Python Crash Course: An Introduction Guide with Fundamentals of Computer Science for Total Beginners with Hands-On Projects, Tricks and Tip, Matthes Adrienne Hawkes, Tacke John
Do you want to learn the basics concepts of Phyton coding? Do you want to know more about Phyton and make things work in no time? Then this book is for you
The first thing we need to look at here is the keywords. These seem pretty straightforward, but it is so important to understand that they tell the compiler how it needs to act and behave with the projects that you are doing. These keywords are ones that are reserved to tell the compiler what it needs to do. Since they are reserved, the computer programmer needs to remember to use them properly so that the compiler can take that command and get things done.
You need only to use them in the specified parts of the code, or it leads to error messages and other problems. If you properly use them, the compiler will be given command of what you want it to do, and it can then execute the code in the right way. These words are essential to the whole code and learning what they are is going to make code writing more comfortable as well. You will be able to notice a lot of these keywords as we progress through this guidebook and write some of our codes.
This book contains:
Python Programming Basics
What Is Scikit-Learn, And Why Should I Learn About It?
Essential Libraries And Tools In Python
Modules
Machine Learning Datasets
Training Simple Machine Learning Algorithms For Classification
Unsupervised Machine Learning
Learning In Artificial Neural Networks
And many more
Learning to code can seem complicated but it is not Let this book show you how to do it
Learning to code is just like playing a new sport or practicing an instrument--just get started From the basic building blocks of programming to creating your very own code, this book teaches essential Python skills to kids ages 10 and up with 50 fun and engaging activities.
Master fundamental functions, create code blocks, and draw and move shapes with the turtle module--these interactive lessons offer step-by-step guidance to make computer programming entertaining to future coders. You can even see the results of your coding in real time With helpful hacks and screenshots for guidance, the only question that Coding for Kids: Python leaves unanswered is: what will you build next?
Coding for Kids: Python includes:
Game-based learning--Kids study coding concepts by putting them into practice with 50 innovative exercises.
Creative projects-- Coding for Kids: Python encourages kids to think independently, modify code, and express their creativity with every lesson.
Easy-to-follow guidance--Straightforward directions and tips keep coders engaged every step of the way.
Give the technologists of tomorrow the gift of fluently coding while having tons of fun with Coding for Kids: Python.
If you've been thinking about digging into programming, Python Programming will get you writing real programs fast. Why wait any longer? Start your engines and code
Are you interested in learning more about programming and coding? This book will help you a lot. This book is the perfect guide for people who want to learn about Phyton programming, its application for data science.
There are a lot of benefits that come with the Python coding language, and this is one of the reasons why so many people like to learn how to code with this language compared to other options. First, this coding language was designed with the beginner in mind.
There are so many great ways that you can use the data you have been collecting for some time now, and being able to complete the process of data visualization will ensure that you get it all done, when you are ready to get started with Python data science.
This book contains:
What Is Python And Why Should You Learn It
Conditional Statements In Python
Working With Functions
Working With Files
Python Libraries
What Is Scikit-Learn, And Why Should I Learn About It?
Machine Learning VS Deep learing
Work With Numpy
Work With Pandas
Unsupervised Machine Learning
Learning In Artificial Neural Networks
And many more.
If you are a beginner or a medium level who loves coding with Python, then this large bundle is going to be one of the best resources for you to use. It will help you to get all of your questions answered and ensures you are going to be able to finish your project, even if you get stuck on it for a bit.
This book is the perfect guide for people who want to learn about Phyton programming, in particular its application for data science.
There are so many great ways that you can use the data you have been collecting for some time now, and being able to complete the process of data visualization will ensure that you get it all done, when you are ready to get started with Python data science.
This guide book contains:
What Is Data Science And Why Should You Learn It Using Python
Can I Use Probability And Statistics To Help Me With Machine Learning?
Work With Numpy
Work With Pandas
Learning About Functions
Identifying The Nearest Neighbors
Learning About Functions
Deep Learning Vs Machine Learning
Applications Of Big Data Analysis
And many more
Loops are going to be next on the list of topics we need to explore when we are working with Python.
These are going to be a great way to clean up some of the code that you are working on so that you can add in a ton of information and processing in the code, without having to go through the process of writing out all those lines of code. For example, if you would like a program that would count out all of the numbers that go from one to one hundred, you would not want to write out that many lines of code along the way. Or if you would like to create a program for doing a multiplication table, this would take forever as well. But doing a loop can help to get all of this done in just a few lines of code, saving you a lot of time and code writing in the process.
Want to know more about this book? Buy now
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