Future Tech Skills

𝐏𝐘𝐓𝐇𝐎𝐍 𝐟𝐨𝐫 𝐄𝐯𝐞𝐫𝐲𝐨𝐧𝐞: So, don't waste your time, start today with Yogesh Tyagi. (Share and comment for better reach) 𝐃𝐚𝐲-𝟒: 𝐌𝐚𝐬𝐭𝐞𝐫𝐢𝐧𝐠 𝐒𝐭𝐫𝐢𝐧𝐠𝐬 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧 𝟏. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐒𝐭𝐫𝐢𝐧𝐠 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧? A string in Python is a sequence of characters enclosed in single, double, or triple quotes. Strings are immutable, meaning once created, their content cannot be changed, making them ideal for storing and manipulating text data. 𝟐. 𝐒𝐭𝐫𝐢𝐧𝐠 𝐂𝐫𝐞𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐈𝐧𝐝𝐞𝐱𝐢𝐧𝐠 Strings can be created using quotes and include special formats like multiline strings with triple quotes or escape characters for special symbols. Python strings are indexed, allowing access to individual characters using positive or negative indices. 𝟑. 𝐒𝐭𝐫𝐢𝐧𝐠 𝐒𝐥𝐢𝐜𝐢𝐧𝐠 𝐚𝐧𝐝 𝐋𝐞𝐧𝐠𝐭𝐡 String slicing extracts parts of a string using [start:end:step]. The len() function calculates the total characters in a string, including spaces, aiding in validation and dynamic processing. 𝟒. 𝐂𝐨𝐦𝐦𝐨𝐧 𝐒𝐭𝐫𝐢𝐧𝐠 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 Python offers versatile string methods like.lower(), .upper(), .replace(), and more for manipulation. You can also check substrings with in and not in, concatenate strings using +, and format strings using f-strings or the format() method. 𝟓. 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐒𝐭𝐫𝐢𝐧𝐠 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 Techniques like string iteration, encoding/decoding, and case-sensitive comparisons make strings powerful for text-based tasks. Python also allows string encoding with.encode() and decoding with.decode() for handling different formats. Follow Future Tech Skills for more such information and don't forget to save this post for later Join our group to discover more about Data Analytics, Data Science, Development & QA : https://lnkd.in/gUBDWHqe #python #pythonlearning #interviewpreparation #interview #jobs

𝐏𝐘𝐓𝐇𝐎𝐍 𝐟𝐨𝐫 𝐄𝐯𝐞𝐫𝐲𝐨𝐧𝐞. So, don't waste your time, start today with Yogesh Tyagi. (Share and comment for better reach) 𝐃𝐚𝐲-3: 𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗟𝗼𝗴𝗶𝗰𝗮𝗹 𝗔𝗡𝗗 & 𝗢𝗥 𝗶𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝟭. 𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝗟𝗼𝗴𝗶𝗰𝗮𝗹 𝗢𝗽𝗲𝗿𝗮𝘁𝗼𝗿𝘀? Logical operators like AND and OR allow combining multiple conditions in Python, evaluating them together to return a Boolean result: True or False. 𝟮. 𝗟𝗼𝗴𝗶𝗰𝗮𝗹 𝗔𝗡𝗗 (𝗮𝗻𝗱) The and operator returns True only if all conditions are true. For example, age > 18 and income > 30000 evaluates to True only if both conditions are met. Otherwise, it returns False. 𝟯. 𝗟𝗼𝗴𝗶𝗰𝗮𝗹 𝗢𝗥 (𝗼𝗿) The or operator returns True if at least one condition is true. For instance, day == "Saturday" or time > 20 evaluates to True if either condition is satisfied. 𝟰. 𝗨𝘀𝗶𝗻𝗴 𝗔𝗡𝗗 & 𝗢𝗥 𝗧𝗼𝗴𝗲𝘁𝗵𝗲𝗿 You can combine and and or in a single condition to handle complex logic. Parentheses are used to control precedence, ensuring clarity and correctness in evaluations. 𝟱. 𝗦𝗵𝗼𝗿𝘁-𝗖𝗶𝗿𝗰𝘂𝗶𝘁 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 Logical operators in Python use short-circuit evaluation. For and, if the first condition is false, the second is not checked. Similarly, for or, if the first condition is true, Python skips the second condition. 𝟲. 𝗟𝗼𝗴𝗶𝗰𝗮𝗹 𝗢𝗽𝗲𝗿𝗮𝘁𝗼𝗿𝘀 𝘄𝗶𝘁𝗵 𝗡𝗼𝗻-𝗕𝗼𝗼𝗹𝗲𝗮𝗻 𝗩𝗮𝗹𝘂𝗲𝘀 Python treats non-boolean values as truthy or falsy. Non-zero numbers and non-empty strings are truthy, while 0, None, and empty strings or lists are falsy. Follow Future Tech Skills Tech Skills for more such information and don’t forget to save this post for later #python #pythonlearning #interviewpreparation #interview #jobs

𝗣𝗬𝗧𝗛𝗢𝗡 𝗳𝗼𝗿 𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲: So, don't waste your time, start today with Yogesh Tyagi. (Share and comment for better reach) 𝐃𝐚𝐲-𝟐: 𝐌𝐚𝐬𝐭𝐞𝐫𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞𝐬: A Beginner's Guide 𝟏. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞? A variable in Python acts as a symbolic name for a memory location, storing data like numbers, strings, or objects. It makes code more readable and allows efficient data manipulation. 𝟐. 𝐑𝐮𝐥𝐞𝐬 𝐟𝐨𝐫 𝐍𝐚𝐦𝐢𝐧𝐠 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞𝐬 Python variable names must start with a letter or underscore, use only alphanumeric characters, and avoid keywords. Variable names are case-sensitive, so age and Age are different. 𝟑. 𝐀𝐬𝐬𝐢𝐠𝐧𝐢𝐧𝐠 𝐕𝐚𝐥𝐮𝐞𝐬 𝐭𝐨 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞𝐬 Assign values to variables using the = operator. Python allows dynamic typing, meaning variables can hold any data type without prior declaration. 𝟒. 𝐂𝐡𝐚𝐧𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐑𝐞𝐚𝐬𝐬𝐢𝐠𝐧𝐢𝐧𝐠 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞𝐬 Variables can be updated with new values, and shortcuts like += simplify arithmetic operations. 𝟓. 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞 𝐓𝐲𝐩𝐞𝐬 𝐚𝐧𝐝 𝐄𝐱𝐚𝐦𝐩𝐥𝐞𝐬 Python supports various data types, including integers, floats, strings, and booleans, providing flexibility for different operations. 𝟔. 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞𝐬 A variable's scope determines where it can be accessed: local variables are limited to functions, while global variables are accessible throughout the program. [Explore more in the post] Follow Future Tech Skills Tech Skills for more such information and don't forget to save this post for later. Join our group to discover more about Data Analytics, Data Science, Development & QA : https://lnkd.in/gUBDWHqe #python #pythonlearning #interviewpreparation #interview #jobs

𝗣𝘆𝘁𝗵𝗼𝗻 𝗟𝗶𝘀𝘁 𝗠𝗲𝘁𝗵𝗼𝗱𝘀: Simplify List Operations 𝟭. 𝗮𝗽𝗽𝗲𝗻𝗱() Adds an element to the end of the list, making it longer. 𝟮. 𝗲𝘅𝘁𝗲𝗻𝗱() Merges another list's elements into the current list. 𝟯. 𝗶𝗻𝘀𝗲𝗿𝘁() Inserts an element at a specific position within the list. 𝟰. 𝗿𝗲𝗺𝗼𝘃𝗲() Deletes the first occurrence of a specified element. 𝟱. 𝗽𝗼𝗽() Removes and returns an element from a specific index. 𝟲. 𝗰𝗼𝘂𝗻𝘁() Counts how many times a specific value appears in the list. 𝟳. 𝘀𝗼𝗿𝘁() Arranges the list elements in ascending order. 𝟴. 𝗿𝗲𝘃𝗲𝗿𝘀𝗲() Reverse the order of elements in the list. [Explore More In The Post] Follow Future Tech Skills Tech Skills for more such information and don’t forget to save this post for later Join our group to discover more about Data Analytics, Data Science, Development & QA : https://lnkd.in/gUBDWHqe #python #pythonlearning #pythondeveloper #pythonprogramming

𝐏𝐘𝐓𝐇𝐎𝐍 𝐟𝐨𝐫 𝐄𝐯𝐞𝐫𝐲𝐨𝐧𝐞. So, don't waste your time, start today with Yogesh Tyagi. (Share and comment for better reach) 𝐃𝐚𝐲-𝟏: 𝐏𝐲𝐭𝐡𝐨𝐧 𝐚𝐧𝐝 𝐏𝐲𝐂𝐡𝐚𝐫𝐦 𝐈𝐧𝐬𝐭𝐚𝐥𝐥𝐚𝐭𝐢𝐨𝐧 𝐆𝐮𝐢𝐝𝐞 𝟏. 𝐒𝐞𝐭𝐭𝐢𝐧𝐠 𝐔𝐩 𝐘𝐨𝐮𝐫 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭: This guide walks you through installing Python and PyCharm, ensuring a smooth setup for efficient coding. 𝟐. 𝐒𝐲𝐬𝐭𝐞𝐦 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬 𝐟𝐨𝐫 𝐈𝐧𝐬𝐭𝐚𝐥𝐥𝐚𝐭𝐢𝐨𝐧: Check that your system meets basic requirements for Python and PyCharm on Windows, macOS, or Linux. 𝟑. 𝐈𝐧𝐬𝐭𝐚𝐥𝐥𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧: Download Python and select "Add Python to PATH" during installation to enable easy command-line access. 𝟒. 𝐒𝐞𝐭𝐭𝐢𝐧𝐠 𝐔𝐩 𝐩𝐢𝐩: Pip, Python's built-in package manager, lets you install libraries like NumPy or Flask quickly and efficiently. 𝟓. 𝐈𝐧𝐬𝐭𝐚𝐥𝐥𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐢𝐧𝐠 𝐏𝐲𝐂𝐡𝐚𝐫𝐦: Install PyCharm (Community or Professional) and link it to your Python interpreter for seamless project development. 𝟔. 𝐖𝐫𝐢𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐑𝐮𝐧𝐧𝐢𝐧𝐠 𝐘𝐨𝐮𝐫 𝐅𝐢𝐫𝐬𝐭 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: Create a "Hello, World!" project in PyCharm to verify the setup and start coding right away. 𝟕. 𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐟𝐨𝐫 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Use virtual environments, keep tools updated, and master key libraries for clean and efficient workflows. 𝟖. 𝐓𝐫𝐨𝐮𝐛𝐥𝐞𝐬𝐡𝐨𝐨𝐭𝐢𝐧𝐠 𝐂𝐨𝐦𝐦𝐨𝐧 𝐈𝐬𝐬𝐮𝐞𝐬: Fix common errors like PATH issues, missing interpreters, or library installation problems with simple solutions. Follow Future Tech Skills for more such information and don't forget to save this post for later Join our group to discover more about Data Analytics, Data Science, Development & QA: https://lnkd.in/gUBDWHqe #python #pythonlearning #interviewpreparation #interview #jobs

𝗣𝘆𝘁𝗵𝗼𝗻 𝗖𝗹𝗮𝘀𝘀𝗲𝘀 𝗮𝗻𝗱 𝗢𝗯𝗷𝗲𝗰𝘁𝘀: Master Object-Oriented Programming 𝟭. 𝗪𝗵𝗮𝘁 𝗔𝗿𝗲 𝗖𝗹𝗮𝘀𝘀𝗲𝘀 𝗮𝗻𝗱 𝗢𝗯𝗷𝗲𝗰𝘁𝘀? A class is a blueprint for objects, defining their structure and behavior. An object is an instance of a class, modeling real-world entities with attributes and methods. 𝟮. 𝗪𝗵𝘆 𝗨𝘀𝗲 𝗖𝗹𝗮𝘀𝘀𝗲𝘀 𝗮𝗻𝗱 𝗢𝗯𝗷𝗲𝗰𝘁𝘀? Classes enable better organization, reuse of code, and logical modeling of real-world problems in software. 𝟯. 𝗗𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝗮 𝗖𝗹𝗮𝘀𝘀 Classes are created using the class keyword and typically include an __init__ method for initialization. 𝟰. 𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗮𝗻 𝗢𝗯𝗷𝗲𝗰𝘁 Objects are instances of a class, created by calling the class name. Each object holds unique data. 𝟱. 𝗖𝗹𝗮𝘀𝘀 𝗔𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝘀 𝗮𝗻𝗱 𝗠𝗲𝘁𝗵𝗼𝗱𝘀 Attributes define the data, while methods define behavior. Class-level attributes are shared, while instance attributes are unique. 𝟲. 𝗔𝗰𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗮𝗻𝗱 𝗠𝗼𝗱𝗶𝗳𝘆𝗶𝗻𝗴 𝗔𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝘀 Attributes are accessed using dot notation and can be modified directly or through methods. 𝟳. 𝗜𝗻𝗵𝗲𝗿𝗶𝘁𝗮𝗻𝗰𝗲 Allows new classes to inherit and extend the functionality of existing ones, reducing duplication. [Explore More In The Post] Follow Future Tech Skills Tech Skills for more such information and don’t forget to save this post for later Join our group to discover more about Data Analytics, Data Science, Development & QA : https://lnkd.in/gUBDWHqe #python #pythonlearning #pythondeveloper #pythonprogramming

𝐏𝐲𝐭𝐡𝐨𝐧 𝐅𝐢𝐥𝐞 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠: Read, Write, Manage Data with Ease 𝟏. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐅𝐢𝐥𝐞 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧? File handling enables creating, reading, writing, and managing files in Python, making it essential for data persistence and automation. 𝟐. 𝐖𝐡𝐲 𝐅𝐢𝐥𝐞 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 𝐌𝐚𝐭𝐭𝐞𝐫𝐬 It ensures data is stored for future use, manages large datasets efficiently, and automates tasks like logs and reports. 𝟑. 𝐅𝐢𝐥𝐞 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 𝐌𝐨𝐝𝐞𝐬 Python supports modes like 'r' (read), 'w' (write), 'a' (append), 'b' (binary), and 't' (text) to cater to different file operations. 𝟒. 𝐑𝐞𝐚𝐝𝐢𝐧𝐠 𝐚𝐧𝐝 𝐖𝐫𝐢𝐭𝐢𝐧𝐠 𝐅𝐢𝐥𝐞𝐬 Read files using methods like read() or readlines() and write data with write() to update or append content. 𝟓. 𝐖𝐨𝐫𝐤𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐉𝐒𝐎𝐍 𝐚𝐧𝐝 𝐁𝐢𝐧𝐚𝐫𝐲 𝐅𝐢𝐥𝐞𝐬 Use the json module for structured data and binary mode for handling images or audio files seamlessly. 𝟔. 𝐌𝐚𝐧𝐚𝐠𝐢𝐧𝐠 𝐅𝐢𝐥𝐞𝐬 𝐚𝐧𝐝 𝐃𝐢𝐫𝐞𝐜𝐭𝐨𝐫𝐢𝐞𝐬 Leverage os and shutil modules for tasks like checking file existence, deleting files, or managing directories. 𝟕. 𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 Use for automatic file closure, check file existence, handle exceptions gracefully, and avoid hardcoding file paths. [Explore More In The Post] Follow Future Tech Skills Tech Skills for more such information and don't forget to save this post for later Join our group to discover more about Data Analytics, Data Science, Development & QA: https://lnkd.in/gUBDWHqe #python #pythonlearning #pythondeveloper #pythonprogramming

𝐏𝐲𝐭𝐡𝐨𝐧 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 𝐆𝐮𝐢𝐝𝐞: Reuse and Organize Your Code 𝟏. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧? A function is a reusable block of code designed for specific tasks, promoting modularity and reducing repetition. 𝟐. 𝐖𝐡𝐲 𝐔𝐬𝐞 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬? Functions improve code readability, modularity, and reusability, helping to break programs into smaller, manageable parts. 𝟑. 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧 𝐒𝐲𝐧𝐭𝐚𝐱 Functions are defined using the def keyword, followed by the function name and parameters in parentheses. 𝟒. 𝐂𝐚𝐥𝐥𝐢𝐧𝐠 𝐚 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧 Invoke functions by their name, passing required arguments to execute the defined task. 𝟓. 𝐓𝐲𝐩𝐞𝐬 𝐨𝐟 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 Python includes built-in, user-defined, lambda, and recursive functions, each serving unique programming needs. 𝟔. 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧 𝐀𝐫𝐠𝐮𝐦𝐞𝐧𝐭𝐬 Python supports positional, keyword, default, and variable-length arguments (*args, **kwargs) for flexibility. 𝟕. 𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 Use meaningful names, document with docstrings, handle exceptions gracefully, and avoid modifying mutable arguments unintentionally. [Explore More In The Post] Follow Future Tech Skills Tech Skills for more such information and don't forget to save this post for later Join our group to discover more about Data Analytics, Data Science, Development & QA: https://lnkd.in/gUBDWHqe #python #pythonlearning #pythondeveloper #pythonprogramming

𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐚𝐭𝐚 𝐓𝐲𝐩𝐞𝐬 𝐆𝐮𝐢𝐝𝐞: 𝐌𝐚𝐬𝐭𝐞𝐫 𝐭𝐡𝐞 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐏𝐲𝐭𝐡𝐨𝐧 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝟏. 𝐖𝐡𝐚𝐭 𝐀𝐫𝐞 𝐃𝐚𝐭𝐚 𝐓𝐲𝐩𝐞𝐬? Data types define the kind of data variables hold, ensuring clarity and precision in Python code. 𝟐. 𝐍𝐮𝐦𝐞𝐫𝐢𝐜 𝐓𝐲𝐩𝐞𝐬 Handle numbers with int (integers), float (decimals), and complex (numbers with imaginary parts). 𝟑. 𝐒𝐞𝐪𝐮𝐞𝐧𝐜𝐞 𝐓𝐲𝐩𝐞𝐬 Includes list (mutable), tuple (immutable), and range for managing ordered collections. 𝟒. 𝐓𝐞𝐱𝐭 𝐓𝐲𝐩𝐞 The str type manages textual data, enabling slicing, concatenation, and formatting operations. 𝟓. 𝐁𝐨𝐨𝐥𝐞𝐚𝐧 𝐓𝐲𝐩𝐞 The bool type handles logical values like True and False, often used in decision-making. 𝟔. 𝐌𝐚𝐩𝐩𝐢𝐧𝐠 𝐚𝐧𝐝 𝐒𝐞𝐭 𝐓𝐲𝐩𝐞𝐬 Use dict for key-value pairs and set or frozenset for unique, unordered collections. 𝟕. 𝐁𝐢𝐧𝐚𝐫𝐲 𝐚𝐧𝐝 𝐍𝐨𝐧𝐞 𝐓𝐲𝐩𝐞𝐬 Manage binary data with bytes and represent no value with the None type. [Explore More In The Post] Follow Future Tech Skills for more such information and don't forget to save this post for later Join our group to discover more about Data Analytics, Data Science, Development & QA: https://lnkd.in/gUBDWHqe #python #pythonlearning #pythondeveloper #pythonprogramming

𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗔𝘁𝗺𝗼𝘀𝗽𝗵𝗲𝗿𝗲: Your Guide to Master Python 𝗖𝗼𝗿𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗕𝗮𝘀𝗶𝗰𝘀 Lay the foundation by understanding variables, data types, operators, and string operations. Master syntax, indentation, and constants to build a solid base for Python programming. 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗙𝗹𝗼𝘄 𝗮𝗻𝗱 𝗟𝗼𝗼𝗽𝘀 Learn conditional statements, loops, and comprehensions to control the logic flow. Dive into iteration techniques and handle infinite loops efficiently. 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗠𝗼𝗱𝘂𝗹𝗮𝗿 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 Master defining functions, handling arguments, and using Python's built-in functions. Explore modular programming by creating and importing custom modules. 𝗢𝗯𝗷𝗲𝗰𝘁-𝗢𝗿𝗶𝗲𝗻𝘁𝗲𝗱 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 (𝗢𝗢𝗣) Understand classes, inheritance, and encapsulation. Learn to create reusable code using static methods, abstract classes, and magic methods. 𝗗𝗮𝘁𝗮 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘀 𝗶𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 Gain proficiency in lists, tuples, dictionaries, and sets. Leverage iterators, generators, and advanced collections for efficient data handling. 𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀 𝗮𝗻𝗱 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 Explore Python’s vast ecosystem with libraries like pandas, matplotlib, and TensorFlow. Build applications with Flask, Django, and tools for automation. [Explore More In The Post] Follow Future Tech Skills Tech Skills for more such information and don’t forget to save this post for later Join our group to discover more about Data Analytics, Data Science, Development & QA : https://lnkd.in/gUBDWHqe #python #pythonlearning #pythondeveloper #pythonprogramming