
Discover Python's origins, from the Monty Python inspiration to Guido van Rossum's design and its open-source community. Understand its use in applications and its performance trade-offs versus languages like C.
Learn Python's key features and applications, including game development, website development, machine learning, artificial intelligence, data visualization, and rapid prototyping on Windows, Mac, and Raspberry Pi.
Learn to download Python from python.org, run the installer, and complete installation on Windows by clicking download, double-clicking the installer, and selecting install now and next.
Learn the basics of Python syntax, run programs from the command line or a Python file, and grasp indentation and comments for writing clean Python code.
Learn to declare and assign variables, understand case sensitivity, and follow Python identifier rules by starting names with a letter or underscore, avoiding numbers, spaces, and special characters.
Explore python's core data types, including numeric types (int, float, complex), strings, lists, tuples, dictionaries, booleans, and sets, and learn how mutability shapes indexing and operations.
Explore Python basics by working with lists and dictionaries, storing items in a list and using key‑value pairs to access values such as brand, model, and year.
Learn how Python programs manage flow through sequential statements, selection (if and nested if), and repetition with loops, using conditional statements to decide and repeat code.
Define and call functions, pass data, and return results to show how a function runs when invoked. Organize code with modules, create module files, and import statements to reuse functions.
Explore basic Python concepts through hands-on examples, including variables, casting, type inspection, indexing, and length, plus lists and dictionaries.
The course contain everything you need to get the knowledge about.
Python is in industry demand and hence every basic knowledge will be provided by me in this course. Some of the topics we shall cover are :
Introduction to Python , Key features and Applications , Installation of Python , Basics of python , Data types , Functions , Modules , and many more.
The course is easy to understand and available in easy language.
Python will be the language of the future. Testers will have to upgrade their skills and learn these languages to tame the AI and ML tools. Python might not have bright years in the past years (which is mainly launch in the year 1991) but it has seen a continuous and amazing trend of growth in the 21st century.
One of the reasons that Python coding can be so quick is that the language doesn’t require the programmer to spend time laboriously defining data types. The interpreter is smart enough to flag errors on the run, so why not let the machine’s smarts do some of the work for us?
It is not a specific purpose language. In fact, python is a general-purpose language and these programming languages can be used for both front-end and back-end development.
Python language is not as supportive for front end as it is for back-end. But still, some of its frameworks can be used for frontend development. Its two frameworks, namely; Django and Flask are extensively used as backend programming framework by many startups.