tutorials
Regular Expressions in Python
Master regular expressions in Python for pattern matching, text extraction, and string manipulation using the re module with practical examples.
#Python
40 articles tagged with "Python"
tutorials
Sending Emails and SMS with Python
Learn how to automate email and SMS sending in Python using SMTP for emails and third-party SMS gateways for text messages.
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Image Processing with Python
Learn how to process images in Python using the Pillow library, including reading, cropping, resizing, rotating, filtering, and drawing on images.
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Working with PDF Files in Python
Learn how to extract text from PDFs, rotate pages, encrypt documents, add watermarks, and create PDF files using Python libraries like PyPDF2 and reportlab.
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Working with Word and PowerPoint Files in Python
Learn how to automate document generation by manipulating Word and PowerPoint files using Python libraries like python-docx and python-pptx.
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Reading and Writing Excel Files in Python - Part 2
Master Excel file operations using openpyxl library in Python, including reading, writing, styling, formulas, and creating charts.
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Reading and Writing Excel Files in Python - Part 1
Learn how to read and write Excel files in Python using xlrd and xlwt libraries, including styling cells and performing formula calculations.
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Reading and Writing CSV Files in Python
Learn how to work with CSV files in Python using the csv module for data import, export, and processing tasks.
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Object Serialization and Deserialization in Python
Master JSON serialization in Python, learn to work with network APIs, and understand how to persist complex data structures to files.
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File I/O and Exception Handling in Python
Learn how to read and write files in Python, handle exceptions gracefully, and implement robust error handling for file operations.
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Loop Structures in Python
Master Python loop structures including for-in and while loops, break and continue statements, and nested loops for repetitive tasks.
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Python Conditional Statements
Master Python's branching structures using if-elif-else and match-case statements to create decision-making logic in your programs.
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Python Sets - Common Data Structures
Learn about Python sets, including set creation, operations, methods, and practical applications for handling unique collections of data.
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Working with Lists in Python - Part 2
Master Python list methods including adding, removing, sorting elements, list comprehensions, nested lists, and practical applications.
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Introduction to Object-Oriented Programming in Python
Learn the fundamentals of object-oriented programming in Python, including classes, objects, encapsulation, and how to model real-world entities.
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Advanced Object-Oriented Programming in Python
Dive deeper into Python OOP with visibility, dynamic attributes, static methods, class methods, inheritance, and polymorphism concepts.
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Python Lists - Part 2
Learn advanced list operations including methods for adding, removing, sorting elements, list comprehensions, nested lists, and practical applications.
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Python Operators
Master Python operators including arithmetic, assignment, comparison, and logical operators, with practical examples of temperature conversion and circle calculations.
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Python Conditionals and Loops in Practice
Master branch and loop structures through practical examples including prime numbers, Fibonacci sequence, narcissistic numbers, and the CRAPS gambling game.
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Object-Oriented Programming in Practice
Apply OOP concepts through practical examples including a poker game and payroll system, demonstrating inheritance, polymorphism, and abstraction.
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Your First Python Program
Learn how to write and run your first Python program using various tools including PyCharm, IPython, and Visual Studio Code.
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Advanced Function Applications in Python
Master Python decorators and recursive functions to write more elegant and powerful code with advanced function techniques.
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Python Strings - Common Data Structures
Learn about Python strings, including string definition, operations, methods, and practical applications for text processing.
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Advanced Function Usage in Python
Explore higher-order functions, lambda expressions, and partial functions to write more flexible and powerful Python code.
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Advanced Function Usage in Python
Explore advanced function concepts in Python including higher-order functions, lambda functions, and partial functions for more flexible code design.
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Python Lists - Part 1
Introduction to Python lists, including creation, operations, indexing, slicing, and iteration through practical examples.
tutorials
Introduction to Object-Oriented Programming in Python
Learn the fundamentals of object-oriented programming in Python, including classes, objects, encapsulation, and how to design and use objects effectively.
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Python Functions in Practice
Explore practical applications of Python functions through real-world examples including random verification codes, prime number checking, statistical calculations, and more.
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Object-Oriented Programming Applications in Python
Apply OOP concepts through practical examples including a poker game and salary settlement system, demonstrating abstraction, encapsulation, inheritance, and polymorphism.
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Python Variables
Learn about variables, data types, type conversion, and naming conventions in Python programming.
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Practical Applications of Branch and Loop Structures
Apply Python branch and loop structures through practical examples including prime numbers, Fibonacci sequences, narcissistic numbers, and classic problems.
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Working with Lists in Python - Part 1
Learn Python list fundamentals including creation, operations, indexing, slicing, and iteration for managing collections of data.
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Getting Started with Python Virtual Environments
Learn how to create and manage Python virtual environments to keep your project dependencies isolated and organized.
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Working with Tuples in Python
Learn about Python tuples, an immutable sequence type, including tuple operations, packing and unpacking, and comparisons with lists.
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Python Functions and Modules
Learn about Python functions and modules, including function definition, parameters, return values, and how to organize code with modules.
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Advanced Function Applications - Decorators and Recursion
Master Python decorators and recursive functions to write more elegant and powerful code with advanced function techniques.
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Introduction to Python
Learn about Python's history, advantages, and how to install the Python environment on Windows and macOS systems.
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Python Dictionaries - Common Data Structures
Learn about Python dictionaries, including dictionary creation, operations, methods, and practical applications for storing key-value pairs.
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Python Loop Structures
Learn how to use for-in and while loops in Python, including break, continue, and nested loops for efficient code repetition.
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Python Tuples
Learn about Python tuples, an immutable data type, including tuple operations, packing and unpacking, and how tuples compare to lists.