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Building Android Projects with Kotlin
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Pankaj Kumar, 2023
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Advanced Mechanics in Robotic Systems.pdf
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Advanced Mechanics in Robotic Systems
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Luis Maria Cabรกs Ormaechea, 2011
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Kunal Relan, 2019
Kunal Relan, 2019
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Homemade_Robots_10_Bots_You_Can_Build_with_Stuff.pdf
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Homemade Robots
Randy Sarafan, 2021
Randy Sarafan, 2021
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Microprocessor_Architecture,_Programming,_and_Applicatio.pdf
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Microprocessor Architecture, Programming, and Applications with the 8085
Ramesh S. Gaonkar, 2002
Ramesh S. Gaonkar, 2002
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Learning Kotlin.pdf
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Learning Kotlin
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Stack Overflow contributors
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Cross-Platform UIs with Flutter
Ryan Edge, 2022
Ryan Edge, 2022
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Create Graphical User Interfaces with Python.pdf
11.3 MB
โ
Book : Create Graphical User Interfaces with Python โ How to build windows, buttons, and widgets for your Python projects
โ Download now ๐
โ Download now ๐
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Sava_Y_ld_r_m,_Meysam_Asgari_Chenaghlu_Mastering_Transformers_Build.pdf
13.9 MB
Mastering Transformers
Savaล Yฤฑldฤฑrฤฑm, 2021
Savaล Yฤฑldฤฑrฤฑm, 2021
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Practice projects to consider:
1. Implement a basic search engine: Read a set of documents and build an index of keywords. Then, implement a search function that returns a list of documents that match the query.
2. Build a recommendation system: Read a set of user-item interactions and build a recommendation system that suggests items to users based on their past behavior.
3. Create a data analysis tool: Read a large dataset and implement a tool that performs various analyses, such as calculating summary statistics, visualizing distributions, and identifying patterns and correlations.
4. Implement a graph algorithm: Study a graph algorithm such as Dijkstra's shortest path algorithm, and implement it in Python. Then, test it on real-world graphs to see how it performs.
1. Implement a basic search engine: Read a set of documents and build an index of keywords. Then, implement a search function that returns a list of documents that match the query.
2. Build a recommendation system: Read a set of user-item interactions and build a recommendation system that suggests items to users based on their past behavior.
3. Create a data analysis tool: Read a large dataset and implement a tool that performs various analyses, such as calculating summary statistics, visualizing distributions, and identifying patterns and correlations.
4. Implement a graph algorithm: Study a graph algorithm such as Dijkstra's shortest path algorithm, and implement it in Python. Then, test it on real-world graphs to see how it performs.
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