Hi, thank you for your presentation. About the debugging. Maybe I'm missing an important step. Right I understood it in that way, if you want to stop at a specific line you have to do following things: - set a breakpoint - Click on that specific cell with the breakpoint -> Execute Above Cells - Debug Cell Why is there no "Run everything until you hit the breakpoint" button? Thank you Regards -daniel
Wasted part of my life I won't get back, trying to follow this. The Anaconda instructions don't work. The dependencies are inconsistent. I tried a forked repo that looked like it addressed it, but still can't find an Anaconda channel that finds the right version of tensorflow.
Watch Aladdin Persson he has a playlist for tensorflow installation with anaconda. Just use vscode instead of pycharm(which he used) with jupyter extension and the rest of the installation will get recommended to you by vscode itself.
Setting up the environment landing me to bunch of compatibility Issues for example. I am using golden_scenario_env.yml :- UnsatisfiableError: The following specifications were found to be incompatible with each other: Output in format: Requested package -> Available versions Package icc_rt conflicts for: pandas-profiling=3.0.0 -> numpy[version='>=1.16.0'] -> icc_rt[version='>=13.1.6|>=2019.0.0|>=2022.1.0'] keras=2.4.3 -> numpy[version='>=1.9.1'] -> icc_rt[version='>=13.1.6|>=2019.0.0|>=16.0.4|>=2022.1.0'] scikit-learn=0.24.2 -> scipy -> icc_rt[version='>=13.1.6|>=2019.0.0|>=2022.1.0|>=16.0.4'] pandas=1.3.2 -> numpy[version='>=1.18.5,=2019.0.0'] Package m2w64-gcc-libs conflicts for: pandas-profiling=3.0.0 -> scipy[version='>=1.4.1'] -> m2w64-gcc-libs keras=2.4.3 -> scipy[version='>=0.14'] -> m2w64-gcc-libs scikit-learn=0.24.2 -> libcblas[version='>=3.8.0,=3.8.0,=1.4.1'] pandas-profiling=3.0.0 -> imagehash -> scipy[version='>=1.0.1|>=1.1.0|>=1.5.2|>=1.3']
This is great! Thanks for the video! The only thing I wish we were able to do is execute code we have selected in a cell in the interactive python panel 😢
Thank you for the great tutorial. But what I find inconvinient is how Jupyter Notebooks look in VS Code in a sense that - it's much better in GitHub. It's also imposible (or I still don't know how) to copy text( not code) from markdown cells, although you can do it in GitHub. If you know how to do it, please tell.
Somehow VSCode ignores the meta-data of Jupyter cells like: "deletable": false, "editable": true". Is there any workaround? I don't want my students to mess arround or accidentally delete parts of my script.
HI, my "run cell" is not working and I don't understand why, this happened after update the program. I press Run cell and it doesn't do anything, can you help me?
could you please tell me how can i run the input using the jupyter notebook on the Vs Code ? all the codes are working well but the input does not appear on kernel, the code keep running in time but does not show me the input. --> name = input(str("Write your name:"))
I followed the linked video but whenever I do the conda env create I get a environment file does not exist. What do I do? I'd greatly appreciate any help I can get
Is there a way to programmatically execute previous cell? I want the cell to run even if the user forgets to run the previous one where the function is defined
Could anyone help me with this error that I receive when I try to run the first code cell? Thanks Output exceeds the size limit. Open the full output data in a text editor --------------------------------------------------------------------------- OSError Traceback (most recent call last) ~\AppData\Local\Temp\ipykernel_5728\1512543305.py in 1 #Imports ----> 2 import pandas as pd 3 import numpy as np 4 import pandas_profiling 5 from sklearn.model_selection import train_test_split ~\AppData\Roaming\Python\Python37\site-packages\pandas\__init__.py in 9 for dependency in hard_dependencies: 10 try: ---> 11 __import__(dependency) 12 except ImportError as e: 13 missing_dependencies.append(f"{dependency}: {e}") ~\AppData\Roaming\Python\Python37\site-packages umpy\__init__.py in 146 147 # Allow distributors to run custom init code --> 148 from . import _distributor_init 149 150 from . import core ~\AppData\Roaming\Python\Python37\site-packages umpy\_distributor_init.py in 24 # NOTE: would it change behavior to load ALL ... --> 364 self._handle = _dlopen(self._name, mode) 365 else: 366 self._handle = handle OSError: [WinError 193] %1 is not a valid Win32 application
do you fixed this error ? I think, by view this video, if you only don print the data and go to the variable and see the data in the example [3:43] was better to print and te error dont show again
Thank you. Answered all my general questions. Happy coding everyone
It's amazing that this works with anaconda environments, I absolutely hated anacondas notebooks
Agreed
Hi,
thank you for your presentation.
About the debugging. Maybe I'm missing an important step. Right I understood it in that way, if you want to stop at a specific line you have to do following things:
- set a breakpoint
- Click on that specific cell with the breakpoint -> Execute Above Cells
- Debug Cell
Why is there no "Run everything until you hit the breakpoint" button?
Thank you
Regards
-daniel
Wasted part of my life I won't get back, trying to follow this. The Anaconda instructions don't work. The dependencies are inconsistent. I tried a forked repo that looked like it addressed it, but still can't find an Anaconda channel that finds the right version of tensorflow.
Watch Aladdin Persson he has a playlist for tensorflow installation with anaconda.
Just use vscode instead of pycharm(which he used) with jupyter extension and the rest of the installation will get recommended to you by vscode itself.
Incredible tutorial thank you for sharing excited to try all of this out
Setting up the environment landing me to bunch of compatibility Issues for example. I am using golden_scenario_env.yml :-
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
Package icc_rt conflicts for:
pandas-profiling=3.0.0 -> numpy[version='>=1.16.0'] -> icc_rt[version='>=13.1.6|>=2019.0.0|>=2022.1.0']
keras=2.4.3 -> numpy[version='>=1.9.1'] -> icc_rt[version='>=13.1.6|>=2019.0.0|>=16.0.4|>=2022.1.0']
scikit-learn=0.24.2 -> scipy -> icc_rt[version='>=13.1.6|>=2019.0.0|>=2022.1.0|>=16.0.4']
pandas=1.3.2 -> numpy[version='>=1.18.5,=2019.0.0']
Package m2w64-gcc-libs conflicts for:
pandas-profiling=3.0.0 -> scipy[version='>=1.4.1'] -> m2w64-gcc-libs
keras=2.4.3 -> scipy[version='>=0.14'] -> m2w64-gcc-libs
scikit-learn=0.24.2 -> libcblas[version='>=3.8.0,=3.8.0,=1.4.1']
pandas-profiling=3.0.0 -> imagehash -> scipy[version='>=1.0.1|>=1.1.0|>=1.5.2|>=1.3']
amazing presentation, concise and very informative!
This was great to me,
Claudia thanks and i wait for your new video
This is great! Thanks for the video! The only thing I wish we were able to do is execute code we have selected in a cell in the interactive python panel 😢
How do you create the conda environment in the initial setup. I am unable to complete this step
Strange request but could you give us a shot of the books in your book case? I’m interested in any books you might have that I could get.
I was unable to solve the environment by following the steps in the readme. Would I need an older version of anaconda to follow along with the video?
just started my coding journey 😢
Thank you for the great tutorial. But what I find inconvinient is how Jupyter Notebooks look in VS Code in a sense that - it's much better in GitHub. It's also imposible (or I still don't know how) to copy text( not code) from markdown cells, although you can do it in GitHub. If you know how to do it, please tell.
thx from Brazil!
Somehow VSCode ignores the meta-data of Jupyter cells like: "deletable": false, "editable": true".
Is there any workaround? I don't want my students to mess arround or accidentally delete parts of my script.
It's kind of sad how trash _all_ of the editors are for this absolute boon of a data science tool.
I noticed that the usual STRG+Z ('undo') does not work in notebooks. Why is that?
IS there any way i can remove all inputs from the code cells when creating my html file or i should edit the cell tags one by one?
How do I shut down the running notebook?
HI, my "run cell" is not working and I don't understand why, this happened after update the program. I press Run cell and it doesn't do anything, can you help me?
could you please tell me how can i run the input using the jupyter notebook on the Vs Code ? all the codes are working well but the input does not appear on kernel, the code keep running in time but does not show me the input. --> name = input(str("Write your name:"))
can you share a link to how to install anaconda for Windows?🙏
How can I navigate among
execution lines ?
The intellisense stopped working on my extension recently, is there something I need to do in settings?
Please link the video you referenced for anaconda setup in description
Done! Can be found here ua-cam.com/video/h1sAzPojKMg/v-deo.html :)
Hi please i'm having issues as i can't get past the readme bit,is there something else i need to do?
I followed the linked video but whenever I do the conda env create I get a environment file does not exist. What do I do? I'd greatly appreciate any help I can get
Have they patched this ish? So buggy last time I tried it I had to switch back to browser.
When I clicked into this, I thought it was going to be about software that provided a notebook, for taking notes.
Is there a way to programmatically execute previous cell? I want the cell to run even if the user forgets to run the previous one where the function is defined
Ask Chat GPT?
Watching this a few days after Titanic submarine implosion.
✌️😝🥳 g++ dbg var chart
never use anaconda never download it its so neantherdalic
Could anyone help me with this error that I receive when I try to run the first code cell? Thanks
Output exceeds the size limit. Open the full output data in a text editor
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
~\AppData\Local\Temp\ipykernel_5728\1512543305.py in
1 #Imports
----> 2 import pandas as pd
3 import numpy as np
4 import pandas_profiling
5 from sklearn.model_selection import train_test_split
~\AppData\Roaming\Python\Python37\site-packages\pandas\__init__.py in
9 for dependency in hard_dependencies:
10 try:
---> 11 __import__(dependency)
12 except ImportError as e:
13 missing_dependencies.append(f"{dependency}: {e}")
~\AppData\Roaming\Python\Python37\site-packages
umpy\__init__.py in
146
147 # Allow distributors to run custom init code
--> 148 from . import _distributor_init
149
150 from . import core
~\AppData\Roaming\Python\Python37\site-packages
umpy\_distributor_init.py in
24 # NOTE: would it change behavior to load ALL
...
--> 364 self._handle = _dlopen(self._name, mode)
365 else:
366 self._handle = handle
OSError: [WinError 193] %1 is not a valid Win32 application
I have the same issue, not sure if anyone has solution or not
do you fixed this error ?
I think, by view this video, if you only don print the data and go to the variable and see the data in the example [3:43] was better to print and te error dont show again