Elements of programming interviews in python github
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- Elements of programming interviews in python github how to#
- Elements of programming interviews in python github install#
- Elements of programming interviews in python github software#
- Elements of programming interviews in python github code#
More than 95% of videos of deep fakes on the internet are created using deep face lab.
Elements of programming interviews in python github software#
It is written in Python and powered by caffe2 deep learning framework.ĭeepFaceLab is the leading software for creating deepfakes. It can easily implement state-of-the-art object detection algorithms, including Mask R-CNN. Here are the docs on their site also See the FAQ for information.ĭectectron is a Facebook AI research team software for object detection. It is compatible with any numerical computation library, such as TensorFlow or Theano. It is an open-source toolkit for developing and comparing reinforcement learning algorithms. Just use rebound while running the program.
Elements of programming interviews in python github code#
It contains code for each chapter.Ī command-line tool that instantly fetches Stack Overflow results when an exception is thrown. It is the code repository for the classic Python Machine Learning Book.
Elements of programming interviews in python github how to#
If all you know about computers is how to save text files, then this is the book for you. It serves tutorials for beginners' audience to programming.
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“A Byte of Python” is a free book on programming using the Python language. It includes Pip, Numpy, scipy, statpy, pyplot, matplotlib, Server configurations and tools for various web frameworks, Virtualenv, and many more topics.Ī book about Pythonic Application Architecture Patterns for Managing Complexity. The notebooks available in the repo are easy to understand and self-explanatory.Ī best practice handbook to the installation, configuration, and usage of Python on a daily basis. It has a total of 100 days of code with different topics and algorithms. This repository is best for all data science learners. It is another great repository to learn python by topics. Collection of Python scripts that are split by topics and contain code examples with explanations. ? Playground and cheatsheet for learning Python. This is best for a newbie to python who wants to gets their hands dirty by solving problems.Įach Notebook contains a bit of theory, code, and coding exercises. This repository is a collection of Jupyter notebooks to learn python. The repository is self-explanatory, but if you find it hard to understand, they have their own website with awesome GUI. It also contains different operations of the matrix, graphs, etc.Ī curated list of awesome Python frameworks, libraries, software, and resources. This Llbrary is not limited to algorithms.
Elements of programming interviews in python github install#
You can even install the repo as a package using pip install algorithmsĪn example of merge sort using the repo package. The Algorithms - Python By The AlgorithmsĪs the repository name explains itself, this repo contains almost every algorithm that you will require ever. Let’s divide the list of repositories into five parts.ġ. Most of the repositories included in this article are based on data science and machine learning. It is reported as one of the most used and best tools for data science. There are over 147,000+ packages in Python’s package repository. It is GitHub’s second-most popular language. With the help of GitHub, you can learn how to write better code, how good code looks, and the steps you need to follow to become a better developer.Īccording to Stackoverflow, Python is the most preferred language. It is like a Goldmine for developers where gold is the code written by other developers. Github can show you exactly what you need to know. Learning how to code is easy but learning how to write better code is tough. Well, the answer to all your questions is Github.
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By Abhay Parashar, Machine Learning Enthusiast