Great Learning Free Courses It & Software Free Python Basics Course for Beginners Python Fundamentals for Beginners 4.55  Beginner level 3.75 learning hrs 850.3K+ Learners Learn the fundamentals of Python programming, including variables, loops, object-oriented programming, file handling, regex, and Pytest. Enroll in this free Python course to gain hands-on practice for real-world coding. Instructor: Mr. Bharani Akella Key Highlights Get free course content Master in-demand skills & tools Test your skills with quizzes About this course This free online Python programming course is designed to teach you the essentials of Python, starting with core concepts like variables, data types, operators, and loops. You’ll be introduced to Jupyter Notebook, a powerful tool for interactive coding. As the course progresses, you’ll learn object-oriented programming (OOP) principles, helping you structure and organize your code efficiently. You will also cover exception handling and file management in Python, gaining the skills to handle errors and work with external data.The course also introduces you to advanced Python topics, including Regular Expressions (RegEx) for pattern matching and text manipulation. You’ll explore Pytest, learning how to write and run tests to ensure your code works as expected. Additionally, you’ll discover how to use GitHub Copilot for executing Python programs, streamlining your workflow. By the end of the course, you’ll have the practical knowledge needed to write, test, and debug Python code effectively, setting a solid foundation for your development career. Course outline Importance and Applications of Programming Languages This section discusses how programming can benefit in performing various tasks and points out to its various industry-related applications. Variables in Programming This section defines and explains various variables used in any programming language. Decision Making Statements This section discusses the relevance where conditions are involved to choose between “if” or “else” situations with real-time examples. Looping Statements This section discusses how a machine performs repeating tasks until the condition is satisfied with the real-time example. Functions in Programming This section explains how a machine understands functions by pointing out real-time examples. Object Oriented Programming Concepts This section relates how objects in real life that are associated with properties and behavior that define a class as a template in programming. Algorithmic Approach to Solve a Problem This section gives you an overview of - What the Algorithmic Approach is and demonstrates an application of this approach in programming. Intro to Python You will learn how to install Python and Pycharm IDE to get started with this programming language in this module. Next, you will get to know the installation steps of Anaconda Software. Lastly, you will learn to code your first program in Jupyter Notebook. Intro to Jupyter Notebook This section introduces you to a Python interpreter, Jupyter Notebook, and its basics. Variables and Data-types in Python This section will demonstrate how to declare variables using integer, floating point, string, and boolean data types and store them depending on the declared variable size. Operators in Python Python have three operator types: relational, arithmetic, and logical. The tutor will help you better understand these operators with the help of some examples in Python. Tokens in Python This section will brief you about four different tokens in Python, starting from keywords, and continuing with identifiers, literals, and operators with demonstrated code snippets. Strings in Python This module begins with an introduction to Python strings. You will learn to implement Python strings in 3 different ways in the Jupyter notebook. You will also be familiarized with some inbuilt string functions of Python. Data Structures in Python Data structures in Python include tuple, list, dictionary, set, conditional statement, and looping statement. This section shall enrich your knowledge on each of these with the code snippets in Jupyter Notebook. If Statement in Python This section explains why and when to use “if-else” statements and demonstrates how to use them with an example. Looping Statements in Python This section explains why and when to use “loop” statements and demonstrates how to use them with an example. Functions in Python This section shall define what functions are in Python and demonstrate how a block of code performs a targeted action with an ATM working example. Intro to Object Oriented Programming in Python This section shall begin by introducing you to OOPs, then continues by demonstrating how to create classes, adding parameters into the method, and constructors. You will then learn the concept of inheritance and understand its different types later in this section. Creating the First Class in Python This section explains why and when to create the first class in the program using Python and demonstrates its functionalities with code snippets. Adding Parameters to a Class Method This section explains why and when to add the parameters into the class in the program using Python and demonstrates its functionalities with code snippets. Creating a Class with Constructor This section explains why and when to create a class with a constructor in the program using Python and demonstrates its functionalities with code snippets. Inheritance in Python This section explains inheritance with real-time examples and discusses how it works on a program. It also demonstrates working with a program to implement inheritance. Types of Inheritance This section explains single inheritance, multiple inheritances, multi-level inheritance, and hybrid inheritance types and discusses when and how they are implemented in a program. View More Get access to the complete curriculum once you enroll in the course View Full Course Stand out with an industry-recognized certificate Start learning 10,000+ certificates claimed, get yours today! Get noticed by top recruiters Share on professional channels Globally recognised Land your dream job Python Fundamentals for Beginners 4.55 3.75 Hours Beginner Sign up with Email 850.3K+ learners enrolled so far Get free course content Master in-demand skills & tools Test your skills with quizzes Level up with advanced skills & become job ready with Pro+ Subscribe to Pro+ today to build skills with 50+ Pro courses and prep for jobs with advanced AI tools. PRO Master Python programming 3 projects 11.5 hrs video content Practice exercises Guided Projects AI Resume Builder AI mock interviews Start 7-Day Free Trial Get course + certificate with Pro+ subscription Trusted by 10 Million+ Learners globally 4.8 4.89 4.94 4.7 Learner reviews of the Free Courses 4.55 ★★★★ ★ ☆ ★★★★★ 71% ★★★★ ☆ 22% ★★★ ☆☆ 4% ★★ ☆☆☆ 1% ★ ☆☆☆☆ 2% Joseph John M S 5.0 ★★★★ ★ Easy to Learn Free Course on Python Programming Great explanations. Easy to follow. Instructions were clear, and the sessions were overall good! Read more Bhupendra Singh Bhati 4.0 ★★★ ★ ☆ Python’s Loops Have a Simple, Readable Syntax, Making It Easy for Me to Understand and Implement Loops. I would like to extend my heartfelt thanks for the wonderful course. The content was well-structured, engaging, and informative, which made the learning experience both enjoyable and enriching. I appreciate the effort you put into explaining complex topics clearly and your willingness to answer questions and provide support. Read more Mohammed FURKHAN AR 4.0 ★★★ ★ ☆ My Experience with Great Learning Has Been Transformative. My experience with Great Learning has been transformative. The platform offers well-structured courses with in-depth content, blending theoretical knowledge with practical applications. The instructors are industry experts, and their insights have made complex topics easier to grasp. The interactive assignments and quizzes reinforce learning, allowing me to apply concepts in real-world scenarios. Read more Chintan Makwana 5.0 ★★★★ ★ A Comprehensive Guide to Python: A Great Learning Experience Moreover, the course is packed with practical exercises and real-world examples that help solidify your understanding of Python. The interactive lessons and quizzes make it engaging and ensure you’re actively learning, not just passively watching. With Great Learning's dedication to quality education, you’re not just getting a certificate, but also valuable skills that can be applied in various programming scenarios. The support from instructors and a community of learners further enhances the learning experience, making it a truly comprehensive and rewarding course. Read more Henry Malpartida Aranda 5.0 ★★★★ ★ Excelente Curso para Principiantes en Python Me encantó cómo el curso explica los conceptos básicos de Python de una manera clara y comprensible. La estructura está bien organizada, con ejemplos prácticos que facilitan la comprensión de las ideas fundamentales. Recomiendo este curso a cualquier persona que esté empezando con la programación en Python, ya que brinda una excelente base para seguir aprendiendo. Read more Muhammad Haseeb 5.0 ★★★★ ★ Clear Explanations and Practical Examples. The session was incredibly insightful, providing clear explanations and practical examples that made complex topics easy to understand. I especially appreciated the interactive elements and the opportunity to ask questions throughout. The content was well-organized, and the presentation was engaging, keeping my attention from start to finish. Read more muhammad taha 5.0 ★★★★ ★ Completed Python Course - Highly Recommend! I recently completed the Python course and found it incredibly valuable. The course content was well-structured and covered all the essential topics, from basic syntax to advanced concepts like object-oriented programming and data manipulation. The instructors were knowledgeable and provided clear explanations, making complex topics easy to understand. Read more Muhammad Miqdad Haidar Ramzy 5.0 ★★★★ ★ Transformative Learning Experience in Python This basic Python training was incredibly helpful in understanding programming concepts from the ground up. The experienced instructor delivered the material clearly and in an engaging way, making learning enjoyable. I particularly liked the practical projects that allowed me to apply what I had learned. Additionally, the discussion forum, where participants could ask questions and share solutions, greatly supported the learning process. Overall, this learning experience was invaluable, and I feel much more confident to move on to more advanced topics. Read more Anass AJJA 5.0 ★★★★ ★ Engaging Content and Practical Examples! I thoroughly enjoyed the hands-on approach of the course, which made complex concepts easy to understand. The interactive exercises were particularly helpful in reinforcing my learning. Additionally, the instructor's clear explanations and real-world examples kept me engaged throughout the course. Read more CENON, ARZHEL RAIREE A. 5.0 ★★★★ ★ Easy Navigation of Python Basic Programming Topics Navigating Python’s basic programming topics has been a rewarding experience! From variables and loops to functions and conditionals, everything has been clear and easy to grasp. The structured approach to these fundamentals has made learning smooth and engaging, perfect for anyone starting out or refreshing their knowledge. Thank you so much! I've gained valuable skills, and I appreciate how this journey has sparked my curiosity to dive deeper into coding. This knowledge will definitely help me continue exploring Python and other advanced topics with confidence. Read more What our learners enjoyed the most Skill & tools 62% 62% of learners found all the desired skills & tools Our course instructor Mr. Bharani Akella Data Scientist IT & Software Expert 4.9M+ Learners 125 Courses 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. Read More Frequently Asked Questions Will I receive a certificate upon completing this free course? Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume. Is this course free? Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable. What is python and why is it popular among beginners? Python is a high-level, interpreted programming language known for its simplicity and readability, making it popular among beginners. What do you learn in this course? You start with Python basics, such as variables, data types, operators, and loops. You also practice strings and core data structures, then move into functions and object-oriented programming. How do i start learning python as a beginner? Begin by understanding basic concepts like variables, data types, and control structures. How long does the course take? Expect about 3.75 learning hours. The format is self-paced, so pacing depends on your schedule. What are the key features of python? Python's key features include simplicity, readability, a wide range of libraries, object-oriented design, and strong community support. Does the course include file handling and error handling? Yes. You learn how to read and write files and manage errors using exception handling. This approach supports practical learning during free python training. Is the Python Fundamentals for Beginners course a certification course? This Python Fundamentals for Beginners course provides a certificate of completion rather than a professional certification. Can python be used for web development? Yes, Python can be used for web development. What modules are included in the course? The course includes:Introduction to Programming and Python BasicsOOPs in PythonException and File HandlingPython RegExIntroduction to PytestTools in PytestGitHub Copilot using Python What types of projects can beginners build with python? Beginners can start with simple projects like calculators, to-do list applications, basic games, or data visualization projects using Python libraries. Is python suitable for data analysis and machine learning? Absolutely. Python is widely used in data analysis, machine learning, and scientific computing due to its powerful libraries like Pandas, NumPy, and SciPy.. What are python libraries and which ones should beginners know? Python libraries are collections of modules and functions that simplify various programming tasks. Beginners should be familiar with libraries like NumPy, Pandas, and Matplotlib. What skills will I gain after completing the free Python course? You’ll gain skills in Python programming, object-oriented design, error handling, file operations, regular expressions, automated testing with Pytest, and GitHub Copilot to speed up coding. How does this course help in real-world applications? After completing the course, you will be able to write clean, efficient Python code, process data, test code well, and apply modern tools to make you more productive and manage projects. How does python compare to other programming languages? Python is often considered more user-friendly and easier to read compared to languages like Java or C++. Its syntax is simpler and it's versatile across different fields. Who should enroll in this free Python course for beginners? This free Python course for beginners is designed for students, working professionals, and career switchers who want structured, free training from scratch Is there a specific schedule, or can I learn at my own pace for this free course? You can learn at your own pace. There is no set schedule, allowing you to study when it's convenient for you. Why is Python so popular? Python is a user-friendly programming language. It makes building applications easier, reduces the time spent on developing more extended codes by providing in-built libraries, and makes it easier for non-coders to learn to program. View More Become a Skilled Professional with Pro Courses Gain work-ready skills with guided projects, top faculty and AI tools, all at an affordable price. 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