Python Tutorials
Our Python tutorials provide a comprehensive curriculum for learning this versatile programming language. They cover Python basics, advanced concepts, and popular libraries, suitable for both beginners and experienced developers. Through hands - on labs and real - world code examples, you'll gain practical Python programming experience. Our interactive Python playground allows you to test different Python features and see immediate results.
Python Interview Questions and Answers
Comprehensive guide to Python interview questions and detailed answers. Covers fundamental concepts, data structures, algorithms, and common libraries.
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Online Python Interpreter and Playground
LabEx provides an Online Python Interpreter and Playground, an online environment that allows you to quickly set up a Python programming environment for learning and experimentation.
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Online Matplotlib Playground
LabEx provides an Online Matplotlib Playground, an online environment that allows you to quickly set up a Python environment for data visualization.
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Testing Your Code
In this lab, we will learn how to write unit tests for our Python code using the built-in unittest module. We will start with a simple function and then build up to testing more complex code, including code that interacts with databases.
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Python SQLite3 Programming
In this lab, we will be working with the sqlite3 module in Python. SQLite is a popular lightweight relational database management system that is often used for embedded systems and mobile applications. It is also commonly used for small web applications or other projects that require a small database.
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Python Development Tools
In this lab, you will explore various tools for Python development, including the standard interactive mode, IPython for enhanced interaction, Vim for script writing, and IDLE for integrated development. Gain practical experience with different Python development workflows.
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Manipulate Lists in Python
In this lab, you will gain hands-on experience manipulating lists in Python, a fundamental data structure. You will learn to create, access, add, remove, modify, sort, query, and nest lists. By the end, you'll effectively work with lists to manage and process data in your Python programs.
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Add Comments in Python
In this lab, you will learn the importance and practical application of comments in Python programming. Comments are essential for making your code understandable to humans, which is crucial for maintenance and collaboration, especially as programs grow in complexity. You will explore different types of comments and understand how to use them effectively.
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Define and Use Functions in Python
In this lab, you will learn how to define and use functions in Python. Functions are essential for organizing code and promoting reusability. You will begin by understanding the concept of functions and exploring Python's built-in functions, learning how to call them with parameters and observe their output. Following the exploration of built-in functions, you will learn how to define your own simple functions. Finally, you will practice calling these user-defined functions to execute the code blocks they contain, solidifying your understanding of function creation and usage in Python.
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Documenting Python Functions with Docstrings
In this lab, you will learn the importance of documenting your Python code using docstrings. We will explore how to access existing docstrings for built-in functions using the help() function and the __doc__ attribute. Furthermore, you will gain practical experience in writing your own docstrings for custom functions and verifying their accessibility using the help() function, making your code more understandable and maintainable.
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Handle Exceptions with try except in Python
In this lab, you will learn how to effectively handle exceptions in Python using the `try...except` statement. We will explore how to catch specific exceptions like `ValueError`, handle multiple exception types, and execute code regardless of whether an exception occurred using `else` and `finally` blocks. You will also learn how to raise custom exceptions to signal specific error conditions in your code. Through hands-on exercises, you will gain practical experience in writing robust and error-tolerant Python programs.
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Conditional Statements in Python
In this lab, you will learn how to control the flow of your Python programs using conditional statements. We will begin by understanding the concept of sequential program execution and then introduce conditional logic as a way to enable programs to make decisions. You will implement single, dual, and multi-branch logic using if, if-else, and if-elif-else statements. The lab will also cover nested if statements, the pass statement, and introduce the match-case statement (Python 3.10+). By the end of this lab, you will be able to write Python code that executes different blocks of instructions based on specific conditions.
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Manage Dictionaries in Python
In this lab, you will gain hands-on experience managing dictionaries in Python. Dictionaries are essential data structures for storing data in key-value pairs. You will learn how to create and inspect dictionaries, access and modify elements, add and delete elements, and explore dictionary view objects.
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Use Tuples in Python
In this lab, you will gain a comprehensive understanding of tuples in Python. You will learn how to create tuples, access their elements using indexing and slicing, and explore how to modify them through techniques like slicing and concatenation, keeping in mind their immutable nature. Furthermore, you will delve into tuple operators and unpacking, discovering how to efficiently work with tuple data. Finally, you will explore and utilize common built-in tuple functions and methods to perform various operations on tuples.
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Explore Special Methods in Python Classes
In this lab, you will delve into the fascinating world of Python's special methods, often referred to as "dunder" methods. You will gain a practical understanding of how these methods influence the behavior of your classes and objects, exploring __new__, __del__, __slots__, and __call__.
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NumPy Universal Functions
In this lab, we will explore the basics of NumPy Universal Functions (ufuncs). Ufuncs are functions that operate on ndarrays in an element-by-element fashion, supporting array broadcasting, type casting, and other standard features. We will learn about the different methods of ufuncs, broadcasting rules, type casting rules, and how to override ufunc behavior.
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Define Classes and Objects in Python
In this lab, you will learn the fundamental concepts of Object-Oriented Programming (OOP) in Python. We will explore how to define classes, which serve as blueprints for creating objects, and understand the relationship between classes and objects. You will then gain practical experience by creating and using instances of your defined classes. The lab will guide you through initializing objects with the __init__ method to set their initial state and customizing their string representation using the __repr__ method for better debugging and readability.
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PEP 8 Code Style in Python
In this lab, you will learn how to apply the PEP 8 style guide to your Python code. PEP 8 provides recommendations for writing readable and consistent Python code, covering indentation, line length, spacing, and naming conventions. You will practice implementing guidelines, explore rules, and use autopep8 for automatic formatting.
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