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Made it visually more understandable #27

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40 changes: 40 additions & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -7,57 +7,97 @@ We don't need [a lot of libraries](https://github.com/vinta/awesome-python). We
#### General Machine Learning
* [scikit-learn](http://scikit-learn.org/) - Simple and efficient tools for data mining and data analysis.

<img src="https://www.engineeringbigdata.com/wp-content/uploads/boston-dataset-scikit-learn-machine-learning-python-tutorial.png" width=100%>

#### Machine Learning > Deep Learning
* [TensorFlow](https://www.tensorflow.org/) - Low-level (configurations over conventions) library for building deep learning data flow graphs.
<img src="https://miro.medium.com/max/850/1*YrvMKrWMhi3HomoiTLPsfw.png" width=100%>

#### Machine Learning > Deep Learning + Computer Vision
* [caffe](http://caffe.berkeleyvision.org/) - Deep learning framework made with expression, speed, and modularity in mind.
<img src="https://miro.medium.com/max/850/1*8wcltKZnpmbb43tzGi_17Q.jpeg" width=100%>

#### Optical Character Recognition (OCR)
* [pytesseract](https://github.com/madmaze/pytesseract) - A wrapper for Google Tesseract OCR.
<!-- ![pytesseract]() -->
<img src="https://miro.medium.com/max/850/1*iW_FPM6Vjag_4vnRbCuPCA.jpeg" width=100%>

#### Chinese Word Segmentation
* [jieba](https://github.com/fxsjy/jieba) - Chinese Words Segmentation Utilities.

<img src="https://pic2.zhimg.com/v2-8f3a1021d2a7a97e9083d2b632b5fd63_1440w.jpg?source=172ae18b" width=95%>


#### Concurrency and Networking
* [gevent](http://www.gevent.org/) - A coroutine-based Python networking library that uses [greenlet](https://github.com/python-greenlet/greenlet).

<img src="https://web.stanford.edu/dept/cs_edu/cppdoc/images/GEventHierarchy.png" width=95%>

#### HTTP Request
* [requests](https://github.com/kennethreitz/requests) - Python HTTP requests for humans.

<img src="https://matchingmania.com/uploads/posts/how-to-create-get-and-post-request-using-python-requests-module.jpg" width=100%>


#### Web Crawling
* [Scrapy](http://scrapy.org/) - A fast high-level screen scraping and web crawling framework.

<img src="https://res.cloudinary.com/practicaldev/image/fetch/s--xYNk7vjX--/c_imagga_scale,f_auto,fl_progressive,h_420,q_auto,w_1000/https://thepracticaldev.s3.amazonaws.com/i/dpf1jzsiy8n1tmdfxn1v.jpg" width=100%>


#### Web Content Extracting
* [newspaper](https://github.com/codelucas/newspaper) - News extraction, article extraction and content curation in Python.

<img src="https://www.edureka.co/blog/wp-content/uploads/2018/11/Untitled-1.jpg" width=100%>

#### Scientific Computing
* [scipy](https://github.com/scipy/scipy) - An open-source software for mathematics, science, and engineering. statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.

<img src="https://www.fullstackpython.com/img/logos/scipy.png" width=100%>


#### Natural Language
* [nltk](http://www.nltk.org/) - A suite of libraries and programs for symbolic and statistical natural language processing.
<!-- ![nltk]() -->
<img src="https://miro.medium.com/max/850/1*lQF-jVhavJ5Is3lJMa7HEw.png" width=100%>


#### Markdown
* [mistune](https://github.com/lepture/mistune) - The fastest markdown parser in pure Python with renderer features, inspired by marked.
<!-- ![mistune]() -->
<img src="https://github.com/lepture/mistune/raw/master/docs/_static/logo.svg" width=40%>


#### Data Analysis
* [pandas](http://pandas.pydata.org/) - A software library for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.
<!-- ![pandas]() -->
<img src="https://miro.medium.com/max/481/1*cxfqR8NAj8HGal8CVOZ7hg.png" width=100%>

-----
## Frameworks

* [Django](https://www.djangoproject.com/) - The most popular full featured web framework in Python.
* [djangopackages](https://www.djangopackages.com/) - Excellent 3rd party django package collections.

<img src="https://blog.crowdbotics.com/content/images/2019/12/python-django.png" width=75%>
<!-- ![Django]() -->

-----
## Utilities

#### Interactive Interpreter
* [IPython](https://github.com/ipython/ipython) - A rich toolkit to help you make the most out of using Python interactively.

<img src="https://www.kdnuggets.com/wp-content/uploads/ipython-nb.jpg" width=100%>
<!-- ![IPython]() -->

#### Environment
* [virtualenv](https://pypi.python.org/pypi/virtualenv) - A tool to create isolated Python environments.
* [virtualenvwrapper](https://pypi.python.org/pypi/virtualenvwrapper) - A set of extensions to virtualenv.
<!-- ![virtualenv]() -->
<img src="https://blog.sakuragawa.moe/content/images/2020/02/1-sU0gbvQv7VwK8ic_sUHqUA.png" width=100%>

#### IDE
* [PyCharm](https://www.jetbrains.com/pycharm/) - Commercial Python IDE based on the IntelliJ platform by JetBrains. Free community edition available.
<!-- ![pycharm]() -->
<img src="https://encrypted-tbn0.gstatic.com/images?q=tbn%3AANd9GcTUye_OqfXp09QDE8W__n2mI5jtJljscOzTtQ&usqp=CAU" width=100%>