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via Udemy |
Go to Course: https://www.udemy.com/course/python-made-easy-for-beginners/
Certainly! Here is a comprehensive review and recommendation for the "Python Made Easy for Beginners" course on Coursera: --- **Course Review: Python Made Easy for Beginners on Coursera** **Overview:** "Python Made Easy for Beginners" is an extensive and well-structured course designed to introduce newcomers to Python programming. Covering a broad range of foundational topics, this course aims to provide learners with the skills necessary to write, understand, and troubleshoot Python code effectively. **Content Quality:** The course meticulously covers essential programming concepts, starting from the basics like downloading and installing Python, setting up IDEs like PyCharm, and understanding core concepts such as variables, data types, and operators. It advances into control flow, functions, object-oriented programming, and exception handling, making it suitable for absolute beginners as well as those with some prior coding experience. One of the strengths of this course is its emphasis on practical application. It includes detailed lessons on file handling, collections (lists, tuples, sets, dictionaries), and modules/packages, which are crucial for real-world programming. The section on Python-specific features like lambda functions, *args, **kwargs, and advanced topics such as inheritance, polymorphism, and encapsulation provide learners with a comprehensive understanding of object-oriented programming in Python. Furthermore, the inclusion of topics like regular expressions, date and time, and generating random numbers ensures learners are equipped with versatile tools for various programming tasks. **Teaching Style & Approach:** The course adopts a beginner-friendly approach with clear explanations, practical coding exercises, and real-world examples. The step-by-step instructions for downloading and configuring Python and PyCharm ensure learners can set up their environment efficiently. The course balances theory with hands-on practice, enabling learners to immediately apply what they’ve learned. **Who Should Enroll:** This course is ideal for absolute beginners, aspiring programmers, or those transitioning from other languages who want to solidify their Python skills. Its comprehensive scope makes it an excellent foundational course, whether for academic purposes, personal projects, or professional growth. **Pros:** - Extensive coverage of Python topics - Clear, beginner-friendly explanations - Practical exercises and examples - Covers both fundamental and advanced concepts - Good balance of theory and practice **Cons:** - Due to the breadth of topics, some sections might feel rushed for complete beginners. - Advanced topics like inheritance and encapsulation might require additional practice or supplementary resources for mastery. --- **Recommendation:** If you are looking for an all-encompassing Python course that takes you from the very basics to more advanced topics, "Python Made Easy for Beginners" on Coursera is highly recommended. It provides a solid foundation, practical knowledge, and the confidence to write Python programs independently. Whether you're a student, a professional looking to expand your skill set, or a hobbyist, this course will serve as a valuable starting point and ongoing reference. --- **Conclusion:** Overall, this course is an excellent choice for beginners eager to learn Python comprehensively. Its thorough curriculum, combined with practical exercises, makes it a worthwhile investment for anyone serious about mastering Python programming. --- **Get started today and unlock the power of Python programming with this beginner-friendly course!**
This Python Made Easy for Beginners course covers the below topics:Introduction to PythonDownloading, Installing and Configuring PythonDownloading, Installing and Using PyCharm IDEPrint StatementsVariablesData Types Type CastingOperatorsCommentsOperator PrecedenceDeleting a VariableUsing + for String concatenationStoring Multi-line preformatted String text into a variableStoring a lengthy text into a variableFormatting Print StatementsControl Flow StatementsSelect/Decision Control Statementswhile loop for loop with range()break and continue statementsFunctions - Getting StartedFunctions can be called multiple timesParameterizing FunctionsDefault Arguments in FunctionsFunction with multiple parametersFunctions can return dataPurpose of FunctionsMultiple functions can be createdUsing input() inbuilt functionmax() and min() functionsLocal and Global Variablespass StatementCollectionsListTupleSetDictionaryList versus Tuple versus Set versus DictionaryStringsin and not in operatorsFile HandlingGetting started with Object Oriented Programmingself in PythonAssigning method parameters to class variables using self keywordInitializing Class variables using methods in Python__init__ methodStatic Variables, Static Methods, Instance Variables and Instance MethodsInheritanceTypes of InheritancePolymorphism - Method OverridingOverloading is not supported by Pythonsuper()Private variables and Private methodsUsing Getter and Setter Methods with private variablesEncapsulation in PythonAbstraction in PythonModules PackagesException Handling Lambda FunctionsUsing *argsUsing **kwargsUnpacking Collections or range() into individual variablesComplex Data Type range Data Type Complete List of Data Types Generating Random NumbersEscape CharactersUsing bool() functionShort Hand if and if..else statementsUsing iter() function with List, Tuple, Set and DictionaryDate and Time Regular Expressions