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Chapter 9 in this chapter explain numpy in python programming. This chapter explains lambda function in python programming. Chapter 11 in this chapter explain pandas in python programming. Chapter 12 in this chapter explain python pandas functionality.

Chapter 12 in this chapter explain data frame basic functionality. Chapter 13 in this chapter explain python pandasstatical functions. Chapter 14 in this chapter explain python panda visualization. Chapter 15 in this chapter explain data visualization in python programming. Chapter 16 in this chapter explain object oriented programming. Chapter 17 in this chapter explain module in python programming.

Chapter 18 in this chapter explain python library. Chapter 19 in this chapter explain turtle graphics in python programming. Chapter 20 in this chapter explain brief tour of the standard library. Book excerpt: Many advanced guides on the internet tell you about fancy tricks and advanced concepts when working with Python.

But the truth of the matter is that there are no 'advanced' concepts in programming with Python. The only concept that can be introduced as advanced at this point is the complexity of implementing different elements during coding. Many books ambiguously present their own 'advanced' versions of the same concept being learned at the beginner and intermediate level.

In this book, the focus is not on simply 'concepts' alone. On the contrary, you will find that the majority of the book focuses on practical applications. We'll implement what you have learned when you initially began your journey of learning Python programming to explain an entirely new perspective of accomplishing tasks with greater effectiveness and efficiency.

The main hurdle in programming is encountering unexpected errors and not knowing how to handle them because of inexperience. This book addresses such problems and ensures that you will be able to create a fully-fledged application on your own and even handle the distribution process.

Here's a quick run-down of what this book features: -Emphasis on practical instead of theoretical concepts. If you're interested in learning to master the skills of Python then this is the book for you. This book was released on with total page 42 pages. Book excerpt: Continue reading if you want to learn the world's most current programming language.

Python is a programming language with a high degree of abstraction. It is a contemporary language that is simple to learn and comprehend while being very powerful.

Python is a powerful programming language that is now being used on a wide range of projects, from world-class Internet companies to small hobbyists. It is incredibly adaptable and may be used in a variety of disciplines. Python allows you to create applications, games, and software of any kind. Python is, in fact, one of the most in-demand skills among professional developers.

Python Advanced Guide handles this programming language in a highly practical manner to ensure that you can learn all you need to know to begin working with Python as soon as possible and to handle the advanced features of this unique language.

You will discover Advanced procedural programming techniques What is Dynamic Code Execution Advanced OOP Functions most developers are unaware of Functional-style programming with Python How to debug, test, and profile your software How to handle multiple processes The best techniques for distributing the workload across multiple threads Do you want to learn more?

NO BS! NO Nonsense! Straight to the point! Have you ever wonder why your colleagues are coding faster than you? Do they know some tricks and hacks that you don't with Python? What if, this book is going to reveal the latest features, and neat tricks that going to make your programming better and faster. Imagine, no more working late nights or debugging messy codes. Learning and improving your python skills your career asset will open opportunities with many companies requiring their engineers, programmers, consultants and developers with Python background to automate their systems.

What you will learn in Python: Learn Python Advanced in 7 Days and ACE IT WELL You will learn how to be an advance python specialist You will get to learn all about iterators, generators, descriptors and many more You will explore all the important features that Python offers for advanced programmers You will understand and learn how to use Python's powerful data analysis libraries that are making Python bypass R.

Start today by making the smartest investment you could possibly make. An investment in yourself, your knowledge, your career and your prospect. This book was released on with total page 68 pages. Most of the techniques covered arenot needed every day, but in the right circumstances they can make a crucialdifference, allowing us to write clean and straightforward code rather thanhaving to resort to hacks and workarounds to achieve what we need. Author : Maurice J. Thompson and published by Independently Published.

Book excerpt: Eager to learn Python Programming Quickly? This book has actionable information that will help you to understand python at an advanced level. Welcome to the final issue of our Python programming book series. This book is the advanced edition that you have been building up to as you went through the exercises in the last two books.

This third issue of the book is even more comprehensive than the previous editions but equally educative and illuminating. Let's begin. Along the way, it covers type-hint based linting, low-overhead testing and other automated quality checking to demonstrate a robust real-world development process. Some powerful aspects of Python are often documented with contrived examples that explain the feature as a standalone example only. By following the design and build of a real-world application example from prototype to production quality you'll see not only how the various pieces of functionality work but how they integrate as part of the larger system design process.

It is especially of use to developers looking to progress to a more senior level and to very experienced developers who have thus far used older versions of Python. What You'll Learn Understand asynchronous programming Examine developing plugin architectures Work with type annotations Review testing techniques Explore packaging and dependency management Who This Book Is For Developers at the mid to senior level who already have Python experience.

Book excerpt: Attain a deep understanding of building, maintaining, packaging, and shipping robust Python applications Key Features Discover the new features of Python, such as dictionary merge, the zoneinfo module, and structural pattern matching Create manageable code to run in various environments with different sets of dependencies Implement effective Python data structures and algorithms to write, test, and optimize code Book Description Python is used in a wide range of domains owing to its simple yet powerful nature.

Although writing Python code is easy, making it readable, reusable, and easy to maintain can be challenging. Complete with best practices, useful tools, and standards implemented by professional Python developers, this fourth edition will help you in not only overcoming such challenges but also learning Python's latest features and advanced concepts.

The book begins with a warm-up, where you will catch-up with the latest Python improvements, syntax elements, and interesting tools to boost your development efficiency. Further, the initial few chapters should allow experienced programmers coming from different languages to safely land in the Python ecosystem.

As you progress, you will explore common software design patterns and various programming methodologies, such as event-driven programming, concurrency, and metaprogramming. Finally, you will understand the complete lifetime of any application after it goes live. By the end of the book, you should be proficient in writing efficient and maintainable Python code. What you will learn Explore modern ways of setting up repeatable and consistent Python development environments Effectively package Python code for community and production use Learn about modern syntax elements of Python programming, such as f-strings, dataclasses, enums, and lambda functions Demystify metaprogramming in Python with metaclasses Write concurrent code in Python Monitor and optimize the performance of Python application Extend and integrate Python with code written in different languages Who this book is for The Python programming book is intended for expert programmers who want to learn Python's advanced-level concepts and latest features.

Anyone who has basic Python skills should be able to follow the content of the book, although it might require some additional effort from less experienced programmers.

It should also be a good introduction to Python 3. Book excerpt: Are you looking for a complete guide on python? Then keep reading Python is a programming language that has several features that makes it very attractive to programmers and developers. First of all, Python is a free programming language which means it is available for anybody. Python is also an open-source language which means you can contribute to the source code if you wish.

In fact, Python is a language that is supported by a community that gathers its effort through the internet to improve this language.

Python is a language that belongs to the category of high-level languages. It implies also that the syntax of Python is very easy to use and learn. These features make Python programs to be easily developed, interpreted, and maintained at low cost. Therefore, it allows sharing and collaborating to develop applications based on Python very efficient.

Being an easy syntax and high-level programming language does not mean that Python is a very slow programming language. In fact, Python is considered a very competitive and productive language. In addition to requiring less typing and debugging, Python does not require compiling.

Once a Python script is developed, it can be run directly without additional steps of compiling or linking to other tools or libraries. Python comes with a default library called the standard library which includes a set of modules like the math module for mathematical and numerical programming.

Moreover, Python supports using other libraries developed by third parties. There is a wide range of third parties' packages that are available online and allows using advanced tools for a specific domain e.

Numpy library for Numerical programming with Python, Pandas, Matplotlib for developing figures and so on. Hence, when coding with Python language, you have access to a wide set of tools and pre-coded and built-in objects that can be easily used. You never start from scratch because there is a high chance that the function you want to use was already coded and made available for use by anybody.

Python can be considered as a hybrid language in the context that it allows integrating and to be integrated with other programming languages.

Are you curious about Phyton Programming? Start learning now by clicking the "Buy Now" button. International Consulting Limited. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing.

By the end of this Learning Path Advanced Python Programming, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems.

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WebSep 14, �� Free PDF Download - Advanced Python Programming: You are here: Home Limited-Time Offers Advanced . Web� Binding a variable in Python means setting a name to hold a reference to some object. � Assignment creates references, not copies � Names in Python do not have an intrinsic . WebPython Guide - Home | Read the Docs.