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Assignments involving fundamental Python syntax, variable declarations, and basic data types like integers, strings, and floats.
Tasks involving the creation, manipulation, and analysis of lists and arrays, including operations like sorting and filtering.
Tasks that require the use of if-else statements, switch cases, and conditional expressions to make decisions in code.
Tasks related to reading from and writing to files, parsing data from external sources, and performing file operations.
Assignments related to for loops, while loops, and iterators for tasks like counting, filtering, or iterating through data.
Assignments involving dictionaries, key-value pairs, and operations like searching, updating, and deleting items.
Assignments that focus on defining functions, passing arguments, and returning values, as well as understanding built-in methods.
Object-Oriented Programming (OOP): Projects that introduce concepts like classes, objects, inheritance, polymorphism, and encapsulation.
Exception Handling: Assignments that require the use of try-except blocks to manage errors and exceptions in Python code.
String Manipulation: Tasks involving string operations, such as concatenation, slicing, formatting, and pattern matching using regular expressions.
Recursion: Assignments that explore recursive functions and algorithms for solving problems like factorial calculation or Fibonacci sequences.
Data Structures: Projects related to various data structures like stacks, queues, linked lists, and trees, including implementation and manipulation.
Database Integration: Assignments that require connecting Python applications to databases, performing CRUD operations, and handling data retrieval.
Web Development: Tasks focusing on web programming with frameworks like Django or Flask, involving routing, templating, and database integration.
Data Analysis: Projects related to data processing, cleaning, visualization, and statistical analysis using libraries like Pandas and Matplotlib.
Machine Learning: Assignments exploring machine learning algorithms, model training, evaluation, and prediction using libraries like scikit-learn or TensorFlow.
Network Programming: Tasks involving network socket programming, creating client-server applications, and handling data transfer over networks.
Concurrency and Multithreading: Assignments that introduce concepts of concurrency, parallelism, and multithreading for efficient task execution.
API Integration: Projects that require interfacing with external APIs, sending HTTP requests, and processing responses in Python applications.
Game Development: Tasks related to developing complex games using libraries like Pygame, involving graphics, animations, and user interactions.
Test Automation: Assignments that focus on automating software testing using frameworks like Selenium or pytest.
Scripting and Automation: Projects that involve writing Python scripts to automate routine tasks or system administration.
Natural Language Processing (NLP): Assignments related to advanced text analysis, sentiment analysis, and language processing using NLP libraries.
Web Scraping: Projects that require advanced techniques for extracting data from websites using libraries like Beautiful Soup or Scrapy.
Cybersecurity: Assignments involving advanced security-related tasks such as encryption, decryption, password hashing, and vulnerability analysis.
Robotics and IoT: Tasks related to programming robots, IoT devices, and sensors using Python libraries and frameworks for advanced applications.
Cloud Computing: Projects that integrate Python with advanced cloud services like AWS, Azure, or Google Cloud for scalable and distributed application deployment.
Big Data and Data Science: Assignments related to advanced data processing, analysis, and machine learning using tools like Hadoop, Spark, or Jupyter notebooks.