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<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 22:05, 2 November 2025</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l63">Line 63:</td> <td colspan="2" class="diff-lineno">Line 63:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Easy visualization of data</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Easy visualization of data</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Supports text, math, and graphics in one notebook</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Supports text, math, and graphics in one notebook</div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">[[Category:Python]]</ins></div></td></tr> </table>

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<p>Created page with &quot;= Installing python = == Installation on linux == Most modern Linux distributions include Python by default. To verify your version: &lt;syntaxhighlight lang=&quot;bash&quot;&gt; python3 --version &lt;/syntaxhighlight&gt; If it is not installed, you can install it using your package manager: &lt;syntaxhighlight lang=&quot;bash&quot;&gt; sudo apt update sudo apt install python3 python3-pip &lt;/syntaxhighlight&gt; == Installation on windows == Go to the official Python website: https://www.python.org/downloads...&quot;</p> <p><b>New page</b></p><div>= Installing python =<br /> <br /> == Installation on linux ==<br /> Most modern Linux distributions include Python by default. To verify your version:<br /> <br /> &lt;syntaxhighlight lang=&quot;bash&quot;&gt; python3 --version &lt;/syntaxhighlight&gt;<br /> <br /> If it is not installed, you can install it using your package manager:<br /> &lt;syntaxhighlight lang=&quot;bash&quot;&gt;<br /> sudo apt update<br /> sudo apt install python3 python3-pip<br /> &lt;/syntaxhighlight&gt;<br /> <br /> == Installation on windows ==<br /> <br /> Go to the official Python website: https://www.python.org/downloads<br /> Download the latest Windows installer.<br /> <br /> Run the installer and make sure to check the option &#039;&#039;&#039;Add Python to PATH&#039;&#039;&#039;.<br /> <br /> After installation, verify it by opening a terminal (cmd or PowerShell):<br /> <br /> &lt;syntaxhighlight lang=&quot;bash&quot;&gt; python --version &lt;/syntaxhighlight&gt;<br /> <br /> You can also install packages using pip:<br /> <br /> &lt;syntaxhighlight lang=&quot;bash&quot;&gt; pip install package_name &lt;/syntaxhighlight&gt;<br /> <br /> = Installing Jupyter Notebook =<br /> <br /> == What is Jupyter ==<br /> &#039;&#039;&#039;Jupyter Notebook&#039;&#039;&#039; is an interactive environment that allows you to combine live code, visualizations, and text in a single document. It is especially useful for data analysis, machine learning, and education.<br /> <br /> == Installation ==<br /> Once Python and pip are installed, you can install Jupyter using:<br /> <br /> &lt;syntaxhighlight lang=&quot;bash&quot;&gt; pip install jupyterlab &lt;/syntaxhighlight&gt;<br /> <br /> To start it:<br /> <br /> &lt;syntaxhighlight lang=&quot;bash&quot;&gt; jupyter lab &lt;/syntaxhighlight&gt;<br /> <br /> This will open a web interface in your browser where you can write and execute Python code interactively.<br /> <br /> = When to use command line or Jupyter =<br /> <br /> == Using the command line ==<br /> <br /> * Running scripts directly (python script.py)<br /> * Automating tasks and system operations<br /> * Working with projects that require performance or command-based workflows<br /> * Integrating with development tools like Git or Docker<br /> * Faster execution for scripts<br /> * Easier integration with automation<br /> * Lower resource usage<br /> <br /> == Using Jupyter ==<br /> <br /> * Data exploration and visualization<br /> * Prototyping and experimentation<br /> * Teaching and sharing results interactively<br /> * Interactive code execution<br /> * Easy visualization of data<br /> * Supports text, math, and graphics in one notebook</div>

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