{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[],"dockerImageVersionId":30558,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"### Guideline Map: \n\n##### Previous Notebook:\n###### [Project 2: Loan Credit Prediction](https://www.kaggle.com/code/rouzbeh/loan-credit-prediction)\n\n##### Next Notebook:\n###### [Data Science Libraries in Python: Dive into Python-Section 2](https://www.kaggle.com/code/rouzbeh/dive-into-python-section-2) \n\n##### Course Content:   \n###### [1. Dive into Data Science: Content -->](https://www.kaggle.com/rouzbeh/1-dive-into-ds-content)  \n","metadata":{"_uuid":"c25cd609-8f8b-48bd-9989-dfa1bdc2ebb9","_cell_guid":"0c5eb5de-ba8b-4cb2-994a-9905b944fa79","trusted":true}},{"cell_type":"markdown","source":"# Dive into Python for Data Sccience - Section 1!  \n\n\n![image.png](attachment:992c5fe7-3c6b-48fc-bf76-2718a7936817.png)\n\nPython Source: https://www.python.org/    # version: 2.#, 3.#  \n\n\nRun python on IDEs & Code Editors such as:  \n1. Pycharm, VS Code, Spider, ...\n2. Jupyter Notebook  # https://jupyter.org/  \n3. Kaggle, Google Colab, ...  \n4. and ...\n\nPython Repository: https://pypi.org/    # pip install packagename\n\nUsing python with [google](http://google.com), [Stackoverfolw](http://Stackoverflow.com) and [ChatGPT](http://chat.openai.com)\n\n**Content:**  \n\n*1. Basic Programming:*\n\n* Python Syntax and Variables \n\n* Data Structures\n\n* * List, Dictionaries, Tuples, Set  \n\n\n* Control Structures \n\n* * Conditional Statements, Loops  \n\n\n* Introduction to Functions\n\n*2. Data science Libraries in python:*  \n\n* Install and Import Libraries in Python\n\n* Pandas (Read and manipulate data frame)\n\n* NumPy (Working with arrays and linear algebra)  \n\n* Matplotlib and Seaborn (Visualize data)  \n\n* SciKit-Learn (Preprocessing, modeling and evaluations)  \n 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"}}},{"cell_type":"markdown","source":"## Your First Python Program!","metadata":{}},{"cell_type":"code","source":"print('Hello, \"Dayche\"!')\n","metadata":{"_uuid":"5f373ee2-8674-4fdd-b6f4-9853dc959270","_cell_guid":"891a3308-faac-4e3e-aa0e-23dfea2d530d","collapsed":false,"jupyter":{"outputs_hidden":false},"execution":{"iopub.status.busy":"2024-04-16T14:51:27.789661Z","iopub.execute_input":"2024-04-16T14:51:27.790128Z","iopub.status.idle":"2024-04-16T14:51:27.796647Z","shell.execute_reply.started":"2024-04-16T14:51:27.790091Z","shell.execute_reply":"2024-04-16T14:51:27.795552Z"},"trusted":true},"execution_count":7,"outputs":[{"name":"stdout","text":"Hello, \"Dayche\"!\n","output_type":"stream"}]},{"cell_type":"code","source":"print(\"Hello, Dayche!\")","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:29.963743Z","iopub.execute_input":"2024-04-16T14:51:29.964536Z","iopub.status.idle":"2024-04-16T14:51:29.971839Z","shell.execute_reply.started":"2024-04-16T14:51:29.964498Z","shell.execute_reply":"2024-04-16T14:51:29.970364Z"},"trusted":true},"execution_count":8,"outputs":[{"name":"stdout","text":"Hello, Dayche!\n","output_type":"stream"}]},{"cell_type":"markdown","source":"**Attention:** Both *single-quoted* and *double-quoted* strings are functionally equivalent in Python. You can use either to define strings, and Python will interpret them the same way. The choice between them often comes down to personal preference or the need to include one type of quote within the string itself. For instance, if you want to include a single quote within a single-quoted string or a double quote within a double-quoted string, you can do so without escaping it.","metadata":{}},{"cell_type":"code","source":"print('She said, \"Hello\"!')\nprint(\"He's my friend.\") \nprint('''Question: What is triple Quotes and difference?''')","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:32.038912Z","iopub.execute_input":"2024-04-16T14:51:32.039348Z","iopub.status.idle":"2024-04-16T14:51:32.046968Z","shell.execute_reply.started":"2024-04-16T14:51:32.039313Z","shell.execute_reply":"2024-04-16T14:51:32.045280Z"},"trusted":true},"execution_count":9,"outputs":[{"name":"stdout","text":"She said, \"Hello\"!\nHe's my friend.\nQuestion: What is triple Quotes and difference?\n","output_type":"stream"}]},{"cell_type":"markdown","source":"# 1. Basic Programming:  \n![image.png](attachment:91916fe2-3c38-4201-9aed-5f6e7e4523c0.png)\n\n## 1. 1. Python Syntax and Variables  \n\n### 1. 1. 1. Python Syntax  \n\nUnderstanding Python Syntax, including **indentation** and **code blocks**, as well as **statement termination**, is fundamental to writing Python code correctly.  \n\n**Indentation:** Python uses whitespace (typically four spaces) to indicate the level of indentation. You should be consistent with the amount of indentation throughout your code. Mixing tabs and spaces for indentation can lead to syntax errors.\n\n**Code Blocks:** A code block is a group of statements that are logically related and executed together. In Python, code blocks are created by indenting one or more lines of code under a common parent statement, typically using a colon (:) to indicate the start of the block.  \n\n**statement termination:** In Python, you don't need to explicitly terminate most statements with a semicolon or any other delimiter like you do in some other programming languages. Instead, Python uses line breaks to determine the end of a statement. This means that you can write one statement per line, and Python will automatically recognize the end of each statement.\n\nFor example:","metadata":{},"attachments":{"91916fe2-3c38-4201-9aed-5f6e7e4523c0.png":{"image/png":"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"}}},{"cell_type":"code","source":"a = 5\n\nstatement1\nstatement2\nif condition:\n    # This is the start of a code block\n    statement3\n    statement4\n    # This is the end of the code block\n    \n\n    \nif condition1:\n    # This is the outer code block\n    statement1\n    if condition2:\n        # This is a nested code block\n        statement2\n    # Back to the outer code block\n    statement3; statement4; statement5 \n    # you can use a semicolon (;) to separate multiple statements on a single line","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### 1. 1. 2. Variables and Data Types:  \n\nIn programming, variables are used to store and manipulate data. Python is a dynamically typed language, which means you don't need to declare the data type of a variable explicitly; Python determines it automatically based on the assigned value.  \n\nPython provides various data types to work with different kinds of data. **Numeric types** *(int and float)* are used for numerical calculations, **strings** *(str)* are used for text manipulation, and **booleans** *(bool)* are used for making logical decisions in your programs. Understanding these data types and how to use them is fundamental to writing effective Python code.","metadata":{}},{"cell_type":"markdown","source":"**Numeric Types:**","metadata":{}},{"cell_type":"code","source":"x = 5        # An integer, Examples of integers: -5, 0, 42, 1000.\ny = 2.5      # A floating-point number, Examples of floats: 3.14, -0.001, 1.0e4 \nresult = x + y  # Addition\nprint(result)\nprint(type(x))\nprint(type(y))\nprint(type(result))\n\n","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:46.970519Z","iopub.execute_input":"2024-04-16T14:51:46.970958Z","iopub.status.idle":"2024-04-16T14:51:46.978903Z","shell.execute_reply.started":"2024-04-16T14:51:46.970925Z","shell.execute_reply":"2024-04-16T14:51:46.977605Z"},"trusted":true},"execution_count":10,"outputs":[{"name":"stdout","text":"7.5\n<class 'int'>\n<class 'float'>\n<class 'float'>\n","output_type":"stream"}]},{"cell_type":"markdown","source":"**Arithmetic operations** in Python are mathematical operations that you can perform on numerical data types, such as integers (int) and floating-point numbers (float).","metadata":{}},{"cell_type":"code","source":"a = 10\nb = 3\n\naddition_result = a + b\nsubtraction_result = a - b\nmultiplication_result = a * b\ndivision_result = a / b\nfloor_division_result = a // b\nmodulus_result = a % b\nexponentiation_result = a ** b\n\nprint(addition_result)\n\nprint(\"Addition:\", addition_result)\nprint(\"Subtraction:\", subtraction_result)\n\nprint(\"Multiplication:\", multiplication_result)\nprint(\"Multiplication:\", float(multiplication_result)) # Convert to float type\n\nprint(\"Division:\", division_result)\nprint(\"Division:\", int(division_result)) # Convert to int type\n\nprint(\"Floor Division:\", floor_division_result)\nprint(\"Modulus:\", modulus_result)\nprint(\"Exponentiation:\", exponentiation_result)\n","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:49.924368Z","iopub.execute_input":"2024-04-16T14:51:49.924822Z","iopub.status.idle":"2024-04-16T14:51:49.934689Z","shell.execute_reply.started":"2024-04-16T14:51:49.924790Z","shell.execute_reply":"2024-04-16T14:51:49.933348Z"},"trusted":true},"execution_count":11,"outputs":[{"name":"stdout","text":"13\nAddition: 13\nSubtraction: 7\nMultiplication: 30\nMultiplication: 30.0\nDivision: 3.3333333333333335\nDivision: 3\nFloor Division: 3\nModulus: 1\nExponentiation: 1000\n","output_type":"stream"}]},{"cell_type":"markdown","source":"**String Type:**","metadata":{}},{"cell_type":"code","source":"greeting = \"Hello\" # They are enclosed in either single quotes (') or double quotes (\").\nname = 'Dayche'\nmessage = greeting + \", \" + name  # Concatenation\nprint(message)\nprint(type(greeting))\nprint(type(name))\nprint(type(message))\n\n\na = 777\na = str(a)\nstr_int = message + a\nprint(str_int)","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:54.963886Z","iopub.execute_input":"2024-04-16T14:51:54.964322Z","iopub.status.idle":"2024-04-16T14:51:54.972881Z","shell.execute_reply.started":"2024-04-16T14:51:54.964289Z","shell.execute_reply":"2024-04-16T14:51:54.971560Z"},"trusted":true},"execution_count":12,"outputs":[{"name":"stdout","text":"Hello, Dayche\n<class 'str'>\n<class 'str'>\n<class 'str'>\nHello, Dayche777\n","output_type":"stream"}]},{"cell_type":"code","source":"# String formatting\nformatted_message = f\"Welcome {name}, {greeting} and nice to meet you!\"\nprint(formatted_message)\n\n# String methods\nlength = len(message)            # Get length\n\nupper_case = message.upper()     # Convert to uppercase\nlower_case = message.lower()     # Convert to lowercase\n\nprint(f'lower message \"{lower_case}\" and upper message \"{upper_case}\" are same and length of message is {length}')\n\nmessage.count('c')              # Return the number of substring in string\nmessage.replace('Hello', 'Hi',)  # Return a copy with all occurrences of substring old replaced by new\nmessage.index('Dayche',)         # Return the lowest index in String where substring is found","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:58.859665Z","iopub.execute_input":"2024-04-16T14:51:58.861449Z","iopub.status.idle":"2024-04-16T14:51:58.874495Z","shell.execute_reply.started":"2024-04-16T14:51:58.861388Z","shell.execute_reply":"2024-04-16T14:51:58.872795Z"},"trusted":true},"execution_count":13,"outputs":[{"name":"stdout","text":"Welcome Dayche, Hello and nice to meet you!\nlower message \"hello, dayche\" and upper message \"HELLO, DAYCHE\" are same and length of message is 13\n","output_type":"stream"},{"execution_count":13,"output_type":"execute_result","data":{"text/plain":"7"},"metadata":{}}]},{"cell_type":"markdown","source":"**Boolean Type:**","metadata":{}},{"cell_type":"code","source":"is_raining = True # Booleans represent two values: True and False.\nis_sunny = False\n\nif is_sunny:\n    print(\"You might need an umbrella.\")\nprint(type(is_raining))\nprint(type(is_sunny))\n\ncalc = is_sunny + is_raining # True and False have integer equivalents of 1 and 0.\nprint(calc)\nprint(type(calc)) ","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:52:17.410308Z","iopub.execute_input":"2024-04-16T14:52:17.410739Z","iopub.status.idle":"2024-04-16T14:52:17.418610Z","shell.execute_reply.started":"2024-04-16T14:52:17.410706Z","shell.execute_reply":"2024-04-16T14:52:17.417119Z"},"trusted":true},"execution_count":16,"outputs":[{"name":"stdout","text":"<class 'bool'>\n<class 'bool'>\n1\n<class 'int'>\n","output_type":"stream"}]},{"cell_type":"code","source":"# Logical operations\nresult_and = is_raining and is_sunny  # Logical AND\nresult_or = is_raining or is_sunny  # Logical OR\nresult_not = not is_raining  # Logical NOT\n\nprint(\"Logical AND: \", result_and)\nprint(\"Logical OR: \", result_or)\nprint(\"Logical NOT: \", result_not)","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:52:21.624803Z","iopub.execute_input":"2024-04-16T14:52:21.625203Z","iopub.status.idle":"2024-04-16T14:52:21.632266Z","shell.execute_reply.started":"2024-04-16T14:52:21.625171Z","shell.execute_reply":"2024-04-16T14:52:21.631135Z"},"trusted":true},"execution_count":17,"outputs":[{"name":"stdout","text":"Logical AND:  False\nLogical OR:  True\nLogical NOT:  False\n","output_type":"stream"}]},{"cell_type":"markdown","source":"**Variable Naming Rules:**  \n\n* Variable names can **consist of** *letters* (both lowercase and uppercase), *digits*, and *underscores*.  \n\n* They must **start with** a *letter* (a-z, A-Z) or an *underscore* (_). They cannot start with a digit (0-9). \n\n* Variable names are **case-sensitive**, which means *myVar* and *myvar* are treated as different variables.  \n\n* **Avoid** using Python *reserved words* (keywords) as variable names, e.g., if, for, while, import, etc.  \n\n\n**Example:**  \n** my_variable_name, calculate_total_price()*  \nSnake Case: It's widely used in Python for variable and function names. \n\n** MyVariableName, calculateTotalPrice()*  \nCamle Case: It's often used in naming classes and methods in Python.","metadata":{}},{"cell_type":"markdown","source":"## 1. 2. Data Structures  \nData structures are used to organize and store data efficiently, and they are an essential part of programming. \n\n![image.png](attachment:59ec493f-a72d-4144-8865-c218ac4fa6de.png)\n","metadata":{},"attachments":{"59ec493f-a72d-4144-8865-c218ac4fa6de.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"### 1. 2. 1. List  \n\n**Definition:** Lists are *ordered* collections of items that can be of any data type (including other lists).  \n\n**Creating Lists:** Lists are created by enclosing items in square brackets [], separated by commas or the list() constructor. \n\n**Accessing Elements:** Elements in a list are accessed by their index, starting from 0.  \n\n**Common Operations:** Lists support various operations like adding, removing, and modifying elements.","metadata":{}},{"cell_type":"code","source":"my_list = [7, 2, 3.14, 'Dayche', 'Python', [77, 63]]\nprint(my_list)\nprint(my_list[3])  # Accessing the first element (index 0)\nprint(my_list[-1]) # # Accessing the last element (index -1)\n\nprint(\"Type of my_list is: \", type(my_list))\nprint(f'Type of first element is {type(my_list[0])} and type of forth element is {type(my_list[3])}')","metadata":{"trusted":true},"execution_count":3,"outputs":[{"execution_count":3,"output_type":"execute_result","data":{"text/plain":"[77, 63]"},"metadata":{}}]},{"cell_type":"markdown","source":"**Slicing in list**  \n\nSlicing is a technique in Python used to extract a portion of a list (or other iterable) by specifying a range of indices. Slicing allows you to create a new list that contains a subset of the elements from the original list.\n\n*basic syntax for slicing a list:*  \nnew_list = old_list[start : end : step]  \n\n**new_list:** This is the new list that will contain the sliced elements.  \n\n**old_list:** This is the original list that you want to slice.  \n\n**start:** The index at which the slicing begins (*inclusive*).  \n\n**end:** The index at which the slicing ends (*exclusive*). \n\n**step:** Slice with a step value (*default = 1*)  \n\n\n**Some key points:** \n* Slicing returns a new list containing the elements from the start index up to, but not including, the end index.\n* If start is not specified, it defaults to 0 (the beginning of the list).\n* If end is not specified, it defaults to the length of the list (the end of the list).\n* Slicing does not modify the original list; it creates a new list with a copy of the sliced elements.\n* You can use negative indices for start and end, which count from the end of the list (e.g., -1 represents the last element).\n\n\n![image.png](attachment:3a0263cd-d8b3-429f-a09e-e0c5bc53ee93.png)\n","metadata":{},"attachments":{"3a0263cd-d8b3-429f-a09e-e0c5bc53ee93.png":{"image/png":"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"}}},{"cell_type":"code","source":"my_list = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n\n# Slice from index 2 to 5 (exclusive)\nsubset = my_list[2:5]  # Result: [2, 3, 4]\n\n# Slice from the beginning to index 4 (exclusive)\nsubset = my_list[:4]  # Result: [0, 1, 2, 3]\n\n# Slice from index 5 to the end\nsubset = my_list[5:]  # Result: [5, 6, 7, 8, 9]\n\n# Slice the entire list (create a copy)\ncopy_of_list = my_list[:]  # Result: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n\n# Slice with negative indices (last 3 elements)\nlast_three = my_list[-3:]  # Result: [7, 8, 9]\n\n# Slice with a step value \nodd_values = my_list[1::2]  # Result: [1, 3, 5, 7, 9]\n\n# Inverse List values \ninverse_list = my_list[::-1]  # Result: [9, 8, 7, 6, 5, 4, 3, 2, 1, 0]","metadata":{"trusted":true},"execution_count":7,"outputs":[{"execution_count":7,"output_type":"execute_result","data":{"text/plain":"[2, 3, 4]"},"metadata":{}}]},{"cell_type":"markdown","source":"Lists are a versatile data structure in Python, and they come with a variety of **methods** and **operators** that allow you to *manipulate* and work with lists effectively. Here are some of the most important methods and operators for lists:","metadata":{}},{"cell_type":"code","source":"##---------------------##\n## ُSome list Methods  ##\n##---------------------##\n\nmy_list = [1, 2, 3]\nprint(my_list)\n\nmy_list.append([4, 5])          # append(item): Adds an item to the end of the list.\nprint(\"append result: \", my_list)\n\nrouzbeh = [1, 2, 3]\nrouzbeh.\n\n\nmy_list.extend([4, 5, 6])  # extend(iterable): Appends the elements of an iterable (e.g., another list) to the end of the list.\nprint(\"extend result: \", my_list)\n\n\nmy_list.extend('dayche')   # Attention: String is iterable.\nprint(\"str extend result: \", my_list)\n\nmy_list.insert(1, 4)       # insert(index, item): Inserts an item at a specified index in the list.\nprint(\"insert result: \", my_list)\n\n\nmy_list.remove(4)          # remove(item): Removes the first occurrence of the specified item from the list.\nprint(\"remove result: \", my_list)\n\n\ncount = my_list.count(3)   # count(item): Returns the number of times the specified item appears in the list.\nprint(\"count result: \", count)","metadata":{"trusted":true},"execution_count":9,"outputs":[{"execution_count":9,"output_type":"execute_result","data":{"text/plain":"[1, 2, 3]"},"metadata":{}}]},{"cell_type":"code","source":"##-----------------------##\n## ُSome list Operators  ##\n##-----------------------##\n\nlist1 = [1, 2, 3]             \nlist2 = [4, 5]\n\nresult = list1 + list2        # Concatination\nprint(\"concat result: \", result)\n       \nresult = list1 * 3          # Repeatation\nprint(\"repeat result: \", result)\n\n       \nis_present = 2 in list1       # Membership\nis_not_present = 4 not in list2\nprint('is_present 2 in list1: ', is_present)\nprint('is_not_present 4 in list2: ', is_not_present)\n","metadata":{"trusted":true},"execution_count":37,"outputs":[{"name":"stdout","text":"concat result:  [1, 2, 3, 4, 5]\n","output_type":"stream"}]},{"cell_type":"markdown","source":"### 1. 2. 2. Dictionaries  \n \n**Definition:** Dictionaries are collections of *key-value pairs*. They are unordered and allow you to access values by their keys.  \n\n**Creating Dictionaries:** Dictionaries are created using curly braces {} or the dict() constructor.  \n\n**Accessing Elements:** Values in a dictionary are accessed by their keys.  \n\n**Common Operations:** You can add, remove, and update key-value pairs in a dictionary.","metadata":{}},{"cell_type":"code","source":"my_dict1 = {'name': 'Rouzbeh', 'age': 38, 'city': 'Tehran'}\nprint(\"My name is: \", my_dict1['name'])  # Accessing the value associated with the key 'name'\n\n\n\nmy_dict2 = {'name': ['Rouzbeh', 'Ali'], 'age': [38, 25], 'city': ['Tehran', 'Sari']}\nprint(\"City List: \", my_dict2['city'])  # Accessing the values associated with the key 'city'","metadata":{"trusted":true},"execution_count":39,"outputs":[{"name":"stdout","text":"City List:  ['Tehran', 'Sari']\n","output_type":"stream"}]},{"cell_type":"markdown","source":"Dictionaries in Python are versatile data structures that allow you to store and manipulate key-value pairs. They come with various **methods** and **operators** for common dictionary operations.","metadata":{}},{"cell_type":"code","source":"##-----------------------------##\n## ُSome Dictionaries Methods  ##\n##-----------------------------##\n\nmy_dict = {'name': 'Rouzbeh', 'age': 38, 'city': 'Tehran'}\nprint(\"My dict: \", my_dict)\n\nname = my_dict.get('name'); print(\"My name is: \", name)  # get(key, default): Retrieves the value associated with the specified key.\ncountry = my_dict.get('country', 'other'); print(\"My country is: \", country)\n\n\nkeys = my_dict.keys()   # keys(): Returns a list of all the keys in the dictionary.\nprint(\"My features list: \", keys)\n\n\nvalues = my_dict.values()  # values(): Returns a list of all the values in the dictionary.\nprint(\"My values list: \", values)\n\n\nother_dict = {'country': 'Iran'}   # update(other_dict): Updates the dictionary with key-value pairs from another dictionary or an iterable of key-value pairs.\nmy_dict.update(other_dict)\nprint(\"My updated dict: \", my_dict)\n\nnew_dict = my_dict.copy()\nprint(new_dict)","metadata":{"trusted":true},"execution_count":45,"outputs":[{"name":"stdout","text":"My values list:  dict_values(['Rouzbeh', 38, 'Tehran'])\n","output_type":"stream"}]},{"cell_type":"code","source":"##-------------------------------##\n## ُSome Dictionaries Operators  ##\n##-------------------------------##\n\nmy_dict = {'name': 'Rouzbeh', 'age': 38, 'city': 'Tehran', 'country': 'Iran'}\nprint(\"My dict: \", my_dict)\n\n\nhas_name = 'name' in my_dict                # in and not in: Allows you to check if a key is present in the dictionary.\nhas_country = 'country' not in my_dict\nprint(\"has name in my dict: \", has_name)\nprint(\"has country NOT in my dict: \", has_country)\n\n\nnum_items = len(my_dict)                    # len(): Returns the number of key-value pairs in the dictionary.\nprint(\"Number of items in my dict: \", num_items)","metadata":{"execution":{"iopub.status.busy":"2024-04-16T15:02:36.590590Z","iopub.execute_input":"2024-04-16T15:02:36.590970Z","iopub.status.idle":"2024-04-16T15:02:36.600051Z","shell.execute_reply.started":"2024-04-16T15:02:36.590942Z","shell.execute_reply":"2024-04-16T15:02:36.598625Z"},"trusted":true},"execution_count":46,"outputs":[{"name":"stdout","text":"My dict:  {'name': 'Rouzbeh', 'age': 38, 'city': 'Tehran', 'country': 'Iran'}\nhas name in my dict:  True\nhas country NOT in my dict:  False\nNumber of items in my dict:  4\n","output_type":"stream"}]},{"cell_type":"markdown","source":"### 1. 2. 3. Tuples  \n\n**Definition:** Tuples are *ordered* and *immutable* collections of elements. Once created, their contents cannot be changed.  \n\n**Creating Tuples:** Tuples are created by enclosing elements in parentheses (), separated by commas or the tuple() constructor.  \n\n**Accessing Elements:** Elements in a tuple are accessed by their index, starting from 0.  \n\n**Common Use Cases:** Tuples are often used to represent data that should not be modified after creation.  \n\n","metadata":{}},{"cell_type":"code","source":"# Creating a tuple to represent a 2D point\npoint = (3, 4)\n\nx = point[0]  # Accessing the x-coordinate (index 0)\ny = point[1]  # Accessing the y-coordinate (index 1)\n\nt, z = point  # Unpacking the point tuple\n\nprint (\"x = \", x)\nprint (\"y = \", y)\nprint (\"t = \", t)\nprint (\"z = \", z)","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:12.353652Z","iopub.status.idle":"2024-04-16T14:51:12.354695Z","shell.execute_reply.started":"2024-04-16T14:51:12.354435Z","shell.execute_reply":"2024-04-16T14:51:12.354469Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"tuples are **immutable**, which means you *cannot modify* their elements once they are created. If you need to change a tuple, you'll create a new one with the desired modifications.  \n\nTuples are often used when you need to represent a fixed collection of values that should not change, such as **coordinates**, **database records**, or **function return values**.","metadata":{}},{"cell_type":"code","source":"##-------------------##\n## ُMutable Concept  ##\n##-------------------##\n\na = [1, 2, 3]\nprint(\"original a: \", a)\nb = a\nprint(\"original b: \", b)\nb.append(4)\nprint(\"new b: \", b)\nprint(\"again a: \", a)\n\nc = b.copy()   # Create a new list from b\nc.append(5)\nprint(\"new c: \", c)\nprint(\"again new b: \", b)","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:12.356778Z","iopub.status.idle":"2024-04-16T14:51:12.357516Z","shell.execute_reply.started":"2024-04-16T14:51:12.357146Z","shell.execute_reply":"2024-04-16T14:51:12.357177Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### 1. 2. 4. Set  \n\n**Definition:** Sets are *unordered* collections of *unique elements*. They do not allow duplicate values.  \n\n**Creating Sets:** Sets are created by enclosing elements in curly braces {} or by using the set() constructor.  \n\n**Common Operations:** You can perform set operations like union, intersection, and difference on sets.  \n","metadata":{}},{"cell_type":"code","source":"# Creating a set of unique numbers with {} or set()\nmy_set = {1, 2, 3, 4, 5}\nprint(\"My set: \", my_set)\n\n\n##---------------##\n## ُSet Methods  ##\n##---------------##\n\nmy_set.add(6)        # Add an element\nprint(\"Add to my set: \", my_set)\n\nmy_set.remove(3)     # Remove an element (raises an error if not found)\nprint(\"Remove from my set: \", my_set)\n\nmy_set.discard(7)    # Remove an element (no error if not found)\n\nprint(\"Discard from my set: \", my_set)\n","metadata":{"execution":{"iopub.status.busy":"2024-04-16T15:26:47.490869Z","iopub.execute_input":"2024-04-16T15:26:47.491312Z","iopub.status.idle":"2024-04-16T15:26:47.500491Z","shell.execute_reply.started":"2024-04-16T15:26:47.491281Z","shell.execute_reply":"2024-04-16T15:26:47.498812Z"},"trusted":true},"execution_count":47,"outputs":[{"name":"stdout","text":"My set:  {1, 2, 3, 4, 5}\nAdd to my set:  {1, 2, 3, 4, 5, 6}\nRemove from my set:  {1, 2, 4, 5, 6}\nDiscard from my set:  {1, 2, 4, 5, 6}\n","output_type":"stream"}]},{"cell_type":"code","source":"##-----------------##\n## ُSet Operators  ##\n##-----------------##\n\nset1 = {1, 2, 3, 4}\nset2 = {3, 4, 5, 6}\n\nunion_set = set1 | set2         # Union: {1, 2, 3, 4, 5, 6}\nprint(\"Union set: \", union_set)\n\nintersection_set = set1 & set2  # Intersection: {3, 4}\nprint(\"Intersection set: \", intersection_set)\n\ndifference_set = set1 - set2   # Difference: {1, 2}\nprint(\"Difference set: \", difference_set)\n\n\nprint('=' * 50)\n#==========================================================================#\n\n# Removing Duplicates from a List\nnames = [\"Python\", \"Data\", \"Dayche\", \"Dayche\", \"Python\"]\nunique_names = set(names)\nprint(f'Name list is {names} and the unique set of values is {unique_names}')","metadata":{"trusted":true},"execution_count":12,"outputs":[{"execution_count":12,"output_type":"execute_result","data":{"text/plain":"{3, 4, 5, 6}"},"metadata":{}}]},{"cell_type":"markdown","source":"## 1. 3. Control Structures\nControl structures in programming are used to control the flow of a program's execution. They allow you to **make decisions**, **repeat tasks**, and execute code based on certain conditions. The two primary types of control structures are **conditional statements** and **loops**.  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"}}},{"cell_type":"markdown","source":"### 1. 3. 1. Conditional Statement  \n\nConditional statements are used to execute different blocks of code based on specific conditions. In Python, the most common conditional statements are **if**, **elif** (short for \"else if\"), and **else**.  \n","metadata":{}},{"cell_type":"code","source":"##----------------##\n## ُif statement  ##\n##----------------##\n\ndrug = 'Drug Y'\n\nif drug == 'Drug Y':                              # Condithion: boolean (True or Flase)\n    print(f'{drug} is prescribed for colds!')\n\nprint(\"Next Statement..\")","metadata":{"execution":{"iopub.status.busy":"2024-07-21T15:57:36.781562Z","iopub.execute_input":"2024-07-21T15:57:36.782265Z","iopub.status.idle":"2024-07-21T15:57:36.789374Z","shell.execute_reply.started":"2024-07-21T15:57:36.782211Z","shell.execute_reply":"2024-07-21T15:57:36.787779Z"},"trusted":true},"execution_count":14,"outputs":[{"name":"stdout","text":"Drug Y is prescribed for colds!\nNext Statement..\n","output_type":"stream"}]},{"cell_type":"code","source":"##------------------------##\n## ُif .. else statement  ##\n##------------------------##\n\ndrug = '+++'\n\nif drug == 'Drug Y':\n    print(f'{drug} is prescribed for colds!')\nelse:\n    print(f'{drug} is prescribed for headache!')\n\nprint(\"Next Statement..\")","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:12.371359Z","iopub.status.idle":"2024-04-16T14:51:12.371783Z","shell.execute_reply.started":"2024-04-16T14:51:12.371587Z","shell.execute_reply":"2024-04-16T14:51:12.371607Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"##--------------------------##\n## ُelif .. else statement  ##\n##--------------------------##\n\ndrug = 'Drug Z'\n\nif drug == 'Drug Y':\n    print(f'{drug} is prescribed for colds!')\nelif drug == 'Drug X':\n    print(f'{drug} is prescribed for flu!')\nelif drug == 'Drug Z':\n    print(f'{drug} is prescribed for covid-19!')\nelse:\n    print(f'{drug} is prescribed for headache!')\n\nprint(\"Next Statement..\")","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:12.373756Z","iopub.status.idle":"2024-04-16T14:51:12.374181Z","shell.execute_reply.started":"2024-04-16T14:51:12.373986Z","shell.execute_reply":"2024-04-16T14:51:12.374005Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### 1. 3. 2. Loops  \n\nLoops are used to repeat a block of code multiple times. In Python, there are two main types of loops: **for** loops and **while** loops.","metadata":{}},{"cell_type":"markdown","source":"#### **for loops:**\n\nIt iterates over a **sequence** (such as a list, tuple, or range) and executes a block of code for each element in the sequence.","metadata":{}},{"cell_type":"code","source":"##-------------##\n## ُfor loops  ##\n##-------------##\n\n\nfeatures = ['Age', 'Sex', 'Income', 'Job', 'Credit']   # List\n\nfor i in features:\n    print(i)\n\n\n##--------------------------------------------------------------##\n## ُExercise: Convert characters of a string to opposite case   ##\n##--------------------------------------------------------------##    \n    \nmy_string = 'Dayche Knows Data Psychology!'\nprint(\"Old statement: \", my_string)\nnew_string = ''\n\n\nfor char in my_string:\n    if char.isupper():\n        new_string =  new_string + char.lower()\n    elif char.islower(): \n        new_string = new_string + char.upper()\n    else:\n        new_string = new_string + char\n        \nprint(\"New statement: \", new_string)\n","metadata":{"trusted":true},"execution_count":50,"outputs":[{"name":"stdout","text":"Old statement:  Dayche Knows Data Psychology!\nNew statement:  dAYCHE kNOWS dATA pSYCHOLOGY!\n","output_type":"stream"}]},{"cell_type":"markdown","source":"Using the **range function** in a loop is often more **memory-efficient** than using a list of numbers directly, especially when dealing with large ranges.","metadata":{}},{"cell_type":"code","source":"for i in range(5):            # Using range() function to itarable.\n    print(i)\n\n\nprint('=' * 50)\n#==========================================================================#\n    \nfor i in range(7):            \n    for j in range(5):        # Using nested for loop\n        print(f'add two values {i+1} and {j+1} is: {(i+1)+(j+1)}')\n\n\nprint('=' * 50)\n#==========================================================================#\n\nfeatures = ['Age', 'Sex', 'Income', 'Job', 'Credit']   # List\n# features = ('Age', 'Sex', 'Income', 'Job', 'Credit')   # Tuple\n# features = {'Age', 'Sex', 'Income', 'Job', 'Credit'}   # Set\n\n\nfor i in range(len(features)):\n    print(f\"the {i+1}'th feature is: {features[i]}\")\n    \n    ","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:12.378852Z","iopub.status.idle":"2024-04-16T14:51:12.379284Z","shell.execute_reply.started":"2024-04-16T14:51:12.379068Z","shell.execute_reply":"2024-04-16T14:51:12.379087Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### **while loops:**\n\nIt repeats a block of code as long as a condition is **true**.\n","metadata":{}},{"cell_type":"code","source":"##--------------##\n## while loops  ##\n##--------------##\n\n\nnum = 5\ni = 0\n\nwhile i <= num:\n    print(i)\n    i += 1  # i = i + 1","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:12.380606Z","iopub.status.idle":"2024-04-16T14:51:12.381028Z","shell.execute_reply.started":"2024-04-16T14:51:12.380834Z","shell.execute_reply":"2024-04-16T14:51:12.380853Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"##--------------------------------------------------------##\n## ُExercise: calculating the mean of a list of numbers   ##\n##--------------------------------------------------------##  \n\n\n\n# Sample data (a list of numbers)\ndata = []\n\n# Initialize variables for sum and count\ntotal = 0\ncount = 0\n\n# Iterate through the list and calculate the sum\nwhile count < len(data):\n    total += data[count]\n    count += 1\n\n# Calculate the mean (average)\nif count > 0:\n    mean = total / count\nelse:\n    mean = None  # Avoid division by zero if the list is empty\n\n# Print the result\nif mean is not None:\n    print(f\"Mean of the data: {mean}\")\nelse:\n    print(\"The list is empty.\")\n","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:12.382198Z","iopub.status.idle":"2024-04-16T14:51:12.382608Z","shell.execute_reply.started":"2024-04-16T14:51:12.382418Z","shell.execute_reply":"2024-04-16T14:51:12.382437Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"##---------------------------------------------------------------------------------------##\n## ُExercise: Print Even Numbers from User Input While Observing the Stop Even Number.   ##\n##---------------------------------------------------------------------------------------## \n\n\n# Initialize variables\nstop_number = 8\n\n\nwhile True:\n    num = input(\"Enter a number: \")        # Get user input\n    num = int(num)\n    if num % 2 != 0:\n#         index += 1\n        continue                           # Skip odd numbers and move to the next iteration\n\n    \n    print(f\"Even number found and print: {num}\")     # Print even numbers\n    \n    if num == stop_number:\n        print('Exit')\n        break                              # stop after finding the stop number\n   \n#     index += 1                             # Move to the next index\n","metadata":{"execution":{"iopub.status.busy":"2024-04-16T15:48:00.085276Z","iopub.execute_input":"2024-04-16T15:48:00.086002Z","iopub.status.idle":"2024-04-16T15:48:07.968987Z","shell.execute_reply.started":"2024-04-16T15:48:00.085965Z","shell.execute_reply":"2024-04-16T15:48:07.967832Z"},"trusted":true},"execution_count":52,"outputs":[{"output_type":"stream","name":"stdin","text":"Enter a number:  4\n"},{"name":"stdout","text":"Even number found and print: 4\n","output_type":"stream"},{"output_type":"stream","name":"stdin","text":"Enter a number:  5\nEnter a number:  8\n"},{"name":"stdout","text":"Even number found and print: 8\nExit\n","output_type":"stream"}]},{"cell_type":"markdown","source":"## 1. 4. Introduction to Functions  \n\nFunctions in Python are blocks of **reusable** code that perform a specific task or set of tasks. They are an essential part of Python programming and offer several advantages:\n\n**Modularity:** Functions allow you to break your code into smaller, more manageable pieces. Each function can perform a specific operation, making your code easier to understand and maintain.\n\n**Reusability:** Once defined, functions can be called multiple times from different parts of your program. This promotes code reuse and avoids duplicating the same logic.\n\n**Abstraction:** Functions encapsulate a specific functionality and hide the implementation details from the caller. This abstraction makes code easier to use and understand.\n\n**Organization:** Functions help organize your code logically by grouping related operations together. This improves the overall structure of your 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"}}},{"cell_type":"code","source":"def calc(a, b):\n    product = a * b\n    add = a + b\n    return product, add\n\nresult = calc(4, 5)\nprint(result)\ntype(result)\nprint(f'Product = {result[0]}, Add = {result[1]}')\n\na = calc(a=18, b=9)\n","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:12.385142Z","iopub.status.idle":"2024-04-16T14:51:12.385537Z","shell.execute_reply.started":"2024-04-16T14:51:12.385351Z","shell.execute_reply":"2024-04-16T14:51:12.385369Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### Example: Calculate of Min-Max Normalization in Range (a, b):  \n\n![image.png](attachment:8a0b4deb-419c-4f9a-bc51-50c711129dea.png)","metadata":{},"attachments":{"8a0b4deb-419c-4f9a-bc51-50c711129dea.png":{"image/png":"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"}}},{"cell_type":"code","source":"##------------------------------------------------------------------##\n## ُExercise: Calculate of Min-Max Normalization in Range (a, b).   ##\n##------------------------------------------------------------------## \n\n\ndef minmax(x, a=0, b=1):\n    x = list(x)\n    x_min = min(x)\n    x_max = max(x)\n    x_scaled = []\n    for i in range(len(x)):\n        x_scaled.append(a + ((x[i] - x_min)*(b-a))/(x_max - x_min)) \n    return x_scaled\n ","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:12.387571Z","iopub.status.idle":"2024-04-16T14:51:12.388487Z","shell.execute_reply.started":"2024-04-16T14:51:12.388267Z","shell.execute_reply":"2024-04-16T14:51:12.388291Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"p = [5, 7, 9, 12, 4, 8, 15]\nq = [-8.6, 7.7, 1, -25, 6.2, 3.8, -4.9]\n\nx = minmax(p, 0, 1)\ny = minmax(q, -5, 5)\n\nprint(\"Scaled p in: \",x)\nprint(\"Scaled q in: \",y)\n\n\nz = minmax(q, 10, 100)                        # Used with default arguments\nprint(\"Default Scaled q in: \",z)","metadata":{"execution":{"iopub.status.busy":"2024-04-16T14:51:12.390259Z","iopub.status.idle":"2024-04-16T14:51:12.390675Z","shell.execute_reply.started":"2024-04-16T14:51:12.390489Z","shell.execute_reply":"2024-04-16T14:51:12.390507Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Congratulations! Now you just have to code..**","metadata":{}},{"cell_type":"markdown","source":"### Guideline Map: \n\n##### Previous Notebook:\n###### [Project 2: Loan Credit Prediction](https://www.kaggle.com/code/rouzbeh/loan-credit-prediction)\n\n##### Next Notebook:\n###### [Data Science Libraries in Python: Dive into Python-Section 2](https://www.kaggle.com/code/rouzbeh/dive-into-python-section-2) \n\n##### Course Content:   \n###### [1. Dive into Data Science: Content -->](https://www.kaggle.com/rouzbeh/1-dive-into-ds-content)  \n\n##### Next Courses:   \n###### [2. Statistics for Data Science -->](https://www.kaggle.com/code/rouzbeh/2-statistics-for-ds-content)  \n###### [3. Data Mining and Applied Machine Learning -->](https://www.kaggle.com/code/rouzbeh/3-data-mining-applied-machine-learning-content)","metadata":{}}]}