Epython Lab
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Welcome to Epython Lab, where you can get resources to learn, one-on-one trainings on machine learning, business analytics, and Python, and solutions for business problems.

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#Python #Tools
Most usefully Python tools
#web Developers
-Django
-Bottle
-CherryPy
-Pyramid
-TurboGears
#Game Developers
-Pygame
-Pyglet
-PyOpenGl
-Arcade
-Panda3D
#Gui Developers
-Kivy
-Tkinter
-WxPython
-PyGUI
-PySide
#Machine Learning
-TensorFlow
-keras
-Theano
-Scikit-learn
-PyTorch
#Data Science
-NumPy
-Pandas
-SciPy
-IPython
-Plotly
#Image processing
-Opencv
-Mahotas
-SimpleTK
-Pillow
-Scikit-Image
#Web scraping
-Requests
-Beautiful Soup
-Selenium
-Lxml
-ScraPy
#Authomation Testing
-Splinter
-RoBot
-Behave
-PyUnit
-Pytest
Very useful and common #SQL commands for #data_analysis
Useful #sql cheetsheet for #data_analytics
Collecting, organizing, and processing data is the priority of Data analysis, data analytics, machine learning, etc. If we have interesting data in the right format, we're lucky. But we have no that data, we are going to search source of data which contains all the data that we need. Website is one source of data, but it might not be downloadable. So, web scraping comes in handy to scrape the data from any website.
More... https://t.me/epythonlab/807?single
#machinelearning #dataanalysis #data #dataanalytics #dataanalytics
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Top Pandas methods to filter data from DataFrame

Top Useful Pandas Functions for Daily Data Analysis: https://lnkd.in/eSQabBRN


#data #dataanalysis #pandas #python #machinelearning
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Python has plenty of tools to get required data from any website especially items price information for further price comparison
https://lnkd.in/e2nhCrE3

#python #data #webscraping
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Data: without data impossible to think about AI. It is not easy to get the required data in the right format. Here you can generate dummy data and learn to implement ML models in your data.

https://lnkd.in/e2jV2zcy

#ai #data #ml
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Data cleaning and analysis in Python tutorials

https://lnkd.in/eNezmNVK

#python #data #datascience #machinelearning
#epythonlab
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Feature Engineering: Extracting features from messy Twitter data using Python

https://lnkd.in/eicGcGim

#python #data #engineering #epythonlab #dataanalysis #datascience

Keep sharing
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Pandas is a powerful data aggregation tools most data scientists using it for daily basis data analysis.

It has many methods to filter data from DataFrame.

Which one is not the data filtering methods in Pandas?

Learn more https://lnkd.in/e_2pevPd

#dataanalysis #pandas #datascientists #data #epythonlab #python
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Harry up 😁 programmers is increasing linearly.



According to the #bardai search results, programmers are expected to be 30 million in 2024 in the world workforce.



This is amazing for newbies.



Data source: bardai

Visualization is done by @asibehtenager

#visualization #data

Join https://t.me/epythonlab/ for more resources
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