Refactor the honk (again)

ahk/gif keyboard.ahk

@@ -1,26 +0,0 @@
-:*:a::https://tenor.com/view/a-dancing-dancing-a-pesing-gif-18704788
-:*:b::https://tenor.com/view/letter-b-dancing-gif-9063746
-:*:c::https://tenor.com/view/letter-c-dancing-gif-9063747
-:*:d::https://tenor.com/view/letter-d-dancing-gif-9063748
-:*:e::https://tenor.com/view/letter-e-gif-9063749
-:*:f::https://tenor.com/view/letter-f-gif-9063750
-:*:g::https://tenor.com/view/g-letter-dance-cartoon-gif-13894794
-:*:h::https://tenor.com/view/letter-h-gif-9063752
-:*:i::https://tenor.com/view/letter-i-gif-9063753
-:*:j::https://tenor.com/view/letter-j-dance-gif-9063754
-:*:k::https://tenor.com/view/letter-k-gif-9063755
-:*:l::https://tenor.com/view/red-alphabet-letter-dancing-letter-l-cartoons-gif-12084376
-:*:m::https://tenor.com/view/letter-m-dance-happy-gif-9063757
-:*:n::https://tenor.com/view/letter-n-gif-9063758
-:*:o::https://tenor.com/view/letter-o-gif-9063759
-:*:p::https://tenor.com/view/letter-p-gif-9063760
-:*:q::https://tenor.com/view/letter-q-gif-9063761
-:*:r::https://tenor.com/view/letter-r-gif-9063762
-:*:s::https://tenor.com/view/letter-s-gif-9063763
-:*:t::https://tenor.com/view/letter-t-gif-9063764
-:*:u::https://tenor.com/view/letter-u-gif-9063765
-:*:v::https://tenor.com/view/letter-v-gif-9063766
-:*:w::https://tenor.com/view/letter-w-gif-9063767
-:*:x::https://tenor.com/view/letter-x-gif-9063768
-:*:y::https://tenor.com/view/letter-y-gif-9063769
-:*:z::https://tenor.com/view/letter-z-gif-9063770

python/calculators/binomial distribution.py

@@ -9,7 +9,6 @@ def nCr(n, r):
 
 def binomial(x, n, p):
     q = 1 - p
-
     return nCr(n, x) * (p**x) * (q**(n-x))
 
-print(binomial(5, 100, 0.1))
+print(binomial(5, 100, 0.1))

python/data science/facebook.py

@@ -31,4 +31,4 @@ for td1, td2 in zip(tds[::2], tds[1::2]):
 
 # Save the data
 df = pd.DataFrame(data)
-df.to_csv(os.path.dirname(os.path.realpath(__file__)) + '/fbPercentActive_res.csv')
+df.to_csv(os.path.dirname(os.path.realpath(__file__)) + '/facebook.csv')

python/data science/fakejobs.py

@@ -27,4 +27,4 @@ for job in jobs:
 
 # Save the data
 df = pandas.DataFrame(data)
-df.to_csv(os.path.dirname(os.path.realpath(__file__)) + '/fakejobs_res.csv')
+df.to_csv(os.path.dirname(os.path.realpath(__file__)) + '/fakejobs.csv')

python/gd/2stars.py

@@ -19,7 +19,7 @@ number = 0
 page = getPage(number)
 lines = []
 
-file = open(os.path.dirname(os.path.realpath(__file__)) + '/2stars_res.csv', 'r+')
+file = open(os.path.dirname(os.path.realpath(__file__)) + '/2stars.csv', 'r+')
 file.truncate(0)
 
 while page != -1:

readme.md

@@ -11,20 +11,20 @@
 
 - [Data Science](python/data%20science)
   - [Fake Jobs Scraper](python/data%20science/fakejobs.py)
-  - [Country Population vs Active Facebook Users in the Country](python/data%20science/fbPercentActive.py)
-  - [ngrams Word Popularity](python/data%20science/wordPopularity.py)
+  - [Country Population vs Active Facebook Users in the Country](python/data%20science/facebook.py)
+  - [ngrams Word Popularity](python/data%20science/ngrams/word%20popularity.py)
 - [Calculators](python/calculators)
-  - [Binomial Distribution](python/calculators/Binomial%20Distribution.py)
-  - [Pearson's Product-Moment Correlation Coefficient](python/calculators/PMCC.py)
-  - [Quadratic nth Term](python/calculators/Quadratic%20nth%20Term.py)
-  - [Square Root](python/calculators/Square%20Root.py)
-  - [Spearman's Rank Correlation Coefficient](python/calculators/SRCC.py)
-  - [Standard Deviation](python/calculators/Standard%20Deviation.py)
+  - [Binomial Distribution](python/calculators/binomial%20distribution.py)
+  - [Pearson's Product-Moment Correlation Coefficient](python/calculators/pmcc.py)
+  - [Quadratic nth Term](python/calculators/quadratic%20nth%20term.py)
+  - [Square Root](python/calculators/sqrt.py)
+  - [Spearman's Rank Correlation Coefficient](python/calculators/srcc.py)
+  - [Standard Deviation](python/calculators/stdev.py)
 - [osu!](python/osu!)
-  - [PP from Beatmap ID](python/osu!/ppFromID.py)
+  - [PP from Beatmap ID](python/osu!/pp.py)
 - [Geometry Dash](python/gd)
   - [2 Stars List](python/gd/2stars.py)
-- [Pygame Pong](python/pygame%20pong)
+- [Pong (made with Pygame)](python/pong)
 - [pythonchallenge.com](python/pythonchallenge.com)
 - [r/dailyprogrammer](python/dailyprogrammmer)
 
@@ -49,7 +49,7 @@
     - [Eco Fest](coursework/gcse%20computer%20science/year%209/web/eco%20fest)
     - [Pet Planet](coursework/gcse%20computer%20science/year%209/python/web/pet%20planet)
 
-- [Year 10 (All Python)](coursework/gcse%20computer%20science/year%2010)
+- [Year 10](coursework/gcse%20computer%20science/year%2010)
   - [Calculator](coursework/gcse%20computer%20science/year%2010/calculator)
   - [Cat or Dog](coursework/gcse%20computer%20science/year%2010/cat%20or%20dog)
   - [Mark Analyser](coursework/gcse%20computer%20science/year%2010/mark%20analyser)
@@ -59,7 +59,3 @@
   - [Raspberry Pie Game](coursework/gcse%20computer%20science/year%2010/raspberry%20pie%20game)
   - [API Hangman](coursework/gcse%20computer%20science/year%2010/API%20Hangman.py)
   - [Temperature Bar Chart](coursework/gcse%20computer%20science/year%2010/Temperature%20Bar%20Chart.py)
-
-### AHK (Auto Hot Key)
-
-- [GIF Keyboard](ahk/gif%20keyboard.ahk)