workshop. This page contains last year’s material as well.
• Software Carpentry Lesson: Plotting and programming with Python
• Workshop Webpage at the NCI Data Science Learning Exchange: Introduction to Python A Series of Hands-on Software Carpentry Workshops (2022)

Before the workshop: We will use Google Colab for this workshop. Colab allows us to write and execute Python code through the browser. A Google Account is required for using Colab. If you do not have one, please create a Google Account before the workshop. For technical assistance, contact NCI technical support at https://service.cancer.gov/ncisp.

Presenters: Pinyi Lu, PhD, Data Scientist; Andrew Weisman, PhD, Bioinformatics Analyst; and George Zaki, PhD, Bioinformatics Manager, Frederick National Laboratory for Cancer Research (FNLCR)

Questions? Contact the NCI Data Science Learning Exchange

Python is one of the preferred programming languages for scientists to solve a wide variety of biological problems. We find that many scientists who come to Software Carpentry workshops use Python and want to learn more about its capabilities.

If you are a novice and want to learn how to program in Python to help you in your work, please join our six-week series of two-hour workshops! Instructors will use live code and you will follow along on your own computer. You will gain a strong foundation in the fundamentals of Python along with best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

NOTE: This is a six-part course, held weekly for 6 weeks from 11 am – 1 pm, with a 20-minute lunch break. When you register, you are registering for all 6 weeks. Please make sure you have time in your schedule to commit to all six sessions!

Workshop Recordings and Materials:

• Recordings and Files: https://github.com/CBIIT/python-carpentry-workshop. This page contains last year’s material as well.
• Software Carpentry Lesson: Plotting and programming with Python
• Workshop Webpage at the NCI Data Science Learning Exchange: Introduction to Python A Series of Hands-on Software Carpentry Workshops (2022)

Before the workshop: We will use Google Colab for this workshop. Colab allows us to write and execute Python code through the browser. A Google Account is required for using Colab. If you do not have one, please create a Google Account before the workshop. For technical assistance, contact NCI technical support at https://service.cancer.gov/ncisp.

Presenters: Pinyi Lu, PhD, Data Scientist; Andrew Weisman, PhD, Bioinformatics Analyst; and George Zaki, PhD, Bioinformatics Manager, Frederick National Laboratory for Cancer Research (FNLCR)

Questions? Contact the NCI Data Science Learning Exchange

Python is one of the preferred programming languages for scientists to solve a wide variety of biological problems. We find that many scientists who come to Software Carpentry workshops use Python and want to learn more about its capabilities.

If you are a novice and want to learn how to program in Python to help you in your work, please join our six-week series of two-hour workshops! Instructors will use live code and you will follow along on your own computer. You will gain a strong foundation in the fundamentals of Python along with best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

NOTE: This is a six-part course, held weekly for 6 weeks from 11 am – 1 pm, with a 20-minute lunch break. When you register, you are registering for all 6 weeks. Please make sure you have time in your schedule to commit to all six sessions!

Workshop Recordings and Materials:

• Recordings and Files: https://github.com/CBIIT/python-carpentry-workshop. This page contains last year’s material as well.
• Software Carpentry Lesson: Plotting and programming with Python
• Workshop Webpage at the NCI Data Science Learning Exchange: Introduction to Python A Series of Hands-on Software Carpentry Workshops (2022)

Before the workshop: We will use Google Colab for this workshop. Colab allows us to write and execute Python code through the browser. A Google Account is required for using Colab. If you do not have one, please create a Google Account before the workshop. For technical assistance, contact NCI technical support at https://service.cancer.gov/ncisp.

Presenters: Pinyi Lu, PhD, Data Scientist; Andrew Weisman, PhD, Bioinformatics Analyst; and George Zaki, PhD, Bioinformatics Manager, Frederick National Laboratory for Cancer Research (FNLCR)

Questions? Contact the NCI Data Science Learning Exchange