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A Practical Approach to Learn Python Programming
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A Practical Guide to Coding with Python
This Python course is intended for a beginner audience and provides a comprehensive summary of the Python Programming language key concepts. we begin by setting up our programming environment using the popular Anaconda and Jupyter Notebook and provide a quick rundown of the tools we need to begin coding. Subsequent Chapters and broken down by topic. By the end of this course, the potential student would have gained enough experience to approach more advanced-intermediate Python projects. Section 1 Setup & ToolsLearning Objectives1. Setup and Tools2. Anaconda Setup3. Installing Python4. Installing Jupyter Notebook5. Section SummarySection 2 Jupyter Notebook Overview and Python TipsLearning Objectives1. Section Intro2. Jupyter Notebook Section Overview3. Jupyter Notebook Interface Tour4. Saving and Loading Jupyter Notebook files5. Python Documentation and Learning Tips6. Getting Help7. Jupyter Notebook comments and Markdowns8. Converting Jupyter notebook files to HTML, PDFSection 3 Python Variables and Data-typesLearning Objectives1. Using python as a calculator2. Python Variables and Data-types3. Introduction to Python Variables and data-types4. Python Variables and data-types part 25. Output Formatting6. Using Format Specifiers7. Python Variable naming rules8. Converting to other datatypes using python9. Section Optional Exercise/SolutionsSection 4 FunctionsLearning Objectives1. Creating Functions in Python2. Function to Calculate Average3. Section Optional Exercise/SolutionsSection 5 ListsLearning Objectives1. Understanding Python lists2. Working with lists and list methods3. Section Optional Exercise/SolutionsSection 6 Python DictionariesLearning Objectives1. Review on Markdown cells2. Dictionaries Section Intro3. Python Dictionaries4. Example using Python Dictionaries5. Section Optional Exercise/SolutionsSection 7 ModulesLearning Objectives1. Section Into2. Modules visual Intro3. Exploring Modules4. Examples using python modules5. Running a module from the command line6. Exporting and downloading. py files7. Running a python script from the command line8. Section Optional Exercise/SolutionsSection 8 Program Logic and Flow ControlLearning Objectives1. Logic2. Using the comparison operators3. Example using comparison operators4. Using comparison operators Example 25. Conditional and flow control statements6. Example using conditional and flow control statements7. Conditional and flow control statements example 28. Section Optional Exercise/SolutionsSection 9 LoopsLearning Objectives1. Loops section intro2. Python loops3. While loop4. For loop5. Section Optional Exercise/SolutionsSection 10 Exceptions and Exception HandlingLearning Objectives1. section intro2. Python Exceptions and Exception Handling3. Exception Handling Examples4. Section Optional Exercise/SolutionsSection 11 Working with Files in PythonLearning Objectives1. section intro2. Understanding File Structure3. Files and File paths4. Files and File path part 25. Using the os module6. Using the os module part 27. Fixing an Error8. Section Optional Exercise/SolutionsSection 12 Reading and Writing DataLearning Objectives1. Reading and writing files in python2. Writing data to files3. Working with csv files4. Reading data from a csv file5. Writing data to a csv file6. Writing data to a csv file using writelines and lists7. Section Optional Exercise/SolutionsSection 13 Object Oriented Programming with PythonLearning Objectives1. Section Intro2. Introduction to Objects and classes3. Creating a class in Python4. Understanding the init () method5. Intro to Method Overloading6. Method Overloading Example7. Method Overloading using *args8. Python Method Overriding9. Using pythons Super() keyword10. Section Optional Exercise/Solutions
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