Advanced Topic with Python

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Advanced Topics with Python
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Topics

• Advanced Git Tips for Python Developers
• Pure Python vs NumPy vs TensorFlow Performance
  Comparison
• Socket Programming in Python
• Itertools in Python 3
• Python Metaclasses
• What is the Python Global Interpreter Lock (GIL)?
• Shallow vs Deep Copying of Python Objects

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Advanced Git Tips for Python Developers
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• If youve done a little work in Git and are
  starting to understand the basics we covered
  in Our Introduction to Git, but you want to learn
  to be more efficient and have more control, then
  this is the place for you!
• In this tutorial, well talk about how to address
  specific commits and entire ranges of commits,
  using the stash to save temporary work, comparing
  different commits, changing history, and how to
  clean up the mess if something doesnt work out.
• Python training in Chennai

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Pure Python vs NumPy vs TensorFlow Performance
Comparison
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• Python has a design philosophy that stresses
  allowing programmers to express concepts readably
  and in fewer lines of code.
• It is technically possible to implement scalar
  and matrix calculations using Python lists.
  However, this can be unwieldy, and performance is
  poor when compared to languages suited for
  numerical computation, such as MATLAB or Fortran,
  or even some general purpose languages, such as C
  or C.
• Numpy provides support for large multidimensional
  arrays and matrices along with a collection of
  mathematical functions to operate on these
  elements.
• TensorFlow is an open-source library for
  numerical computation originally developed by
  researchers and engineers working at the Google
  Brain team.
• Python training in Bangalore

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Socket Programming in Python
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• Sockets and the socket API are used to send
  messages across a network. They provide a form
  of  Inter process Communication (IPC).
• This tutorial has three different iterations of
  building a socket server and client with Python
• Well start the tutorial by looking at a simple
  socket server and client.
• Once youve seen the API and how things work in
  this initial example, well look at an improved
  version that handles multiple connections
  simultaneously.
• Finally, well progress to building an example
  server and client that functions like a
  full-fledged socket application, complete with
  its own custom header and content.
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Itertools in Python 3
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• It has been called a gem and Pretty much the
  coolest thing ever, and if you have not heard of
  it, then you are missing out on one of the
  greatest corners of the Python 3 standard
  library itertools.
• A handful of excellent resources exist for
  learning what functions are available in
  the itertools module. The docs themselves are a
  great place to start. So is this post.
• The thing about itertools, though, is that it is
  not enough to just know the definitions of the
  functions it contains. The real power lies in
  composing these functions to create fast,
  memory-efficient, and good-looking code.
• Python training institute in Chennai

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Python Metaclasses
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• The term metaprogramming refers to the potential
  for a program to have knowledge of or manipulate
  itself. Python supports a form of metaprogramming
  for classes called metaclasses.
• Metaclasses are an esoteric OOP concept, lurking
  behind virtually all Python code. You are using
  them whether you are aware of it or not. For the
  most part, you dont need to be aware of it. Most
  Python programmers rarely, if ever, have to think
  about metaclasses.
• Python training institute in Bangalore

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What is the Python Global Interpreter Lock
(GIL)?
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• The Python Global Interpreter Lock or GIL, in
  simple words, is a mutex (or a lock) that allows
  only one thread to hold the control of the Python
  interpreter.
• This means that only one thread can be in a state
  of execution at any point in time. The impact of
  the GIL isnt visible to developers who execute
  single-threaded programs, but it can be a
  performance bottleneck in CPU-bound and
  multi-threaded code.
• Python training institute in Pune

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Shallow vs Deep Copying of Python Objects
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• Assignment Statement in python do not create
  copies of objects, they only bind names to an
  object. For immutable objects, that usually
  doesnt make a difference.
• But for working with mutable objects or
  collections of mutable objects, you might be
  looking for a way to create real copies or
  clones of these objects.
• Essentially, youll sometimes want copies that
  you can modify without automatically modifying
  the original at the same time. In this article
  Im going to give you the rundown on how to copy
  or clone objects in Python 3 and some of the
  caveats involved.
• Python training in USA

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• Thank you
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