╠═1 Python_Env_and_ETC
║░╠═1 brew
║░║░╠═1 linux brew install python3 pyenv pyenv-virtualenv autoenv
║░║░╠═2 mac brew install pyenv pyenv-virtualenv autoenv
║░║░╚═3 mac brew python3.7 : debugging error with multiprocessing
║░╠═2 conda
║░║░╠═1 install anaconda on linux
║░║░╠═2 install mini conda on mac
║░║░╠═3 create envs
║░║░╠═4 upgrade python on env
║░║░╠═5 remove envs
║░║░╠═6 pip install package
║░║░╠═7 pip install package -upgrade
║░║░╚═8 pip install pip -upgrade
║░╠═3 docker : python3 jupyter by tensorflow official image
║░╠═4 etc
║░║░╠═1 monkey path on python
║░║░╚═2 Zen of Python
║░╠═5 ipython
║░║░╚═1 create profile with disable jedi
║░╠═6 jupyter
║░║░╠═1 change font
║░║░╠═2 convert jupyter notebook to markdown
║░║░╠═3 jupyter kernel ipython --profile
║░║░╠═4 set password by manually
║░║░╠═5 short cuts for jupyter
║░║░╠═6 move cell up
║░║░╚═7 toggle scrolling of current cell
║░╠═7 pip
║░║░╠═1 pip install package # online
║░║░╠═2 pip install package # offline
║░║░╠═3 pip install xgboost==0.90 # specific version
║░║░╚═4 pip install pydot pydotplus graphviz # Need to installl the original graphviz (python package graphviz is just a wrapper)
║░╠═8 PyCharm
║░║░╚═1 Warning Unresolved reference warning
║░╚═9 Visual Studio Code
║░░░╚═1 Remote Server Debugging
╠═2 [밑바닥부터 시작하는 데이터 과학] 책
║░╠═1장 들어가기
║░║░╠═07 string
║░║░╠═10 counter : same like defaultdict
║░║░╠═10 defaultdict : dict + add new element if key is not exists in dict
║░║░╠═10 dict : key-value data structure
║░║░╠═10 wordcount : examples
║░║░╠═10 set : in operation is quick, reduce duplication
║░║░╠═12 control_statement : for, if-elif-else, continue, break
║░║░╚═13 Boolean : True, False, and, or, all, any
║░╠═2장 파이썬 속성 강좌
║░║░╠═01 sort list
║░║░╠═02 list comprehension
║░║░╠═03 Generator_Iterator : Use temparary and lazy index by Generator
║░║░╠═04 random : random(), seed(9), randrange(1,9), shuffle(range(10)), choice(range(10)), sample(range(10),5)
║░║░╠═05 ragular_expression : match, search, split, sub of re package
║░║░╠═06 Object-Oriented_Programming : Implement of Set
║░║░╠═07 functional_tool : Merge a function as a argument to another function
║░║░╠═08 enumerate : Use index and elements of list at the same time
║░║░╠═09 zip_argument_unpacking : Use zip and unzip for list
║░║░╚═10 args_kwargs : Unnamed args tuple and KeyWord args dict
║░╠═3장 데이터 시각화
║░║░╠═1 matplotlib : simple bar graph, line graph, scatter plot
║░║░╠═2 bar charts, historgram
║░║░╠═3 Line charts
║░║░╚═4 Scatter plots
║░╠═4장 선형대수
║░║░╠═1 Linear Algebra
║░║░╚═2 Matrix
║░╚═5장 통계
║░░░╠═5.1 데이터셋 설명하기
║░░░╠═5.1.1 중심 경향성 central tendency
║░░░╠═5.1.2 산포도 disperision
║░░░╠═5.2 상관관계 correlation
║░░░╠═5.3 심슨의 역설 Simpson's paradox
║░░░╠═5.4 상관관계에 대한 추가적인 경고 사항
║░░░╚═5.5 상관관계와 인과관계 Correlation and Causation
╠═3 Everyday_Programming
║░╚═1 Question
║░░░╚═1 question, note, solution
╠═4 Packages
║░╠═1 argparse
║░║░╠═1 argparse : add sub mul div
║░║░╚═2 argparse : sum
║░╠═2 collections defaultdict : defaultdict in defaultdict
║░╠═3 copy : shallow copy vs deep copy
║░╠═4 glob
║░║░╠═1 find folder and file by pathname
║░║░╚═2 find recursively
║░╠═5 gzip : file write and read
║░╠═6 hashlib
║░║░╚═1 md5 example
║░╠═7 ipywidgets : doc
║░║░╠═1 Button example
║░║░╚═2 Widgets example
║░╠═8 logging
║░╠═9 matplotlib
║░║░╠═1 Tutorial
║░║░║░╠═1 line plot
║░║░║░╠═2 bar plot
║░║░║░╠═3 histogram
║░║░║░╠═4 scatter plot
║░║░║░╚═5 figure, subplot, axes
║░║░╚═2 create and visualize data
║░║░░░╠═1 Approximating to user defined equation Y = a + bX + cX^2 + dX^3 : code, image
║░║░░░╚═2 Approximating K-Means : code, image
║░╠═10 no package : convert float to str with a fixed number of digits
║░╠═11 Numpy / Numpy Document
║░║░╠═1 Numpy Reference
║░║░║░╠═1 Array objects
║░║░║░║░╚═1 Data type objects (dtype) / example
║░║░║░╚═2 Routines
║░║░║░░░╠═1 Array creation routines
║░║░║░░░║░╠═1 numpy.meshgrid / example
║░║░║░░░║░╚═2 numpy.zeros / example
║░║░║░░░╠═2 Array manipulation routines
║░║░║░░░║░╚═1 numpy.column_stack / example
║░║░║░░░╠═3 Indexing routines
║░║░║░░░║░╚═1 numpy.nditer : iteration of multi dimension array / example
║░║░║░░░╠═4 Mathematical functions
║░║░║░░░║░╚═1 numpy.multiply / example
║░║░║░░░╠═5 Random sampling
║░║░║░░░║░╚═1 Random Generator
║░║░║░░░║░░░╠═1 normal / example : Draw random samples from a normal (Gaussian) distribution
║░║░║░░░║░░░╚═2 uniform / example : Draw samples from a uniform distribution
║░║░║░░░╚═6 Sorting, searching, and counting
║░║░║░░░░░╠═1 numpy.argmax / example
║░║░║░░░░░╚═2 numpy.argmin / example
║░║░╚═2 ETC : array into fair divided and combiled array of array
║░╠═12 os
║░║░╠═1 os.chmod : file
║░║░╠═2 os.path.exists : file and folder
║░║░╠═3 os.path.isdir : folder
║░║░╠═4 os.path.isfile : file
║░║░╚═5 os.remove : file
║░╠═13 perfplot : map funcs over numpy array for sqrt
║░╠═14 psycopg2 : string sql replace by dict
║░╠═15 pyautogui
║░║░╠═1 HandBrake GUI example
║░║░╚═2 keyboard macro
║░╠═16 shutil
║░║░╠═1 shutil.copy : file
║░║░╠═2 shutil.copytree : folder
║░║░╠═3 shutil.move : file and folder
║░║░╚═4 shutil.rmtree : folder
║░╠═17 sklearn
║░║░╠═1 Dendrogram
║░║░╚═2 Preprocessing MinmaxScaler
║░╠═18 sys : sys.stdout.write with string.format(variable)
║░╚═19 time : sleep
╠═5 Django
║░╚═1 Jump to Django on Wiki Docs
╠═6 Matrix Profile
║░╠═1 Tutorial with fake data : sin signal data
║░╠═2 Tutorial with real data : Kaggle Dataset NAB NYC Taxi
║░╚═3 Tutorial with real data : Kaggle Competition NYC Taxi fare prediction
╠═7 MultiProcessing
║░╠═1 multiprocessing : Cumulative Sum with Process as SIMD
║░╚═2 multiprocessing : Cumulative Sum with Pool as SIMD
╠═8 Pandas
║░╠═1 pandas documentation / API Reference
║░║░╠═1 Input/Output
║░║░║░╠═1 Flat file
║░║░║░║░╚═1 read_csv
║░║░║░║░░░╠═1 example : default, with index_col, date_parser
║░║░║░║░░░╚═2 example : with dtype
║░║░║░╠═2 Pickling
║░║░║░║░╚═1 read_pickle
║░║░║░║░░░╚═1 example
║░║░║░╚═3 SQL
║░║░║░░░╚═1 read_sql
║░║░║░░░░░╚═1 example
║░║░╠═2 General functions
║░║░║░╠═1 Data manipulations
║░║░║░║░╠═1 melt : example with pd.melt
║░║░║░║░╚═2 pivot : example with pd.pivot
║░║░║░╚═2 Top-level dealing with datetimelike
║░║░║░░░╚═1 to_datetime : example with pd.read_csv date_parser
║░║░╠═3 DataFrame / Constructor DataFrame
║░║░║░╠═1 pd.DataFrame : create df
║░║░║░╠═2 Attribues
║░║░║░║░╠═1 columns : example df.columns
║░║░║░║░╠═2 iloc : example df.iloc
║░║░║░║░╚═3 values : example df.values
║░║░║░╚═3 Methods
║░║░║░░░╠═1 apply
║░║░║░░░║░╚═1 example : apply to add columns, apply to get idxmin min
║░║░║░░░╠═2 copy, example : df.copy()
║░║░║░░░╠═3 drop, example : df.drop()
║░║░║░░░╠═4 idxmin, example : df.idxmin()
║░║░║░░░╠═5 iteritems, example : df.iteritems()
║░║░║░░░╠═6 iterrows, example : df.iterrows()
║░║░║░░░╠═7 itertuples, example : df.itertuples()
║░║░║░░░╠═8 merge, example : df.merge()
║░║░║░░░╠═9 min, example : df.min()
║░║░║░░░╠═10 rename, example : df.rename()
║░║░║░░░╠═11 sort_index, example : df.sort_index()
║░║░║░░░╠═12 sort_values, example : df.sort_values()
║░║░║░░░╠═13 squeeze, example : df.squeeze()
║░║░║░░░╠═14 sum, example : df.sum()
║░║░║░░░╠═15 to_csv, example : df.to_csv()
║░║░║░░░╚═16 to_numpy, example : df.to_numpy(), df.values
║░║░╠═4 Index objects
║░║░║░░░╠═1 pandas.Index.astype : example
║░║░║░░░╚═2 pandas.Index.dtype : example
║░║░╚═5 General utility functions
║░║░░░╚═1 Working with options : example : tmporarily use option_context()
║░╚═2 Tutorial
║░░░╠═1 Series : Create
║░░░╠═2 DataFrame : Create
║░░░╠═3 DataFrame : Indexing by Column
║░░░╠═4 DataFrame : Indexing by Row
║░░░╠═5 DataFrame : NaN
║░░░╠═6 DataFrame : Statistics Functions
║░░░╠═7 DataFrame : sort index and sort values
║░░░╠═8 DataFrame : unique and value_counts
║░░░╠═9 DataFrame : isin
║░░░╠═10 DataFrame : user_defined_func
║░░░╠═11 DataFrame : merge
║░░░╠═12 DataFrame : concatenate
║░░░╠═13 DataFrame : hierarchical index
║░░░╠═14 DataFrame : set_index
║░░░╠═15 DataFrame : stack
║░░░╠═16 DataFrame : groupby
║░░░╠═21 Lecutre 01 Korea SiDo df to plot
║░░░╠═22 Lecutre 02 Seoul Bike Station
║░░░╚═23 Lecutre 03 Seoul Bike History
╠═9 Plotly
║░╠═1 Plotly : histogram
║░╠═2 Plotly : bar plot
║░╠═3 Plotly : box plot
║░╠═4 Plotly : Time Series Interactive Visualization
║░╚═5 Plotly : Introduction
╠═10 Python3 Document
║░╠═1 Glossary
║░║░╚═1 generator : example use yield in generator
║░╠═2 Language Reference
║░║░╠═1 Compound statements
║░║░║░╚═1 with statement : example with open file read/write
║░║░╚═2 Simple statements
║░║░░░╚═1 The yield statement : example use yield in generator
║░╠═3 Library Reference
║░║░╠═1 Built-in Types
║░║░║░╠═1 String Methods
║░║░║░║░╚═1 str.find
║░║░╠═2 Concurrent Execution
║░║░║░╠═1 subprocess
║░║░║░║░╚═1 subprocess example : echo, ls
║░║░║░╚═2 queue
║░║░║░░░╚═1 queue example : put, get, qsize
║░║░╠═3 Data Compresssion and Archiving
║░║░║░╚═1 gzip
║░║░║░░░╚═1 gzip example : binary <-> gz, txt <-> gz
║░║░╠═4 Data Types
║░║░║░╠═1 calendar
║░║░║░║░╚═1 calendar.monthrange : example get weekdays of first day of month, last day of month
║░║░║░╚═2 datetime
║░║░║░░░╠═1 datetime.datetime.now(), example : current local date and time
║░║░║░░░╠═2 datetime.datetime.strftime() : example datetime to string
║░║░║░░░╠═3 datetime.datetime.strftime() strptime() format
║░║░║░░░╠═4 datetime.datetime.strptime() : example string to datetime
║░║░║░░░╚═5 datetime.datetime.timedelta() : example difference between datetime
║░║░╠═5 Functional Programming Modules
║░║░║░╚═1 Standard operators as functions
║░║░║░░░╚═1 string : operator is and ==
║░║░╠═6 Generic Operating System Service
║░║░║░╚═1 os
║░║░║░░░╠═1 os.listdir, example : os.listdir
║░║░║░░░╚═2 os.walk, example : os.walk
║░║░╠═7 Internet Data Handling
║░║░║░╚═1 json
║░║░║░░░╚═1 json example : json file <-> python dict
║░║░╚═8 Text Processing Services
║░║░░░╚═1 Regular expression operations
║░║░░░░░╚═1 re example : compile method, pattern obj, search method, match obj
║░╚═4 Tutorial
║░░░╠═1 Data Structures
║░░░║░╠═1 example : list.append(4)
║░░░║░╚═2 example : list.sort(key=lambda x:x[1])
║░░░╚═2 Errors and Exceptions
║░░░░░╚═1 example : Rasing Exception
╠═11 Algorithm
║░╚═1 Sort
║░░░╠═1 Bubble Sort
║░░░╚═2 Selection Sort
╚═99 Utility
░░╠═1 01_tree_to_contents.sh
░░╠═2 02_modify_contents.py
░░╠═3 03_modify_README.sh
░░╠═4 04_modify_number_of_head_on_README.py
░░╠═5 05_reNumber_Files.py
░░╠═6 06_reNumber_Folders.py
░░╠═7 07_switch_number_between_folders.py
░░╠═8 97_sync_target_file.py
░░╠═9 change_A_to_B
░░╠═10 contents
░░╠═11 jupyter notebook
░░╠═12 sync and delete folder from folder
░░╚═13 sync file
( ║░╠ ═ ╚ ░)