Python — Full Course Syllabus

An in-depth exploration of Python programming tailored for backend developers.

1. 1. SetsA set is an unordered collection of unique items.
2. 2. Data TypesData types specify the type of value a variable can hold, such as integers, floats, and strings.
3. 3. ListsA list is a mutable, ordered collection of items in Python.
4. 4. TuplesA tuple is an immutable, ordered collection of items in Python.
5. 5. DictionariesA dictionary is a mutable, unordered collection of key-value pairs.
6. 6. Conditional StatementsConditional statements allow you to execute code based on certain conditions.
7. 7. For LoopsA for loop is used to iterate over a sequence (like a list or string).
8. 8. While LoopsA while loop repeatedly executes a block of code as long as a condition is true.
9. 9. FunctionsA function is a block of reusable code that performs a specific task.
10. 10. Function ArgumentsFunction arguments are the values you pass into a function when you call it.
11. 11. Return StatementThe return statement is used to exit a function and return a value.
12. 12. VariablesA variable is a way to store information in your program.
13. 13. Using Standard LibraryExplore the built-in modules available in Python's standard library.
14. 14. Installing External LibrariesLearn how to install third-party libraries using pip.
15. 15. Documentation for LibrariesExplore how to read and use documentation for Python libraries effectively.
16. 16. Assert StatementsA way to test if a condition in your code returns True, raising an AssertionError if it does not.
17. 17. Assertion ErrorsErrors raised when an assert statement fails, indicating a test did not pass.
18. 18. ObjectsAn object is an instance of a class that encapsulates data and behavior.
19. 19. AttributesAttributes are variables that belong to a class and hold data.
20. 20. MethodsMethods are functions defined within a class that operate on its attributes.
21. 21. ConstructorA constructor is a special method called when an object is instantiated.
22. 22. Opening FilesLearn how to open files in Python using the open() function.
23. 23. Reading FilesUnderstand how to read data from files using read(), readline(), and readlines().
24. 24. Writing to FilesExplore how to write data to files using write() and writelines().
25. 25. Closing FilesLearn the importance of closing files and how to do it using close().
26. 26. File ModesUnderstand different file modes (read, write, append) when opening files.
27. 27. Heroku DeploymentDeploying Python applications to Heroku platform.
28. 28. Flask DeploymentSpecific strategies for deploying Flask web applications.
29. 29. Static File HostingHosting static files for Python applications using services like AWS S3.
30. 30. Dictionary ComprehensionsDictionary comprehensions offer a concise way to create dictionaries from iterable data.
31. 31. Type HintingType hinting allows for optional type annotations to improve code readability and maintainability.
32. 32. Unit Testing with unittestThe unittest module provides a framework for writing and running tests in Python.
33. 33. Exception HandlingException handling allows you to manage errors in your code using try and except blocks.
34. 34. File I/OFile I/O refers to the operations of reading from and writing to files.
35. 35. ModulesModules are files containing Python code that can define functions, classes, and variables.
36. 36. InheritanceInheritance allows a class to inherit attributes and methods from another class.
37. 37. Using Requirements.txtUnderstand how to create and use a requirements.txt file for managing dependencies.
38. 38. Using __init__.pyLearn the purpose of the __init__.py file in a Python package.
39. 39. Exploring Third-Party LibrariesLearn how to find and explore third-party libraries available for Python.
40. 40. Using PackagesLearn how to organize modules into packages for better structure.
41. 41. Working with DirectoriesUnderstand how to create, remove, and list directories using the os module.
42. 42. ClassesA class is a blueprint for creating objects that encapsulate data and functionality.
43. 43. Using Virtual EnvironmentsUnderstand the importance of virtual environments for managing library dependencies.
44. 44. pytest frameworkA powerful testing framework for Python that simplifies the testing process.
45. 45. Mocking in TestsCreating mock objects to simulate the behavior of real objects in tests.
46. 46. Test DiscoveryThe process of automatically finding and running tests in a project.
47. 47. Coverage MeasurementA technique to measure how much of your code is covered by tests.
48. 48. Debugging with pdbUsing the Python Debugger (pdb) to step through code and inspect variables.
49. 49. DestructorA destructor is a special method called when an object is about to be destroyed.
50. 50. Static MethodsStatic methods belong to the class rather than any object instance.
51. 51. Using 'with' StatementDiscover how to use the 'with' statement for file handling to ensure proper resource management.
52. 52. File ExceptionsLearn how to handle exceptions related to file operations using try-except blocks.
53. 53. JSON File HandlingExplore how to read from and write to JSON files using the json module.
54. 54. EncapsulationEncapsulation restricts access to certain attributes and methods to protect the integrity of an object.
55. 55. CSV File HandlingLearn how to read from and write to CSV files using the csv module.
56. 56. PolymorphismPolymorphism allows methods to do different things based on the object it is acting upon.
57. 57. File Path ManipulationExplore how to manipulate file paths using the os.path module.
58. 58. File MetadataLearn how to retrieve file metadata such as size and modification date using os.stat().
59. 59. Asynchronous ProgrammingA programming paradigm that allows for non-blocking operations, improving application responsiveness.
60. 60. AWS Elastic BeanstalkDeploying Python applications using AWS Elastic Beanstalk service.
61. 61. Django DeploymentSpecific strategies for deploying Django web applications.
62. 62. Scaling Python ApplicationsTechniques for scaling Python applications in production environments.
63. 63. Serverless DeploymentDeploying Python applications using serverless architectures like AWS Lambda.
64. 64. AsyncioAsyncio is a library to write concurrent code using the async/await syntax.
65. 65. MetaclassesMetaclasses are classes of classes that define how classes behave.
66. 66. GeneratorsGenerators are a type of iterable, like a list, but they do not store their contents in memory.
67. 67. DecoratorsDecorators are a way to modify the behavior of a function or method.
68. 68. Data Persistence with SQLiteLearn how to use SQLite for data persistence in Python applications.
69. 69. Context ManagersContext managers allow you to allocate and release resources precisely when you want to.
70. 70. MixinsMixins are a sort of class that provides methods to other classes through inheritance.
71. 71. InterfacesInterfaces define methods that must be created within any child classes built from the interface.
72. 72. File CompressionLearn how to compress and decompress files using the zipfile module.