Data Science

  2nd week of Python course to learn data structures, functions, and arguments: Day 1 Introduction to Python Data types Variables Operators Conditional statements Loops Day 2 Functions Arguments Scope Return statements Exception handling Day 3 Data structures Lists Tuples Sets Dictionaries Day 4 Modules Packages Importing modules Exporting functions Day 5 Object-oriented programming Classes Instances Methods Encapsulation Abstraction Day 6 Testing Unit testing Integration testing System testing Day 7 Project Create a project that uses the concepts you have learned throughout the course. This is just a possible course outline. You may need to adjust it depending on your own learning style and goals. However, this should give you a good starting point for learning Python. Here are some additional resources that you may find helpful: Python Tutorial - This is a great resource for learning the basics of Python. Data Structures and Algorithms in Python - This book provides a ...

  In Python, arguments are values that are passed to functions, methods, or classes when they are called. Arguments can be used to provide additional information to the function, method, or class, or to change the way that it behaves. There are two types of arguments in Python: positional arguments and keyword arguments. Positional arguments are arguments that are passed to a function, method, or class in the order that they are defined. For example, the following function takes two positional arguments: Python def my_function ( arg1, arg2 ): print(arg1, arg2) To call this function, you would pass two arguments, in the order that they are defined: Python my_function( 1 , 2 ) Keyword arguments are arguments that are passed to a function, method, or class using the  keyword  keyword. Keyword arguments can be passed in any order, and they do not need to be defined in the same order as they are defined in the function, method, or class. For example, the followin...

  Object-oriented programming (OOP) is a programming paradigm that uses objects and classes to organize code. It is one of the most popular programming paradigms in use today. In Python, objects are instances of classes. Classes are blueprints for objects, and they define the object's properties and behaviors. Properties are data that is associated with an object. Behaviors are functions that are associated with an object. Here is an example of a class in Python: Python class Car : def __init__ ( self, make, model, year ): self.make = make self.model = model self.year = year def drive ( self ): print( "The car is driving." ) def stop ( self ): print( "The car is stopping." ) def honk ( self ): print( "The car is honking its horn." ) This class defines a car object. The car object has three properties: make, model, and year. It also has three behaviors: drive, stop, and honk. T...

A detailed 1-day plan to learn about variables and data types in Python: Morning Learn about variables. A variable is a named location in memory that can be used to store data. Variables can be used to store any type of data, including numbers, strings, lists, and dictionaries. Create a program that prints the value of a variable. In this program, you will create a variable called  my_name  and store your name in it. Then, you will print the value of the variable to the console. Create a program that converts a number from one data type to another. In this program, you will create a variable called  my_number  and store the number 10 in it. Then, you will convert the number to a string and print the value of the string to the console. Afternoon Learn about data types. There are many different data types in Python, including numbers, strings, lists, and dictionaries. Each data type has its own unique properties. Create a program that uses differen...

 8-week advanced Python learning plan for data scientists Week 1 Learn the basics of Python, including variables, data types, operators, control flow, functions, and modules. Practice writing Python code by completing exercises and working on projects. Week 2 Learn about data structures in Python, such as lists, dictionaries, and sets. Learn about functions in Python, including how to define and use user-defined functions. Practice writing Python code that uses data structures and functions. Week 3 Learn about object-oriented programming in Python. Learn about classes, objects, and inheritance in Python. Practice writing Python code that uses object-oriented programming. Week 4 Learn about the NumPy library in Python. Learn about arrays, matrices, and linear algebra in Python. Practice writing Python code that uses the NumPy library. Week 5 Learn about the Pandas library in Python. Learn about dataframes, data wrangling, and data analysis in Python. Practice writing Python code tha...

D etailed 1-week plan to learn the basics of Python, including variables, data types, operators, control flow, functions, and modules: Day 1 Learn about variables and data types. Create a program that prints the value of a variable. Create a program that converts a number from one data type to another. Day 2 Learn about operators. Create a program that performs mathematical operations on numbers. Create a program that compares two values. Day 3 Learn about control flow. Create a program that uses if statements to make decisions. Create a program that uses loops to repeat code. Day 4 Learn about functions. Create a function that takes in a number and returns the square of that number. Create a function that takes in two numbers and returns the sum of those numbers. Day 5 Learn about modules. Import a module that contains a function that you want to use. Use the function from the module in your own program. Day 6 Practice what you have learned by creating your own programs. Find a coding...

In Python, a function is a block of code that is given a name and can be called repeatedly. Functions can take in input values, called parameters, and return output values. When you define a function, you can specify the parameters that the function takes in. The parameters are listed in the function definition, after the function name and before the colon (:). For example, the following function definition defines a function called add that takes in two parameters, x and y : Code snippet def add(x, y): return x + y When you call a function, you pass in the values for the parameters. The values are separated by commas and are placed inside the parentheses after the function name. For example, the following code calls the add function and passes in the values 1 and 2: Code snippet result = add(1, 2) The value returned by the function is stored in the variable result . You can then use the value of result in other parts of your code. Parameters are declared in the function defini...