README.md

@@ -1,38 +1,41 @@
 <p align="center">
-    <a href="https://morvanzhou.github.io/tutorials/" target="_blank">
-    <img width="60%" src="https://github.com/MorvanZhou/tutorials/blob/master/%E7%89%87%E5%A4%B4.png" style="max-width:100%;">
+    <a href="https://mofanpy.com/tutorials/" target="_blank">
+    <img width="60%" src="%E7%89%87%E5%A4%B4.png" style="max-width:100%;">
     </a>
 </p>
 
----
 
 <br>
 
-我是 周沫凡, [莫烦Python](https://morvanzhou.github.io/about/) 只是谐音, 我喜欢制作,
-分享所学的东西, 所以你能在这里找到很多有用的东西, 少走弯路. 你能在[这里](https://morvanzhou.github.io/about/)找到关于我的所有东西.
+我是 周沫凡, [莫烦Python](https://mofanpy.com/) 只是谐音, 我喜欢制作,
+分享所学的东西, 所以你能在这里找到很多有用的东西, 少走弯路. 你能在[这里](https://mofanpy.com/about/)找到关于我的所有东西.
 
 ## 这个 Python tutorial 的一些内容:
 
-* [Python 基础](https://morvanzhou.github.io/tutorials/python-basic/)
-  * [基础](https://morvanzhou.github.io/tutorials/python-basic/basic/)
-  * [多线程 threading](https://morvanzhou.github.io/tutorials/python-basic/threading/)
-  * [多进程 multiprocessing](https://morvanzhou.github.io/tutorials/python-basic/multiprocessing/)
-  * [简单窗口 tkinter](https://morvanzhou.github.io/tutorials/python-basic/tkinter/)
-* [机器学习](https://morvanzhou.github.io/tutorials/machine-learning/)
-  * [有趣的机器学习](https://morvanzhou.github.io/tutorials/machine-learning/ML-intro/)
-  * [强化学习 (Reinforcement Learning)](https://morvanzhou.github.io/tutorials/machine-learning/reinforcement-learning/)
-  * [Tensorflow (神经网络)](https://morvanzhou.github.io/tutorials/machine-learning/tensorflow/)
-  * [PyTorch (神经网络)](https://morvanzhou.github.io/tutorials/machine-learning/torch/)
-  * [Theano (神经网络)](https://morvanzhou.github.io/tutorials/machine-learning/theano/)
-  * [Keras (快速神经网络)](https://morvanzhou.github.io/tutorials/machine-learning/keras/)
-  * [Scikit-Learn (机器学习)](https://morvanzhou.github.io/tutorials/machine-learning/sklearn/)
-* [数据处理](https://morvanzhou.github.io/tutorials/data-manipulation/)
-  * [Numpy & Pandas (处理数据)](https://morvanzhou.github.io/tutorials/data-manipulation/np-pd/)
-  * [Matplotlib (绘图)](https://morvanzhou.github.io/tutorials/data-manipulation/plt/)
-* [其他](https://morvanzhou.github.io/tutorials/others/)
-  * [Git (版本管理)](https://morvanzhou.github.io/tutorials/others/git/)
+* [Python 基础](https://mofanpy.com/tutorials/python-basic/)
+  * [基础](https://mofanpy.com/tutorials/python-basic/basic/)
+  * [多线程 threading](https://mofanpy.com/tutorials/python-basic/threading/)
+  * [多进程 multiprocessing](https://mofanpy.com/tutorials/python-basic/multiprocessing/)
+  * [简单窗口 tkinter](https://mofanpy.com/tutorials/python-basic/tkinter/)
+* [机器学习](https://mofanpy.com/tutorials/machine-learning/)
+  * [有趣的机器学习](https://mofanpy.com/tutorials/machine-learning/ML-intro/)
+  * [强化学习 (Reinforcement Learning)](https://mofanpy.com/tutorials/machine-learning/reinforcement-learning/)
+  * [进化算法 (Evolutionary Algorithm) 如遗传算法等](https://mofanpy.com/tutorials/machine-learning/evolutionary-algorithm/)
+  * [Tensorflow (神经网络)](https://mofanpy.com/tutorials/machine-learning/tensorflow/)
+  * [PyTorch (神经网络)](https://mofanpy.com/tutorials/machine-learning/torch/)
+  * [Theano (神经网络)](https://mofanpy.com/tutorials/machine-learning/theano/)
+  * [Keras (快速神经网络)](https://mofanpy.com/tutorials/machine-learning/keras/)
+  * [Scikit-Learn (机器学习)](https://mofanpy.com/tutorials/machine-learning/sklearn/)
+  * [机器学习实战](https://mofanpy.com/tutorials/machine-learning/ML-practice/)
+* [数据处理](https://mofanpy.com/tutorials/data-manipulation/)
+  * [Numpy & Pandas (处理数据)](https://mofanpy.com/tutorials/data-manipulation/np-pd/)
+  * [Matplotlib (绘图)](https://mofanpy.com/tutorials/data-manipulation/plt/)
+  * [爬虫](https://mofanpy.com/tutorials/data-manipulation/scraping/)
+* [其他](https://mofanpy.com/tutorials/others/)
+  * [Git (版本管理)](https://mofanpy.com/tutorials/others/git/)
+  * [Linux 简易教学](https://mofanpy.com/tutorials/others/linux-basic/)
 
 ## 赞助和支持
 
 这些 tutorial 都是我用业余时间写出来, 录成视频, 如果你觉得它对你很有帮助, 请你也分享给需要学习的朋友们.
-如果你看好我的经验分享, 也请考虑适当的 [赞助打赏](https://morvanzhou.github.io/support/), 让我能继续分享更好的内容给大家.
+如果你看好我的经验分享, 也请考虑适当的 [赞助打赏](https://mofanpy.com/support/), 让我能继续分享更好的内容给大家.

Reinforcement_learning_TUT/README.md

@@ -1,6 +1,6 @@
 <p align="center">
     <a href="https://www.youtube.com/watch?v=pieI7rOXELI&list=PLXO45tsB95cIplu-fLMpUEEZTwrDNh6Ba" target="_blank">
-    <img width="60%" src="https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow/blob/master/RL_cover.jpg?raw=true" style="max-width:100%;">
+    <img width="60%" src="/MorvanZhou/Reinforcement-learning-with-tensorflow/blob/master/RL_cover.jpg?raw=true" style="max-width:100%;">
     </a>
 </p>
 
@@ -10,11 +10,11 @@
 
 # Note! This Reinforcement Learning Tutorial has been moved to anther independent repo:
 
-[https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow](https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow)
+[/MorvanZhou/Reinforcement-learning-with-tensorflow](/MorvanZhou/Reinforcement-learning-with-tensorflow)
 
 # 请注意! 这个 强化学习 的教程代码已经被移至另一个网页:
 
-[https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow](https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow)
+[/MorvanZhou/Reinforcement-learning-with-tensorflow](/MorvanZhou/Reinforcement-learning-with-tensorflow)
 
 
 # Donation
@@ -31,7 +31,7 @@
 
 <div>
   <a href="https://www.patreon.com/morvan">
-    <img src="https://morvanzhou.github.io/static/img/support/patreon.jpg"
+    <img src="https://mofanpy.com/static/img/support/patreon.jpg"
          alt="Patreon"
          height=120></a>
 </div>

basic/35_set.py

@@ -10,17 +10,20 @@
 print(set(char_list))
 print(set(sentence))
 
-print(set([char_list, sentence]))
+print(set(char_list + list(sentence)))
 
 unique_char = set(char_list)
 unique_char.add('x')
-unique_char.add(['y', 'z'])
+# unique_char.add(['y', 'z']) this is wrong
 print(unique_char)
 
+unique_char.remove('x')
+print(unique_char)
+unique_char.discard('d')
+print(unique_char)
 unique_char.clear()
 print(unique_char)
-print(char_list.discard('d'))
-print(char_list.remove('d'))
 
-print(char_list.difference({'a', 'e', 'i'}))
-print(char_list.intersection({'a', 'e', 'i'}))
+unique_char = set(char_list)
+print(unique_char.difference({'a', 'e', 'i'}))
+print(unique_char.intersection({'a', 'e', 'i'}))

basic/36_RegEx.py

@@ -0,0 +1,110 @@
+import re
+
+# matching string
+pattern1 = "cat"
+pattern2 = "bird"
+string = "dog runs to cat"
+print(pattern1 in string)    # True
+print(pattern2 in string)    # False
+
+
+# regular expression
+pattern1 = "cat"
+pattern2 = "bird"
+string = "dog runs to cat"
+print(re.search(pattern1, string))  # <_sre.SRE_Match object; span=(12, 15), match='cat'>
+print(re.search(pattern2, string))  # None
+
+
+# multiple patterns ("run" or "ran")
+ptn = r"r[au]n"       # start with "r" means raw string
+print(re.search(ptn, "dog runs to cat"))    # <_sre.SRE_Match object; span=(4, 7), match='run'>
+
+
+# continue
+print(re.search(r"r[A-Z]n", "dog runs to cat"))     # None
+print(re.search(r"r[a-z]n", "dog runs to cat"))     # <_sre.SRE_Match object; span=(4, 7), match='run'>
+print(re.search(r"r[0-9]n", "dog r2ns to cat"))     # <_sre.SRE_Match object; span=(4, 7), match='r2n'>
+print(re.search(r"r[0-9a-z]n", "dog runs to cat"))  # <_sre.SRE_Match object; span=(4, 7), match='run'>
+
+
+# \d : decimal digit
+print(re.search(r"r\dn", "run r4n"))                # <_sre.SRE_Match object; span=(4, 7), match='r4n'>
+# \D : any non-decimal digit
+print(re.search(r"r\Dn", "run r4n"))                # <_sre.SRE_Match object; span=(0, 3), match='run'>
+# \s : any white space [\t\n\r\f\v]
+print(re.search(r"r\sn", "r\nn r4n"))               # <_sre.SRE_Match object; span=(0, 3), match='r\nn'>
+# \S : opposite to \s, any non-white space
+print(re.search(r"r\Sn", "r\nn r4n"))               # <_sre.SRE_Match object; span=(4, 7), match='r4n'>
+# \w : [a-zA-Z0-9_]
+print(re.search(r"r\wn", "r\nn r4n"))               # <_sre.SRE_Match object; span=(4, 7), match='r4n'>
+# \W : opposite to \w
+print(re.search(r"r\Wn", "r\nn r4n"))               # <_sre.SRE_Match object; span=(0, 3), match='r\nn'>
+# \b : empty string (only at the start or end of the word)
+print(re.search(r"\bruns\b", "dog runs to cat"))    # <_sre.SRE_Match object; span=(4, 8), match='runs'>
+# \B : empty string (but not at the start or end of a word)
+print(re.search(r"\B runs \B", "dog   runs  to cat"))  # <_sre.SRE_Match object; span=(8, 14), match=' runs '>
+# \\ : match \
+print(re.search(r"runs\\", "runs\ to me"))          # <_sre.SRE_Match object; span=(0, 5), match='runs\\'>
+# . : match anything (except \n)
+print(re.search(r"r.n", "r[ns to me"))              # <_sre.SRE_Match object; span=(0, 3), match='r[n'>
+# ^ : match line beginning
+print(re.search(r"^dog", "dog runs to cat"))        # <_sre.SRE_Match object; span=(0, 3), match='dog'>
+# $ : match line ending
+print(re.search(r"cat$", "dog runs to cat"))        # <_sre.SRE_Match object; span=(12, 15), match='cat'>
+# ? : may or may not occur
+print(re.search(r"Mon(day)?", "Monday"))            # <_sre.SRE_Match object; span=(0, 6), match='Monday'>
+print(re.search(r"Mon(day)?", "Mon"))               # <_sre.SRE_Match object; span=(0, 3), match='Mon'>
+
+
+# multi-line
+string = """
+dog runs to cat.
+I run to dog.
+"""
+print(re.search(r"^I", string))                     # None
+print(re.search(r"^I", string, flags=re.M))         # <_sre.SRE_Match object; span=(18, 19), match='I'>
+
+
+# * : occur 0 or more times
+print(re.search(r"ab*", "a"))                       # <_sre.SRE_Match object; span=(0, 1), match='a'>
+print(re.search(r"ab*", "abbbbb"))                  # <_sre.SRE_Match object; span=(0, 6), match='abbbbb'>
+
+# + : occur 1 or more times
+print(re.search(r"ab+", "a"))                       # None
+print(re.search(r"ab+", "abbbbb"))                  # <_sre.SRE_Match object; span=(0, 6), match='abbbbb'>
+
+# {n, m} : occur n to m times
+print(re.search(r"ab{2,10}", "a"))                  # None
+print(re.search(r"ab{2,10}", "abbbbb"))             # <_sre.SRE_Match object; span=(0, 6), match='abbbbb'>
+
+
+# group
+match = re.search(r"(\d+), Date: (.+)", "ID: 021523, Date: Feb/12/2017")
+print(match.group())                                # 021523, Date: Feb/12/2017
+print(match.group(1))                               # 021523
+print(match.group(2))                               # Date: Feb/12/2017
+
+match = re.search(r"(?P<id>\d+), Date: (?P<date>.+)", "ID: 021523, Date: Feb/12/2017")
+print(match.group('id'))                            # 021523
+print(match.group('date'))                          # Date: Feb/12/2017
+
+# findall
+print(re.findall(r"r[ua]n", "run ran ren"))         # ['run', 'ran']
+
+# | : or
+print(re.findall(r"(run|ran)", "run ran ren"))      # ['run', 'ran']
+
+# re.sub() replace
+print(re.sub(r"r[au]ns", "catches", "dog runs to cat"))     # dog catches to cat
+
+# re.split()
+print(re.split(r"[,;\.]", "a;b,c.d;e"))             # ['a', 'b', 'c', 'd', 'e']
+
+
+# compile
+compiled_re = re.compile(r"r[ua]n")
+print(compiled_re.search("dog ran to cat"))     # <_sre.SRE_Match object; span=(4, 7), match='ran'>
+
+
+

kerasTUT/10-save.py

@@ -1,6 +1,6 @@
 """
 To know more or get code samples, please visit my website:
-https://morvanzhou.github.io/tutorials/
+https://mofanpy.com/tutorials/
 Or search: 莫烦Python
 Thank you for supporting!
 """

kerasTUT/2-installation.py

@@ -1,6 +1,6 @@
 """
 To know more or get code samples, please visit my website:
-https://morvanzhou.github.io/tutorials/
+https://mofanpy.com/tutorials/
 Or search: 莫烦Python
 Thank you for supporting!
 """

kerasTUT/3-backend.py

@@ -1,6 +1,6 @@
 """
 To know more or get code samples, please visit my website:
-https://morvanzhou.github.io/tutorials/
+https://mofanpy.com/tutorials/
 Or search: 莫烦Python
 Thank you for supporting!
 """

kerasTUT/4-regressor_example.py

@@ -1,6 +1,6 @@
 """
 To know more or get code samples, please visit my website:
-https://morvanzhou.github.io/tutorials/
+https://mofanpy.com/tutorials/
 Or search: 莫烦Python
 Thank you for supporting!
 """

kerasTUT/5-classifier_example.py

@@ -1,6 +1,6 @@
 """
 To know more or get code samples, please visit my website:
-https://morvanzhou.github.io/tutorials/
+https://mofanpy.com/tutorials/
 Or search: 莫烦Python
 Thank you for supporting!
 """

kerasTUT/6-CNN_example.py

@@ -1,6 +1,6 @@
 """
 To know more or get code samples, please visit my website:
-https://morvanzhou.github.io/tutorials/
+https://mofanpy.com/tutorials/
 Or search: 莫烦Python
 Thank you for supporting!
 """
@@ -23,7 +23,7 @@
 from keras.optimizers import Adam
 
 # download the mnist to the path '~/.keras/datasets/' if it is the first time to be called
-# X shape (60,000 28x28), y shape (10,000, )
+# training X shape (60000, 28x28), Y shape (60000, ). test X shape (10000, 28x28), Y shape (10000, )
 (X_train, y_train), (X_test, y_test) = mnist.load_data()
 
 # data pre-processing
@@ -37,7 +37,7 @@
 
 # Conv layer 1 output shape (32, 28, 28)
 model.add(Convolution2D(
-    batch_input_shape=(64, 1, 28, 28),
+    batch_input_shape=(None, 1, 28, 28),
     filters=32,
     kernel_size=5,
     strides=1,

kerasTUT/7-RNN_Classifier_example.py

@@ -1,6 +1,6 @@
 """
 To know more or get code samples, please visit my website:
-https://morvanzhou.github.io/tutorials/
+https://mofanpy.com/tutorials/
 Or search: 莫烦Python
 Thank you for supporting!
 """

kerasTUT/8-RNN_LSTM_Regressor_example.py

@@ -1,6 +1,6 @@
 """
 To know more or get code samples, please visit my website:
-https://morvanzhou.github.io/tutorials/
+https://mofanpy.com/tutorials/
 Or search: 莫烦Python
 Thank you for supporting!
 """

kerasTUT/9-Autoencoder_example.py

@@ -1,6 +1,6 @@
 """
 To know more or get code samples, please visit my website:
-https://morvanzhou.github.io/tutorials/
+https://mofanpy.com/tutorials/
 Or search: 莫烦Python
 Thank you for supporting!
 """

kerasTUT/README.md

@@ -2,19 +2,19 @@
 
 In these tutorials for Tensorflow, we will build our first Neural Network and try to build some advanced Neural Network architectures developed recent years.
 
-All methods mentioned below have their video and text tutorial in Chinese. Visit [莫烦 Python](https://morvanzhou.github.io/tutorials/) for more.
+All methods mentioned below have their video and text tutorial in Chinese. Visit [莫烦 Python](https://mofanpy.com/) for more.
 If you speak Chinese, you can watch my [Youtube channel](https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg) as well.
 
 
-* [Install](https://github.com/MorvanZhou/tutorials/blob/master/kerasTUT/2-installation.py)
-* [Backend (Tensorflow/Theano)](https://github.com/MorvanZhou/tutorials/blob/master/kerasTUT/3-backend.py)
+* [Install](2-installation.py)
+* [Backend (Tensorflow/Theano)](3-backend.py)
 * Networks
-  * [Simple Regressor](https://github.com/MorvanZhou/tutorials/blob/master/kerasTUT/4-regressor_example.py)
-  * [Simple Classifier](https://github.com/MorvanZhou/tutorials/blob/master/kerasTUT/5-classifier_example.py)
-  * [CNN](https://github.com/MorvanZhou/tutorials/blob/master/kerasTUT/6-CNN_example.py)
-  * [RNN classifier](https://github.com/MorvanZhou/tutorials/blob/master/kerasTUT/7-RNN_Classifier_example.py)
-  * [RNN LSTM regressor](https://github.com/MorvanZhou/tutorials/blob/master/kerasTUT/8-RNN_LSTM_Regressor_example.py)
-  * [Autoencoder](https://github.com/MorvanZhou/tutorials/blob/master/kerasTUT/9-Autoencoder_example.py)
+  * [Simple Regressor](4-regressor_example.py)
+  * [Simple Classifier](5-classifier_example.py)
+  * [CNN](6-CNN_example.py)
+  * [RNN classifier](7-RNN_Classifier_example.py)
+  * [RNN LSTM regressor](8-RNN_LSTM_Regressor_example.py)
+  * [Autoencoder](9-Autoencoder_example.py)
 
 
 # Donation
@@ -31,7 +31,7 @@ If you speak Chinese, you can watch my [Youtube channel](https://www.youtube.com
 
 <div>
   <a href="https://www.patreon.com/morvan">
-    <img src="https://morvanzhou.github.io/static/img/support/patreon.jpg"
+    <img src="https://mofanpy.com/static/img/support/patreon.jpg"
          alt="Patreon"
          height=120></a>
 </div>

matplotlibTUT/README.md

@@ -1,50 +1,50 @@
 # Python Matplotlib methods and tutorials
 
-All methods mentioned below have their video and text tutorial in Chinese. Visit [莫烦 Python](https://morvanzhou.github.io/tutorials/) for more.
+All methods mentioned below have their video and text tutorial in Chinese. Visit [莫烦 Python](https://mofanpy.com/tutorials/) for more.
 
 
-* [Install](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt2_install.py)
-* [Basic usage](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt3_simple_plot.py)
-  * [Figure](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt4_figure.py)
-  * [Axis setting1](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt5_ax_setting1.py)
-  * [Axis setting2](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt6_ax_setting2.py)
-  * [Legend](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt7_legend.py)
-  * [Annotation](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt8_annotation.py)
-  * [Deal with Tick](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt9_tick_visibility.py)
+* [Install](plt2_install.py)
+* [Basic usage](plt3_simple_plot.py)
+  * [Figure](plt4_figure.py)
+  * [Axis setting1](plt5_ax_setting1.py)
+  * [Axis setting2](plt6_ax_setting2.py)
+  * [Legend](plt7_legend.py)
+  * [Annotation](plt8_annotation.py)
+  * [Deal with Tick](plt9_tick_visibility.py)
 * Drawing
-  * [Scatter](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt10_scatter.py)
-  * [Bar](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt11_bar.py)
-  * [Contours](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt12_contours.py)
-  * [Image](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt13_image.py)
-  * [3D plot](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt14_3d.py)
+  * [Scatter](plt10_scatter.py)
+  * [Bar](plt11_bar.py)
+  * [Contours](plt12_contours.py)
+  * [Image](plt13_image.py)
+  * [3D plot](plt14_3d.py)
 * Subplots
-  * [Subplot1](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt15_subplot.py)
-  * [Grid Subplot](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt16_grid_subplot.py)
-  * [Plot in Plot](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt17_plot_in_plot.py)
-  * [Second y-axis](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt18_secondary_yaxis.py)
+  * [Subplot1](plt15_subplot.py)
+  * [Grid Subplot](plt16_grid_subplot.py)
+  * [Plot in Plot](plt17_plot_in_plot.py)
+  * [Second y-axis](plt18_secondary_yaxis.py)
 * Animation
-  * [Function Animation](https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/plt19_animation.py)
+  * [Function Animation](plt19_animation.py)
 
 
 # Some plots from these tutorials:
 
-![axis setting](https://morvanzhou.github.io/static/results/plt/2_4_3.png)
+![axis setting](https://mofanpy.com/static/results/plt/2_4_3.png)
 
-![Annotation](https://morvanzhou.github.io/static/results/plt/2_6_5.png)
+![Annotation](https://mofanpy.com/static/results/plt/2_6_5.png)
 
-![Scatter](https://morvanzhou.github.io/static/results/plt/3_1_1.png)
+![Scatter](https://mofanpy.com/static/results/plt/3_1_1.png)
 
-![Bars](https://morvanzhou.github.io/static/results/plt/3_2_1.png)
+![Bars](https://mofanpy.com/static/results/plt/3_2_1.png)
 
-![Contours](https://morvanzhou.github.io/static/results/plt/3_3_1.png)
+![Contours](https://mofanpy.com/static/results/plt/3_3_1.png)
 
-![Image](https://morvanzhou.github.io/static/results/plt/3_4_1.png)
+![Image](https://mofanpy.com/static/results/plt/3_4_1.png)
 
-![3D plot](https://morvanzhou.github.io/static/results/plt/3_5_1.png)
+![3D plot](https://mofanpy.com/static/results/plt/3_5_1.png)
 
-![Subplot](https://morvanzhou.github.io/static/results/plt/4_1_2.png)
+![Subplot](https://mofanpy.com/static/results/plt/4_1_2.png)
 
-![plot in plot](https://morvanzhou.github.io/static/results/plt/4_3_1.png)
+![plot in plot](https://mofanpy.com/static/results/plt/4_3_1.png)
 
 # Donation
 
@@ -60,7 +60,7 @@ All methods mentioned below have their video and text tutorial in Chinese. Visit
 
 <div>
   <a href="https://www.patreon.com/morvan">
-    <img src="https://morvanzhou.github.io/static/img/support/patreon.jpg"
+    <img src="https://mofanpy.com/static/img/support/patreon.jpg"
          alt="Patreon"
          height=120></a>
 </div>

matplotlibTUT/plt7_legend.py

@@ -30,11 +30,11 @@
 plt.yticks([-2, -1.8, -1, 1.22, 3],
            [r'$really\ bad$', r'$bad$', r'$normal$', r'$good$', r'$really\ good$'])
 
-l1, = plt.plot(x, y2, label='linear line')
-l2, = plt.plot(x, y1, color='red', linewidth=1.0, linestyle='--', label='square line')
+l1, = plt.plot(x, y1, label='linear line')
+l2, = plt.plot(x, y2, color='red', linewidth=1.0, linestyle='--', label='square line')
 
-# plt.legend(loc='upper right')
-plt.legend(handles=[l1, l2], labels=['up', 'down'],  loc='best')
+plt.legend(loc='upper right')
+# plt.legend(handles=[l1, l2], labels=['up', 'down'],  loc='best')
 # the "," is very important in here l1, = plt... and l2, = plt... for this step
 """legend( handles=(line1, line2, line3),
            labels=('label1', 'label2', 'label3'),

matplotlibTUT/plt9_tick_visibility.py

@@ -18,7 +18,7 @@
 y = 0.1*x
 
 plt.figure()
-plt.plot(x, y, linewidth=10)
+plt.plot(x, y, linewidth=10, zorder=1)      # set zorder for ordering the plot in plt 2.0.2 or higher
 plt.ylim(-2, 2)
 ax = plt.gca()
 ax.spines['right'].set_color('none')
@@ -32,5 +32,6 @@
 
 for label in ax.get_xticklabels() + ax.get_yticklabels():
     label.set_fontsize(12)
-    label.set_bbox(dict(facecolor='white', edgecolor='None', alpha=0.7))
+    # set zorder for ordering the plot in plt 2.0.2 or higher
+    label.set_bbox(dict(facecolor='white', edgecolor='none', alpha=0.8, zorder=2))
 plt.show()

pyTorch tutorial/README.md

@@ -1,6 +1,6 @@
 <p align="center">
     <a href="http://pytorch.org/" target="_blank">
-    <img width="40%" src="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/logo.png" style="max-width:100%;">
+    <img width="40%" src="/MorvanZhou/PyTorch-Tutorial/blob/master/logo.png" style="max-width:100%;">
     </a>
 </p>
 
@@ -10,11 +10,11 @@
 
 # This pyTorch Tutorial has been moved to anther independent repo:
 
-[https://github.com/MorvanZhou/PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)
+[/MorvanZhou/PyTorch-Tutorial](/MorvanZhou/PyTorch-Tutorial)
 
 # 请注意, 这个 PyTorch 的教程代码已经被移至另一个网页:
 
-[https://github.com/MorvanZhou/PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)
+[/MorvanZhou/PyTorch-Tutorial](/MorvanZhou/PyTorch-Tutorial)
 
 
 # Donation
@@ -31,7 +31,7 @@
 
 <div>
   <a href="https://www.patreon.com/morvan">
-    <img src="https://morvanzhou.github.io/static/img/support/patreon.jpg"
+    <img src="https://mofanpy.com/static/img/support/patreon.jpg"
          alt="Patreon"
          height=120></a>
 </div>

tensorflowTUT/README.md

@@ -1,6 +1,6 @@
 <p align="center">
     <a href="https://www.tensorflow.org/" target="_blank">
-    <img width="40%" src="https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/logo.jpeg" style="max-width:100%;">
+    <img width="40%" src="logo.jpeg" style="max-width:100%;">
     </a>
 </p>
 
@@ -14,38 +14,38 @@
 
 In these tutorials for Tensorflow, we will build our first Neural Network and try to build some advanced Neural Network architectures developed recent years.
 
-All methods mentioned below have their video and text tutorial in Chinese. Visit [莫烦 Python](https://morvanzhou.github.io/tutorials/) for more.
+All methods mentioned below have their video and text tutorial in Chinese. Visit [莫烦 Python](https://mofanpy.com/tutorials/) for more.
 If you speak Chinese, you can watch my [Youtube channel](https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg) as well.
 
 **As many requests about making these tutorials available in English, please find them in this playlist:** ([https://www.youtube.com/playlist?list=PLXO45tsB95cJHXaDKpbwr5fC_CCYylw1f](https://www.youtube.com/playlist?list=PLXO45tsB95cJHXaDKpbwr5fC_CCYylw1f))
 
 
 * Tensorflow Basic
-  * [Basic example](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf5_example2/full_code.py)
-  * [Session](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tensorflow6_session.py)
-  * [Variable](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tensorflow7_variable.py)
-  * [Placeholder](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tensorflow8_feeds.py)
+  * [Basic example](tf5_example2/full_code.py)
+  * [Session](tensorflow6_session.py)
+  * [Variable](tensorflow7_variable.py)
+  * [Placeholder](tensorflow8_feeds.py)
 * Build your first NN
-  * [Adding layer](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tensorflow10_def_add_layer.py)
-  * [Build NN](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf11_build_network/full_code.py)
-  * [Visualize update](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf12_plot_result/full_code.py)
+  * [Adding layer](tensorflow10_def_add_layer.py)
+  * [Build NN](tf11_build_network/full_code.py)
+  * [Visualize update](tf12_plot_result/full_code.py)
 * Tensorboard
-  * [Visualization 1](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf14_tensorboard/full_code.py)
-  * [Visualization 2](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf15_tensorboard/full_code.py)
-* [Classification](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf16_classification/full_code.py)
-* [Overfitting and dropout](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf17_dropout/full_code.py)
-* [Save Network](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf19_saver.py)
+  * [Visualization 1](tf14_tensorboard/full_code.py)
+  * [Visualization 2](tf15_tensorboard/full_code.py)
+* [Classification](tf16_classification/full_code.py)
+* [Overfitting and dropout](tf17_dropout/full_code.py)
+* [Save Network](tf19_saver.py)
 * CNN
-  * [CNN layers](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf18_CNN2/full_code.py)
-  * [CNN training](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf18_CNN3/full_code.py)
+  * [CNN layers](tf18_CNN2/full_code.py)
+  * [CNN training](tf18_CNN3/full_code.py)
 * RNN
-  * [Classification](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf20_RNN2/full_code.py)
-  * [Regression](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf20_RNN2.2/full_code.py)
-* [Autoencoder](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf21_autoencoder/full_code.py)
+  * [Classification](tf20_RNN2/full_code.py)
+  * [Regression](tf20_RNN2.2/full_code.py)
+* [Autoencoder](tf21_autoencoder/full_code.py)
 * Scope
-  * [Scope in TF](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf22_scope/tf22_scope.py)
-  * [Training Testing for RNN](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf22_scope/tf22_RNN_scope.py)
-* [Batch Normalization](https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf23_BN/tf23_BN.py)
+  * [Scope in TF](tf22_scope/tf22_scope.py)
+  * [Training Testing for RNN](tf22_scope/tf22_RNN_scope.py)
+* [Batch Normalization](tf23_BN/tf23_BN.py)
 
 
 
@@ -63,7 +63,7 @@ If you speak Chinese, you can watch my [Youtube channel](https://www.youtube.com
 
 <div>
   <a href="https://www.patreon.com/morvan">
-    <img src="https://morvanzhou.github.io/static/img/support/patreon.jpg"
+    <img src="https://mofanpy.com/static/img/support/patreon.jpg"
          alt="Patreon"
          height=120></a>
 </div>

tensorflowTUT/tf20_RNN2.2/full_code.py

@@ -100,7 +100,8 @@ def compute_cost(self):
                 name='average_cost')
             tf.summary.scalar('cost', self.cost)
 
-    def ms_error(self, labels, logits):
+    @staticmethod
+    def ms_error(labels, logits):
         return tf.square(tf.subtract(labels, logits))
 
     def _weight_variable(self, shape, name='weights'):

tensorflowTUT/tf21_autoencoder/full_code.py

@@ -1,6 +1,6 @@
 # View more python learning tutorial on my Youtube and Youku channel!!!
 
-# My tutorial website: https://morvanzhou.github.io/tutorials/
+# My tutorial website: https://mofanpy.com/tutorials/
 
 from __future__ import division, print_function, absolute_import
 

tensorflowTUT/tf22_scope/tf22_RNN_scope.py

@@ -1,4 +1,4 @@
-# visit https://morvanzhou.github.io/tutorials/ for more!
+# visit https://mofanpy.com/tutorials/ for more!
 
 
 # 22 scope (name_scope/variable_scope)

tensorflowTUT/tf22_scope/tf22_scope.py

@@ -1,4 +1,4 @@
-# visit https://morvanzhou.github.io/tutorials/ for more!
+# visit https://mofanpy.com/tutorials/ for more!
 
 
 # 22 scope (name_scope/variable_scope)

tensorflowTUT/tf23_BN/tf23_BN.py

@@ -1,5 +1,5 @@
 """
-visit https://morvanzhou.github.io/tutorials/ for more!
+visit https://mofanpy.com/tutorials/ for more!
 
 Build two networks.
 1. Without batch normalization

tensorflowTUT/tf5_example2/full_code.py

@@ -23,8 +23,6 @@
 loss = tf.reduce_mean(tf.square(y-y_data))
 optimizer = tf.train.GradientDescentOptimizer(0.5)
 train = optimizer.minimize(loss)
-
-init = tf.initialize_all_variables()
 ### create tensorflow structure end ###
 
 sess = tf.Session()

theanoTUT/README.md

@@ -1,22 +1,22 @@
 # Python Theano methods and tutorials
 
-All methods mentioned below have their video and text tutorial in Chinese. Visit [莫烦 Python](https://morvanzhou.github.io/tutorials/) for more.
+All methods mentioned below have their video and text tutorial in Chinese. Visit [莫烦 Python](https://mofanpy.com/tutorials/) for more.
 
 
-* [Install](https://github.com/MorvanZhou/tutorials/blob/master/theanoTUT/theano2_install.py)
-* [Example of Machine Learning](https://github.com/MorvanZhou/tutorials/blob/master/theanoTUT/theano3_what_does_ML_do.py)
+* [Install](theano2_install.py)
+* [Example of Machine Learning](theano3_what_does_ML_do.py)
 * Basic
-  * [Basic Usage](https://github.com/MorvanZhou/tutorials/blob/master/theanoTUT/theano4_basic_usage.py)
-  * [Function](https://github.com/MorvanZhou/tutorials/blob/master/theanoTUT/theano5_function.py)
-  * [Shared Variable](https://github.com/MorvanZhou/tutorials/blob/master/theanoTUT/theano6_shared_variable.py)
-  * [Activation Function](https://github.com/MorvanZhou/tutorials/blob/master/theanoTUT/theano7_activation_function.py)
+  * [Basic Usage](theano4_basic_usage.py)
+  * [Function](theano5_function.py)
+  * [Shared Variable](theano6_shared_variable.py)
+  * [Activation Function](theano7_activation_function.py)
 * Build a Network
-  * [Layer](https://github.com/MorvanZhou/tutorials/blob/master/theanoTUT/theano8_Layer_class.py)
-  * [Regression](https://github.com/MorvanZhou/tutorials/blob/master/theanoTUT/theano9_regression_nn/full_code.py)
-  * [Visualize Regression](https://github.com/MorvanZhou/tutorials/blob/master/theanoTUT/theano10_regression_visualization/full_code.py)
-  * [Classification](https://github.com/MorvanZhou/tutorials/blob/master/theanoTUT/theano11_classification_nn/full_code.py)
-  * [Regularization](https://github.com/MorvanZhou/tutorials/tree/master/theanoTUT/theano12_regularization)
-  * [Save model](https://github.com/MorvanZhou/tutorials/blob/master/theanoTUT/theano13_save/full_code.py)
+  * [Layer](theano8_Layer_class.py)
+  * [Regression](theano9_regression_nn/full_code.py)
+  * [Visualize Regression](theano10_regression_visualization/full_code.py)
+  * [Classification](theano11_classification_nn/full_code.py)
+  * [Regularization](https://github.com/MorvanZhou/tutorials/tree/master/theano12_regularization)
+  * [Save model](theano13_save/full_code.py)
 
 # Donation
 
@@ -32,7 +32,7 @@ All methods mentioned below have their video and text tutorial in Chinese. Visit
 
 <div>
   <a href="https://www.patreon.com/morvan">
-    <img src="https://morvanzhou.github.io/static/img/support/patreon.jpg"
+    <img src="https://mofanpy.com/static/img/support/patreon.jpg"
          alt="Patreon"
          height=120></a>
 </div>

tkinterTUT/tk11_msgbox.py

@@ -4,15 +4,16 @@
 # Youku video tutorial: http://i.youku.com/pythontutorial
 
 import tkinter as tk
+import tkinter.messagebox
 
 window = tk.Tk()
 window.title('my window')
 window.geometry('200x200')
 
 def hit_me():
-    #tk.messagebox.showinfo(title='Hi', message='hahahaha')
-    #tk.messagebox.showwarning(title='Hi', message='nononono')
-    #tk.messagebox.showerror(title='Hi', message='No!! never')
+    #tk.messagebox.showinfo(title='Hi', message='hahahaha')   # return 'ok'
+    #tk.messagebox.showwarning(title='Hi', message='nononono')   # return 'ok'
+    #tk.messagebox.showerror(title='Hi', message='No!! never')   # return 'ok'
     #print(tk.messagebox.askquestion(title='Hi', message='hahahaha'))   # return 'yes' , 'no'
     #print(tk.messagebox.askyesno(title='Hi', message='hahahaha'))   # return True, False
     print(tk.messagebox.asktrycancel(title='Hi', message='hahahaha'))   # return True, False