Complete Python 3 Deep Learning Video Course For Free

Complete Python3 deep learning video course for free, download free python 3 video course, Variables, Functions and Functional Programming, Closures, Decorators, Modules and Packages.

Complete Python 3 Deep Learning Video Course For Free

What you will learn in this course:

  • An in-depth look at variables, memory, namespaces and scopes.
  • A deep dive into Python’s memory management and optimizations.
  • In-depth understanding and advanced usage of Python’s numerical data types (Booleans, Integers, Floats, Decimals, Fractions, Complex Numbers)
  • Advanced Boolean expressions and operators
  • Advanced usage of callables including functions, lambdas and closures
  • Functional programming techniques such as map, reduce, filter, and partials
  • Create advanced decorators, including parametrized decorators, class decorators, and decorator classes.
  • Advanced decorator applications such as memoization and single dispatch generic functions.
  • Use and understand Python’s complex Module and Package system.
  • Idiomatic Python and best practices.
  • Understand Python’s compile-time and run-time and how this affects your code.

Requirements for the course:

  • Basic introductory knowledge of Python programming (variables, conditional statements, loops, functions, lists, tuples, dictionaries, classes).
  • You will need Python 3.6 or above, and a development environment of your choice (command line, PyCharm, Jupyter, etc.)

Python 3 Deep Dive we will take a much closer look at:

Learn Python 3 Deep Learning Free Video Course:

Complete Python 3 Deep Learning Video Course For Free
  • Variables – in particular that they are just symbols pointing to objects in memory
  • Namespaces and scope
  • Python’s numeric types
  • Python boolean type – there’s more to a simple or statement than you might think!
  • Run-time vs compile-time and how that affects function defaults, decorators, importing modules, etc
  • Functions in general (including lambdas)
  • Functional programming techniques (such as map, reduce, filter, zip, etc)
  • Closures
  • Decorators
  • Imports, modules and packages
  • Tuples as data structures
  • Named tuples

To get the most out of this course, you should be prepared to pause the coding videos, and attempt to write code before I do! Sit back during the concept videos, but lean in for the code videos!

Who is the audience for the course:

  • Anyone with a basic understanding of Python that wants to take it to the next level and get a really deep understanding of the Python language and its data structures.
  • Anyone preparing for an in-depth Python technical interview.

Now! you can download Complete Python 3 Deep Learning Video Course For Free Tutorials For Free by clicking below download button, If you have a any question so! comment now!..

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