{"id":4894,"date":"2026-10-01T01:25:41","date_gmt":"2026-09-30T19:55:41","guid":{"rendered":"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/"},"modified":"2026-10-01T01:25:41","modified_gmt":"2026-09-30T19:55:41","slug":"python-tutorial-for-beginners-learn-to-code-step-by-step","status":"publish","type":"post","link":"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/","title":{"rendered":"Python Tutorial for Beginners: Learn to Code Step-by-Step"},"content":{"rendered":"<p><strong>POST-MORTEM REPORT: INCIDENT #8842-OMEGA<\/strong><br \/>\n<strong>DATE:<\/strong> 2024-05-14<br \/>\n<strong>TIME:<\/strong> 03:14:22 EST<br \/>\n<strong>AUTHOR:<\/strong> Murphy, Senior Systems Engineer (Level IV)<br \/>\n<strong>SUBJECT:<\/strong> Total Production Collapse \/ Kernel Panic on Node-04<\/p>\n<hr \/>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_80 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6abddf3533082\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6abddf3533082\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/#1_The_Incident_Log\" >1. The Incident Log<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/#2_The_Autopsy\" >2. The Autopsy<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/#3_The_%E2%80%9CPython_Tutorial%E2%80%9D_for_the_Uninitiated\" >3. The &#8220;Python Tutorial&#8221; for the Uninitiated<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/#Variables_are_not_Boxes\" >Variables are not Boxes<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/#The_List_A_Leaky_Bucket_of_Pointers\" >The List: A Leaky Bucket of Pointers<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/#The_Global_Interpreter_Lock_GIL\" >The Global Interpreter Lock (GIL)<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/#4_The_Refactor\" >4. The Refactor<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/#The_Broken_Code_Kevins_Way\" >The Broken Code (Kevin\u2019s Way)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/#The_Production-Ready_Code_The_Murphy_Way\" >The Production-Ready Code (The Murphy Way)<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/#5_The_Hardware_Reality\" >5. The Hardware Reality<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/#The_Heap_and_the_Garbage_Collector\" >The Heap and the Garbage Collector<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/#Cache_Locality\" >Cache Locality<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/#The_Stack\" >The Stack<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/#6_The_Ultimatum\" >6. The Ultimatum<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/#Related_Articles\" >Related Articles<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"1_The_Incident_Log\"><\/span>1. The Incident Log<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>I was woken up at 03:14 AM by the sound of a pager that has been in service longer than the junior developer who caused this mess. The primary load balancer started screaming about a 502 Gateway Timeout, and by the time I logged into the terminal, Node-04 was already a brick. The kernel was gasping for air.<\/p>\n<pre class=\"codehilite\"><code class=\"language-text\">[ 11642.314159] python3.12 invoked oom-killer: gfp_mask=0x100cca(GFP_HIGHUSER_MOVABLE), order=0, oom_score_adj=0\n[ 11642.314165] CPU: 14 PID: 14208 Comm: python3.12 Tainted: G        W          6.5.0-27-generic #28-Ubuntu\n[ 11642.314168] Hardware name: Dell Inc. PowerEdge R740\/0W23F1, BIOS 2.11.2 04\/12\/2021\n[ 11642.314170] Call Trace:\n[ 11642.314172]  &lt;TASK&gt;\n[ 11642.314175]  dump_stack_lvl+0x48\/0x70\n[ 11642.314183]  dump_header+0x4a\/0x210\n[ 11642.314188]  oom_kill_process+0xec\/0x180\n[ 11642.314193]  out_of_memory+0x11b\/0x5a0\n[ 11642.314201]  __alloc_pages_slowpath.constprop.0+0xad1\/0xd30\n[ 11642.314210]  __alloc_pages+0x32d\/0x350\n[ 11642.314215]  wp_page_copy+0x129\/0x8a0\n[ 11642.314222]  handle_mm_fault+0x92f\/0xe10\n[ 11642.314234]  do_user_addr_fault+0x1d7\/0x630\n[ 11642.314241]  exc_page_fault+0x77\/0x170\n[ 11642.314247]  asm_exc_page_fault+0x26\/0x30\n[ 11642.314252] RIP: 0033:0x7f8a2c4b3a10\n[ 11642.314258] Code: ... (omitted for brevity, but it was a disaster) ...\n[ 11642.314260] RSP: 002b:00007fff5fbff618 EFLAGS: 00010202\n[ 11642.314263] RAX: 0000000000000000 RBX: 000055a1d4e2b010 RCX: 00007f8a2c4b3a10\n[ 11642.314265] RDX: 0000000000000000 RSI: 000055a1d4e2b010 RDI: 00007f8a2c4b3a10\n[ 11642.314267] Out of memory: Kill process 14208 (python3.12) score 942 or sacrifice child.\n[ 11642.314275] Killed process 14208 (python3.12) total-vm:64424508kB, anon-rss:62145820kB, file-rss:0kB, shmem-rss:0kB\n<\/code><\/pre>\n<p>The <strong>Out of Memory (OOM)<\/strong> killer did its job, but the damage was done. Sixty-four gigabytes of virtual memory vanished into the ether because someone thought they were being &#8220;efficient.&#8221;<\/p>\n<hr \/>\n<h2><span class=\"ez-toc-section\" id=\"2_The_Autopsy\"><\/span>2. The Autopsy<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>I tracked down the offending script. It was a &#8220;log processor&#8221; written by our newest junior hire, Kevin. Kevin likes to talk about &#8220;expressive syntax&#8221; and &#8220;functional paradigms.&#8221; He doesn&#8217;t like to talk about <strong>L1 cache misses<\/strong> or <strong>memory fragmentation<\/strong>.<\/p>\n<p>Here is the &#8220;clever&#8221; snippet of <strong>Python 3.12.2<\/strong> code that brought a $20,000 server to its knees:<\/p>\n<pre class=\"codehilite\"><code class=\"language-python\"># Kevin's &quot;Masterpiece&quot;\ndef process_logs(filename):\n    # Load everything into a list comprehension because &quot;it's faster&quot;\n    data = [line.strip().split(',') for line in open(filename, 'r').readlines()]\n\n    # Perform a &quot;clever&quot; transformation\n    processed_data = [\n        { &quot;id&quot;: int(row[0]), &quot;payload&quot;: row[1:], &quot;meta&quot;: &quot;PROCESSED&quot; }\n        for row in data if len(row) &gt; 1\n    ]\n\n    return processed_data\n\n# Triggered on a 12GB log file\nresults = process_logs(&quot;\/var\/log\/heavy_traffic.log&quot;)\n<\/code><\/pre>\n<p>At first glance, a novice might think this is fine. It\u2019s &#8220;Pythonic,&#8221; right? Wrong. It\u2019s a suicide note. Kevin used <code>readlines()<\/code>, which sucks the entire file into memory at once. Then he created a list of lists. Then he created a list of dictionaries. Each of these &#8220;convenient&#8221; abstractions carries a massive overhead in the <strong>CPython<\/strong> runtime. <\/p>\n<p>By the time the interpreter reached the second list comprehension, the <strong>RSS (Resident Set Size)<\/strong> was climbing faster than a Falcon 9. The <strong>garbage collector<\/strong> couldn&#8217;t keep up because the references were all still in scope. The <strong>heap<\/strong> exploded, the <strong>stack<\/strong> was irrelevant, and the kernel had to put the process out of its misery.<\/p>\n<hr \/>\n<h2><span class=\"ez-toc-section\" id=\"3_The_%E2%80%9CPython_Tutorial%E2%80%9D_for_the_Uninitiated\"><\/span>3. The &#8220;Python Tutorial&#8221; for the Uninitiated<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Since it appears we are now hiring people who think RAM is an infinite resource provided by the cloud gods, I am forced to write this <strong>python tutorial<\/strong>. Pay attention, because I am only going to explain how the machine actually works once.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Variables_are_not_Boxes\"><\/span>Variables are not Boxes<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>In a real language like C, a variable is a memory address. In Python, every variable is a pointer to a <strong>PyObject<\/strong> struct on the heap. When you write <code>x = 42<\/code>, you aren&#8217;t putting the number 42 into a slot. You are creating a full-blown object that contains:<br \/>\n1. <code>ob_refcnt<\/code>: A reference count (8 bytes).<br \/>\n2. <code>ob_type<\/code>: A pointer to the type object (8 bytes).<br \/>\n3. <code>ob_value<\/code>: The actual data (for an integer, this is variable-sized).<\/p>\n<p>In <strong>Python 3.12.1<\/strong>, even a small integer takes up 28 bytes of memory. If you have a list of a million integers, you aren&#8217;t using 4MB of RAM; you are using at least 28MB, plus the overhead of the list itself, which is just an array of 8-byte pointers (0x7fff5fbff618 style).<\/p>\n<h3><span class=\"ez-toc-section\" id=\"The_List_A_Leaky_Bucket_of_Pointers\"><\/span>The List: A Leaky Bucket of Pointers<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>A Python list is a dynamic array of pointers. When you use a list comprehension like Kevin did, Python has to pre-allocate space. If the list grows, it over-allocates to avoid constant resizing. <\/p>\n<pre class=\"codehilite\"><code class=\"language-python\">import sys\nempty_list = []\nprint(sys.getsizeof(empty_list)) # 56 bytes for nothing!\n<\/code><\/pre>\n<p>When Kevin ran <code>open(filename).readlines()<\/code>, he created a list where every element was a string object. Each string object has its own overhead (<strong>PEP 393<\/strong> flexible string representation). Then he split those strings into more lists. He was effectively tripling the memory footprint of the raw data before he even started &#8220;processing&#8221; it.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"The_Global_Interpreter_Lock_GIL\"><\/span>The Global Interpreter Lock (GIL)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Kevin tried to &#8220;fix&#8221; the speed issue by wrapping this in a <code>threading.Thread<\/code> call. This is where I almost threw my monitor out the window. <\/p>\n<p>The <strong>Global Interpreter Lock (GIL)<\/strong> is a mutex that prevents multiple native threads from executing Python bytecodes at once. This lock is necessary because <strong>CPython&#8217;s<\/strong> memory management is not thread-safe. If two threads tried to increment the <code>ob_refcnt<\/code> of the same object simultaneously, you\u2019d get a race condition that would corrupt the heap faster than you can say &#8220;segmentation fault.&#8221;<\/p>\n<p>While <strong>PEP 703<\/strong> is making strides toward making the GIL optional, in our current <strong>Python 3.12<\/strong> environment, it is very much alive. Using threads for CPU-bound tasks in Python doesn&#8217;t make things faster; it just adds context-switching overhead and makes the OOM killer\u2019s job easier.<\/p>\n<hr \/>\n<h2><span class=\"ez-toc-section\" id=\"4_The_Refactor\"><\/span>4. The Refactor<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>If Kevin had bothered to read a <strong>python tutorial<\/strong> written by someone who actually understands hardware, he would have used <strong>generators<\/strong>. A generator doesn&#8217;t store the whole result in memory; it yields one item at a time. It\u2019s the difference between trying to swallow a whole cow and taking one bite at a time.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"The_Broken_Code_Kevins_Way\"><\/span>The Broken Code (Kevin\u2019s Way)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<pre class=\"codehilite\"><code class=\"language-python\"># Memory complexity: O(N) where N is file size\n# Time complexity: O(N) but with massive GC pressure\ndef bad_way(path):\n    return [line for line in open(path).readlines()] \n<\/code><\/pre>\n<h3><span class=\"ez-toc-section\" id=\"The_Production-Ready_Code_The_Murphy_Way\"><\/span>The Production-Ready Code (The Murphy Way)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<pre class=\"codehilite\"><code class=\"language-python\">import sys\n\ndef good_way(path):\n    &quot;&quot;&quot;\n    This is how a grown-up processes data. \n    We use a generator expression to keep the memory footprint \n    near zero, regardless of file size.\n    &quot;&quot;&quot;\n    try:\n        with open(path, 'r', encoding='utf-8') as f:\n            for line in f:\n                # 'yield' makes this a generator. \n                # We never load more than one line into RAM.\n                yield line.strip().split(',')\n    except OSError as e:\n        print(f&quot;Hardware failure or file missing: {e}&quot;, file=sys.stderr)\n\n# Usage\nfor row in good_way(&quot;\/var\/log\/heavy_traffic.log&quot;):\n    # Process one row at a time. The CPU stays cool. \n    # The RAM stays empty. Murphy stays asleep.\n    pass\n<\/code><\/pre>\n<p>By using <code>with open(path) as f:<\/code> and iterating over the file object, we utilize the buffer protocol. The file is read in chunks (usually 4KB or 8KB, depending on the OS block size), and we only ever have one line in memory at a time. This is how you handle a 100GB log file on a machine with 8GB of RAM.<\/p>\n<hr \/>\n<h2><span class=\"ez-toc-section\" id=\"5_The_Hardware_Reality\"><\/span>5. The Hardware Reality<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Let&#8217;s talk about what happens at the silicon level. When you use &#8220;clever&#8221; high-level abstractions, you are spit-shining the face of the CPU. <\/p>\n<h3><span class=\"ez-toc-section\" id=\"The_Heap_and_the_Garbage_Collector\"><\/span>The Heap and the Garbage Collector<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Python uses a hybrid of <strong>Reference Counting<\/strong> and a <strong>Cyclic Garbage Collector<\/strong>.<br \/>\n&#8211; <strong>Reference Counting:<\/strong> As soon as an object\u2019s <code>ob_refcnt<\/code> hits zero, the memory is deallocated. This is deterministic and efficient.<br \/>\n&#8211; <strong>Cyclic GC:<\/strong> This handles cases where object A points to object B, and object B points to object A. The GC periodically pauses the world to find these &#8220;islands&#8221; of unreachable objects.<\/p>\n<p>When Kevin created millions of short-lived dictionary objects, he triggered the <strong>Generation 0<\/strong> scan of the GC constantly. This isn&#8217;t free. The CPU has to stop doing actual work to walk the linked list of all tracked objects to see what can be deleted. This causes <strong>cache thrashing<\/strong>. <\/p>\n<h3><span class=\"ez-toc-section\" id=\"Cache_Locality\"><\/span>Cache Locality<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>A modern CPU like the Xeon in Node-04 relies on the <strong>L1, L2, and L3 caches<\/strong>. These caches are fast because they store contiguous blocks of memory. Python\u2019s memory model is the enemy of cache locality. Because everything is a pointer to a <code>PyObject<\/code> scattered across the heap, the CPU is constantly waiting for the memory controller to fetch data from the slow DDR4 RAM. This is called a <strong>pointer chase<\/strong>.<\/p>\n<p>When you use a list comprehension to build a massive list of dictionaries, you are creating a fragmented map of memory that the CPU hates. You are forcing the <strong>TLB (Translation Lookaside Buffer)<\/strong> to work overtime, and you are guaranteeing that the prefetcher has no idea what data is coming next.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"The_Stack\"><\/span>The Stack<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>In a language with discipline, we use the stack for local variables. The stack is fast, local, and automatically cleaned up. In Python, almost everything lives on the heap. Even the frames of your function calls are objects on the heap. When you write deep recursive functions or massive loops with high-level objects, you are bloating the heap and inviting the kernel to kill your process.<\/p>\n<hr \/>\n<h2><span class=\"ez-toc-section\" id=\"6_The_Ultimatum\"><\/span>6. The Ultimatum<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>I have spent thirty years watching languages come and go. I\u2019ve seen Perl scripts that looked like line noise and Java enterprise &#8220;beans&#8221; that consumed more memory than the Apollo 11 guidance computer. Python is a fine tool for glue code and rapid prototyping, but it is a dangerous weapon in the hands of someone who doesn&#8217;t respect the hardware.<\/p>\n<p>To the junior staff:<br \/>\n1. <strong>Stop using <code>readlines()<\/code><\/strong>. If I see it in a PR again, I will revoke your <code>git<\/code> access.<br \/>\n2. <strong>Understand the Iterator Protocol<\/strong>. Learn what <code>__iter__<\/code> and <code>__next__<\/code> do. If you don&#8217;t know how a <code>for<\/code> loop actually works under the hood, you shouldn&#8217;t be writing one.<br \/>\n3. <strong>Respect the GIL<\/strong>. Don&#8217;t throw threads at a problem because you&#8217;re too lazy to write efficient code. If you need true parallelism, use the <code>multiprocessing<\/code> module or, better yet, write a C extension.<br \/>\n4. <strong>Measure your RSS<\/strong>. Use <code>psutil<\/code> or <code>memory_profiler<\/code>. If your script uses more than 500MB of RAM to process a text file, you have failed as an engineer.<\/p>\n<p>If you had spent five minutes on a proper <strong>python tutorial<\/strong>\u2014one that actually discusses memory management and the CPython source code\u2014instead of looking for &#8220;one-liner tricks&#8221; on the internet, I wouldn&#8217;t have been awake at 3:00 AM fixing Node-04.<\/p>\n<p>The next time production goes down because of a &#8220;clever&#8221; list comprehension, I won&#8217;t just restart the service. I&#8217;ll leave it down and let you explain to the CTO why we lost $50,000 in transactions because you wanted to save three lines of code.<\/p>\n<p>Go back to basics. Learn how the memory controller works. Learn how the kernel allocates pages. And for the love of all that is holy, stop loading entire databases into Python lists.<\/p>\n<p><strong>END OF REPORT<\/strong><br \/>\n<strong>Murphy<\/strong><br \/>\n<em>Senior Systems Engineer<\/em><br \/>\n<em>Sent from my VT100 Terminal<\/em><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Related_Articles\"><\/span>Related Articles<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Explore more insights and best practices:<\/p>\n<ul>\n<li><a href=\"https:\/\/itsupportwale.com\/blog\/manual-partition-in-ubuntu-18-04-lts-desktop\/\">Manual Partition In Ubuntu 18 04 Lts Desktop<\/a><\/li>\n<li><a href=\"https:\/\/itsupportwale.com\/blog\/10-essential-aws-best-practices-for-cloud-optimization-4\/\">10 Essential Aws Best Practices For Cloud Optimization 4<\/a><\/li>\n<li><a href=\"https:\/\/itsupportwale.com\/blog\/master-python-code-essential-tips-and-best-practices\/\">Master Python Code Essential Tips And Best Practices<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>POST-MORTEM REPORT: INCIDENT #8842-OMEGA DATE: 2024-05-14 TIME: 03:14:22 EST AUTHOR: Murphy, Senior Systems Engineer (Level IV) SUBJECT: Total Production Collapse \/ Kernel Panic on Node-04 1. The Incident Log I was woken up at 03:14 AM by the sound of a pager that has been in service longer than the junior developer who caused this &#8230; <a title=\"Python Tutorial for Beginners: Learn to Code Step-by-Step\" class=\"read-more\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/\" aria-label=\"Read more  on Python Tutorial for Beginners: Learn to Code Step-by-Step\">Read more<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4894","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Python Tutorial for Beginners: Learn to Code Step-by-Step - ITSupportWale<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/itsupportwale.com\/blog\/python-tutorial-for-beginners-learn-to-code-step-by-step\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python Tutorial for Beginners: Learn to Code Step-by-Step - ITSupportWale\" \/>\n<meta property=\"og:description\" content=\"POST-MORTEM REPORT: INCIDENT #8842-OMEGA DATE: 2024-05-14 TIME: 03:14:22 EST AUTHOR: Murphy, Senior Systems Engineer (Level IV) SUBJECT: Total Production Collapse \/ Kernel Panic on Node-04 1. 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