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Advanced Python Programs

• Advanced Python Programs
• Advanced Python Programs - Home

• Python Basics

• Introduction and Setup
• Create a system info collector CLI using platform, sys, and psutil.
• Build a virtual environment manager using venv and subprocess.
• Script to generate a project folder with auto README, .gitignore, and starter script.
• Python version compatibility checker for scripts (uses ast, tokenize).
• Auto-install missing modules when ImportError is detected.
• Create a startup script that logs Python path, version, and user info.
• Build a tool to compare two Python environments (pip freeze diff).
• Script to automate code linting, formatting (using black, flake8, isort).
• Develop a python --info clone that shows detailed interpreter config.
• Set up and test a pyproject.toml file for a sample module.
• Package a module and publish it to TestPyPI.
• Script to check environment memory usage while loading modules.
• Write a Python script that upgrades all installed packages safely.
• Program to back up and restore .py and .ipynb files in a directory.
• Use argparse to build a multi-command CLI utility tool.
• Compare CPython vs PyPy performance on a benchmark task.
• Automate logging and error capturing for all first-time scripts.
• Build a script to run code snippets interactively with audit logging.
• Create a "Getting Started Wizard" for first-time learners.
• Write a Python sandbox that runs code with restricted permissions.
• Variables and Data Types
• Implement dynamic type conversion using regex rules on string inputs.
• Auto-detect and correct mistyped literals (e.g., "5.0O" → "500").
• Create a type-tracer that logs type transitions across operations.
• Build a system to simulate memory-efficient representations (bitfields).
• Write a program that deep-checks nested data structure types.
• Simulate real-time data stream type validation using decorators.
• Create a tool that visualizes Python object memory layout.
• Build a mini schema validator for data (like JSON schema).
• Explore data coercion rules (like float+int, str*int) with examples.
• Type-safe expression evaluator (add type checks to an eval function).
• Program to convert mixed-type lists to homogeneous types.
• Create custom class TypeEnforcer to reject illegal type assignments.
• Dynamic variable inspector CLI using locals() and globals().
• Use mypy and typing to enforce type hints and generate reports.
• Build a program that tracks how often each data type is used.
• Create a symbolic type system to simulate type inference.
• Program to clean and standardize inconsistent data types in a CSV.
• Visualize type distributions in a dataset using a pie chart.
• Parse and evaluate expressions based on runtime-detected types.
• Use metaclasses to auto-type-check class properties.
• Operators
• Create a visual operator precedence tester with expressions.
• Implement a full infix → postfix → result evaluator using stack.
• Write a symbolic math engine using operator overloading.
• Build a spreadsheet-style formula evaluator supporting cells.
• Implement a binary expression tree from math strings.
• Create a vector class that supports all mathematical operators.
• Overload operators to simulate a Matrix class (with +, *, etc.).
• Build a simulator for circuit logic (AND, OR, NOT using bitwise ops).
• Create a filter expression parser (e.g., "age>30 and score<=80").
• Build a secure math expression evaluator (no eval()).
• Compare expression results across float/int/bool for precision.
• Implement a mini-language interpreter using custom operators.
• Develop a program to visualize operator evaluation order.
• Create a complex number calculator using class and operator overloading.
• Simulate a search engine filter logic using boolean operators.
• Build a finance calculator for tax slabs (tiered with conditions).
• Use bitwise operators to encode/decode permissions (Unix-style).
• Test short-circuit evaluation with custom objects and logs.
• Build a CLI tool that runs operator tests on user input.
• Create a GUI-based calculator supporting all operator types.
• Input and Output (Advanced)
• Build a CLI form handler that saves data in JSON/XML/CSV.
• Real-time data logger from user input to rotating file logs.
• Input validator that uses regex, length, type, and range checks.
• Password input tool with masking and strength meter.
• Create a reusable interactive menu system.
• Build a resume-builder CLI that outputs to Markdown and PDF.
• Implement a chatbot-like input collector with context.
• Save formatted user input into Excel using openpyxl.
• Use input() to take dynamic Python code and safely evaluate.
• Read and parse structured data input (YAML, XML).
• Create a console wizard that guides users through data entry.
• CLI survey that outputs charts of responses using matplotlib.
• Create a tool to validate and clean bulk data from user entries.
• Prompt user for input and send it via POST request to an API.
• Record input sessions and save as log with timestamps.
• Create a pseudo form validator with input loop + correction.
• Build a terminal app that accepts file paths and processes them.
• Develop a custom input prompt framework with templates.
• Validate and enrich contact details entered by the user (name/email).
• Build a script that generates a config file based on user inputs.

• Module 2: Control Structures

• Conditional Statements
• Custom Grading System – Assign letter grades with optional GPA scale.
• Tax Calculator – Slab-based income tax with deductions and surcharges.
• Loan Eligibility Checker – Based on salary, credit score, age.
• Nested Condition Analyzer – Debug tool to visualize if-elif-else flow.
• Advanced BMI Categorizer – Classify health risk using BMI + age + gender.
• Eligibility Checker for Competitive Exams – Uses multiple nested conditions.
• Age-based Access Control System – Assign privileges by age groups.
• Custom Rule Engine – Accepts user-defined conditions and evaluates.
• Dynamic If-Else Generator – Take user conditions and generate Python code.
• Compare 3 or More Objects (Scores, Distances) – With tie-break logic.
• Medical Diagnosis Rule Checker – Use conditions to suggest possible symptoms.
• Electricity Bill Estimator – Different rates for tiers of usage.
• Scholarship Eligibility Calculator – Uses multi-param criteria.
• Compare Dates or Time Intervals – Determine recency, time left, etc.
• Smart Calculator with Conditional Error Checks – e.g., divide-by-zero, invalid op.
• Credit Card Approval Simulator – Based on income, age, history.
• Multi-Language Greeting System – Based on input locale.
• Dynamic Pricing Model – Based on season, demand, location.
• Insurance Premium Estimator – Based on driver’s profile.
• Hotel Room Assignment Logic – Based on group size and preferences.
• Looping Statements - (for, while)
• Pattern Generator Engine – Choose shape, size, and symbol.
• Sudoku Grid Validator – Iterate through rows, cols, and subgrids.
• Prime Number Counter with Stats – Count, sum, mean of all primes in range.
• Progress Bar Animation in Terminal – Simulated loading loop.
• Calendar Renderer – Print calendar view using nested loops.
• Reverse Multiplication Table Generator – From N to 1 in rows.
• Factorial Table Generator – Show factorials of first N numbers.
• User Login System with Retry Limit – Allow 3 attempts.
• Simulate Bank ATM Menu – Loop with transaction types.
• Loop-Based Art Generator (ASCII) – Complex figures using logic.
• Iterate Over Nested JSON – Parse and print key-value tree.
• Custom Loop Breaker – Use input to break or continue dynamically.
• Dynamic Loop Builder from Text Input – Convert plain rules to loops.
• Pyramid Pattern with Alphabets or Numbers – Custom alignment.
• User Polling System – Loop to take repeated survey inputs.
• Fibonacci Sequence Analyzer – Find nth term, sum, average.
• Interactive Flashcards in a Loop – Present until mastery.
• Simulation: Car Fuel Consumption Until Empty – Break loop at 0.
• Calculate Compound Interest Year by Year – Show yearly breakdown.
• Time Tracker: Display Clock Every 1 Sec – Stop after N seconds.
• Loop Control Statements (break, continue, pass)
• Password Validator with Break on Success – Retry until valid input.
• Loop Skipping Specific Conditions – e.g., skip weekends in date loop.
• Data Cleaning with Continue – Skip invalid rows in list of dicts.
• Game Menu Loop with Break to Exit – Continue looping until “exit”.
• Log Scanner: Stop at First Error Entry – Demonstrate break.
• Prime Finder with Pass Placeholder for Future Optimizations.
• Custom Retry Mechanism with Break and Counter.
• Loop Through Sensor Data – Continue if Reading < Threshold.
• Shopping Cart Simulator – Exit loop when budget exhausted.
• Pass as Empty Handler in Function Loops.
• Email List Parser – Skip Invalid Emails using Continue.
• For-Else Loop Example – Search for Item, Confirm if Not Found.
• Simulate Elevator Stops – Skip Out-of-Order Floors.
• Simulate Turn-Based Game – Use Continue for Skipped Turn.
• Log Parser with Multiple Exit Conditions.
• Interactive Quiz – Break After 3 Wrong Answers.
• Random Number Generator – Pass if Even, Stop on Divisible by 7.
• Skip Comments While Reading a File.
• Fast Search in Dataset – Break on First Match, Pass on Errors.
• Infinite Menu Loop with Controlled Break.

• Module 3: Functions and Recursion

• Defining and Calling Functions
• Function to Auto-Format Report Cards – Accepts data and prints styled output.
• Keyword-Only Argument Enforcer – Prevents positional usage.
• Function to Summarize Dataset – Mean, median, mode, range with *args.
• Create a Function Registry – Dynamically register callable functions.
• Function that Returns Multiple Statistical Results – e.g., mean, std, var.
• Decorator-Free Memoization with Function Wrapping.
• Factory Function That Returns Specialized Functions.
• Function Call Logger with Timestamps (using datetime).
• Function that Accepts Another Function and Logs Its Output.
• Multiple Argument Handling with Type Enforcement.
• Build a Secure Eval Function That Limits Scope.
• Dynamic Function Calling from a String (using globals()).
• Function to Perform Chained Transformations on Text.
• Higher-Order Function: Accepts Sorting Rule as Function.
• Create a Timer Wrapper for Any Callable.
• Function to Recursively Flatten Nested Lists.
• Function that Builds Markdown Tables from Nested Lists.
• Function to Convert Dictionary to Query String.
• Function with Dynamic Default Value Generator.
• Function Comparison Tool (compares logic by AST).
• Arguments and Parameters
• Function to Accept Unlimited Named Arguments and Return JSON.
• Create a Flexible Currency Converter Using **kwargs.
• Dynamic Calculator Function Using *args.
• Logger Function That Accepts Log Type and Metadata as kwargs.
• Function That Accepts Rules and Applies to List (like filter).
• Build Function Dispatcher with Argument Inspection.
• Convert Flat Args into Nested Dictionary Structure.
• Type Annotated Function With Runtime Type Checking.
• Argument Handler for CLI Tools Using argparse.
• Simulate API Call Signature with Optional/Required Parameters.
• Build Template Renderer Using Named Placeholders.
• Create Default Parameter Based on Other Inputs.
• Use inspect to Analyze Function Parameters.
• Function that Accepts Inputs from YAML File and Executes Task.
• Dynamic Field Validator Function With Rules Passed as kwargs.
• Named Parameter Resolver With Defaults and Fallbacks.
• Function With Error Reporting for Each Argument.
• Parameter Flattening Utility Function.
• Function Overloader That Chooses by Argument Count.
• Smart Validator With Switchable Rules via kwargs.
• Lambda, map, filter, reduce
• Use map to Clean, Normalize, and Standardize CSV Data.
• Use filter to Remove Incomplete or Corrupt Records.
• Use reduce to Perform Cumulative Summation of Dataset.
• Use Lambda for Dynamic Sorting Rules (length, frequency, etc.).
• Lambda for Generating Fibonacci Sequence in List Comprehension.
• Custom Lambda-Based Encryption for Strings.
• Pipeline System Using map → filter → reduce on JSON Records.
• Lambda to Validate Form Fields Based on Type Rules.
• Chained Lambdas for Text Cleanup: Lowercase → Strip → Replace.
• Use map to Apply Markdown Formatting to a List of Strings.
• Use reduce to Calculate GCD/LCM of List of Integers.
• Use filter to Extract Users Over Age X with Score > Y.
• Lambda to Simulate Expression Evaluator (a op b).
• Create a Decorator That Replaces Function With a Lambda Dynamically.
• Create Nested Lambda for Polynomial Functions.
• Sort List of Dicts Using Lambda Keys with Fallbacks.
• Use map to Reformat Date Strings in Data.
• Build a Text Summarizer Using Lambda to Reduce Sentences.
• Lambda-Based Unit Converter Factory.
• Function to Create Lambda Chains Dynamically from Configs.
• Recursion
• Recursive Directory Scanner – Walks file system like os.walk().
• Recursive Tree Printer – For nested dictionaries or JSON structures.
• Recursively Flatten Any Nested List/Dict Structure.
• Solve Tower of Hanoi Problem and Print Steps.
• Find All Subsets (Power Set) of a Given List.
• Generate All Permutations of a String Recursively.
• Recursively Reverse a Linked List (or simulate with list).
• Solve a Maze Path Using Recursion and Backtracking.
• Binary Search Implementation (Recursive).
• Parse Nested Mathematical Expression (e.g., "3(2+1)").*
• Recursive Fibonacci with Memoization.
• Sudoku Solver Using Recursive Backtracking.
• Recursively Evaluate a JSON Rule Engine.
• Generate Pascal’s Triangle Recursively.
• Simulate File Copying with Nested Folders Recursively.
• Count Leaf Nodes in a Tree Represented with Nested Lists.
• Solve N-Queens Problem Using Recursion.
• Recursive Web Crawler (Limit by Depth).
• Expression Tree Evaluation Recursively.
• Recursive Palindrome Checker with Substring Reduction.