All Top 40 Python Libraries EXPLAINED in 20 minutes
With over 250 libraries in Python, it can a bit confusing to know which one is best for your project. Caelan walks you through the top 40 libraries and how they're used! Full list of libraries mentioned below.
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TOP 40 LIBRARIES:
Natural Language Processing (2):
NLTK ► manipulate strings
www.nltk.org/
FlashText ► replace keywords in sentences or extract keywords from sentences
pypi.org/project/flashtext/
Computer Vision (2):
OpenCV ► computer vision/ image processing
opencv.org/
SimpleCV ► computer vision
simplecv.org/
GUI (3):
Tkinter ► GUI
docs.python.org/3/library/tki...
wxPython ► GUI toolkit
wxpython.org/
PyQt ► GUI toolkit
pypi.org/project/PyQt5/
Game (2):
Pygame ► writing video games mainly
www.pygame.org/
Pyglet ► 3d animation and game creation engine
pyglet.org/
Web (6):
Requests ► HTTP library/Web
requests.readthedocs.io/en/ma...
Scrapy ► webscraping
scrapy.org/
BeautifulSoup ► parsing/webscraping www.crummy.com/software/Beaut...
Zappa ► server-less application on API Gateway and Amazon Web Services Lambda
github.com/Miserlou/Zappa
Django ► web framework
www.djangoproject.com/
Flask ► web framework
flask.palletsprojects.com/en/...
Data Science (5):
Pandas ► data-science
pandas.pydata.org/
Matplotlib ► 2-dimensional graphs and plots
matplotlib.org/
Plotly ► similar to matplotlib
plotly.com/python/
Bokeh ► data visualization library docs.bokeh.org/en/latest/inde...
SQLAlchemy ► Database Abstraction
www.sqlalchemy.org/
Math (3):
Numpy ► advance math functionalities
numpy.org/
SciPy ► library of algorithms and mathematical tools www.scipy.org/
SymPy ► algebraic evaluation, differentiation, expansion, complex numbers
www.sympy.org/en/index.html
Machine Learning (8):
Keras ► deep neural networks
keras.io/
Tensorflow ► develop, train and design deep learning models www.tensorflow.org/
PyTorch ► machine learning
pytorch.org/
Scikit-Learn ► ML
scikit-learn.org/stable/
Imbalanced-learn ► ML
pypi.org/project/imbalanced-l...
Theano ► deep learning library
deeplearning.net/software/theano/
LightGBM ► machine learning
github.com/microsoft/LightGBM
Eli5 ► machine learning
pypi.org/project/eli5/
Other (9):
Twisted ► network application develop
pypi.org/project/Twisted/ (website down)
IPython ► completion, history, shell capabilities, and a lot more
ipython.org/
Pillow ► images/Python Imaging Library
python-pillow.org/
Poetry ► manage python packaging and dependencies
python-poetry.org/
Gensim ► natural library processing library
radimrehurek.com/gensim/
Pywin32 ► Interact with Windows
github.com/mhammond/pywin32
Kivy ► Mobile Apps
kivy.org/#home
Pendulum ► date and time
pendulum.eustace.io/
Loguru ► python logging
github.com/Delgan/loguru
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Пікірлер: 143
Wow! This man does not speak in paragraphs. Well, yes, but just one. His whole talk is one paragraph. Gosh! But, hey, after pandas, where is polars? I don't think he ever got to polars? It could have been right after pandas.
This video is going to be insanely useful for my students when trying to narrow down their final programming projects. I like to leave those projects as open as possible, letting them choose the topic and goal so that they can choose a project they are actually interested in doing rather than something I dream up for them. This video will give them a broad sampling of the kinds of projects that are readily possible using Python and the libraries that exist to support what they want to accomplish. THANK YOU so much for this video!!
is me the only one who see the delay in his speaking ?
Dammm i went from python newbie to python beginner in 20 min
tried kite, but collects data in the background
When did Ryan Gosling take up coding?
This video just made my life a whole lot easier.
How do you learn doing it wrong:?
I don't know if I missed it, but I would say put in Seaborn. If you want to keep it 40, remove Theano, as Tensor and Torch have replaced it.
I started learning Python a few weeks ago, and this video has blown my mind on what is possible.
1. Natural Language Processing (NLP)
The fact that you discussed it's applications and examples makes it easy to understand and choose
Amazing video, thanks mate - this video deserves to be in the Guinness book of world records for the ultra-rapid-fire of the word Python!
I personally love the "SolveAll" library
I needed to solve a surveying data conversion issue, and the myriad of libraries available for Python made me choose it over Perl for programming. Astropy has some very useful features for angle processing, and NumPy was a huge help also..
Awesome and Brief explanation of all 40 python package. Cool 🙂 loved this. 👍
Thanks man, this video is great. AND thanks for compiling and categorising all the libraries with relevant links in you vid description, a BIG thumb up there!
PyQt5 is such a massive GUI library, but it's worth the struggle to learn. Very powerful!
Well... You did miss selenium in the webscrapping section. Ermm pywin32 isn't all that similiar in funcionality to psutil, but while we're talking about interacting with windows, you might as well just throw it in there. Psutil provides information from the cpu kernel. But all in all super video! I've got so many more libraries to try out now!
Very good! I will go over this video quite a few times to cement it into my head. I need to understand what's in my toolbox!