diff --git a/src/app.py b/src/app.py
index 6d715a2..220318c 100644
--- a/src/app.py
+++ b/src/app.py
@@ -10,10 +10,10 @@ books = json.load(open("./static/json/books.json", "r"))
skillList = json.load(open("./static/json/skills.json", "r"))
timeline = json.load(open("./static/json/timeline.json", "r"))
pages = json.load(open("./static/json/pages.json", "r"))
-pages['about']['skillList'] = skillList
-pages['about']['timeline'] = timeline
+pages['home']['skillList'] = skillList
+# pages['about']['timeline'] = timeline
pages['projects']['projects'] = proj
-pages['about']['books'] = books
+pages['home']['books'] = books
pages['books']['books'] = books
app = flask.Flask(__name__)
diff --git a/src/static/css/App.css b/src/static/css/App.css
index 763263f..f0de231 100644
--- a/src/static/css/App.css
+++ b/src/static/css/App.css
@@ -343,6 +343,14 @@ a {
justify-content: space-around;
}
+.equalitems {
+ column-gap: 1em;
+}
+
+.equalitems > * {
+ flex: 1 1 0;
+}
+
.vFlex {
display: flex;
flex-direction: column;
@@ -354,10 +362,6 @@ a {
max-width: 100%;
}
-#aboutCards {
- justify-content: left;
-}
-
#aboutCards > * {
margin: .25em;
}
@@ -370,6 +374,11 @@ a {
justify-content: left;
}
+.hSpacer {
+ width: 2em;
+ height: 0;
+}
+
.relative {
position: relative;
}
@@ -677,6 +686,7 @@ a {
.homeSubContent {
background-color: rgb(24, 24, 24, .85);
padding: 0 8em;
+ padding-top: 1em;
}
#homeProjects {
@@ -1031,6 +1041,10 @@ a {
margin: 0;
}
+ .vertOnMobile {
+ flex-direction: column;
+ }
+
.projectList {
width: 95%;
}
@@ -1056,7 +1070,7 @@ a {
}
.homeSubContent {
- padding: 0;
+ padding: 1em;
}
.onRight {
diff --git a/src/static/json/pages.json b/src/static/json/pages.json
index 2298159..666b9f1 100644
--- a/src/static/json/pages.json
+++ b/src/static/json/pages.json
@@ -11,12 +11,6 @@
"description": "Recent projects by Andrew Simonson on his lovely portfolio website :)",
"canonical": "/projects"
},
- "about": {
- "template": "about.html",
- "title": "Andrew Simonson - About Me",
- "description": "About Andrew Simonson",
- "canonical": "/about"
- },
"books": {
"template": "books.html",
"title": "Andrew Simonson - Bookshelf",
diff --git a/src/static/sitemap.xml b/src/static/sitemap.xml
index 8fc4dbd..ff372c7 100644
--- a/src/static/sitemap.xml
+++ b/src/static/sitemap.xml
@@ -2,9 +2,9 @@
- I'm Andrew Simonson, a
- senior undergrad at
- Rochester Institute of Technology
- in the Computer Science BS program (international relations
- minor), pursuing a career in data science.
-
-
- My philosophy is that if it isn't explainable then you didn't learn anything.
- Data without sound methodology is at best meaningless and at worst
- counterproductive and costly.
- Bringing logical transparency and literal deductions back
- into digital analysis enables us to learn about the world through computing,
- rather than letting computers make decisions for the world we think we know.
- We as data scientists shouldn't just be building heuristics. We should
- be making discoveries and building new knowledge.
-
-
- Bring the scientific method to AI.
-
-
+ I'm Andrew Simonson,
+ a senior undergrad at
+ Rochester Institute of Technology
+ in the Computer Science BS program (international relations
+ minor), pursuing a career in data science. I have study clusters in
+ Data Science and AI and run independent studies in probability theory.
+
+
+ I've worked on a variety of projects, from building analytical tools
+ performing reactive chemical safety to live feed processing for
+ frantic work environments looking to improve service. I also do
+ personal experimentation leveraging open source info streams ranging
+ from human traffic around campus to watershed temperature monitoring.
+
+
+ My philosophy is that if it isn't explainable then you didn't learn
+ anything. Data without sound methodology is at best meaningless and at
+ worst counterproductive and costly. Bringing logical transparency and
+ literal deductions back into digital analysis enables us to learn
+ about the world through computing, rather than letting computers make
+ decisions for the world we think we know. We as data scientists
+ shouldn't just be building heuristics. We should be making discoveries
+ and building new knowledge.
+
+
+ Bring the scientific method to AI.
+
+
+
+