smirnov-am/awesome-saas-boilerplates
Contribute to smirnov-am/awesome-saas-boilerplates development by creating an account on GitHub.
realpython/python-guide: Python best practices guidebook, written for humans.
Python best practices guidebook, written for humans. - realpython/python-guide: Python best practices guidebook, written for humans.
pythontensorflow/examples: TensorFlow examples
TensorFlow examples. Contribute to tensorflow/examples development by creating an account on GitHub.
dilarauluturhan/developer-resources: Software resources for developers✨
Software resources for developers✨. Contribute to dilarauluturhan/developer-resources development by creating an account on GitHub.
rasbt/python_reference: Useful functions, tutorials, and other Python-related things
Useful functions, tutorials, and other Python-related things - rasbt/python_reference
trananhkma/fucking-awesome-python: awesome-python with :star: and :fork_and_knife:
awesome-python with :octocat: :star: and :fork_and_knife: - trananhkma/fucking-awesome-python: awesome-python with :star: and :fork_and_knife:
vinta/awesome-python: An opinionated list of awesome Python frameworks, libraries, software and resources.
An opinionated list of awesome Python frameworks, libraries, software and resources. - vinta/awesome-python
Resources
donnemartin/data-science-ipython-notebooks: Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,...
neural networks#github#repositories#guides#data#science#python#notebooks#deep#learning#tensorflow#AI/ML#caffe#theano#spark#hadoop#numpy#scikit-learn#AWS#neural#networksgto76/python-cheatsheet: Comprehensive Python Cheatsheet
Comprehensive Python Cheatsheet. Contribute to gto76/python-cheatsheet development by creating an account on GitHub.
zhiwehu/Python-programming-exercises: 100+ Python challenging programming exercises
100+ Python challenging programming exercises. Contribute to zhiwehu/Python-programming-exercises development by creating an account on GitHub.
trekhleb/learn-python: 📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations. - trekhleb/learn-python
dabeaz-course/practical-python: Practical Python Programming (course by @dabeaz)
Practical Python Programming (course by @dabeaz). Contribute to dabeaz-course/practical-python development by creating an account on GitHub.
Asabeneh/30-Days-Of-Python: 30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos m...
norvig/pytudes: Python programs, usually short, of considerable difficulty, to perfect particular skills.
Python programs, usually short, of considerable difficulty, to perfect particular skills. - norvig/pytudes
trekhleb/homemade-machine-learning: 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained - trekhleb/homemade-machine-learning
wesm/pydata-book: Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media - wesm/pydata-book