Python for Everybody- Learn Python 3
- 24 hours on-demand video
- 4 articles
- 9 downloadable resources
- 2 Practice Tests
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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- Learn all the coding fundamentals in Python!
- Learn about all of the latest features in Python 3
- Build games with Python
- Become an expert at list and dictionary comprehensions
- Write your own custom modules,Work with files, including CSV
- Use Python to schedule programs based on computer events.
- Have the skills and understanding of Python to confidently apply for Python programming jobs.
- Study from MIT press notes
- Get Standard libraries and Various data on related topics
- Access to a computer with an internet connection.
- No prior knowledge of Python is required.
- Prepare to write thousands of lines of python exercises!
- Having an strong enthusiasm of learning!
This course will teach you Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you!
We will start by helping you get Python installed on your computer, regardless of your operating system, whether its Linux, MacOS, or Windows, we've got you covered!
Become a Python Programmer and learn one of employer's most requested skills of 2019!
this course is for you whether you want to:
- build the skills you need to get your first Python programming job
- move to a more senior software developer position
- get started with Machine Learning, Data Science, Django or other hot areas that Python specialises in
- or just learn Python to be able to create your own Python apps quickly.
…then you need a solid foundation in Python programming. And this course is designed to give you those core skills, fast.
Questions arises in every single mind before opting any course
Will this course give you core python skills?
Yes it will. There are a range of exciting opportunities for Python developers. All of them require a solid understanding of Python, and that’s what you will learn in this course.
What if you have questions?
As if this course wasn’t complete enough, we offer full support, answering any questions .
If you want to take ONE COURSE to master Python take this course.
What material i will get in this course?
Yes, you will get study materials like
Free books on Python.
Free interview questions (frequently asked by most Industries)
Free notes from MIT Press.
- Programmers switching languages to Python.
- Intermediate Python programmers who want to level up their skills!
- Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.
- Anyone who wants to get tons of practice with the interactive exercises.
- Anyone who want to compete in python word and make the world to be smartest and better
Python tutorial provides basic and advanced concepts of Python. Our Python tutorial is designed for beginners and professionals.
Python is a simple, general purpose, high level, and object-oriented programming language.
Python is an interpreted scripting language also. Guido Van Rossum is known as the founder of Python programming.
Our Python tutorial includes all topics of Python Programming such as installation, control statements, Strings, Lists, Tuples, Dictionary, Modules, Exceptions, Date and Time, File I/O, Programs, etc. There are also given Python interview questions to help you better understand Python Programming.
Python is a general purpose, dynamic, high level, and interpreted programming language. It supports Object Oriented programming approach to develop applications. It is simple and easy to learn and provides lots of high-level data structures.
Python is easy to learn yet powerful and versatile scripting language, which makes it attractive for Application Development.
Python's syntax and dynamic typing with its interpreted nature make it an ideal language for scripting and rapid application development.
Python supports multiple programming pattern, including object-oriented, imperative, and functional or procedural programming styles.
Python is not intended to work in a particular area, such as web programming. That is why it is known as multipurposeprogramming language because it can be used with web, enterprise, 3D CAD, etc.
We don't need to use data types to declare variable because it is dynamically typed so we can write a=10 to assign an integer value in an integer variable.
Python makes the development and debugging fast because there is no compilation step included in Python development, and edit-test-debug cycle is very fast.
Python 2 vs. Python 3
In most of the programming languages, whenever a new version releases, it supports the features and syntax of the existing version of the language, therefore, it is easier for the projects to switch in the newer version. However, in the case of Python, the two versions Python 2 and Python 3 are very much different from each other.
A list of differences between Python 2 and Python 3 are given below:
Python 2 uses print as a statement and used as print "something" to print some string on the console. On the other hand, Python 3 uses print as a function and used as print("something") to print something on the console.
Python 2 uses the function raw_input() to accept the user's input. It returns the string representing the value, which is typed by the user. To convert it into the integer, we need to use the int() function in Python. On the other hand, Python 3 uses input() function which automatically interpreted the type of input entered by the user. However, we can cast this value to any type by using primitive functions (int(), str(), etc.).
In Python 2, the implicit string type is ASCII, whereas, in Python 3, the implicit string type is Unicode.
Python 3 doesn't contain the xrange() function of Python 2. The xrange() is the variant of range() function which returns a xrange object that works similar to Java iterator. The range() returns a list for example the function range(0,3) contains 0, 1, 2.
There is also a small change made in Exception handling in Python 3. It defines a keyword as which is necessary to be used. We will discuss it in Exception handling section of Python programming tutorial.