Day by Day Roadmap with Resources For #100daysofCode for Learning DSA And Android Developement

Here's a suggested roadmap for your #100DaysOfCode challenge, focusing on learning Data Structures and Algorithms (DSA) with C++ and developing an Android project:


 

Day 1: Introduction to DSA and Setting Up Environment

  • Familiarize yourself with the basics of Data Structures and Algorithms.
  • Install a C++ compiler (such as GCC or Clang) and an Integrated Development Environment (IDE) like Visual Studio Code or Code::Blocks.

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Day 2: Arrays and Strings

  • Learn about arrays and their operations, such as insertion, deletion, searching, and sorting.
  • Explore string manipulation techniques, including string concatenation, substring, and searching.

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Day 3: Linked Lists

  • Understand the concept of linked lists and their different types (singly linked list, doubly linked list, circular linked list).
  • Implement basic operations on linked lists like insertion, deletion, and traversal.

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Day 4: Stacks and Queues

  • Study stack and queue data structures, along with their operations.
  • Implement stack and queue using arrays and linked lists.

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Day 5: Recursion and Backtracking

  • Learn the fundamentals of recursion and how it can be used to solve problems.
  • Understand backtracking techniques and their applications.

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Day 6: Trees

  • Study binary trees, binary search trees, and their properties.
  • Implement tree traversal algorithms like preorder, inorder, and postorder.

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Day 7: Heap and Priority Queue

  • Learn about the heap data structure and its applications.
  • Implement a priority queue using heaps.

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Day 8: Hashing

  • Understand hashing and its use in data retrieval and storage.
  • Implement basic hash table operations like insertion, deletion, and search.

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Day 9: Sorting Algorithms

  • Study popular sorting algorithms like bubble sort, selection sort, insertion sort, merge sort, and quicksort.
  • Implement these algorithms and compare their time and space complexities.

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Day 10: Android Development Project

  • Begin working on an Android development project of your choice.
  • Set up the necessary tools and environment, such as Android Studio.

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Day 11: Graphs

  • Learn about graph data structures and their representations (adjacency matrix, adjacency list).
  • Explore graph traversal algorithms like depth-first search (DFS) and breadth-first search (BFS).

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Day 12: Dynamic Programming

  • Understand the concept of dynamic programming and its applications in solving optimization problems.
  • Study memoization and tabulation techniques for efficient dynamic programming solutions.

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Day 13: Advanced Data Structures

  • Dive into advanced data structures like trie, segment tree, and Fenwick tree (binary indexed tree).
  • Learn when and how to use these structures to solve specific problems efficiently.

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Day 14: Algorithmic Techniques

  • Explore algorithmic techniques like divide and conquer, greedy algorithms, and two-pointer technique.
  • Understand when to apply these techniques and their trade-offs.

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Day 15: Advanced Sorting and Searching

  • Study advanced sorting algorithms like heap sort, shell sort, and counting sort.
  • Explore advanced searching algorithms like binary search and interpolation search.

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Day 16: Android UI Design

  • Focus on designing user interfaces (UI) for Android applications.
  • Learn about layout XML files, views, and UI components.

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Day 17: Android Networking and APIs

  • Dive into networking concepts and working with APIs in Android development.
  • Understand how to make HTTP requests, handle responses, and parse JSON data.

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Day 18: Android Persistence

  • Learn about different persistence techniques in Android, such as using SQLite databases and shared preferences.
  • Implement data storage and retrieval functionalities in your Android project.

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Use this day to explore different methods of persisting data in Android applications and implement the appropriate technique in your project.

 

Day 19: Android Persistence

  • Learn about different persistence techniques in Android, such as using SQLite databases and shared preferences.
  • Implement data storage and retrieval functionalities in your Android project.

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Day 20: Android Multithreading and Asynchronous Programming

  • Understand the importance of multithreading and asynchronous programming in Android.
  • Learn how to perform background tasks and update the UI using threads, handlers, and AsyncTask.

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Day 21: Android Notifications and Services

  • Explore Android notifications and how to display them to the user.
  • Understand the concept of Android services and their usage for background tasks.

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Day 22: Android Debugging and Testing

  • Learn about debugging techniques and tools in Android development.
  • Understand the importance of testing and explore different testing frameworks for Android.

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Day 23: Advanced Android Topics (Optional)

  • Choose an advanced topic based on your interests, such as location-based services, sensors, or working with media.
  • Dive deeper into the chosen topic and implement relevant functionalities in your Android project.

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Day 24-100: Project Development and Practice

  • Dedicate the remaining days to working on your Android project, applying the DSA concepts you've learned, and refining your coding skills.
  • Continuously practice problem-solving with coding challenges and interview-style questions to strengthen your algorithmic thinking.

Remember to adapt the roadmap based on your progress and interests. Explore additional resources, participate in coding communities, and seek help when needed. Best of luck with your #100DaysOfCode challenge!

 








Also Read : Getting started with #100daysofcode


Also Read : Day by Day Roadmap For #100daysofCode for Learning DSA And Android Developement

Also Read:#100daysofcode for DSA and Android Development - Roadmap for Final Year Engineering Students in 2023

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