last changes

Author: glrs

_config.yml

@@ -20,6 +20,7 @@ description: Tasos' project & idea disposer
 
 # List of links in the navigation bar
 navbar-links:
+  Blog: "/"
   About Me: "about"
 #  Resources:
 #    - Beautiful Jekyll: "http://deanattali.com/beautiful-jekyll/"
@@ -39,10 +40,12 @@ avatar: "/img/my_avatar_icon.png"
 
 navbar-col: "#F5F5F5"
 navbar-text-col: "#404040"
+#navbar-text-col: "#FDFEFE"
 navbar-children-col: "#F5F5F5"
 page-col: "#FFFFFF"
 link-col: "#008AFF"
-hover-col: "#0085A1"
+#hover-col: "#0085A1"
+hover-col: "#3498DB"
 footer-col: "#F5F5F5"
 footer-text-col: "#777777"
 footer-link-col: "#404040"
@@ -51,13 +54,13 @@ footer-link-col: "#404040"
 # instead of colour
 
 #navbar-img: "/img/cuadros.png"
-navbar-img: "/img/778.jpg"
-special-img: "/img/778.jpg"
+#navbar-img: "/img/778.jpg"
+#special-img: "/img/778.jpg"
 #special-img: "/img/chalkboard.jpg"
 #footer-img: "/img/squares-960x358.png"
-footer-img: "/img/778.jpg"
+#footer-img: "/img/778.jpg"
 
-xmas-footer-img: "/img/778.jpg"
+#xmas-footer-img: "/img/778.jpg"
 #page-img: "/img/bgimage.png"
 
 # --- Footer options --- #

_data/SocialNetworks_old.yml

@@ -0,0 +1,92 @@
+# You can define your custom social network links here.
+# Use the same key you added in _config.yml -> social-network-links.
+# In addition to that you need to specify the following properties:
+#   name: Specify a user-friendly name that will be used as a link title
+#   baseURL: Define a base URL which will be combined with the value of
+#            site.social-network-links.<key>
+#   icon: Specify a valid fontawesome icon class
+
+facebook:
+  name: "Facebook"
+  baseURL: "https://www.facebook.com/"
+  icon: "fa-facebook"
+
+github:
+  name: "GitHub"
+  baseURL: "https://github.com/"
+  icon: "fa-github"
+
+twitter:
+  name: "Twitter"
+  baseURL: "https://twitter.com/"
+  icon: "fa-twitter"
+
+reddit:
+  name: "Reddit"
+  baseURL: "https://reddit.com/u/"
+  icon: "fa-reddit"
+
+email:
+  name: "Email me"
+  baseURL: "mailto:"
+  icon: "fa-envelope"
+
+linkedin:
+  name: "LinkedIn"
+  baseURL: "https://linkedin.com/in/"
+  icon: "fa-linkedin"
+
+xing:
+  name: "Xing"
+  baseURL: "https://www.xing.com/profile/"
+  icon: "fa-xing"
+
+stackoverflow:
+  name: "StackOverflow"
+  baseURL: "https://stackoverflow.com/users/"
+  icon: "fa-stack-overflow"
+
+snapchat:
+  name: "Snapchat"
+  baseURL: "https://www.snapchat.com/add/"
+  icon: "fa-snapchat-ghost"
+
+instagram:
+  name: "Instagram"
+  baseURL: "https://www.instagram.com/"
+  icon: "fa-instagram"
+
+youtube:
+  name: "YouTube"
+  baseURL: "https://www.youtube.com/"
+  icon: "fa-youtube"
+
+spotify:
+  name: "Spotify"
+  baseURL: "https://open.spotify.com/user/"
+  icon: "fa-spotify"
+
+telephone:
+  name: "Phone"
+  baseURL: "tel:"
+  icon: "fa-phone"
+
+rss:
+  name: "RSS"
+  baseURL: "{{ '/feed.xml' | relative_url }}"
+  icon: "fa-rss"
+
+steam:
+  name: "Steam"
+  baseURL: "https://steamcommunity.com/id/"
+  icon: "fa-steam"
+
+twitch:
+  name: "Twitch"
+  baseURL: "https://www.twitch.tv/"
+  icon: "fa-twitch"
+
+yelp:
+  name: "Yelp"
+  baseURL: "https://{{ site.author.yelp }}.yelp.com"
+  icon: "fa-yelp"

_drafts/GA_Snowboy_RasPi_old.md

@@ -14,11 +14,18 @@
             {%- else -%}
               <a href="{{element.baseURL}}{{ site.social-network-links[curkey] }}" title="{{ element.name }}">
             {%- endif -%}
+
+	    {%- if curkey == 'rss' or curkey == 'email' -%}
+	    {%- assign style = "fas" -%}
+	    {%- else -%}
+	    {%- assign style = "fab" -%}
+	    {%- endif -%}
                 <span class="fa-stack fa-lg" aria-hidden="true">
-                  <i class="fa fa-circle fa-stack-2x"></i>
-                  <i class="fa {{ element.icon }} fa-stack-1x fa-inverse"></i>
-                </span>
-                <span class="sr-only">{{ element.name }}</span>
+		<i class="fa fa-circle fa-stack-2x"></i>
+		  <!-- <i class="fa fa-circle-thin fa-stack-2x"></i> -->
+		  <i class="{{ style }} {{ element.icon }} fa-stack-1x fa-inverse"></i>
+		</span>
+		<span class="sr-only">{{ element.name }}</span>
               </a>
             </li>
           {%- endfor -%}

_drafts/google_assistant-Snowboy-RasPi.md

@@ -3,6 +3,9 @@
   <meta http-equiv="X-UA-Compatible" content="IE=edge">
   <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, viewport-fit=cover">
 
+  <!-- Place your FontAwesome kit's code here -->
+  <script src="https://kit.fontawesome.com/7e3aa6e4c6.js" crossorigin="anonymous"></script>
+
   <title>{% if page.use-site-title %}{{ site.title }} {{ site.title-separator }} {{ site.description }}{% elsif page.title %}{{ page.title }}{% else %}{{ site.title }}{% endif %}</title>
 
   <meta name="author" content="{{ site.author.name }}" />

_includes/footer.html

@@ -14,7 +14,7 @@
   <!--- Share on Twitter -->
     <a href="https://twitter.com/intent/tweet?text={{ page.title | url_encode }}&url={{ page.url | absolute_url | url_encode }}"
       class="btn btn-social-icon btn-twitter" title="Share on Twitter">
-      <span class="fa fa-fw fa-twitter" aria-hidden="true"></span>
+      <span class="fab fa-fw fa-twitter" aria-hidden="true"></span>
       <span class="sr-only">Twitter</span>
     </a>
   {% endif %}
@@ -23,7 +23,7 @@
   <!--- Share on Facebook -->
     <a href="https://www.facebook.com/sharer/sharer.php?u={{ page.url | absolute_url | url_encode }}"
       class="btn btn-social-icon btn-facebook" title="Share on Facebook">
-      <span class="fa fa-fw fa-facebook" aria-hidden="true"></span>
+      <span class="fab fa-fw fa-facebook-f"></span>
       <span class="sr-only">Facebook</span>
     </a>
   {% endif %}
@@ -32,7 +32,7 @@
   <!--- Share on LinkedIn -->
     <a href="https://www.linkedin.com/shareArticle?mini=true&url={{ page.url | absolute_url | url_encode }}"
       class="btn btn-social-icon btn-linkedin" title="Share on LinkedIn">
-      <span class="fa fa-fw fa-linkedin" aria-hidden="true"></span>
+      <span class="fab fa-fw fa-linkedin-in" aria-hidden="true"></span>
       <span class="sr-only">LinkedIn</span>
     </a>
   {% endif %}

_includes/head.html

@@ -4,7 +4,6 @@
   - "/css/bootstrap-social.css"
   - "/css/main.css"
 common-ext-css:
-  - "//maxcdn.bootstrapcdn.com/font-awesome/4.6.0/css/font-awesome.min.css"
 common-googlefonts:
   - "Lora:400,700,400italic,700italic"
   - "Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800"
@@ -13,6 +12,7 @@
   - "/js/bootstrap.min.js"
   - "/js/main.js"
 ---
+<!--  - "//maxcdn.bootstrapcdn.com/font-awesome/4.6.0/css/font-awesome.min.css"-->
 
 <!DOCTYPE html>
 <html lang="en">

_includes/social-share.html

@@ -1,6 +1,7 @@
 ---
 layout: post
 title: Jupyter notebook for personal online access
+tags: guide jupyter-notebook
 published: true
 ---
 

_layouts/base.html

@@ -1,45 +1,32 @@
 ---
 layout: page
 title: About me
-subtitle: A glimpse into my multifaceted personality
+subtitle:
 permalink: /about/
 ---
 
-## Raw facts
-
 <ul class="fa-ul">
-  <li><i class="fa-li fa fa-briefcase" aria-hidden="true"></i>
-I am a Bioinformatician, working at [SciLifeLab] ([Karolinska Institute]), in Stockholm.
+  <li><i class="fa-li fas fa-briefcase"></i>
+Currently, I work as a <b>Bioinformatician</b> at <a href="https://www.scilifelab.se/">SciLifeLab</a> (<a href="https://ki.se/start">Karolinska Institute</a>), in Stockholm.
   </li><br>
 
-  <li><i class="fa-li fa fa-graduation-cap" aria-hidden="true"></i>
-I acquired my MSc in Bioinformatics from Uppsala University, in 2016. Before that, I obtained my BSc in Informatics from the Technological Institute of Central Greece, in 2013.
+  <li><i class="fa-li fas fa-user-graduate" aria-hidden="true"></i>
+I acquired my MSc in <b>Bioinformatics</b> from <a href="https://www.uu.se/en">Uppsala University</a>, in 2016. Before that, I obtained my BSc in <b>Informatics</b> from the <a href="http://www.teiste.gr/">Technological Institute of Central Greece</a>, in 2013.
   </li><br>
 
-  <li><i class="fa-li fa fa-terminal" aria-hidden="true"></i> My favourite programming language is Python. It was love with the first touch. As a bioinformatician I also use a lot of shell scripting and sometimes R. In my personal projects I mostly use Python, C/C++ and rarely Javascript. For deep learning projects I use TensorFlow.
+  <li><i class="fa-li fas fa-code" aria-hidden="true"></i>
+My favourite programming language is <b>Python</b>; it was love with the first touch. As a bioinformatician I also use a lot of <b>shell scripting</b> and sometimes <b>R</b>. On my personal projects I mostly use <b>Python</b>, <b>C/C++</b> and rarely <b>Javascript</b>. For my deep learning projects I almost exclusively use <b>TensorFlow</b>.
   </li><br>
 
-  <li><i class="fa-li fa fa-coffee" aria-hidden="true"></i>
-In my free time I like exploring new AI architectures & techniques. When I feel like changing scenes, I enjoy playing with electronics (from designing and soldering circuits - to programming), networks, databases, etc. Usually, I accompany such projects with some sort of DIY crafting.
+  <li><i class="fa-li fas fa-mug-hot" aria-hidden="true"></i>
+In my free time I like exploring new <b>AI</b> architectures & techniques. When I feel like changing scenes, I enjoy playing with <b>electronics</b> (from designing and soldering circuits - to programming), <b>networks</b>, <b>databases</b>, etc. Usually, I accompany such projects with some sort of <b>DIY crafting</b>.
   </li><br>
-</ul>
-
-Since then, I had a strong feeling that Machine Learning and Deep Learning will be the next big thing. I also had a drive towards data analysis and a passion on putting my hands in dealing with actual issues.
-
-When I presented my ambitions to my bachelor thesis supervisor, [Dr. Dimitris Iakovidis], I was grateful that he presented me with a few great project ideas. I ended up using Complex Event Processing and training a k-NN algorithm to detect multi-signal patterns on EEG data (thesis written in greek; title translates to _"R&D of multi-channel signal analysis methods for knowledge mining"_).
-
-Fast forward to my master's thesis, I was much more educated and hyped by the new advances, so I decided to test the ground on Deep Learning. Under the supervision of [Mikael Huss], one of the most charismatic individuals I've met, I implemented and trained a Neural Network to identify different cell types existed in single cell transcriptomic data. The project title is _"[Data-driven definition of cell types based on single-cell gene expression data]"_.
 
-### More Information
-I am a Machine Learning / Deep Learning enthousiast, so I enjoy thinking about biological solutions in terms of ML/DL. For my master thesis, I developed a Stacked Denoising AutoEncoder algorithm in order to classify (and potentially identify new) cell types (using human & mouse cortex, single cell gene expression data). You can find the code lying somewhere in my repos[.]
-
-
-### Contact me
+  <li><i class="fa-li fas fa-heart"></i>
+The term <b>experience collector</b> describes me best; suggest something new and I'm in. Regularly I play <b>football</b>, go <b>bouldering</b> and <b>dancing</b>. I enjoy watching <b>Formula 1</b> and a wide variety of educational material. Lastly, I'm committed to <b>traveling</b>. I love how eye opening is to explore the world, learn history on sight and meet new cultures.
+  </li><br>
+</ul>
 
+## Contact me
+If there's something interesting you'd like to talk about, click the email button below and hit me up :)
 
-[SciLifeLab]: https://www.scilifelab.se/
-[Karolinska Institute]: https://ki.se/start
-[Dr. Dimitris Iakovidis]: https://is-innovation.eu/iakovidis/
-[Mikael Huss]: https://se.linkedin.com/in/mikaelhuss
-[Data-driven definition of cell types based on single-cell gene expression data]: http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A942241&dswid=-3599
-[.]: https://github.com/glrs/StackedDAE