posted Oct 2020

Author: jsdnhk

.gitignore

@@ -8,6 +8,7 @@ _site/
 .jekyll-metadata
 Gemfile.lock
 .rake_tasks~
+.rakeTasks
 logs/
 
 # npm

.rakeTasks

@@ -1,6 +1,6 @@
 ---
 - name: blog
-  mtime: 29-8-2020
+  mtime: 1-10-2020
 - name: debug
   mtime: 26-2-2020
 - name: fonts
@@ -10,6 +10,6 @@
 - name: quotes
   mtime: 26-2-2020
 - name: resume
-  mtime: 2-2-2020
+  mtime: 30-9-2020
 - name: toolset
   mtime: 9-8-2020

_data/pages_latest.yaml

@@ -0,0 +1,68 @@
+---
+title: "Data Computing and Analysis in Python"
+tags: [python, data]
+category: "python"
+comment: true
+
+---
+
+## Background
+
+Nowdays, Python becomes as an universial language due to its simple, readable, multifunctional and powerful.
+
+In the scientific computing and data analysis scopes, Python is also widely used with high efficency modules.
+
+One agreeable is called [SciPy stack][scipy-about], a collection of open source software for scientific computing in Python.
+
+This stack provide the essential for the purpose, the ecosystem is shown below,
+
+![pydata-ecosystem](/assets/posts/2020-10-01/pydata-ecosystem.png)
+
+Some IT developers may doubt that it cannot provide good performance in Python due to its relatively slow speed.
+
+For this, some Python data scientists used C language also wrote in the best and quickest form.
+
+It leads the operation speed of these packages provided is much faster than using plain Python or even C.
+
+As a result, this packages toolstack becomes the standard in these growing young IT fields.
+
+
+## Packages
+
+The ecosystem contains the layer-by-layer relationship between the packages, they work with each other. 
+
+At the following, we will pick the most remarkable for each layer. Let's lookup from human view.
+
+#### Integrated Development Environment
+
+- **[Spyder][spyder]**: Community-developed, provides excellent support to scientific computing
+
+#### Interactive Shell
+
+- **[IPython][ipython]**: Advanced Python shell with strong development-support features
+
+#### Visualization
+
+- **[Matplotlib][matplotlib]**: Mature and popular 2D and 3D chart plotting library to images
+
+#### Dataframe
+
+- **[pandas][pandas]**: Providing high-performance, easy-to-use data structures
+- **[SciPy(library)][scipy]**: Performing scientific algorithms based on NumPy matrices
+
+#### Dataclass
+
+- **[NumPy][numpy]**: As base datatype of all modules in stack for numerical computation
+
+#### Interpreter
+
+- **[CPython][cpython]**: Implemented by C, most well-known and supporting, as default setting
+
+[scipy-about]:https://www.scipy.org/about.html
+[spyder]: https://www.spyder-ide.org/
+[ipython]: https://ipython.org/
+[matplotlib]: https://matplotlib.org/
+[pandas]:http://pandas.pydata.org/
+[scipy]: https://docs.scipy.org/doc/scipy/reference/
+[numpy]:http://www.numpy.org/
+[cpython]: https://www.python.org/

assets/posts/2020-10-01/pydata-ecosystem.png

@@ -29,7 +29,7 @@ <h3>DevOps</h3>
         <div class="list-card"><span class="exp">since 2014</span>
             <div>
                 <h3>Web Development</h3>
-                <span>Backend: Python Django/Flask, Ruby RoR/Jekyll,<br>Java Spring/JSP&Servlet<br>Frontend: HTML5, SCSS, Javascript(Core, JQuery,<br>Angular, TypeScript), Bootstrap</span>
+                <span>Backend: Python Django/Flask, Ruby RoR/Jekyll,<br>Java Spring/JSP&Servlet<br>Frontend: HTML5, SCSS, Javascript(ES, JQuery,<br>TypeScript, Angular), Bootstrap</span>
             </div>
         </div>
         <div class="list-card"><span class="exp">since 2013</span>
@@ -47,7 +47,7 @@ <h3>Linux Operating System</h3>
         <div class="list-card"> <span class="exp">since 2010</span>
             <div>
                 <h3>Software Development</h3>
-                <span>Python, Ruby, .NET(C#, VB, C/C++), Java, Bash, PHP</span>
+                <span>Python, Ruby, .NET(C#, VB, C/C++), Java, Bash,<br>Powershell, PHP</span>
             </div>
         </div>
     </div>
@@ -56,7 +56,7 @@ <h2 class="section-title">Interests&nbsp;<em class="em em-fire"></em></h2>
         <div class="list-card">
             <div>
                 <h3>Scripting</h3>
-                <span>Ruby2, Python3, Bash5</span></div>
+                <span>Ruby2, Python3, Bash5, Powershell7</span></div>
         </div>
         <div class="list-card">
             <div>