Been away from Twitter for a while, just coding and learning on my own. Learned a lot from Twitter, so now I'm back for more self accountability! Feeling good about graph theory and OOP today, material is starting to flow a lot more smoothly.
Started off with some Big O thoughts with my coffee today. In #AtomicHabits , the author talks about getting 1% better each day. After 365 days, that translates to ~37x improvement. At 100 days, it's ~2.7x improvement. This is the end of my #100DaysOfCode#100DaysOfPython 🎉🐍🙇♂️
Day 99
Back to liking pandas again. Such a beautiful library. Stay tuned for next week when I'm pulling my hair out again. Also got to some new data structure material, learning about stacks, queues, linked lists.
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Day 98
Didn't feel like I've gotten much done today. Kept on working on the Nobel prize data analysis. Did a power set problem. I'll sleep soon and get more done this weekend.
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Day 97
Worked on Nobel Prize Analysis with pandas.
Worked on data science course - covered something about graphs, nodes, optimizations, power sets.
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Day 96
I always seem to have problems with IntelliSense on vscode - I'm not sure why I needed to change language servers again - oh well. Anyway, enrolled in data sci with Python course and did some Big O and greedy algorithm analysis.
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Day 95
I'm liking the book version of HTDP, so I've been working through that today. Did more Python OOP, I feel like pandas and Numpy making more sense. Data sci tomorrow.
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Day 94
Worked on How to Design Programs some more. Answered some Python related problems on OOP. I feel like some of this stuff is starting to click again.
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Day 92
Was working on visualizing film production costs and gross revenue today with pandas and seaborn. Also doing some class work.
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Day 91
Read parts of the Python Crash Course book, did a few lessons of Data Structures on SoloLearn, and just started reading about DFS and BFS. Tomorrow I'll focus on a project.
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Day 90
Completed Intermediate Python Course on SoloLearn, which is basically just a handful of extra exercises. Spent a bit of time searching for some good open source repos to read - not finding the usage that I need for learning yet.
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Day 89
Grinding through the built-in python libraries and a project to learn a thing or two. Also did some intermediate SoloLearn.
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Day 87
Worked through a chunk of SoloLearn Python today - about 80% done with Python Core. I hadn't seen the regular expression library before today, but will come in handy.
re.match
re.search
re.findall
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Day 85
I'm so rusty on linear algebra, I'll practically have to start from scratch if I want to learn this stuff properly. Numpy hard, me caveman. Read a large portion of a chapter on OOP, spent good time studying FOSS code 🔨
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Day 84
Learning NumPy, currently a little boggled by multiple dimensions. Well, baby steps.
Also played around with OOP a bit, and I feel a little bit better about OOP now. Attributes, methods and dunder making more sense now.
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Any Women of Color looking to break into a career in DevOps/Infra/SRE? I would like to share a network with you who is looking to hire Entry Level/Mid/Senior Engineers. Let me know!
#WomenWhoCode#womenintech#BlackTechTwitter#WomenInSTEM
Day 83
- Tinkered with vscode
- Went back to try and refactor/understand an old program from previous class
- Still trying to consolidate my data analysis days, I'm feeling some love/hate atm lol
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