Learn Python Programming for Beginners: The Complete Guide to Learn Coding with Python. Become Fluent In This High-Level Programming Language, Scratch Jason
Python was created in 1990 by Guido van Rossu, and is a general-purpose, high-level programming language. It has become extremely popular over the past decade, thanks to its intuitive nature, flexibility, and versatility. Python can be used on a wide variety of operating systems, and its clean, readable code style makes it relatively beginner-friendly, while not as fast as other languages, such as C++ or JAVA, Python code is often much shorter and simpler than other languages.
Python also supports several packages and modules created by other developers to make the development of Python applications quicker and easier.
There are hundreds of different programming languages out there in the world, with Wikipedia listing over 700 notable languages. Given how many languages you could potentially learn, why learn Python?
Python has seen an explosion in popularity in recent years, driven by several aspects that make it an incredibly versatile and intuitive language. A huge selling point of Python is the cleanliness and readability of its syntax and structure. Commands in Python can often be carried out using simple English keywords, which makes the language much more intuitive than many other languages. Python is also quite versatile in the sense that it supports both structured programming and object-oriented programming approaches. Python even allows the use of certain aspects of functional programming.
This Book Covers:
Understanding Python
Why the name "Python"?
Python Glossary
Python Installation
Python Data Types
And much more
Despite its simplicity, Python is also sturdy and robust enough to carry out complex scientific and mathematical tasks. Python has been designed with features that drastically simplify the visualization and analysis of data.
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Python is among the top programming languages that universities and industries prefer to teach and use, respectively. The charm of Python is hidden in the fact that it has extensive applications in a wide range of fields. Most people hate Python because of its use in building artificial intelligence models. This fast-paced, thorough introduction to programming with Python will have you writing programs, solving problems, and making things that work in no time.
Python is very easy to read and learn. You can easily read source codes for different programs that are created by other programmers. But, it needs, like all the other programming languages, dedicated practice. You will have to get to the Python editor and practice all codes. In this book you'll learn basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You'll also learn how to make your programs interactive and test your code safely before adding it to a project. At the end you'll put your new knowledge into practice.
This book covers the following topics:
Evolution of Python
Introduction to Python
Variables and constants in Python
How to install Python
Designing and using Functions
A modular approach to program organization
Using methods
Reading and writing files in Python
And much more
If you've been thinking about digging into programming, Python Crash Course will get you writing real programs fast.This book will teach you how to develop basic programming structures, including loops. Then you will move on to expressions, variables, and operators. You will also explore unique data structures, such as tuples. You will also learn how to create various python programs using loops and control statements. Why wait any longer?
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Автор: Scratch Jason Название: Python for Data Analysis: Master Deep Learning with Python Language and Become Great at Programming Python for Beginners with Hands-on Project ( ISBN: 1914183029 ISBN-13(EAN): 9781914183027 Издательство: Неизвестно Рейтинг: Цена: 18350.00 T Наличие на складе: Нет в наличии. Описание: Are you interested in seeing what deep learning, machine learning, and data analysis are all about and how they are going to be able to help you to get more out of your business and make good decisions about the future of your company? Would you like to see how all of this is going to come together and make you more profitable than ever?
This guidebook is going to be the perfect companion and tool for your needs. You will find that we will talk about all of the topics that you need to know when it comes to working with data analysis and data science in no time. And it will not take long before we actually use some of these projects and processes on our own as well.
Many companies want to find ways to get ahead of their competition and provide the best options to their customers all at the same time. And they want to make sure that they are making some of the best decisions that you need in order to get ahead in your competition.
Some of the highlights of the book include:
What is deep learning
How to conduct a data analysis
The different Python libraries that you are able to use for deep learning.
Understanding some of the math behind neural networks.
The basics of working with the TensorFlow library that can help you with your deep learning project.
How to handle the Keras library for your needs.
The PyTorch library and how this library is going to be able to help us out with machine learning and deep learning.
Looking more at machine learning and how we are able to fit this into some of the data analysis that we are talking about.
How deep learning is going to be helpful when it is time to handle your own predictive analysis.
Deep learning, machine learning, and data analysis are important parts of many business today. These topics and processes are going to help us to really explore the industry, the customers, the competition and more that are going to come out when we want to help our business succeed and when we want to figure out what steps we need to take in order to get ahead of the competition.
Are you ready to want to master this?
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In this book you can learn all about Python machine learning, data science, data analysis, and programming. Once you get the hang of the basics, this crash course will help you use all this knowledge for practical tasks and start programming in seven days
This is a complete Python guide with 3 Manuscripts in 1 book:
1.Learn Python Programming
2.Python Crash Course
3.Python for Data Analysis
A great opportunity for you: simplicity, wide selection of topics to learn, practical exercises and quick and selected examples.
In Manuscript 1 "Learn Python Programming" you'll learn:
Understanding Python
Why the name "Python"?
Python Glossary
Python Installation
Python Data Types
And much more...
In Manuscript 2 "Python Crash Course" you'll learn:
Evolution of Python
Introduction to Python
Variables and constants in Python
How to install Python
Designing and using Functions
A modular approach to program organization
Using methods
Reading and writing files in Python
And much more...
In Manuscript 3 "Python for Data Analysis" you'll learn:
What is deep learning
How to conduct a data analysis
The different Python libraries that you are able to use for deep learning.
Understanding some of the math behind neural networks.
The basics of working with the TensorFlow library that can help you with your deep learning project.
How to handle the Keras library for your needs.
The PyTorch library and how this library is going to be able to help us out with machine learning and deep learning.
Looking more at machine learning and how we are able to fit this into some of the data analysis that we are talking about.
How deep learning is going to be helpful when it is time to handle your own predictive analysis.
And much more...
This book is for people who dream of becoming expert programmers without spending months learning the basics. If you set aside some time every day to read this book and practice, then you'll be able to start developing your programs and apps in no time.
Ready to get started?
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Автор: Jason Scott Название: Python for Kids: Learn Code From Scratch With This Friendly Guide To Programming ISBN: 1671973909 ISBN-13(EAN): 9781671973909 Издательство: Неизвестно Цена: 19510.00 T Наличие на складе: Невозможна поставка. Описание: You Are About To Step Into The Next Phase Of Your Life Where You Know How To Write Code From Scratch Using Python Irrespective Of Your Age
Python is now top on the list of the most taught first programming languages in universities around the world. There is something that these top universities know that makes them opt to teach python before any other language You may not know it as an average Joe/Jane but it makes sense that you've decided to make python the first programming language for child.
Python features a flexible syntax, has a low barrier to entry and teaches very good programming fundamentals that will without doubt support your child for the rest of their programming life.
And the fact that it is child friendly, it means a complete newbie (like yourself) will also find learning python easier than many other programming languages.
So where do you start in introducing your child (or yourself) to python?
What do you need to set up to get started?
How do you get past the lingo so that you (or your child) understand what is being taught and can speak about python, just like the pros?
What do you (or your child) need to learn first?
How do you (or your child) write your first program on python?
If you have these and other related questions about introducing your child (or yourself) to python, this book is for you so keep reading, as it covers the ins and outs of python programming to help you (or your child) to develop a strong foundation to python, something which will guide you (or them) for years to come
More precisely, in this book, you will find:
The basics of python, including what it is, how to download and set up on Windows, macOS and Linux, what it can do and more
The benefits of using Python and what makes it special from other programming languages as well as the drawbacks
The different python implementations and how each of them works
The meaning of some of the common words/terms used in Python programming to help avoid confusion and get you started on your first code
Basic commands in python and how to execute them
An introduction to IDLE in python, what it does, the features and much more
How to write your first program in python
The different python libraries and how to make the most of them
Important rules that you should follow while programming in python for best results
How to make the most use of lists, variables, data types, strings, dictionary, keywords, loops, functions, tuples and other concepts in python to achieve different goals
Decision control structure in python, including an in-depth look into the different concepts involved
How to identify and fix errors in python like a pro
And much more
The book is complete with examples and illustrations to help you or your child to understand everything taught in the book. What's more; it uses beginner friendly, step by step language to help you or your child apply everything
Just scroll up and click Buy Now With 1-Click or Buy Now to get started today
If you are a student or a professional looking for more technical skills, or if you are simply curious about the most up-to-date data analysis techniques and their powerful applications, then this is definitely the book for you.
Learning all of the required skills to master data science and machine learning could certainly be challenging, but in this book, Jason Callaway has condensed all of the knowledge you need into a clear and beginner-friendly introduction, with practical examples, detailed explanations, and tips and tricks from his experience.
Through his revolutionary and systematic approach, you can learn techniques to manipulate and process datasets, the principles of Python programming, and their real-world applications, regardless of your previous experience.
Here's just a tiny fraction of what you will discover:
What data science is, and why it has become fundamental in hundreds of business and technological applications
The basics of Python programming
Essential Python libraries such as NumPy, Pandas, and Matplotlib
All of the most effective computational methods for data analysis
Data visualization tools and techniques
How to build statistical and machine learning models (even if you are brand new to programming)
The future of Artificial Intelligence
How to build neural networks with Python
Step-by-step exercises, practical examples, and tips and tricks
Are you ready to develop a successful career in the growing industry of data science?
