Introduction to Data Structure in python
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Paper 107 | From Watchdog to Lapdog: Ishiguro’s Fiction and the Rise of “Godi...Rajdeep Bavaliya Dive into a captivating analysis where Kazuo Ishiguro’s nuanced fiction meets the stark realities of post‑2014 Indian journalism. Uncover how “Godi Media” turned from watchdog to lapdog, echoing the moral compromises of Ishiguro’s protagonists. We’ll draw parallels between restrained narrative silences and sensationalist headlines—are our media heroes or traitors? Don’t forget to follow for more deep dives!
M.A. Sem - 2 | Presentation
Presentation Season - 2
Paper - 107: The Twentieth Century Literature: From World War II to the End of the Century
Submitted Date: April 4, 2025
Paper Name: The Twentieth Century Literature: From World War II to the End of the Century
Topic: From Watchdog to Lapdog: Ishiguro’s Fiction and the Rise of “Godi Media” in Post-2014 Indian Journalism
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Video Link: https://youtu.be/kIEqwzhHJ54
For a more in-depth discussion of this presentation, please visit the full blog post at the following link: https://rajdeepbavaliya2.blogspot.com/2025/04/from-watchdog-to-lapdog-ishiguro-s-fiction-and-the-rise-of-godi-media-in-post-2014-indian-journalism.html
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Hashtags:
#GodiMedia #Ishiguro #MediaEthics #WatchdogVsLapdog #IndianJournalism #PressFreedom #LiteraryCritique #AnArtistOfTheFloatingWorld #MediaCapture #KazuoIshiguro
Keyword Tags:
Godi Media, Ishiguro fiction, post-2014 Indian journalism, media capture, Kazuo Ishiguro analysis, watchdog to lapdog, press freedom India, media ethics, literature and media, An Artist of the Floating World
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Introduction to Data Structure in python
- 1. Introduction to Data Structures With Simple Examples
- 2. Introduction This presentation will explore various data structures in Python, covering their definitions, features, and applications.
- 4. Definition and Importance Data structures are essential formats used to store, manage, and organize data efficiently. They enable quick access, modification, and storage of data, which is crucial for developing robust and scalable applications. In Python, understanding data structures helps developers choose the appropriate type based on their use-case requirements.
- 5. Built-in and Advanced Structures Python provides several built-in data structures including lists, tuples, sets, and dictionaries. Additionally, advanced structures can be implemented using libraries such as collections and NumPy. These structures cater to different needs—lists allow for ordered collections, while dictionaries offer fast key-value pair access.
- 6. Applications in Python Data structures in Python are crucial for optimizing algorithms and managing data efficiently. They are employed in various fields including web development, data analysis, machine learning, and scientific computing. Choosing the right data structure can greatly improve the performance of applications, particularly in handling large data sets and executing complex operations.
- 8. Lists and Tuples Lists are ordered and mutable collections that allow for dynamic data management, making them versatile for most applications. Tuples, on the other hand, are ordered and immutable, making them suitable for fixed data situations, such as representing coordinates or collections of related data that should not change.
- 9. Sets and Dictionaries Sets are unordered collections of unique elements, ideal for eliminating duplicates and performing membership testing. Dictionaries, or associative arrays, consist of key-value pairs, providing fast access to data via keys and catering to a wide range of data handling scenarios.
- 10. Stacks and Queues Stacks operate on a Last-In-First-Out (LIFO) principle, commonly used for tasks like undo operations in applications. Queues follow a First-In- First-Out (FIFO) principle, making them effective for scheduling tasks and managing processes that require sequential handling.
- 11. Conclusions In summary, mastering data structures in Python equips developers with the tools needed to build efficient and scalable applications. Understanding the characteristics and use cases of each structure helps in selecting the right one for specific tasks, ultimately enhancing performance and maintainability.
- 12. CREDITS: This presentation template was created by Slidesgo, and includes icons, infographics & images by Freepik Thank you! Do you have any questions? w w w . y o u r w e b s i t e . c o m