Python learning resources

1. Learn Python

• 44 Videos of Microsoft
• Code Academy
• Operations on dictionaries
• Cross Platform
  • Docker – Get started
  • Google cloud platform – Get started
• Python Programming – with videos
  • Machine learning
  • Data Analysis
  • Game development
  • Python Fundamentals
  • Web Development
  • Bots and AI
  • Robotics
  • GUIs
  • GoLang – Go language

2. Developing Environment

• Idle – Python default developing environment. Upon installing python, it installed also Idle by default.
• Visual studio 2017 (I prefer the community edition).
• PyCharm – Most popular IDE for Python.

3. Windows – Addons Python 2.x

• TK GUI for Python – Graphical User interface
• Numpy – Run from command prompt “pip install numpy“
• Matplotlib – Run from command prompt “pip install matplotlib“
• OpenCV on windows for Python
  • Option 1 (windows)
    • pip install opencv-python
  • Option 2
    • Download opencv from here.
    • pip install [whl file name].whl
  • Option 3
    • Run from command prompt “pip install numpy“
      • Test Numpy with the following python command: print numpy.version.version
    • Download OpenCV and install
    • Goto installed openCV: opencv/build/python/2.7 folder.
    • Copy cv2.pyd to C:/Python27/lib/site-packeges.
    • Open Python IDLE and type following codes in Python terminal.
      • import cv2
      • print cv2.__version__
    • FFmpeg
      • Inside OpenCV directory: opencvbuildbinopencv_ffmpeg320.dll copy to c:python27 directory.
  • Option 4
    • Install OpenCV-Python in Windows
    • OpenCV
  • Example Code:
    • Run example program to check it works, this program extracts frames from a video file:

      import numpy
      import cv2

      print numpy.version.version
      print cv2.__version__

      vidcap = cv2.VideoCapture(“PigeonVideo.mp4”)
      success,image = vidcap.read()
      count = 0
      success = True
      while success:
          success,image = vidcap.read()
          print ‘Read a new frame: ‘, success
          cv2.imwrite(“frame%d.jpg” % count, image)
          count += 1

4. Windows – Addons Python 3.5.x

• Note: For every install, open command prompt as ADMINISTRATOR only.
• Numpy install: pip3 install numpy
• Install opencv
  • Option 1 (windows)
    • pip install opencv-python
  • Option 2
    • Download opencv from here.
    • pip install [whl file name].whl
• Tensorflow – An open-source software library for Machine Intelligence
  • Install CPU only:
    • Open Command prompt
    • Run the following command:
      • pip3 install –upgrade tensorflow
    • Check version of Tensorflow as follows:
      • Open command prompt
      • Run Python
      • Run the following command:
        • import tensorflow as tf; print(tf.__version__)
    • Image recognition example
    • Video Example
  • Fatkun – Batch download images
    • This is needed to download batch images from google search for training model purposes.

5. Install Tensorflow with GPU on windows

(2017/09/29) Scenario that worked on the following steps has been done on blank Windows 10 v.1607:

1. Install Nvidia graphics driver and make sure it has no errors.
2. Install “Microsoft Visual C++ 2015 Redistributable Update 3“
3. Install Cuda 8 with patch.
4. Install cuDNN 6.
5. Install Python 3.5.4
6. Download Tensorflow v0.12.0 or Tensorflow v1.0.1.
7. Open Cmd-Terminal-Command prompt and install the downloaded wheel as follows:
   • cd
   • pip install tensorflow_gpu-0.12.0-cp35-cp35m-win_amd64.whl
8. Open Python and run the following commands:
   • import tensorflow as tf
   • tf.__version__
9. Case of error, run THIS python script.

The following steps has been done on blank Windows 10 v.1703:

1. Make sure Python 3.5 is installed.
   1. Do not select customized installation.
   2. Check the checkbox of adding python to system path.
2. pip install –upgrade Install tensorflow-gpu 
3. Download and install CUDA (8.0)
4. Download cuDNN (6.0)
5. After Cuda installed then extract cuDNN and copy it over Cuda directory.
6. Run python from command prompt.
7. Try the following command:
8. import tensorflow as tf
9. If there are no errors then it works.
10. If there are error then try:
    1. Download and install “Microsoft Visual C++ 2015 Redistributable Update 3“
11. Watch the following video for more details:
12. Installing CPU and GPU TensorFlow on Windows

No	Version	Py 2.7	Py 3.4	Py 3.5	Py 3.6	Link
1	0.12.0	CPU: Mac, Linux GPU: Mac, Linux	CPU: Linux GPU: Linux	CPU: Mac, Linux, Windows GPU: Mac, Linux, Windows
2	0.12.1	GPU: Mac, Linux	GPU: Linux	GPU: Max, Linux, Windows	GPU: Max, Linux
3	1.0.0	GPU: Max, Linux	GPU: Linux	GPU: Mac, Linux, Windows	GPU: Mac, Linux	Link
4	1.0.1	GPU: Mac, Linux,	GPU: Mac, Linux,	GPU: Mac, Linux, Windows	GPU: Mac, Linux	Link
5	1.2.1	GPU: Linux	GPU: Linux	GPU: Linux, Windows	GPU: Linux, Windows	Link
6	1.3.0	GPU: Linux	GPU: Linux	GPU: Linux, Windows	GPU: Linux, Windows	Link

6. General

1. All Python releases
2. PyPi – Python index
3. Python wheel files
4. Tensorflow CPU versions
5. Cuda versions 
6. All Tensorflow releases
   • https://www.tensorflow.org/versions/
7. Unofficial Windows Binaries for Python Extension Packages

• A Python notebook
  • Jupyter
  • IPython
• Online python programming
  • Repl.It