Today marked the final deep dive into Python’s exception handling framework. The focus was on moving beyond built-in errors and managing external resources safely. Technical Focus: • Custom Exception Classes: Designing domain-specific exceptions by inheriting from the Exception base class to improve code readability and debugging. • Context Managers: Leveraging the with statement for automatic resource management, ensuring file handles are closed even when errors occur. • Resilient File Handling: Combining try-except blocks with file I/O to handle FileNotFoundError and permission issues gracefully. • Applied Logic: Integrated these concepts into a mini-project to simulate real-world failure scenarios and recovery. Closing the loop on exceptions to ensure every system I build is failure-tolerant. 138 days to go. #Python #SoftwareEngineering #ErrorHandling #CleanCode #150DaysOfCode #InterviewPrep
Mastering Python Exception Handling with Custom Classes & Context Managers
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#PythonCoding 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁: 𝗥𝗲𝗺𝗼𝘃𝗲 𝗗𝘂𝗽𝗹𝗶𝗰𝗮𝘁𝗲𝘀 𝗳𝗿𝗼𝗺 𝗮 𝗟𝗶𝘀𝘁 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗨𝘀𝗶𝗻𝗴 𝗣𝗿𝗲𝗱𝗲𝗳𝗶𝗻𝗲𝗱 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 Write a Python function that takes a list as input and returns a new list with duplicate elements removed, while maintaining the original order of elements. 𝗖𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁𝘀: The function should work for both numbers and strings. The function should not use built-in functions like set(), dict.fromkeys(), or collections.OrderedDict. The function should preserve the original order of elements. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: 1.Create an empty list called unique_list to store only unique elements. 2.Iterate through the original list using a loop. 3.Check if the element is already in unique_list: -->If not, add it to unique_list. -->If it already exists, skip it. 4.Return the unique_list, which now contains elements without duplicates while preserving the original order. #Python #PythonProgramming #LearnPython #PythonDeveloper #CodingLife #PySpark #MachineLearning #Automation
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Linked List is a linear data structure where elements are connected using pointers. Unlike arrays, linked lists do not store elements in contiguous memory. Singly Linked List has one pointer (next), while Doubly Linked List has two (prev & next). Common operations include insertion, deletion, traversal, and reversal. Understanding linked lists is essential for mastering dynamic data handling. #python #programming #DSA #SoftwareEngineering
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90% of Python devs only know context managers as "with open()". That's like buying a Swiss Army knife and only using the toothpick. Context managers can handle: → Database connections (auto commit/rollback) → Execution timing (profile any code block) → Temp file cleanup (zero manual deletion) → Lock management → API sessions Slide through for real code examples ↗️ Which one do you use most? Drop your favorite use case below 👇 #Python #SoftwareEngineering #CodingTips #PythonDev #CleanCode
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🐍 Python Logic Check! Think you know how lists work? Most people get this wrong because they confuse append with extend. Can you spot the trick in the code? 🧐 The Code: x = [1, 2, 3] x.append([4, 5]) print(len(x)) Options: A) 5 B) 3 C) 4 D) Error Drop your answer in the comments! 👇 #PythonProgramming #CodingQuiz #DataScience #PythonLists #LearnToCode #ProgrammingLife #TechQuiz #SoftwareEngineering
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🐍 Python Logic Check! Think you know how lists work? Most people get this wrong because they confuse append with extend. Can you spot the trick in the code? 🧐 The Code: x = [1, 2, 3] x.append([4, 5]) print(len(x)) Options: A) 5 B) 3 C) 4 D) Error Drop your answer in the comments! 👇 #PythonProgramming #CodingQuiz #DataScience #PythonLists #LearnToCode #ProgrammingLife #TechQuiz #SoftwareEngineering
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When logic gets "Weird" (in a good way!) 🐍 I just tackled the Python If-Else challenge on HackerRank. It’s a classic problem that tests your ability to handle multiple overlapping conditions: Is the number odd? (Weird) Is it even and between 2–5? (Not Weird) Is it even and between 6–20? (Weird) Is it even and over 20? (Not Weird) It sounds like a tongue-twister, but it’s a perfect exercise in using elif and range() efficiently. It’s a great reminder that software engineering is less about writing code and more about translating complex rules into clean, executable logic. 🧠 Onward to more Python fundamentals! 🚀 Question:https://lnkd.in/g_zVAAve solution:https://lnkd.in/g6CGvfX7 #Python #HackerRank #CodingLogic #SoftwareDevelopment #ContinuousLearning
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Day 13 – Understanding Operators in Python Today I focused on one of the core building blocks of programming: Operators in Python. Operators are used to perform operations on variables and values.....from simple arithmetic to logical decision-making. What I learned today: • Arithmetic operators (+, -, *, /, %) • Comparison operators (>, <, ==, !=) • Logical operators (and, or, not) • Assignment operators • Using operators in business logic Why Operators Matter in Data Analytics: Operators are used in: •Calculating profit and margins •Comparing performance metrics •Applying business rules •Filtering datasets •Building conditional logic For example: Checking if profit margin is above threshold or identifying loss-making transactions requires comparison and logical operators. Strong fundamentals build strong analysis. GitHub Repository: https://lnkd.in/gdD4yAvR #Python #DataAnalytics #LearningInPublic #DataAnalystJourney #ProgrammingBasics #CareerGrowth
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LeetCode #238 – Product of Array Except Self | Python Implementation I implemented a two-pass prefix-postfix product approach that avoids division and achieves O(1) extra space. The first pass computes the product of all elements to the left of each index (prefix), storing it directly in the result array. The second pass traverses right-to-left, multiplying each position by the product of all elements to its right (postfix). This eliminates the need for additional arrays while maintaining linear time complexity. This pattern is core to sliding window computations, cumulative statistics in data pipelines, and financial running totals. Key Takeaway: The prefix-postfix technique is a powerful pattern for array transformations where each element depends on surrounding elements. By reusing the output array to store intermediate results, we achieve O(1) auxiliary space while maintaining clarity and efficiency. Time: O(n) | Space: O(1) (excluding output array) #LeetCode #DataStructures #Python #Arrays #PrefixSum #CodingInterview #ProblemSolving #SoftwareEngineering
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Revising Python fundamentals so far. Covered: --> variables, references, and basic data types --> input/output handling and type conversion --> list creation, indexing, slicing, and shared reference traps --> tuples, immutability, and unpacking behavior --> sets, uniqueness, and hashability rules --> dictionaries, key behavior, and nested structures --> control flow using if / elif / else --> loops (while, for) and iteration mechanics --> loop control using break, continue, and pass
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Today I practiced if-else conditions in Python 💻✨ 📌 Example Project: ✔️ Checking age eligibility ✔️ Verifying voting card status ✔️ Using nested if conditions 🔹 Concepts Covered: 👉 Variables 👉 Boolean Values (True/False) 👉 if-else Statements 👉 Nested Conditions
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