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a/_sources/syllabus.md b/_sources/syllabus.md index 27e8007..ba485ce 100644 --- a/_sources/syllabus.md +++ b/_sources/syllabus.md @@ -14,40 +14,275 @@ kernelspec: # Syllabus -Jupyter Book also lets you write text-based notebooks using MyST Markdown. -See [the Notebooks with MyST Markdown documentation](https://jupyterbook.org/file-types/myst-notebooks.html) for more detailed instructions. -This page shows off a notebook written in MyST Markdown. +## Course description -## An example cell +This course is designed as a primer to get the complete novice up and +running with the basic knowledge of how to use the programming +language Python in an environment that emphasizes reproducible +research and data analysis. The target audience is anyone who wants +to do their own data analysis. The course will culminate with a +peer-evaluated exploratory data analysis project on either a +pre-specified dataset or your dataset of choice. -With MyST Markdown, you can define code cells with a directive like so: +## Logistics -```{code-cell} -print(2 + 2) -``` +* Course website: +* Prerequisite: basic computer literacy +* Modality: this course run for 5 weeks only. +* Discord server: -When your book is built, the contents of any `{code-cell}` blocks will be -executed with your default Jupyter kernel, and their outputs will be displayed -in-line with the rest of your content. +| | Section 01 | +|-|------------| +|days | TODO | +|time | TODO | +| location | TODO | +|instructor | Edward | +| office location | Holt 204 | +| email | | -```{seealso} -Jupyter Book uses [Jupytext](https://jupytext.readthedocs.io/en/latest/) to convert text-based files to notebooks, and can support [many other text-based notebook files](https://jupyterbook.org/file-types/jupytext.html). -``` +## Canvas usage -## Create a notebook with MyST Markdown +The Course website listed above will be used instead of Canvas. A +link in Canvas leads to this website. -MyST Markdown notebooks are defined by two things: +## Student support -1. YAML metadata that is needed to understand if / how it should convert text files to notebooks (including information about the kernel needed). - See the YAML at the top of this page for example. -2. The presence of `{code-cell}` directives, which will be executed with your book. +### office hours -That's all that is needed to get started! +TODO in Holt 204 -## Quickly add YAML metadata for MyST Notebooks +### Discord -If you have a markdown file and you'd like to quickly add YAML metadata to it, so that Jupyter Book will treat it as a MyST Markdown Notebook, run the following command: +To facilitate peer to peer and effective instructor to peer assistance +Discord will be used for discussion and questions outside of +class. This server hosts students across multiple Statistics and Data +Science classes, with a specific channel for all sections of Math 131. -``` -jupyter-book myst init path/to/markdownfile.md -``` +Click this link to join the server: +https://discord.gg/ck497bJty5. Verify your email and agree to the +rules and code of conduct. This helps create a safe learning +environment. + +Go to the #get-roles text channel in the left sidebar, choose your +pronouns (optional but helpful), and click the Python TODO icon emoji +under the second post to self-assign you to the Math-131 role. This +will let you see and access the class channels. More on how to use +Discord in Week 01. + +### Community Coding + +Similar to drop in Mathematics tutoring hours, students, staff, +faculty, and the public are invited to join our Community Coding +sessions. Bring your computer, coding projects, and your questions to +this open working environment. + +Schedule and info found at . + +## Learning Outcomes + +By the end of the course, students will be able to + +* Import data into Python from external files such as text files and spreadsheets. +* Calculate summary statistics. +* Create new variables using different data types. +* Perform data management techniques such as filtering, grouping, and summarizing/aggregating. +* Create informative data visualizations and tables. +* Create a reproducible research document. +* Conduct an exploratory data analysis in a reproducible manner. + + +## Schedule of Topics + +The general outline of topics is listed below. + +* Week 01 + + * Introduction to the Python language and Google Colab + + * Conducting reproducible research within a Colab notebook using Markdown and Python code + +* Week 02 + + * How to use functions + + * Introduction to data processing + +* Week 03 + + * Univariate Data Visualization using base, and plotnine graphics + + * Data processing and Aggregation with Pandas + +* Week 04 + + * Bivariate and Multivariate Data Visualization using ggplot2 + + * Importing data into Python from external files + +* Week 05 + + * Exploratory Data Analysis (individual project) + +## Required Materials + +* A reliable laptop, chromebook, or tablet that can use a browser to + access the internet. + +* Reliable internet connection while on and off campus. + +Students who do not have a computer (i.e. a iPad or Chromebook) can +use the Wildcat virtual lab + + +## Time commitment + +> For all CSU degree programs and courses bearing academic credit, the +> “credit hour” is defined as … not less than one hour of classroom or +> direct faculty instruction and a minimum of two hours of +> out-of-class student work each week for approximately fifteen weeks +> for one semester or trimester hour of credit. + +This adds up to 15 hours in class, and 30 hours outside of class +during these 5 weeks. That’s 3 hours in class, and 10 hours of +homework per week. If you are new to programming and unfamiliar with +computers, you may end up taking more time. Be sure to schedule +sufficient time during Week 05 to work on the project. + +You will get out of this class what you put into it. Recall this is +just a co-curriculuar or supplemental introductory class. You will +not learn everything there is to know about Python, nor necessarily +feel proficient by the time you are done. But you will be on a better +path towards learning Python than when you started. + +## Grading + +Credit / No Credit. There are 100 points available in this course. You +must earn 75 points to receive credit for the course. + +* Assignments: 4 @ 10 pts each. +* Fill out course notes: 7 @ 5 pts each +* Project: + * Exploratory Data Analysis (20 pts) + * Peer Review (5 pts) + +## Class policies and statements + +### Everyone is welcome here + +It is our intent that students from all diverse backgrounds and +perspectives be well-served by this course, that students’ learning +needs be addressed both in and out of class, and that the diversity +that the students bring to this class be viewed as a resource, +strength and benefit. It is our intent to present materials and +activities that are respectful of diversity: gender identity, +sexuality, disability, age, socioeconomic status, ethnicity, race, +nationality, religion, and culture. Your suggestions are encouraged +and appreciated. Please let us know ways to improve the effectiveness +of the course for you personally, or for other students or student +groups. + +We would like to create a learning environment that supports a +diversity of thoughts, perspectives and experiences, and honors your +identities (including race, gender, class, sexuality, religion, +ability, etc.) To help accomplish this: + +* If you have a name and/or set of pronouns that differ from those + that appear in your official Chico records, please let us know! + +* If you feel like your performance in the class is being impacted by + your experiences outside of class, please don’t hesitate to come and + talk with us. We want to be a resource for you. Remember that you + can also submit anonymous feedback (which may lead to a general + announcement to the class, if necessary to address the + concerns). TODO: set up anonymous feedback + +* If you prefer to speak with someone outside of the course, the + Office of Diversity and Inclusion is here to assist. Their number is + 530-898-4764, and email diversityoffice@csuchico.edu + +* We (like many people) are still in the process of learning about + diverse perspectives and identities. If something was said in class + (by anyone) that made you feel uncomfortable, please talk to me + about it. (Again, anonymous feedback is always an option). + +Adapted from [Monica Linden at Brown University](https://www.brown.edu/sheridan/teaching-learning-resources/inclusive-teaching/statements). + +### Appreciation + +We acknowledge and are mindful that Chico State stands on lands that +were originally occupied by the first people of this area, the +Mechoopda, and we recognize their distinctive spiritual relationship +with this land, the flora, the fauna, and the waters that run through +campus. + +We are humbled that our campus resides upon sacred lands that since +time immemorial have sustained the Mechoopda people and continue to do +so today. + +## University policies and campus resources + +### Adding and dropping the course + +This course only runs for a few weeks and all materials are available +on the course website. It will be difficult to get caught up if you +add the class after the first week. + +### Academic integrity + +Students are expected to be familiar with the University’s Academic +Integrity Policy. Your own commitment to learning, as evidenced by +your enrollment at California State University, Chico, and the +University’s Academic Integrity Policy requires you to be honest in +all your academic course work. Faculty members are required to report +all infractions to the Office of Student Judicial Affairs. The policy +on academic integrity and other resources related to student conduct +can be found on the Student Judicial Affairs web site at +. + +### IT Support Services + +Computer labs for student use are located on the first and fourth +floor of the Meriam Library, Room 116 and 450, Tehama Hall Room 131, +and the Bell Memorial Union (BMU) basement. You can get help using +your computer from IT Support Services; contact them through the ITSS +web site at . Additional labs may be +available to students in your department or college. + +### Americans with Disabilities Act + +If you need course adaptations or accommodations because of a +disability or chronic illness, or if you need to make special +arrangements in case the building must be evacuated, please make an +appointment with me as soon as possible, or see me during office +hours. Please also contact Accessibility Resource Center (ARC) as they +are the designated department responsible for approving and +coordinating reasonable accommodations and services for students with +disabilities. ARC will help you understand your rights and +responsibilities under the Americans with Disabilities Act and provide +you further assistance with requesting and arranging accommodations. + +Accessibility Resource Center 530-898-5959 Student Services Center 170 +arcdept@csuchico.edu + +### Chico State Basic Needs Project + +The Hungry Wildcat Food Pantry provides supplemental food, fresh +produce, CalFresh application assistance and basic needs referral +services for students experiencing food and housing insecurity. + +All students are welcomed to visit the Pantry located in the Student +Service Center 196. Check the website for a location map and for the +most up to date information on open hours: +. + +### Confidentiality and mandatory reporting + +As an instructor, one of my responsibilities is to help create a safe +learning environment on our campus. I also have a mandatory reporting +responsibility related to my role as a your instructor. I am required +to share information regarding sexual misconduct with the +University. Students may speak to someone confidentially by contacting +the Counseling and Wellness Center (898-6345) or Safe Place +(898-3030). Information on campus reporting obligations and other +Title IX related resources are available here: +. diff --git a/_sources/week-01.md b/_sources/week-01.md index 1259e46..26505e7 100644 --- a/_sources/week-01.md +++ b/_sources/week-01.md @@ -14,7 +14,8 @@ kernelspec: # Week 01: Python basics -[Homework 01 (Colab notebook)](https://colab.research.google.com/drive/1hh49hQRkhxcE1ldXCB7QKNkr3RkCiA4J?usp=sharing) +* [Week 01 Notes](https://colab.research.google.com/drive/1VQhUmSxM6WfSw1ZZeKfhkRhkfM9JPXQx?usp=sharing) +* [Week 01 Assignment](https://colab.research.google.com/drive/1h9Ck7kWNN9_I2Yun9Yc4uBoI2lgv6chi?usp=sharing) ## Learning objectives @@ -31,6 +32,15 @@ This lesson is designed to explain the basics of programming in Python. * array * DataFrame, Series, some details +## Preparation + +To follow along with this Lesson, please open the Colab notebook [Week +01 +Notes](https://colab.research.google.com/drive/1VQhUmSxM6WfSw1ZZeKfhkRhkfM9JPXQx?usp=sharing). +The first code cell of this notebook calls to the remote computer, on +which the notebook is running, and installs the necessary packages. +For practice, you are repsonible for importing the necessary packages. + ## Variable A **variable** consists of a name and value, where the name references the @@ -263,11 +273,12 @@ l[::-1] The slice `::-1` says to start at index `0`, go up to the last index, and take steps of size `-1`. Hence, one gets a list in reverse order. -### Dict +### Dictionary -A `dict` indexes its elements with keys. In other computer science worlds, a -Python `dict` might be called an associative container because it associates to -each key a value. +A dictionary indexes its elements with keys. The type of a dictionary +in Python is `dict`. In other computer science worlds, a Python +`dict` might be called an associative container because it associates +to each key a value. ```{code-cell} d = { @@ -582,7 +593,6 @@ diamonds. Notice the `~`, read tilde, in front of `idx`. np.mean(diamonds.loc[~idx, "price"]) ``` - ```{seealso} For more about indexing in Pandas see [Selection by label](https://pandas.pydata.org/docs/user_guide/indexing.html#indexing-label) @@ -590,3 +600,7 @@ and [Selection by position](https://pandas.pydata.org/docs/user_guide/indexing.html#indexing-integer). Such tools have a steep learning curve and a huge payoff. ``` + +```{seealso} +[Week 01 Assignment](https://colab.research.google.com/drive/1h9Ck7kWNN9_I2Yun9Yc4uBoI2lgv6chi?usp=sharing) +``` diff --git a/_sources/week-02.md b/_sources/week-02.md index d79d8d2..5e6d5e2 100644 --- a/_sources/week-02.md +++ b/_sources/week-02.md @@ -14,6 +14,9 @@ kernelspec: # Week 02: Introduction to working with data +* [Week 02 Notes](https://colab.research.google.com/drive/1qHzeZ_1RdfNe1l3KQsZi7xsSjLMVHbel?usp=sharing) +* [Week 02 Assignment](https://colab.research.google.com/drive/1os3hSTKNFblsA1MUTe25pvCjtaKfId30?usp=sharing) + ## Learning objectives In this lesson we learn how to summarize data in a DataFrame, and do basic data @@ -33,7 +36,7 @@ plotnine. ## Preparation To follow along with this Lesson, please open the Colab notebook -[Week-02-Notes](#TODO). The first code cell of this notebook calls to +[Week 02 Notes](https://colab.research.google.com/drive/1qHzeZ_1RdfNe1l3KQsZi7xsSjLMVHbel?usp=sharing). The first code cell of this notebook calls to the remote computer, on which the notebook is running, and installs the necessary packages. For practice, you are repsonible for importing the necessary packages. @@ -91,6 +94,7 @@ which can be undesirable. p = pn.ggplot(data = msleep) + pn.geom_bar(pn.aes("conservation")) p.draw() ``` + To remove the missing data from a plot, create a new DataFrame by dropping the mising data from the column of interest. You should always specify the keyword argument `subset`, lest you drop all @@ -190,7 +194,7 @@ value, it is recycled as much as necessary to create a new column in `msleep` to keep the requirement that every column of a DataFrame has the same size. -Next, we'll create a boolean Series that indicates when an animal +Next, we create a boolean Series that indicates when an animal qualifies as `smrt`. Then, we over-write with the value `True` just those rows for which we've identified a `smrt` animal. Hence, we can edit a variable in a DataFrame using the indexing strategy we learned @@ -258,6 +262,13 @@ msleep.loc[meh_idx, "smrt"] = "meh" msleep["smrt"] ``` +The character `&`, read as ampersand, above is the logical equivalent +of the word and. The character `|`, read as pipe, is the logical +equivalent of the word or. To type an ampersand hold `shift` and +press the number 7 above the letters Y and U on your keyboard. To +type a pipe hold `shift` and press the backslash key, which is in +between `enter/return` and `backspace/delete`. + Did you notice that I added the unused category `"doh"`? On the one hand, this shows that you can add multiple new categories at once, just use a list. On the other hand, you may very well end up with an @@ -268,3 +279,7 @@ remove any unused categories. msleep["smrt"] = msleep["smrt"].cat.remove_unused_categories() msleep["smrt"] ``` + +```{seealso} +[Week 02 Assignment](https://colab.research.google.com/drive/1os3hSTKNFblsA1MUTe25pvCjtaKfId30?usp=sharing) +``` diff --git a/_sources/week-03.md b/_sources/week-03.md index d2eb3dd..ad3cc3b 100644 --- a/_sources/week-03.md +++ b/_sources/week-03.md @@ -14,16 +14,21 @@ kernelspec: # Week 03: Graphing and aggregating +* [Week 03 Notes](https://colab.research.google.com/drive/1HqqhJvfHsWJAj_3dgBt0SOV5E90Sq1pG?usp=sharing) +* [Week 03 Assignment](https://colab.research.google.com/drive/1_ZTWGesIh5DUB_l3UdTmR5KK9AFPEy_9?usp=sharing) + ## Learning outcomes After completing this lesson students will be able to -* create basic data visualizations +* create basic data visualizations using plotnine +* build and execute a chain of commands to accomplish a data management task +* create summary statistics using `groupby` and `aggregate` ## Preparation To follow along with this Lesson, please open the Colab notebook -[Week-03-Notes](#TODO). The first code cell of this notebook calls to +[Week 03 Notes](https://colab.research.google.com/drive/1HqqhJvfHsWJAj_3dgBt0SOV5E90Sq1pG?usp=sharing). The first code cell of this notebook calls to the remote computer, on which the notebook is running, and installs the necessary packages. For practice, you are repsonible for importing the necessary packages. @@ -182,9 +187,10 @@ to the entire table, use `"all"`. pd.crosstab(msleep["conservation"], msleep["vore"], normalize = "all").round(3) ``` -The plot equivalent of a cross tabulated table might be a grouped bar chart. As -of 2023-12-20, the plotting package will yell at you if there are any missing -data, so let's remove the missing data from our two variables of interest first. +The plot equivalent of a cross tabulated table might be a grouped bar +chart. As of 2023-12-20, plotnine will yell at you if there are any +missing data, so let's remove the missing data from our two variables +of interest first. ```{code-cell} df = msleep.dropna(subset = ["conservation_cat_ord", "vore"]) @@ -336,3 +342,7 @@ p = (pn.ggplot(odf) + pn.geom_point(pn.aes(x = odf["vore"].cat.codes, y = "mean"), color = "blue")) p.draw() ``` + +```{seealso} +[Week 03 Assignment](https://colab.research.google.com/drive/1_ZTWGesIh5DUB_l3UdTmR5KK9AFPEy_9?usp=sharing) +``` diff --git a/_sources/week-04.md b/_sources/week-04.md index b4381bb..14da5d3 100644 --- a/_sources/week-04.md +++ b/_sources/week-04.md @@ -16,6 +16,9 @@ kernelspec: # Week 04: Filling in some details +* [Week 04 Notes](https://colab.research.google.com/drive/1FvGDi4MQxNzVOJRk6w07RWy3nnGNNF2K?usp=sharing) +* [Week 04 Assignment](https://colab.research.google.com/drive/1pn-YYBwmYQbjf8gmVyhv2zqPrmvQ4Bxm?usp=sharing) + ## Learning outcomes After completing this lesson, you will be able to @@ -29,7 +32,7 @@ After completing this lesson, you will be able to ## Preparation To follow along with this Lesson, please open the Colab notebook -[Week-04-Notes](https://colab.research.google.com/drive/1FvGDi4MQxNzVOJRk6w07RWy3nnGNNF2K?usp=sharing). The first code cell of this notebook calls to +[Week 04 Notes](https://colab.research.google.com/drive/1FvGDi4MQxNzVOJRk6w07RWy3nnGNNF2K?usp=sharing). The first code cell of this notebook calls to the remote computer, on which the notebook is running, and installs the necessary packages. For practice, you are repsonible for importing the necessary packages. @@ -553,3 +556,7 @@ tags: [raises-exception, remove-output] df = pd.read_csv("./data/research_data.csv") ``` + +```{seealso} +[Week 04 Assignment](https://colab.research.google.com/drive/1pn-YYBwmYQbjf8gmVyhv2zqPrmvQ4Bxm?usp=sharing) +``` diff --git a/help.html b/help.html index 6c30559..046443d 100644 --- a/help.html +++ b/help.html @@ -382,7 +382,7 @@

    Contents

    diff --git a/week-01.html b/week-01.html index 3cabaf4..db6b91c 100644 --- a/week-01.html +++ b/week-01.html @@ -383,12 +383,13 @@

    Contents