Full Introduction to SPYDER - the best Python IDE for Data Science

This video is covering an introduction to the most important features of spyder. This IDE is used widely in the field of Data Science & Machine Learning as it enables a very high coding efficiency and great visualization tools.

What is your favorite IDE? Let me know in the comments below :)

#Python #DataScience #MachineLearning

[thecraftilee]

Thank you for this. Up to now I've only been writing Python in Jupyter notebooks for my Data Analytics studies and really wanted to break free of Jupyter and get experience on other platforms. This was FABULOUS to give me a taste of what it would be like to work in Spyder and help break down my "fear of the unknown" without having to invest an hour or more to watch a full demo. Really appreciate your help!

[dimitristesias]

Great video man! Tight and short with a good insight into Spyder's basic features. As a post-graduate student in Data-driven financial management with no programming background in Python, I found it very helpful. Thanks

[ousmansjallow]

i am a beginner in python but this video has already given me all that I need. Thanks

[QuinonesBoysForms]

Very good video. Short, sweet and to the point. Excellent!!

[itscarlo_nobnos]

Excellent tips and features of Spyder that really open up learning. Thank you!

[LabRat-fqhx]

Rarely comment and just thought I'd say thanks for this and ALL your valuble content for those starting out with Algo Trading (but not trading)
You are making difference as your stuff actually works.

I'm stopping for a while and going through some of your playlists.

THANKS!

[samurai]

Dude, you salute from Texas. This was a spectacular video.

[rgsmess]

These are good tips. I'm new to Spyder and python in general.
Did you know you can change the value of variables in the variable explorer? Just double-click the value to change it to anything you want. You can check that it's changed in the console. However, when you run the script again, it will change back.

[Shontushontu]

love this video! just moving from R to Python

[blaaskat]

Big fan of your work! Thank you for everything that you do.

You motivated it me to finally start learning Python and pick up my previously learned basics again.

I am actually trying to build a Binance bot using your previous video but not in Jupyter but in Spyder. I figure might as well start using Spyder immediately.

Are there any big differences I should be aware of when running the scripts to automate the bot? Would love to see a full video on spider usage and automated bot deployment.

Thanks again.

[SafdarAliShah_TimeTraveler]

Your video is real time saver ❤️, I really like the way you conclude the video. Amazing captivating... ❤️❤️❤️❤️

[mojo_heezy]

great quick video! appreciate it. I like this more than Jupyter Notebook.

[tvohbhf]

I feel this is the best ide tool to use for me. Thanks for the videoing and i love

[anagabrielamoralesona]

This was very clean and helpful. Thanks!

[Dub.wub]

It's pretty much an rstudio client with python. I like it

[DJ-ctso]

I've been using Spyder for a few months now and it's quickly become my favorite IDE for Python (others I've tried are Jupyter notebooks, the free version of PyCharm, and Python's own IDLE).

There are plenty more features not shown in the video like projects handling, the debugger (and the way it's integrated into the variable explorer), its in-built file manager, direct access to the terminal, the code analyzer, configurable hotkeys, the comprehensive functionality built into the editor, and probably a ton of stuff that I either didn't think of or am unaware of.

Of course this is just my opinion -- you say tom-AY-to, I say tom-AR-to.

[slehar]

Great stuff we’ll presented, I learned a lot! Thanks!

[danielsmith-ivyj]

love the enthusiasm, a little concerned on how saving plots will affect the RAM but i find the feature to run cells very useful for debugging

[rpashoukos]

Very helpful, just getting into python and this has some very cool features.

[e.s]

loved it ! much better than jupyter notebook