Python Fundamentals for Beginners
Enroll in this free Python Fundamentals for Beginners course to enrich your knowledge of various concepts in Python. Learn to solve with programming paradigms for real-time problems in Jupyter Notebook online.
What you learn in Python Fundamentals for Beginners ?
About this Free Certificate Course
The Python Fundamentals for Beginners course provides a solid foundation in various Python concepts, starting with an introduction to the language. The course covers essential programming elements such as variables, decision-making statements, looping statements, algorithmic approaches, object-oriented programming concepts, and functions. Additionally, students will learn about Jupyter Notebook, Python-specific variables, data structures, and fundamental Python problems. In the latter part of the course, students will delve into OOP concepts and working with inheritance. To test their understanding, students will complete an assignment to earn a free certificate upon course completion.
After completing this free, self-paced, beginner's guide to Python, you can embark on your Software and IT career with a professional Post Graduate certificate and learn various concepts with millions of aspirants across the globe!
Course Outline
This section discusses how programming can benefit in performing various tasks and points out to its various industry-related applications.
This section defines and explains various variables used in any programming language.
This section discusses the relevance where conditions are involved to choose between “if” or “else” situations with real-time examples.
This section discusses how a machine performs repeating tasks until the condition is satisfied with the real-time example.
This section explains how a machine understands functions by pointing out real-time examples.
Our course instructor
Mr. Bharani Akella
Data Scientist
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.
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Frequently Asked Questions
What are the prerequisites to learning this Python Fundamentals course?
This is a beginner's course and does not require any prior knowledge except knowing the basics of computers. The course shall give you a foundation in Python.
How long does it take to complete this free Python Fundamentals course?
Python Fundamentals is a 4 hours long course but is self-paced however. Once you enroll, you can take your own time to complete the course.
Will I have lifetime access to the free course?
Yes, once you enroll in the course, you will have lifetime access to any of the Great Learning Academy’s free courses. You can login and learn whenever you want to, and you can refer to the attached study materials at any point after enrolling in the course.
What are my next learning options after this Python Fundamentals course?
Once you grasp Python fundamentals, you can learn programming techniques and build applications by enrolling in the Full-Stack Developer course.
Why is it essential to learn Python Fundamentals?
Python fundamentals is an excellent start to learning Python language. It helps you understand everything you need to know to carry forward your programming journey, providing you with a good foundation.
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Python Fundamentals for Beginners
Python is a high-level, interpreted programming language that is known for its simplicity, versatility, and ease of use. It was created by Guido van Rossum in the late 1980s and has since become one of the most popular languages for a wide range of applications, including web development, data science, machine learning, and more. In this article, we will cover some of the key fundamentals of Python programming, including syntax, data types, control structures, functions, and modules.
Syntax:
Python syntax is designed to be simple and easy to read. Unlike many other programming languages, Python does not use semicolons or parentheses to separate statements or expressions. Instead, it uses whitespace to indicate the structure of the code. Python relies on indentation to indicate blocks of code, making it easy to read and understand.
Data Types:
Python supports a variety of data types, including integers, floats, strings, Booleans, lists, tuples, and dictionaries. Integers are whole numbers, floats are numbers with decimal points, strings are sequences of characters enclosed in quotes, Booleans are logical values that can be either True or False, lists are ordered collections of objects, tuples are similar to lists but are immutable, and dictionaries are unordered collections of key-value pairs.
Control Structures:
Control structures are used to control the flow of a program. Python supports several control structures, including if statements, for loops, and while loops. If statements are used to execute code if a certain condition is true. For loops are used to iterate over a sequence of values, while loops are used to execute code repeatedly as long as a certain condition is true.
Functions:
Functions are reusable blocks of code that perform a specific task. In Python, functions are defined using the def keyword, followed by the function name, parentheses, and a colon. The body of the function is indented, and the function can accept arguments and return values. Functions are used to encapsulate code, making it easier to manage and maintain. They can also be used to modularize a program and break it into smaller, more manageable pieces.
Modules:
Modules are collections of functions and variables that can be imported into a program to extend its functionality. Python has a large standard library of modules that provide a wide range of functionality, including math operations, file I/O, and network programming. Modules can be imported using the import keyword, and their functions and variables can be accessed using dot notation.
Python is a powerful and versatile language that is used by developers, data scientists, and machine learning experts around the world. Its simple syntax, wide range of data types, powerful control structures, reusable functions, and extensible modules make it an ideal choice for a wide range of applications. Whether you are a beginner or an experienced programmer, Python has something to offer.
