Python for the Absolute Beginner

Python has been the growing and most sought-after programming language of the past decade. In this course, you’ll start your journey as a Programmer with Python. This course requires zero experience in programming or coding. This course will teach foundational concepts such as data types, operators, functions, and basic Python internals. After each module, you’ll enjoy access to practice questions to better understand the concepts. The Python Basics Course offers you. The most visualized Python course ever so that you can learn complex concepts in ways that are easy to understand Practice quizzes after each lecture to lock in the concepts and build on each module And much more. Python is an in-demand skill that can boost your career. Join us and the Python Institute in upgrading your skill set. Learn Python and prepare for a much sought-after Python Institute certificate. Who Should Take This Course: This Python Basics course is designed for: - Programming beginners seeking Python certification Start Your Python Basics Journey Today: If you’re new to programming and eager to earn a Python certification, seize this opportunity. Enroll with KodeKloud today and explore our Python Basics course along with other valuable offerings to fuel your programming aspirations.

• Python - Introduction
• The "Python - Introduction" module serves as an orientation to the Python for Beginners course. Participants are introduced to the course content, structure, and objectives. They gain an understanding of what to expect from the course and the skills they will acquire upon completion. This module sets the stage for the rest of the course by providing participants with a clear overview of the learning journey ahead.
• Python Basics
• The "Python Basics" module provides participants with essential knowledge and skills to get started with Python programming. Participants learn about the Python programming language, including its syntax and basic concepts. Through hands-on labs, participants gain practical experience in using the print function to display output, working with different types of literals, and understanding various operators for performing operations in Python. Additionally, participants learn about variables, comments, input functions, and string methods, enabling them to write basic Python programs efficiently.
• Decision Making in Python
• The "Decision Making in Python" module focuses on teaching participants how to make decisions in Python programs using comparison operators and conditional statements. Participants learn about various comparison operators and how they can be used to compare values in Python. Through hands-on labs, participants practice using comparison operators to make decisions based on different conditions. The module also covers conditional statements such as if, elif, and else, allowing participants to control the flow of execution in their Python programs based on specific conditions.
• Iteration in Python
• The " Iteration in Python" module introduces participants to the concept of loops in Python, including both while and for loops. Participants learn how while loops are used to iterate over code blocks based on specific conditions, allowing for repetitive execution. Through hands-on lab exercises, participants practice implementing while loops to gain practical experience.
• Exploring Logic and Bit Operations in Python
• The "Exploring Logic and Bit Operations in Python" module introduces participants to logic and bitwise operators in Python. Participants learn how logic operators such as AND, OR, and NOT are used to perform logical operations and make decisions in Python programs. Through hands-on lab exercises, participants practice implementing logic operators to evaluate conditions effectively. Additionally, the module covers bitwise operators, which are used to perform bitwise operations on binary numbers. Participants develop proficiency in using bitwise operators through further hands-on lab exercises.
• Exploring Python Lists
• This module covers the fundamental concept of lists in Python and various operations associated with them. Participants learn about the versatility of lists and how they can be used to store and manipulate data effectively. Through hands-on lab exercises, participants gain practical experience in using list methods to perform common operations. The module also covers iteration techniques for accessing and processing list elements, as well as slicing methods for extracting subsets of elements based on specific criteria. Additionally, participants explore nested lists and learn how to work with 2D and 3D nested list structures through hands-on labs.
• Python Functions
• The "Python Functions" module introduces participants to the concept of functions in Python and their significance in code organization and reusability. Participants learn how to define and call functions to encapsulate reusable code blocks, promoting modularity and maintainability. Through hands-on lab exercises, participants gain practical experience in working with function arguments, including positional and keyword arguments. Additionally, participants learn about the return statement and its role in returning values from functions, enabling them to write more efficient and structured Python code.
• Tuples & Dictionaries
• The "Python - Tuples & Dictionaries" module covers two fundamental data structures in Python: tuples and dictionaries. Participants learn about tuples, immutable ordered collections of data, and how to effectively manipulate them. The module also explores dictionaries, key-value pair data structures, and their role in efficient data storage and retrieval. Through hands-on lab exercises, participants acquire practical skills in working with both tuples and dictionaries, enabling them to utilize these data structures effectively in Python programming.
• Exceptions
• The "Exceptions" module delves into errors and exceptions in Python, essential concepts for handling unexpected situations in code execution. Participants learn about the different types of errors and exceptions that can occur in Python programs, along with their hierarchical structure. Through interactive content, participants are challenged to test their knowledge of errors and exceptions through a quiz. This module provides a comprehensive understanding of how to identify, categorize, and handle errors and exceptions effectively in Python programming.
• Python Internals and conclusion
• The "Python Internals and Conclusion" module offers participants a deeper understanding of Python's internal mechanisms, shedding light on its interpreter, execution model, and underlying architecture. Participants explore the inner workings of Python, gaining insights into its design principles and core concepts. Additionally, the module provides a conclusion to the course, summarizing key takeaways and reinforcing learning outcomes.