matplotlib

Author: mincloud1501

.ipynb_checkpoints/Untitled-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

.ipynb_checkpoints/Untitled1-checkpoint.ipynb

@@ -2,10 +2,16 @@
 [![Gitter chat](https://img.shields.io/badge/Chat-Gitter-ff69b4.svg?label=Chat&logo=gitter&style=flat-square)](https://gitter.im/Python_Project/community) 
 ![](https://img.shields.io/github/repo-size/mincloud1501/Python.svg?label=Repo%20size&style=flat-square) 
 
-### All Codes implemented in Python (for Study)
+### All Codes implemented in Python (with Jupyter Notebook)
 
 These implementations are for learning purposes. They may be less efficient than the implementations in the Python standard library.
-Use PyCharm Community Edition.
+Use Jupyter Notebook & PyCharm Community Edition.
+
+#### ■ Python Data Analytic Library
+
+- [![Sources](https://img.shields.io/badge/출처-NumPy-yellow)](http://matplotlib.org) : 벡터 및 행렬 계산에 편의를 제공하는 라이브러리로 pandas,matplotlib의 기본 base library
+- `pandas` : 고유하게 정의된 자료 구조를 활용해서 빅데이터를 분석 가능, 기존 Excel로 가능했던 모든 분석을 scale과 속도 개선
+- [![Sources](https://img.shields.io/badge/출처-matplotlib-yellow)](http://matplotlib.org) : numpy와 pasndas를 통해 얻은 데이터 분석결과를 시각화 해주는 라이브러리
 
 ## Time Series Analytics with Pandas (On Windows)
 
@@ -43,7 +49,7 @@ Solving environment: done
 
 The following packages will be downloaded:
 
- package |  build
+ package |	build
  ---------------------------|--------------------------------
  ca-certificates-2018.03.07 | 0 155 KB
  certifi-2018.4.16 | py36_0 143 KB
@@ -63,17 +69,29 @@ The following packages will be SUPERSEDED by a higher-priority channel:
 ### ■ Setup & Run
 
 ```
-git clone https://github.com/mincloud1501/Python.git
+> git clone https://github.com/mincloud1501/Python.git
 ```
 - Install the environment for this hands-on by running:
 ```
-cd Python/
-conda activate mincloud
-python -m ipykernel install --name mincloud --user
-jupyter notebook --port=8888
+> cd Python/
+> conda activate mincloud
+> python -m ipykernel install --name mincloud --user
+> jupyter notebook --port=8888
 ```
 
-## Community Channel
+## USEFUL SHORTCUTS (Jupyter Notebook)
+```js
+run_and_pass = 'Shift + Enter'
+run_and_add_cell = 'Alt + Enter'
+run_and_stay = 'Ctrl + Enter'
+
+recommendations = 'Tab'
+docstrings = 'Shift + Tab'
+
+add_hashtag = 'Ctrl + /'
+add_cell = 'b'
+delete_cell = 'dd'
+```
 
 ## Category
 

Data_Analytics_Matplotlib/use_matplotlib.ipynb

@@ -0,0 +1,44 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "!pip install wordcloud"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "from wordcloud import WordCloud"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.6.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}