π₯ π¨ Big Announcement! π¨
Iβm thrilled to introduce my brand-new series β πΌ Python Interview Mastery π
Your step-by-step guide to crack Python interviews β from beginner to pro-level!
This will be a 10-week journey to make you fully interview-ready, with real coding questions, concepts, and company-style practice tasks!
πΉ Week 1: Python Basics & Core Concepts
β’ Data types, variables & operators
β’ If-else, loops & functions
β’ Input/output & basic problem-solving
π‘ Practice: Reverse string, Prime check, Factorial, Palindrome
πΉ Week 2: Data Structures in Python
β’ Lists, Tuples, Sets, Dictionaries
β’ Comprehensions (list, dict, set)
β’ Sorting, searching & nested data
π‘ Practice: Frequency count, remove duplicates, find max/min
πΉ Week 3: Functions, Modules & File Handling
β’ *args, *kwargs, lambda, map/filter/reduce
β’ File read/write, CSV handling
β’ Modules & imports
π‘ Practice: Custom functions, read files, handle exceptions
πΉ Week 4: Object-Oriented Programming (OOP)
β’ Classes & objects
β’ Inheritance, polymorphism, encapsulation
β’ Magic methods (init, str)
π‘ Practice: Build a Student or BankAccount class
πΉ Week 5: Exception Handling & Logging
β’ try-except-else-finally
β’ Custom exceptions
β’ Logging & debugging techniques
π‘ Practice: File operations with error handling
πΉ Week 6: Advanced Python Concepts
β’ Decorators, generators, iterators
β’ Closures & context managers
β’ Shallow vs deep copy
π‘ Practice: Create your own decorator & generator
πΉ Week 7: Data Analysis with Pandas & NumPy
β’ DataFrame operations, filtering & grouping
β’ Handling missing data
β’ NumPy arrays & slicing
π‘ Practice: Analyze small CSV datasets
πΉ Week 8: Visualization & Analytics
β’ Matplotlib & Seaborn basics
β’ Summarization & correlation
β’ Build simple dashboards
π‘ Practice: Visualize sales or user data
πΉ Week 9: Real Interview Questions (IntermediateβAdvanced)
β’ 50+ Python interview Q&A
β’ Logic-based & coding tasks
β’ Questions from Infosys, TCS, Deloitte & more
π‘ Practice: Solve daily challenge sets
πΉ Week 10: Final Interview Prep (Mock & Revision)
β’ Mock interviews & Q&A sessions
β’ Project explanation tips
β’ Resume & GitHub portfolio polish
π Every Week Includes:
β Key Concepts & Examples
β Coding Practice & Mini Projects
β Real Interview Questions
β Quizzes & Discussion
π¬ React β€οΈ if youβre ready to master Python interviews and land your dream job!
π₯ Letβs Learn. Letβs Practice. Letβs Crack It! π»
Iβm thrilled to introduce my brand-new series β πΌ Python Interview Mastery π
Your step-by-step guide to crack Python interviews β from beginner to pro-level!
This will be a 10-week journey to make you fully interview-ready, with real coding questions, concepts, and company-style practice tasks!
πΉ Week 1: Python Basics & Core Concepts
β’ Data types, variables & operators
β’ If-else, loops & functions
β’ Input/output & basic problem-solving
π‘ Practice: Reverse string, Prime check, Factorial, Palindrome
πΉ Week 2: Data Structures in Python
β’ Lists, Tuples, Sets, Dictionaries
β’ Comprehensions (list, dict, set)
β’ Sorting, searching & nested data
π‘ Practice: Frequency count, remove duplicates, find max/min
πΉ Week 3: Functions, Modules & File Handling
β’ *args, *kwargs, lambda, map/filter/reduce
β’ File read/write, CSV handling
β’ Modules & imports
π‘ Practice: Custom functions, read files, handle exceptions
πΉ Week 4: Object-Oriented Programming (OOP)
β’ Classes & objects
β’ Inheritance, polymorphism, encapsulation
β’ Magic methods (init, str)
π‘ Practice: Build a Student or BankAccount class
πΉ Week 5: Exception Handling & Logging
β’ try-except-else-finally
β’ Custom exceptions
β’ Logging & debugging techniques
π‘ Practice: File operations with error handling
πΉ Week 6: Advanced Python Concepts
β’ Decorators, generators, iterators
β’ Closures & context managers
β’ Shallow vs deep copy
π‘ Practice: Create your own decorator & generator
πΉ Week 7: Data Analysis with Pandas & NumPy
β’ DataFrame operations, filtering & grouping
β’ Handling missing data
β’ NumPy arrays & slicing
π‘ Practice: Analyze small CSV datasets
πΉ Week 8: Visualization & Analytics
β’ Matplotlib & Seaborn basics
β’ Summarization & correlation
β’ Build simple dashboards
π‘ Practice: Visualize sales or user data
πΉ Week 9: Real Interview Questions (IntermediateβAdvanced)
β’ 50+ Python interview Q&A
β’ Logic-based & coding tasks
β’ Questions from Infosys, TCS, Deloitte & more
π‘ Practice: Solve daily challenge sets
πΉ Week 10: Final Interview Prep (Mock & Revision)
β’ Mock interviews & Q&A sessions
β’ Project explanation tips
β’ Resume & GitHub portfolio polish
π Every Week Includes:
β Key Concepts & Examples
β Coding Practice & Mini Projects
β Real Interview Questions
β Quizzes & Discussion
π¬ React β€οΈ if youβre ready to master Python interviews and land your dream job!
π₯ Letβs Learn. Letβs Practice. Letβs Crack It! π»
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#PythonProgramming #python #practice
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