python basic programes.pdf
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Python basic programes πͺπ₯
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π13
Beginner's Series to: Django
by Microsoft
One of the most popular types of web applications to create is one to act as a front-end for a database. These applications focus on a common set of patters where you will allow users to create, retrieve, update and delete (CRUD) data. Creating CRUD applications can sometimes be tedious as large portions of the code are duplicated in your project.
π¬ 24 episodes
https://docs.microsoft.com/en-us/shows/beginners-series-to-django/
by Microsoft
One of the most popular types of web applications to create is one to act as a front-end for a database. These applications focus on a common set of patters where you will allow users to create, retrieve, update and delete (CRUD) data. Creating CRUD applications can sometimes be tedious as large portions of the code are duplicated in your project.
π¬ 24 episodes
https://docs.microsoft.com/en-us/shows/beginners-series-to-django/
Docs
Beginner's Series to: Django
One of the most popular types of web applications to create is one to act as a front-end for a database. These applications focus on a common set of patters where you will allow users to create, retrieve, update and delete (CRUD) data. Creating CRUD applications canβ¦
π2
π₯ Guys, Another Big Announcement!
Iβm launching a Python Interview Series ππΌ β your complete guide to cracking Python interviews from beginner to advanced level!
This will be a week-by-week series designed to make you interview-ready β covering core concepts, coding questions, and real interview scenarios asked by top companies.
Hereβs whatβs coming your way π
πΉ Week 1: Python Fundamentals (Beginner Level)
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, and nested structures
π‘ *Practice:* Frequency count, remove duplicates, find max/min
πΉ Week 3: Functions, Modules & File Handling
β’
β’ File read/write, CSV handling
β’ Modules & imports
π‘ *Practice:* Create custom functions, read data files, handle errors
πΉ Week 4: Object-Oriented Programming (OOP)
β’ Classes, objects, inheritance, polymorphism
β’ Encapsulation & abstraction
β’ Magic methods (
π‘ *Practice:* Build a simple class like BankAccount or StudentSystem
πΉ Week 5: Exception Handling & Logging
β’
β’ Custom exceptions
β’ Logging errors & debugging best practices
π‘ *Practice:* File operations with proper 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 examples
πΉ Week 7: Pandas & NumPy for Data Analysis
β’ DataFrame basics, filtering & grouping
β’ Handling missing data
β’ NumPy arrays, slicing, and aggregation
π‘ *Practice:* Analyze small CSV datasets
πΉ Week 8: Python for Analytics & Visualization
β’ Matplotlib, Seaborn basics
β’ Data summarization & correlation
β’ Building simple dashboards
π‘ *Practice:* Visualize sales or user data
πΉ Week 9: Real Interview Questions (IntermediateβAdvanced)
β’ 50+ Python interview questions with answers
β’ Common logical & coding tasks
β’ Real company-style questions (Infosys, TCS, Deloitte, etc.)
π‘ *Practice:* Solve daily problem sets
πΉ Week 10: Final Interview Prep (Mock & Revision)
β’ End-to-end mock interviews
β’ Python project discussion tips
β’ Resume & GitHub portfolio guidance
π Each week includes:
β Key Concepts & Examples
β Coding Snippets & Practice Tasks
β Real Interview Q&A
β Mini Quiz & Discussion
π React β€οΈ if youβre ready to master Python interviews!
π You can access it from here: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/2099
Iβm launching a Python Interview Series ππΌ β your complete guide to cracking Python interviews from beginner to advanced level!
This will be a week-by-week series designed to make you interview-ready β covering core concepts, coding questions, and real interview scenarios asked by top companies.
Hereβs whatβs coming your way π
πΉ Week 1: Python Fundamentals (Beginner Level)
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, and nested structures
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:* Create custom functions, read data files, handle errors
πΉ Week 4: Object-Oriented Programming (OOP)
β’ Classes, objects, inheritance, polymorphism
β’ Encapsulation & abstraction
β’ Magic methods (
__init__
, __str__
)π‘ *Practice:* Build a simple class like BankAccount or StudentSystem
πΉ Week 5: Exception Handling & Logging
β’
try-except-else-finally
β’ Custom exceptions
β’ Logging errors & debugging best practices
π‘ *Practice:* File operations with proper 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 examples
πΉ Week 7: Pandas & NumPy for Data Analysis
β’ DataFrame basics, filtering & grouping
β’ Handling missing data
β’ NumPy arrays, slicing, and aggregation
π‘ *Practice:* Analyze small CSV datasets
πΉ Week 8: Python for Analytics & Visualization
β’ Matplotlib, Seaborn basics
β’ Data summarization & correlation
β’ Building simple dashboards
π‘ *Practice:* Visualize sales or user data
πΉ Week 9: Real Interview Questions (IntermediateβAdvanced)
β’ 50+ Python interview questions with answers
β’ Common logical & coding tasks
β’ Real company-style questions (Infosys, TCS, Deloitte, etc.)
π‘ *Practice:* Solve daily problem sets
πΉ Week 10: Final Interview Prep (Mock & Revision)
β’ End-to-end mock interviews
β’ Python project discussion tips
β’ Resume & GitHub portfolio guidance
π Each week includes:
β Key Concepts & Examples
β Coding Snippets & Practice Tasks
β Real Interview Q&A
β Mini Quiz & Discussion
π React β€οΈ if youβre ready to master Python interviews!
π You can access it from here: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/2099
π1