{"id":1429,"date":"2025-06-29T12:10:41","date_gmt":"2025-06-29T12:10:41","guid":{"rendered":"https:\/\/itxperts.co.in\/blog\/?p=1429"},"modified":"2025-08-02T09:29:29","modified_gmt":"2025-08-02T09:29:29","slug":"cbse-class-10-ai-unit-7-advance-python","status":"publish","type":"post","link":"https:\/\/itxperts.co.in\/blog\/cbse-class-10-ai-unit-7-advance-python\/","title":{"rendered":"Advance Python"},"content":{"rendered":"\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>A. Introduction to Python<\/strong><\/h2>\n\n\n\n<p>Python is a high-level, easy-to-understand programming language. It is widely used in Artificial Intelligence and Machine Learning because of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Simple syntax<\/li>\n\n\n\n<li>Powerful libraries<\/li>\n\n\n\n<li>Community support<\/li>\n<\/ul>\n\n\n\n<p>In this unit, we move beyond basic Python and learn <strong>advanced Python concepts<\/strong> needed in AI projects.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>B. Python Lists (Revision)<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Definition<\/strong>:<\/h3>\n\n\n\n<p>A list is a collection of items enclosed in square brackets <code>[]<\/code>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Example<\/strong>:<\/h3>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopyEdit<code>fruits = ['apple', 'banana', 'orange']\nprint(fruits[0])  # Output: apple\n<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>List Operations<\/strong>:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code>append()<\/code>: Add item to the end of the list<\/li>\n\n\n\n<li><code>insert(index, value)<\/code>: Add item at specific index<\/li>\n\n\n\n<li><code>remove(item)<\/code>: Remove first occurrence<\/li>\n\n\n\n<li><code>pop()<\/code>: Remove and return the last item<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>C. Python Dictionaries<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Definition<\/strong>:<\/h3>\n\n\n\n<p>A dictionary is a collection of <strong>key-value pairs<\/strong>, enclosed in curly braces <code>{}<\/code>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Example<\/strong>:<\/h3>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopyEdit<code>student = {\n    'name': 'Ravi',\n    'age': 15,\n    'grade': '10th'\n}\nprint(student['name'])  # Output: Ravi\n<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Dictionary Methods<\/strong>:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code>keys()<\/code> \u2013 returns all keys<\/li>\n\n\n\n<li><code>values()<\/code> \u2013 returns all values<\/li>\n\n\n\n<li><code>get(key)<\/code> \u2013 returns value of key<\/li>\n\n\n\n<li><code>update()<\/code> \u2013 updates dictionary<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>D. Python Functions<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Definition<\/strong>:<\/h3>\n\n\n\n<p>A function is a block of code that performs a task and can be reused.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Creating a Function<\/strong>:<\/h3>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopyEdit<code>def greet():\n    print(\"Hello!\")\ngreet()  # Output: Hello!\n<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Function with Parameters<\/strong>:<\/h3>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopyEdit<code>def add(a, b):\n    return a + b\nprint(add(5, 3))  # Output: 8\n<\/code><\/pre>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>E. Python Libraries in AI<\/strong><\/h2>\n\n\n\n<p>Python uses <strong>libraries<\/strong> to make tasks easier. Libraries are collections of pre-written code.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Important AI Libraries<\/strong>:<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Library<\/th><th>Use<\/th><\/tr><\/thead><tbody><tr><td>NumPy<\/td><td>Working with arrays, numerical operations<\/td><\/tr><tr><td>Pandas<\/td><td>Working with data tables (DataFrames)<\/td><\/tr><tr><td>Matplotlib<\/td><td>Creating graphs and charts<\/td><\/tr><tr><td>scikit-learn<\/td><td>Machine Learning and model building<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>F. NumPy (Numerical Python)<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Why Use NumPy?<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Fast and memory-efficient<\/li>\n\n\n\n<li>Helps with mathematical calculations on arrays<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Creating an Array<\/strong>:<\/h3>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopyEdit<code>import numpy as np\n\narr = np.array([1, 2, 3, 4])\nprint(arr[2])  # Output: 3\n<\/code><\/pre>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>G. Pandas<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Why Use Pandas?<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Best for working with <strong>tabular data<\/strong> (like Excel files)<\/li>\n\n\n\n<li>Helps with <strong>data cleaning<\/strong>, <strong>filtering<\/strong>, and <strong>exploring<\/strong><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Creating a DataFrame<\/strong>:<\/h3>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopyEdit<code>import pandas as pd\n\ndata = {\n    'Name': ['Amit', 'Neha'],\n    'Marks': [90, 85]\n}\ndf = pd.DataFrame(data)\nprint(df)\n<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Important Pandas Operations<\/strong>:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code>df.head()<\/code> \u2013 first 5 rows<\/li>\n\n\n\n<li><code>df.describe()<\/code> \u2013 summary stats<\/li>\n\n\n\n<li><code>df['column']<\/code> \u2013 access specific column<\/li>\n\n\n\n<li><code>df.loc[row]<\/code> \u2013 access row by label<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>H. Matplotlib<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Why Use It?<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Used for drawing charts and graphs<\/li>\n\n\n\n<li>Helps visualize data easily<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Example \u2013 Bar Graph<\/strong>:<\/h3>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopyEdit<code>import matplotlib.pyplot as plt\n\nx = ['A', 'B', 'C']\ny = [60, 70, 80]\n\nplt.bar(x, y)\nplt.title('Marks of Students')\nplt.xlabel('Students')\nplt.ylabel('Marks')\nplt.show()\n<\/code><\/pre>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>I. Conditional Statements<\/strong><\/h2>\n\n\n\n<p>These are used to make decisions in code.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Syntax<\/strong>:<\/h3>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopyEdit<code>age = 18\nif age &gt;= 18:\n    print(\"Eligible to vote\")\nelse:\n    print(\"Not eligible\")\n<\/code><\/pre>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>J. Loops<\/strong><\/h2>\n\n\n\n<p>Used to repeat a block of code.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>For Loop<\/strong>:<\/h3>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopyEdit<code>for i in range(5):\n    print(i)\n<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>While Loop<\/strong>:<\/h3>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopyEdit<code>count = 0\nwhile count &lt; 3:\n    print(count)\n    count += 1\n<\/code><\/pre>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>K. File Handling (Introduction)<\/strong><\/h2>\n\n\n\n<p>We can read and write data from files.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Example<\/strong>:<\/h3>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopyEdit<code>file = open(\"data.txt\", \"r\")\nprint(file.read())\nfile.close()\n<\/code><\/pre>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>L. Activity Suggestion<\/strong><\/h2>\n\n\n\n<p><strong>Activity<\/strong>:<br>Give students a CSV file with student names and marks.<br>Ask them to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Load it using Pandas<\/li>\n\n\n\n<li>Print the highest mark<\/li>\n\n\n\n<li>Draw a bar graph using Matplotlib<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>M. Keywords to Remember<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Term<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>List<\/td><td>Ordered collection of items<\/td><\/tr><tr><td>Dictionary<\/td><td>Unordered collection of key-value pairs<\/td><\/tr><tr><td>Function<\/td><td>Reusable block of code<\/td><\/tr><tr><td>Library<\/td><td>Pre-written code used to perform tasks<\/td><\/tr><tr><td>NumPy<\/td><td>Library for numerical data<\/td><\/tr><tr><td>Pandas<\/td><td>Library for tabular data<\/td><\/tr><tr><td>Matplotlib<\/td><td>Library for charts and graphs<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>N. Summary of the Unit<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Python is a powerful tool used in AI projects.<\/li>\n\n\n\n<li>We revised <strong>lists<\/strong>, <strong>dictionaries<\/strong>, <strong>functions<\/strong>, and learned about key libraries:\n<ul class=\"wp-block-list\">\n<li><strong>NumPy<\/strong> for arrays<\/li>\n\n\n\n<li><strong>Pandas<\/strong> for tables and datasets<\/li>\n\n\n\n<li><strong>Matplotlib<\/strong> for graphs<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Understanding how to read, process, and visualize data using Python is essential for AI.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>A. Introduction to Python Python is a high-level, easy-to-understand programming language. It is widely used in Artificial Intelligence and Machine Learning because of: In this unit, we move beyond basic Python and learn advanced Python concepts needed in AI projects. B. Python Lists (Revision) Definition: A list is a collection of items enclosed in square [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"googlesitekit_rrm_CAow44u0DA:productID":"","footnotes":""},"categories":[212],"tags":[201],"class_list":["post-1429","post","type-post","status-publish","format-standard","hentry","category-subject-specific-skills-class-10th","tag-aiclass-x"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Advance Python - Itxperts<\/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:\/\/itxperts.co.in\/blog\/cbse-class-10-ai-unit-7-advance-python\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Advance Python - Itxperts\" \/>\n<meta property=\"og:description\" content=\"A. 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