Book Description
Are you having difficulty in your data analysis processes?
And are looking for a way to simplify information gathering, processing and analysis of data flow with speed and accuracy- with Python but don’t know how to get started, or much about this programming language?
If you’ve answered YES, keep reading….
You Are About To Dip Your Feet Into The World Of Data Analysis By Leveraging The Power Of The Most Preferred Programming Language For The Job, Python!
We’re living in a digital era where technology is getting more advanced by the day, data volumes are swelling and information handling is becoming increasingly tiresome, time-consuming and expensive.
Any tool that has a significant number of data-oriented features and packages, that can speed up and simplify data processing would be more than a life-saver to any data scientist or business enterprise churning large chunks of data that needs cleaning and better visualization.
But you know what, Python offers that and more!
I would say that it is its stunning ecosystem and simplicity that makes it the best.
Or its cross-functionality, object-orientation that is widely known to streamline complex data sets.
Perhaps I’d also mention its dynamic semantics, its entire slew of libraries, heavy support or readability that we all enjoy!
But even with all that, I still wouldn’t be able to describe exactly how much Python jibes well with data science or analysis.
But chances are you have an idea of how awesome Python is in data analysis, but have been wondering:
How does Python work? How would it assist me in data analysis?
What if I have never programmed before? Do I still stand a chance?
What should I get started with?
How do I use packages like Numpy, Pandas and Matplotlib to analyze data?
If I am right, then this is exactly where you need to be. This book will give you answers to these and more questions as it shows you how easy data analysis work can be with a platform that has built in data analysis tools and features to do all the heavy lifting.
More precisely, you’ll learn:
- What data science is and why python is ideal for its exploration
- How to install and set up Python on Mac, Windows and Linux
- What anaconda virtual environment looks like and why it’s important
- The basics of Python programming to refresh your mind
- How to approach and explore data analysis with Numpy
- How to approach and explore data analysis with Pandas
- How to go about data wrangling with Python
- How to conduct data visualization with Matplotlib
…And much more!
It’s no secret that the success of any business correlates directly with the ability to extract knowledge and insights from data to make effective strategic decisions, make progress and remain competitive. Python has enjoyed international acclamation for efficient data handling so you can rest assured that you have the right tool.
All you need to do is spend a few hours with this simple beginners’ book to understand how to get started.
Even if you’ve never used python for anything else before other than simple programming, this book will usher you into this new world of possibilities with python.
Don’t be left out….
Scroll up and click Buy Now With 1-Click or Buy Now to get started!
中文：
书名：Python For Data Analysis: A Complete Beginner Guide to Wrangling & Analyzing Data Using Python
您在数据分析过程中遇到困难了吗？
并且正在寻找一种方法来快速准确地简化数据流的信息收集、处理和分析-使用Python，但不知道如何入门，或者对这种编程语言了解很多？
如果你的回答是肯定的，请继续阅读…。
通过利用最受欢迎的编程语言–Python的强大功能，您即将涉足数据分析领域！
我们生活在一个数字时代，技术日益先进，数据量不断膨胀，信息处理变得越来越令人厌倦、耗时和昂贵。
任何具有大量面向数据的功能和包、可以加快和简化数据处理的工具，对于任何需要清理和更好可视化的大块数据的数据科学家或商业企业来说，都不仅仅是救命稻草。
但是你知道吗，Python提供了更多的功能！
我想说，正是它令人惊叹的生态系统和简单性使它成为最好的。
或者它的跨功能、面向对象，众所周知，它可以简化复杂的数据集。
也许我还会提到它的动态语义、它的所有库、强大的支持或可读性，这些都是我们都喜欢的！
但即便如此，我仍然不能准确地描述出，在多大程度上，Python与数据科学或分析之间有着天壤之别。
但很可能你已经知道了Python在数据分析方面有多棒，但你一直在想：
How does Python work? How would it assist me in data analysis?
如果我以前从来没有编程过呢？我还有机会吗？
我应该从什么开始呢？
我如何使用像Numpy、Pandas和Matplotlib这样的包来分析数据？
如果我是对的，那么这正是你需要去的地方。这本书将为您提供这些和更多问题的答案，因为它向您展示了使用一个内置了数据分析工具和功能的平台来完成所有繁重任务的数据分析工作是多么容易。
More precisely, you’ll learn:
- 什么是数据科学，为什么Python是探索数据科学的理想之选
- 如何在Mac、Windows和Linux上安装和设置Python
- 水蟒虚拟环境是什么样子的，为什么它很重要
- 让您耳目一新的Python编程基础
- 如何使用Numpy进行数据分析
- 如何使用Pandas进行数据分析
- 如何使用Python进行数据争辩
- 如何使用Matplotlib进行数据可视化
…还有更多！
任何企业的成功都与从数据中提取知识和洞察力以做出有效的战略决策、取得进步和保持竞争力的能力直接相关，这已经不是什么秘密了。在高效的数据处理方面，Python在国际上享有盛誉，因此您可以放心地使用正确的工具。
您所需要做的就是花几个小时阅读这本简单的初学者书籍，以了解如何入门。
即使您以前除了简单的编程之外从未使用过python，这本书也将带您进入这个使用python的可能性的新世界。
不要被遗漏了…。
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