Technogic
Learn Python modules and packages: imports, __init__.py, packaging, dependencies, and best practices for clean, reusable, and scalable code.
Learn how to use Python’s lambda and higher‑order functions for clean, reusable, functional-style code—complete with examples, best practices, and tips.
Confused between Django’s ArrayField and JSONField? Learn their differences, advantages, limitations, and best practices to choose the right one for your project.
Learn Python’s variable scope and lifetime with the LEGB rule—local, enclosing, global, built‑in scopes, global/nonlocal, and memory management.
Learn how to pass inputs and return results in Python functions—from positional, keyword, and default arguments to *args, **kwargs and value returns.
Learn how to define and call functions in Python—covering structure, naming conventions, docstrings, and best practices to write clean, reusable code.
Learn everything about Python dictionaries—from creation and access to nested structures, performance, and advanced usage patterns. Perfect for beginners and seasoned developers.
Learn how Python sets handle unique, unordered collections with fast operations—covering creation, methods, set algebra, and real-world use cases.
Discover what Python tuples are, their immutability, use cases, syntax, and why they're faster and safer than lists—ideal for fixed collections and function returns.
Explore how to create, index, slice, and manipulate Python lists efficiently. Includes best practices for shallow vs deep copies, list methods, and real-world use cases.
Explore advanced Python looping: learn nested loops and the unique loop‑else clause. Get clear examples and best practices for readable code.
Discover how to control Python loops using break, continue, and pass. Learn practical examples and best practices to write cleaner, efficient code.
Learn Python loops with clear examples: iterate using 'for' and 'while', avoid common pitfalls, and apply Pythonic best practices like enumerate() and zip().
Learn how to use Python’s match-case statement for structural pattern matching. Write cleaner, more expressive code with patterns, guards, and advanced matching techniques.
Learn how to use Python’s if, elif, and else statements with clear syntax, examples, common pitfalls, and best practices for writing effective conditional logic in your programs.
Discover how Python evaluates expressions using operator precedence and associativity. Learn through practical examples to write clearer, bug-free code.
Explore Python's advanced operators—bitwise, compound assignment, identity, and membership—with clear explanations and practical examples to enhance your coding proficiency.
Learn how to use arithmetic, comparison, and logical operators in Python with clear examples, common pitfalls, and practical tips. Build a strong foundation for writing clean and efficient code.
Understand Python's type conversion and casting with clear examples. Learn implicit and explicit conversions to write efficient, error-free code.
Learn about Python variables, key data types, and the difference between mutable and immutable objects with simple examples and best practices.
Explore the key differences between Python's interactive shell and script execution, with practical examples and tips to choose the best approach for your programming needs.
Learn the fundamentals of Python syntax and the importance of indentation in structuring your code. Discover common mistakes and practical tips to write clean, error-free Python programs.
Learn how to write and run your first Python program. This beginner-friendly guide covers the print() function, user input with input(), handling basic errors, and running scripts effectively.
Learn how to install Python on Windows, macOS, and Linux, set up Visual Studio Code, create a virtual environment, and run your first Python program. A step-by-step guide for beginners.
Discover what Python is, explore its history from inception to the latest version, and learn about its key features that make it one of the most popular programming languages today.
Learn caching in Python with custom implementations, built-in tools like lru_cache, third-party libraries, and distributed solutions like Redis for faster, efficient apps.
Learn how to use Python's special methods and operator overloading to create intuitive, efficient custom classes.
Learn everything about classes and objects in Python, including attributes, methods, and real-world use cases, in this beginner-friendly guide.
Dive deep into Object-Oriented Programming (OOP) in Python. Understand core concepts like abstraction and explore real-world applications to write clean, efficient, and scalable code.
Master advanced Python decorators with arguments, class-based patterns, async support, and debugging tips. A complete guide for experienced developers.
Learn Python decorators step-by-step with real examples, built-in functions, and best practices to write cleaner, more powerful code.
Compare Angular's navigateByUrl() and navigate() methods. Learn their differences, use cases, and best practices for clean, effective routing.
Learn the differences between Angular Modules and Angular Libraries, including their purpose, use cases, best practices, and how standalone components in Angular 18 impact your architectural choices.
