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The "Python Programming Bible" course on Coursera is a comprehensive and well-structured program designed to take learners from beginners to advanced Python programmers. Spanning across 8 detailed modules, this course offers a perfect blend of theoretical concepts and practical exercises, making it ideal for anyone looking to master Python for various applications. **Course Overview & Content** The course begins with an introduction to the history of Python, discussing its significance and areas of application. This foundational knowledge helps students understand why Python remains a popular choice among programmers. The initial modules also guide learners through installing Python using the Anaconda package and executing their first program via Jupyter Notebook, setting a solid groundwork. Subsequent modules delve into core programming concepts including data types (numbers, strings, lists, tuples, dictionaries, sets), control statements (if, while, for loops), and advanced features like list comprehensions and generator functions. These sections emphasize both understanding and applying Python’s dynamic typing, which offers flexibility and power in scripting. The course then transitions into functions and modular programming, exploring nested functions, variable scope, lambda functions, and functional programming tools like map, filter, and reduce. This segment equips learners with skills critical for writing clean, efficient, and reusable code. Further modules introduce object-oriented programming, covering classes, inheritance, abstract classes, and operator overloading with practical examples. The final module focuses on exception handling, teaching students how to write robust and error-resilient code using try-except blocks, custom exceptions, and class hierarchies. **Additional Resources & Preparation Materials** The course provides comprehensive Jupyter notebooks and PowerPoint slides for each module, enhancing the learning experience. Over 230 assignments and interview questions with answers are included, which are invaluable for exam preparation or interview readiness. **Review & Recommendations** This course stands out for its thoroughness and practical approach, making complex concepts accessible to learners at all levels. The inclusion of real-world examples, assignments, and interview questions ensures that students can apply their knowledge confidently in professional scenarios. I highly recommend this course for aspiring data scientists, machine learning enthusiasts, software developers, and anyone interested in learning Python in depth. Whether you are a complete beginner or looking to solidify your Python skills, this course provides a strong foundation and advanced insights to help you succeed. **Final Verdict** A well-rounded, detailed, and application-oriented Python course on Coursera that prepares students for real-world programming challenges and interviews. Enroll now to enhance your coding skills and open up new career opportunities in the ever-expanding Python ecosystem!
Python programming bible course is divided into 8 modules that covers the python programming with theory and practical examples. This is lectures series of python programming from beginner to advanced topics. Jupyter files and PPT files used in this lecture have been uploaded. In addition to theory and handson, 230+ assignment and interview question with answers will prepare student for any interview.Following are the module in the course:- Python Introduction & History- Installation & Program Execution- Python Data Types and processing - Python Statement- Python Function- Python Module and Module Package- Class and OOPs concepts- Exception handlingPython Introduction & History The course starts with basic python introduction and history of python. It also answers basic question on why we should learn python when there are so many programming languages available in the market. It also delves into what can be done in python and what are the areas where python does not score very well.Installation and Program ExecutionThis module covers details about the python installation using anaconda package and steps of python program execution. The python programmer will be able to write their first "hello world" program in python using Jupyter editor and Python shell.Python Data Types and processing This covers python built-in object types like Numbers- integer, float, complex number, String etc. It also covers details on list, tuple, dictionary, set and file operations that can be done in python. Dynamic typing concept is investigated here that is fundamentally different from other programming language.Python StatementThis module covers basic IF, WHILE and FOR loop that is at the heart of python compound statement. We will also go through print, range, zip, enumerate function that is provided by python for looping operations.Iteration and Comprehension is also covered here to traverse the container object in faster and efficient way.Python FunctionPython function is natural progression after the study of python statement. In this module we will go through the details of various function, nested function and various types of variables like global, local and non-local. We will also go through the details about a function that takes one or multiple input and how it returns one and multiple outputs. We will also go through the advance concept like lambda function, map, filter & reduce concepts and generator & extended generator concepts. Python Module and Module PackageThis module explains module coding and module package. It covers the concept about how and when to use IMPORT, FROM and RELOAD commands.Python Class and OOPsThis module starts with basic introduction of Class and object oriented programming in python. It also includes concept of inheritance, abstract class and operator overloading with theory and practical examples.Python Exception handlingThis is last module of this course that covers the concepts of exception handling framework in python. We will go through the usage of TRY, EXCEPT, ELSE, FINALLY, RAISE and ASSERT examples. We will also see how to use nested exception handling and how and why to use class hierarchy in exception handling.