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100daysofcode

My #100DaysOfCode repo

Day What's done What's learnt & other notes
1 script notifying about new AP posts by e-mail email sending, feedparser module
2 script for constructing a social graph in waves Twitter API, networkx module
3 AP updater refactoring Separate logic for email sending and feed parsing
4 Script that creates GIFs from one image Pillow module
5 Youtube video to GIF converter pytube & moviepy modules
6 Graph spectral clustering algorithm and VK graph vk module, new algorithm
7 Scrabble word finder exploring itertools
8 Generators vs lists time comparison a lot of reading on generators and coroutines
9 Simple HTML parser script coroutines in Python
10 script that asyncio-ronously fetches URLs asyncio module and ideas behind it
11 AP updater Telegram bot exploring telegram module
12 Fixes for not-so-asynchronous URL-fetcher from day 11 aiohttp module
13 Script to asynchronously download images & comparison to sync aiofiles module
14 Script displaying contents of a pandas DataFrame in a widget ipywidgets module
15 Script that looks for RSS URLs on an html page regular expressions, BeautifulSoup
16 "Hello, world!" from Kotlin (script to check if input value is in the input range) basic syntax, i/o
17 Exploring functions in Kotlin & command line arguments basic syntax, functions
18 Maps, classes and other stuff in Kotlin more syntax
19 "Hello, world!" Android app basics of Android app structure & layout
20 Views actions in Kotlin a deeper dive into Android app structure
21 Interaction between Views actions a deeper dive into Android app structure
22 More Kotlin practice Null safety and constructors
23 More Kotlin practice Properties and more constructors
24 More Kotlin practice Reading about backing fields
25 Previous code modified according to the official coding conventions Kotlin coding conventions
26 Added more classes and inheritance to the same code file abstract classes, interfaces, inheritance, extensions, pass-by-value
27 Updated vk graph with more records, new K-Means class for complex vectors (needs debugging) better code style, closer look at numpy
28 First draft of RSS reader in Kotlin getting to know IntelliJ and Kotlin(Java) projects
29 JAR of the first Kotlin project (RSS reader template) IntelliJ project structure and output
30 Followed through an NN tutorial notebook getting to know neural networks
31 Finished ComplexKMeans sklearn already has this algorithm, but it was nice to work through it myself
32 Actual graph clustering attempt it almost works)
33 Graph visualization & initial clustering drawing with networkx
34 Collected a bigger graph implemented a new algorithm for graph collection and rolled back to the old one (takes way too long)
35 Watched O'Reilly Kotlin course A more in-depth look into Kotlin features
36 Finished O'Reilly Kotlin course Java interoperability in Kotlin
37 Kotlin RSS reader structure Still need to add HTTP requests and emailing
38 Fixed existing functions and added dataset creation logic realized when to add decorators :)
39 Added dataset may change later
40 Fixed dataset creation code and gathered a dataset will possibly need a re-run
41 Finished Advanced Kotlin course infix & inline functions, a bit of coroutines, covariance
42 Fix graph visualization add specific function and fix waves labels
43 Graph construction fixed, new drawing functions description of waves is now accurate
44 Refactoring of how I work with graphs custom Graph class inhertied from nx.Graph and necessary adjustments
45 A test Gradle project & khttp in RSSReader gradle project structure, depndencies and a bit of testing
46 Added XML parsing to RSSReader RSS XML parsing
47 Added KMeans clustering on the dataset new function has options for clustering algorithms
48 Added drawing updates drawing each clustering result & switch to png
49 Added dataset TSNE visualization 2d and 3d looks at the data
50 Added new clustering and drawing updates DBSCAN algorithm
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51 Added dataset scaling and cluster information export for profiling StandardScaler used for the dataset

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