Academia de Reconversie Python Developer

Lesson 1 – Introduction 

1. What is a program? What’s the purpose of programming? What can we do with python?
2. What is an IDE? How they make programmers’ life easier. (A lot of useful shortcuts will be presented along the course).
3. IDE setup for Python

4. Our first program in python run from the IDE 

5. Python as a compiled and interpreted language (command line reproduction of the steps our IDE did for us in order to run the showed program)
6. Variables. What is a variable?
7. Literals: Integer, Floating Point, Boolean, Character and String
8. Python Shell
9. Operators (What is an operator, an expression in programming L1S9 Operators1.mkv)
10. Casting in Python
11. String concatenation
12. Ternary if-else operator
13. Controlling execution (decision instructions, iteration loops, break and continue statements)
14. Examples & exercises

 

Lesson 2 – Lists and strings 

1. What are they?
2. List length, indexing and slicing
3. List update
4. Delete list items
5. List concatenation
6. Nested lists, multidimensional arrays
7. Built-in List Functions
8. Lists comprehensions
9. Manipulating strings (substring, comparing strings)
10. Splitting and joining strings
11. String formatting, f-Strings
12. Examples and exercises

 

Lesson 3 – Functions 

1. What is a function and what is its general purpose
2. Writing functions guidelines
3. Positional and keyword arguments, default values
4. Python keywords. 
5. Variable lifecycle explained
6. Global and nonlocal in nested functions
7. Passing primitive variables to functions
8. Functions with a variable number of arguments
9. Passing arguments by assignment
10. Examples and exercises

 

Lesson 4 – Code management 

1. Formatting code and linting
2. Version control
3. Git setup
4. Git workflow, track changes in local repository
5. Visual Studio Code source control (git) interface
6. Github, push your first code into Github
7. Comments – Write inline comments
8. Comments – Write documentation comments
9. Modules and packages – Modules
10. Modules and packages – Packages
11. Run a python program – debugging mode
12. Run a python program – with special arguments
13. Examples and exercises

 

Lesson 5 – Introduction to OOP 

1. What is OOP, OOP vs Procedural
2. What is a class
3. What is an object
4. Constructor, self keyword
5. Polymorphism
6. Declaring and initializing a class instance
7. Memory allocation and the garbage collector
8. Instance variables vs static variables
9. Instance methods vs static methods
10. Access modifiers
11. Examples and exercises

 

Lesson 6 – Inheritance, abstract classes, interfaces 

1. Inheritance explained
2. Overriding methods
3. Super keyword
4. Protected explained
5. Private explained
6. Abstract classes
7. Interfaces
8. Interfaces vs abstract classes
9. Property decorators, setter
10. Abstract property
11. Class methods
12. Magic methods
13. Examples and Exercises

 

Lesson 7 – Generators, Tuples, Collections, Set, Dictionaries 

1. What is a generator
2. What is a tuple
3. What is a set
4. What is a dictionary
5. Set and dictionaries comprehensions
6. Examples & Exercises

 

Lesson 8 – Enums, Exception Handling 

1. Enum class explained
2. Exceptions hierarchy
3. Try-except-else-finally explained
4. Raising exceptions (raise command)
5. Treated exceptions locally or delegating them
6. Defining our own exceptions
7. Examples & Exercises

 

Lesson 9 – File Handling, Serialization 

1. Python file handling
2. Read files
3. Write/Create files
4. Delete Files
5. Flat vs. Nested data
6. JSON file
7. YAML
8. XML
9. Binary
10. Pickle
11. Examples & Exercises

 

Lesson 10 – Map, Filter, Reduce, NumPy 

1. What is Map
2. What is Filter
3. What is Reduce
4. What is NumPy
5. NumPy usability in math operations
6. How python is used in data science
7. Python-specific data science libraries
8. Examples & Exercises

 

Lesson 11 – PIP, Python database connectivity 

1. What is PIP
2. Setting up a connection to SQL Server from Python
3. Calling SQL code from Python
4. Closing python connection to SQL Server
5. Reading results from SQL queries into objects
6. Examples & Exercises

 

Lesson 12 – Web Frameworks 

1. MVC in Python
2. What is Flask
3. What is Django
4. Introduction into Django
5. Examples and Exercises

 

Lesson 13 – Unit testing & Clean Code 

1. Clean Code

1.1. Why is Clean Code Important 

1.2. General code writing guidelines 

1.3. DRY Principle 

1.4. KISS principle 

1.5. Yagni Principle 

1.6. Unit Testing 

2. Unit testing

2.1. Unit tests vs Integration Tests 

2.2. unittest package 

2.3. mockito in python 

3. Examples & Exercises

 

Lesson 14 – Project 

1. Preparing a project
2. Consulting and Checking the Project
3. Project finishing up and presentation