Python 3.7 Data Analysis: With Live Projects For Absolute Beginners
Python 3.7 Data Analysis: With Live Projects For Absolute Beginners by Narendra Mohan Mittal
English | February 23, 2019 | ISBN: N/A | ASIN: B07P2SCT57 | 536 pages | MOBI | 4.20 Mb
English | February 23, 2019 | ISBN: N/A | ASIN: B07P2SCT57 | 536 pages | MOBI | 4.20 Mb
What’s New in Python 3.7
Python 3.7 is a general-purpose programming language. Python comes with a standard library that hosts a large number of useful libraries and modules that can be leveraged to solve various problems. Besides the standard library, thousands of third-party libraries are readily available on the Internet, encouraging open source and active development. The official repository for hosting third-party libraries and utilities for enhancing development in Python is the Python Package Index (PyPI). Access it at PyPI – the Python Package Index and check out the various packages. Currently, there are over 80,000 packages you can install and start using.
Python was designed keeping in mind the fact that simple and beautiful code is more elegant and easy to use rather than doing premature optimization and writing hard-to-interpret code. Python’s standard libraries are power-packed with a wide variety of capabilities and features ranging from low-level hardware interfacing to handling files and working with text data.
1.What’s New in Python 3.7
2.Continuous Delivery in Python
3.Python 3.7 Syntax and Implementation
4.An Introduction to Data Analysis
5.How to write Good Code in Python 3.7
6.The panda's Library
7.Reading and Writing using Python
8.Maximizing Your Code’s Performance
9.Generators in Python 3.7
10.Text Analysis Techniques using Python
11.Automatiion with Python
12.NumPy with Python 3.7
13.Using Microservices with Python 3.7
14.Interactive Debugger in Python
15.Tkinter in Python 3.7
16.Pylint a Python package
17.Live Project in Finance Module
18.Network News Transfer Protocol using Python
19.Implement Web-based Discussion Forum
2.Continuous Delivery in Python
3.Python 3.7 Syntax and Implementation
4.An Introduction to Data Analysis
5.How to write Good Code in Python 3.7
6.The panda's Library
7.Reading and Writing using Python
8.Maximizing Your Code’s Performance
9.Generators in Python 3.7
10.Text Analysis Techniques using Python
11.Automatiion with Python
12.NumPy with Python 3.7
13.Using Microservices with Python 3.7
14.Interactive Debugger in Python
15.Tkinter in Python 3.7
16.Pylint a Python package
17.Live Project in Finance Module
18.Network News Transfer Protocol using Python
19.Implement Web-based Discussion Forum
How to Use This Book
This book is for Students, Teachers, data scientists, experts and professionals, and researchers in academia who want to understand the understanding of latest Python 3.7 programming and Python data and text analysis with live projects. This guide presents Latest Python 3.7 programming and data analysis with live projects for absolute beginners to experts in 19 easy steps. It will help the reader grab some important concepts. Reading this book won't teach you Python data and text analysis. You can teach yourself Python and text analysis by working through all the examples and live project here, and then using what you've learned on your own problems.
Python and Data Analysis
The main argument of this book is to develop all the concepts of data analysis by treating them in terms of Python. The Python programming language is widely used in scientific circles because of its large number of libraries that provide a complete set of tools for analysis and data manipulation.
About the Author
Narendra Mohan Mittal is the Founder and Chairman of Thesis Scientist and he is working in the field of Data Science/big data/machine learning/deep learning space. He has more than 10 years in Research and Teaching and he is very active in the Big Data, Data Science, Python and Machine learning.