• Learning Python

  • The Ultimate Guide to Learning How to Develop Applications for Beginners with Python Programming Language Using Numpy, Matplotlib, Scipy and Scikit-Learn
  • By: Samuel Hack
  • Narrated by: Sean Antony
  • Length: 3 hrs and 2 mins
  • 4.9 out of 5 stars (84 ratings)

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Learning Python

By: Samuel Hack
Narrated by: Sean Antony
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Publisher's Summary

Are you looking to learn more about the world of coding and programming but you are worried that it is going to be too hard and too complicated to get started?

Have you been interested in learning how to code but worry that it is too hard and that you won't be able to learn all of the different parts that come together to make a program work?

Do you have a great idea for an app or a program that you want to create but you don't know how to make it all work and how to put it together?

There are a lot of reasons to learn a new coding language but no matter what reason is behind your motivation, the Python coding language is going to be the platform that you need to make it all happen. This guidebook is going to spend some time looking into the Python coding language, and all of the different things that you are able to do with it.

In this guidebook, we are going to explore a lot of the different parts of the Python code and how you can put it all together while learning how to code!

Some of the topics that we will discuss inside include:

  • What is Python and why would I want to learn how to work with it?
  • The basics of the Python code and how to get started writing some of our own
  • What it means that Python is an OOP language and how that is going to make a difference in my coding
  • How to write some loops and conditional statements in the Python language
  • What is an exception and how to handle the automatic exceptions in this code while writing some of your own
  • How to work with an inheritance to save some room and make code writing a bit easier
  • How to write some of your own regular expressions and why they are so important to your goals in code writing with Python
  • A look at some of the best Python libraries including Matplotlib and Scikit-Learn and what you are able to do with them when you are working on your codes

There is just so much that you will be able to do when you decide to work with the Python coding language.

Even if you have never worked with any kind of coding language in the past. Python is definitely going to make things easy to start, and you will be writing some of your own codes in no time.

When you are ready to get started with Python and writing some of your own Python codes, even with machine learning in the process make sure to check out this guidebook to help you get started.

Get this audiobook now!

©2019 Samuel Hack (P)2019 Samuel Hack

What listeners say about Learning Python

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Outstanding data conveniently clean and organized

Python learning is the field of artificial intelligence that allows machines to learn and be able to make predictions from data. The magic of all this is that there are no instructions involved. You give it the data conveniently clean and organized, you leave it working for a reasonable time and it will tell you if you will be able to pay the mortgage next year .

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Good breadth-over-depth intro to data science

It covers a wide variety of topics, and it goes into enough detail that the reader should have no trouble implementing the basic concepts, without going into so much detail that the listener is bogged down in minutiae. Thanks to the author for this modern days programming help tools.

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Learn python from the basics on up

Pretty good for learning python. There are lots of ways to interface with python. You don't have to go back and forth trying to catch up with his flow. I'm not even half way and I can super vouch for this .Notepad ++ is good for code editing. I recommend to someone who is learning from scratch.

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Really, Suitable for a beginner like me

Content is good and easy to understand. Suitable for a beginner like me. Everything is clearly explained to help you troubleshoot your programs. it also has included projects that teach you while you make something. the encourages you to experiment with what it’s teaching you to learn.

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Nicely ,Each code line is explained properly

Nicely explains basic concepts along with code. Each code line is explained properly. Lots of code lines to explain. Three projects at the end are really great way to enforce language and also to introduce different Python modules. I found them really helpful.

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Perfect for tech challenged python learners

I've wanted to learn Python for a long time to help me with my work. This literally starts with downloading Python correctly onto your computer something I've had difficulty in the past with other programs.This is perfect if you need a slow-and-steady introduction to Python with a lot of hand-holding and workable examples.

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Content awesome, pacing awesome

The content of this is great . The pacing of the course is perfect for me. No complaints regarding the content.The lessons are in nice, bite sized chunks and work perfectly for me since I cannot sit down for long stretches but have to squeeze in some lessons and audit periodically over the course of the day.

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Give you supplement is needed understanding coding

It will give you such a good intuitive understanding and overview of the subject matter that you'll know what to do to proceed next, and how to do it without running in circles. Even better, you'll likely already have applied it to your office.

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Incorporate machine learning for researchers

All the concepts mentioned here are heavily backed with well thought of and well presented figures, in such a way that again I'd suggest for the researchers If you do know python, loading the data sets and reproducing the figures is just a few lines of easy to understand code.

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Introductory level on machine learning with python

Yes, it does provide instruction for installing R-Studio and Anaconda Python in all the most common OS environments.Excellent introductory level audio book on machine learning with python. Provides both the context for understanding what programming Language can do and the basic tools necessary to try Real World Algorithms and Datasets.