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Setting up the notebook for plotting with matplotlib
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Guillaume Redoulès 2018-08-02 16:08:19 +02:00
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Why using a blockchain is a bad idea for your business
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<time class="published" datetime="2018-02-18T08:51:00+01:00">
18 février 2018
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<h1>What having a blockchain implies?</h1>
<ul>
<li>storage costs : everyone maintaining the ledger needs to store every transaction</li>
<li>bandwith costs : everyone has to broadcast every transaction</li>
<li>computational costs : every node has to validate the blockchain</li>
<li>control : the creator does not control the blockchain, everyone collectively controls it</li>
<li>developpement costs : developping on a blockchain is way harder than on a traditionnal database</li>
</ul>
<h1>What to ask a business when they tell you that they are using a blockchain?</h1>
<p>When a business is telling you about their innovative technology leveraging the power of the blockchain this should immedialty spake some questions :</p>
<ul>
<li>What is the consensus algorithm?</li>
<li>who is responsible for validating the consensus rules?</li>
<li>what is the nature of the participation ?</li>
<li>is it open to access?</li>
<li>is it open to innovation?</li>
<li>is it a public ledger?</li>
<li>is it transparent?</li>
<li>does it improves acountability?</li>
<li>is it cross borders?</li>
<li>how is it validated?</li>
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Setting up the notebook for plotting with matplotlib
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<time class="published" datetime="2018-08-02T15:57:00+02:00">
02 août 2018
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<h1>Importing Matplotlib</h1>
<p>First we need to import pyplot, a collection of command style functions that make matplotlib work like MATLAB. Let's, as well, use the magic command %matplotlib inline in order to display the figures in the notebook</p>
<div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
<span class="o">%</span><span class="n">matplotlib</span> <span class="n">inline</span>
<span class="c1"># this doubles image size, but we&#39;ll do it manually below</span>
<span class="c1"># %config InlineBackend.figure_format = &#39;retina&#39;</span>
</pre></div>
<p>The following parameters are recommended for matplotlib, they will make matplotlib output a better quality image </p>
<div class="highlight"><pre><span></span><span class="c1"># %load snippets/matplot_setup.py</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;savefig.dpi&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">300</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;figure.dpi&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">163</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;figure.autolayout&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">False</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;figure.figsize&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">12</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;axes.labelsize&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">18</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;axes.titlesize&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">20</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;font.size&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">16</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;lines.linewidth&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mf">2.0</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;lines.markersize&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">8</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;legend.fontsize&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">14</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;text.usetex&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">False</span> <span class="c1"># True activates latex output in fonts!</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;font.family&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s2">&quot;serif&quot;</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;font.serif&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s2">&quot;cm&quot;</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;text.latex.preamble&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s2">&quot;</span><span class="se">\\</span><span class="s2">usepackage{subdepth}, </span><span class="se">\\</span><span class="s2">usepackage{type1cm}&quot;</span>
</pre></div>
<p>You can change the second line in order to fit your display. 163 dpi corresponds to a Dell Ultra HD 4k P2715Q. You can check your screen's dpi count at http://dpi.lv/</p>
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