Part 03 : Numpy, Pandas, Matplotlib

目录

Lession 01 : Anaconda

Lession 02 : Jupyter Notebooks

Lession 03 : Numpy

Lession 04 : Pandas

Lession 05 : Matplotlib and Seaborn Part 1

Lession 06 : Matplotlib and Seaborn Part 2

Lession 01 : Anaconda

• Concept 01: Instructor
• Concept 02: Introduction
• Concept 03: What is Anaconda?

(tea_facts) [wlsh@wlsh-MacbookPro] ~$ conda deactivate

(tea_facts) [wlsh@wlsh-MacbookPro] ~$ 

(tea_facts) [wlsh@wlsh-MacbookPro] ~$ conda list
WARNING: The conda.compat module is deprecated and will be removed in a future release.
# packages in environment at /usr/local/anaconda3/envs/tea_facts:
#
# Name                    Version                   Build  Channel
ca-certificates           2019.1.23                     0  
certifi                   2019.3.9                 py37_0  
libcxx                    4.0.1                hcfea43d_1  
libcxxabi                 4.0.1                hcfea43d_1  
libedit                   3.1.20181209         hb402a30_0  
libffi                    3.2.1                h475c297_4  
ncurses                   6.1                  h0a44026_1  
openssl                   1.1.1b               h1de35cc_1  
pip                       19.1.1                   py37_0  
python                    3.7.3                h359304d_0  
readline                  7.0                  h1de35cc_5  
setuptools                41.0.1                   py37_0  
sqlite                    3.28.0               ha441bb4_0  
tk                        8.6.8                ha441bb4_0  
wheel                     0.33.2                   py37_0  
xz                        5.2.4                h1de35cc_4  
zlib                      1.2.11               h1de35cc_3  

(tea_facts) [wlsh@wlsh-MacbookPro] ~$ conda install numpy pandas matplotlib

(tea_facts) [wlsh@wlsh-MacbookPro] ~$ conda install jupyter notebook

(tea_facts) [wlsh@wlsh-MacbookPro] ~$ conda list

• Concept 04: Installing Anaconda

• Concept 05: Managing packages

(base) [wlsh@wlsh-MacbookPro] ~$ conda upgrade conda
(base) [wlsh@wlsh-MacbookPro] ~$ conda upgrade --all

(base) [wlsh@wlsh-MacbookPro] ~$ conda search '*beautifulsoup*'

• Concept 06: Managing environments

[wlsh@wlsh-MacbookPro] ~$ conda create -n tea_facts python=3

[wlsh@wlsh-MacbookPro] ~$ source activate tea_facts

(tea_facts) [wlsh@wlsh-MacbookPro] ~$ conda deactivate

(base) [wlsh@wlsh-MacbookPro] ~$ source deactivate

• Concept 07: More environment actions

(tea_facts) [wlsh@wlsh-MacbookPro] ~$ conda env export

• Concept 08: Best practices
• Concept 09: On Python versions at Udacity

Lession 02 : Jupyter Notebooks

• Concept 01: Instructor
• Concept 02: What are Jupyter notebooks?
• Concept 03: Installing Jupyter Notebook
• Concept 04: Launching the notebook server
• Concept 05: Notebook interface
• Concept 06: Code cells
• Concept 07: Markdown cells
• Concept 08: Keyboard shortcuts
• Concept 09: Magic keywords
• Concept 10: Converting notebooks
• Concept 11: Creating a slideshow
• Concept 12: Finishing up

Lession 03 : Numpy

• Concept 01: Instructors
• Concept 02: Introduction to NumPy
• Concept 03: Why Use NumPy?
• Concept 04: Creating and Saving NumPy ndarrays
• Concept 05: Using Built-in Functions to Create ndarrays
• Concept 06: Create an ndarray
• Concept 07: Accessing, Deleting, and Inserting Elements Into ndarrays
• Concept 08: Slicing ndarrays
• Concept 09: Boolean Indexing, Set Operations, and Sorting
• Concept 10: Manipulating ndarrays
• Concept 11: Arithmetic operations and Broadcasting
• Concept 12: Creating ndarrays with Broadcasting
• Concept 13: Getting Set Up for the Mini-Project
• Concept 14: Mini-Project: Mean Normalization and Data Separation

Lession 04 : Pandas

• Concept 01: Instructors
• Concept 02: Introduction to Pandas
• Concept 03: Why Use Pandas?
• Concept 04: Creating Pandas Series
• Concept 05: Accessing and Deleting Elements in Pandas Series
• Concept 06: Arithmetic Operations on Pandas Series
• Concept 07: Manipulate a Series
• Concept 08: Creating Pandas DataFrames
• Concept 09: Accessing Elements in Pandas DataFrames
• Concept 10: Dealing with NaN
• Concept 11: Manipulate a DataFrame
• Concept 12: Loading Data into a Pandas DataFrame
• Concept 13: Getting Set Up for the Mini-Project
• Concept 14: Mini-Project: Statistics From Stock Data

Lession 05 : Matplotlib and Seaborn Part 1

• Concept 01: Instructor
• Concept 02: Introduction
• Concept 03: Tidy Data
• Concept 04: Bar Charts
• Concept 05: Absolute vs. Relative Frequency
• Concept 06: Counting Missing Data
• Concept 07: Bar Chart Practice
• Concept 08: Pie Charts
• Concept 09: Histograms
• Concept 10: Histogram Practice
• Concept 11: Figures, Axes, and Subplots
• Concept 12: Choosing a Plot for Discrete Data
• Concept 13: Descriptive Statistics, Outliers and Axis Limits
• Concept 14: Scales and Transformations
• Concept 15: Scales and Transformations Practice
• Concept 16: Lesson Summary
• Concept 17: Extra: Kernel Density Estimation

Lession 06 : Matplotlib and Seaborn Part 2

• Concept 01: Introduction
• Concept 02: Scatterplots and Correlation
• Concept 03: Overplotting, Transparency, and Jitter
• Concept 04: Heat Maps
• Concept 05: Scatterplot Practice
• Concept 06: Violin Plots
• Concept 07: Box Plots
• Concept 08: Violin and Box Plot Practice
• Concept 09: Clustered Bar Charts
• Concept 10: Categorical Plot Practice
• Concept 11: Faceting
• Concept 12: Adaptation of Univariate Plots
• Concept 13: Line Plots
• Concept 14: Additional Plot Practice
• Concept 15: Lesson Summary
• Concept 16: Postscript: Multivariate Visualization
• Concept 17: Extra: Swarm Plots
• Concept 18: Extra: Rug and Strip Plots

标签：03,Concept,Lession,Part,wlsh,facts,conda,Numpy,MacbookPro
来源： https://blog.csdn.net/qq_24990189/article/details/90234338