Python is a programming language with many characteristics, such as an intuitive syntax and powerful data structures, which can lead to efficient code. It’s no wonder that this, as well as experienced developers, are benefitting.
There are numerous ways to approach Python learning. Here we will introduce the use of Python for data analysis and visualization. We will also review some core Python concepts and recommended resources.
Python is a high-level, interpreted, and general-purpose programming language, created on December 3, 1989, by Guido van Rossum, with a design philosophy entitled, “There’s only one way to do it, and that’s why it works.”
In the Python language, that means explicit is better than implicit. It also gives rise to the infamous Python telegraph pole analogy attributed to creator Guido van Rossum, which goes like this:
There is beauty in π, elegance in an all-numeric telephone keypad .I find myself constantly referring back to the Python Enhancement Proposals (PEPs) to see if there is a more “Pythonic” way to do things.
I think that Python is a great language for new programming students. The syntax is very intuitive and easy to learn. The vast majority of the time, you can figure out what a piece of Python code is doing just by reading it. This is in contrast to languages like C++ where the code can be very dense and difficult to interpret.
The Python standard library is also extremely comprehensive and contains everything you need to get started with programming. In addition, there are thousands of
2. The Benefits of Learning Python
Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant whitespace. It provides constructs that enable clear programming on both small and large scales. In July 2018, Van Rossum stepped down as the leader in the language community after 30 years.
Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including structured (particularly, procedural), object-oriented, and functional programming. Python is often described as a “batteries included” language due to its comprehensive standard library.
Python was conceived in the late 1980s as a successor to the ABC language. Python 2.0, released 2000, introduced features like list comprehensions and a garbage collector. Python 3.0, released 2008, was a major revision of the language that is not completely backward-compatible, and much Python 2 code does not run unmodified on Python 3.
Python interpreters are available for many operating systems. A global community of programmers develops and maintains CPython, an open source reference implementation. A non-profit organization, the Python Software Foundation, manages and directs resources for Python and CPython development.
Python was created in December 1989 by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands as a successor to the ABC language (itself inspired by SETL) capable of exception handling and interfacing with the Amoeba operating system. Guido van Rossum is Python’s principal creator; his continuing central role in deciding the direction of Python is reflected in the title given to him by the Python community, Benevolent Dictator For Life (BDFL).
In the Python community, a BDFL is a person who has the final say in what new features will be added to the language and how the language should be changed. Guido currently holds this position and his decision is generally respected by the Python community. However, Python is not exclusively owned by Guido; it has an open development model.
Python is developed under an OSI-
3. The Best Resources for Learning Python
Python is a programming language with many features, including an intuitive syntax and powerful data structures. It’s no wonder that this popular language is one of the most popular languages for beginners.
Although there are many ways to learn Python, here are three of the best resources for learning Python:
1. Codecademy’s Python Track
Codecademy offers a comprehensive and interactive Python track that is perfect for beginners. The track starts with the basics of the language and gradually builds up to more complex concepts.
Each lesson includes a short exercise to help you practice what you’ve learned. And if you get stuck, Codecademy’s friendly community is always there to help.
2. Learn Python the Hard Way
If you’re looking for a more traditional approach to learning Python, then “Learn Python the Hard Way” is the book for you.
This book takes you through the basics of the language in 52 well-organized lessons. Although the book is aimed at beginners, it also includes exercises that will challenge even experienced Python programmers.
3. Dive Into Python 3
If you’re already familiar with another programming language, then “Dive Into Python 3” is the perfect resource for learning Python 3.
This book is a comprehensive and well-organized guide to the Python language. It covers all the important topics, including object-oriented programming, data structures, and libraries.
And best of all, it’s available for free online.
So there you have it, three of the best resources for learning Python. No matter your level of experience, there’s a resource here that will help you learn Python.
4. Thepython Learning Process
Python is an unambiguous, easy-to-read, general-purpose high-level programming language which considers paradigms of structured, procedural, and object-oriented programming.
In December 1989, Guido van Rossum published the first version of the Python programming language. Python was created in the late 1980s as a successor to the ABC language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as C++ or Java. The language provides constructs intended to enable clear programs on both a small and large scale.
Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including object-oriented, imperative, functional and procedural, and has a large and comprehensive standard library.
CPython, the reference implementation of Python, is open source software and has a community-based development model, as do nearly all of its variant implementations. Python and CPython are managed by the non-profit Python Software Foundation.
Python was conceived in the late 1980s by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands as a successor to the ABC language (itself inspired by SETL), capable of exception handling and interfacing with the Amoeba operating system. Its implementation began in December 1989.
Van Rossum is Python’s principal author, and his continuing central role in deciding the direction of Python is reflected in the title given to him by the Python community, Benevolent Dictator For Life (BDFL).
Python 2.0 was released on 16 October 2000, with many major new features including a full garbage collector and support for Unicode.
Python 3.0, a major, backwards-incompatible release, was released on 3 December 2008 after a long period of testing. Many of its major features have been backported to the backwards-compatible Python 2.6 and 2.7.
Python 2.x is legacy, Python 3.x is the present and future of the language
Python 3.0 was released
5. Conclusion
Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant whitespace. It provides constructs that enable clear programming on both small and large scales. In July 2018, Van Rossum stepped down as the leader in the language community after 30 years.
Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming.
CPython, the reference implementation of Python, is open source and managed by the non-profit Python Software Foundation.
Python has been criticized for its slow speed, but the reference implementation CPython is actually faster than many popular interpreted languages. In some cases, such as numerical computation, Python code can be orders of magnitude faster than the equivalent code written in other languages.