Category: Python
Naveen PandeyNumPy for Data Science – Part 3
Arithmetic Operations in NumPy Arrays In NumPy there are multiple functions which we can use to perform the arithmetic operation, we will be looking them one by one. The add() function can also be used to perform the same operation. The subtract() function can also be used to perform the same operation. The multiply() function…
Read MoreNumPy for Data Science – Part 2
Create NumPy Arrays with Random Numbers Data Types in NumPy Arrays Shape and Reshaping In NumPy Arrays Shape of an Array The shape of an array is the number of elements in each dimension. Get the Shape of an Array NumPy arrays have an attribute called shape that returns a tuple with each index having the number…
Read MoreNumPy for Data Science – Part 1
What is NumPy Array? An array is a grid of values and it contains information about the raw data, how to locate an element, and how to interpret an element. Numpy vs Python List Advantages of using NumPy Arrays over Python List: Let’s look at the example of NumPy Array and Python List. Importance of…
Read MoreDifference between Pandas .at and .iat Function
.at The .at and .iat index accessors are analogous to .loc and .iloc. The difference being that they will return a numpy.ndarray when pulling out a duplicate value, whereas .loc and .iloc return a Series: .iat .iat is similar to [] indexing. Because it tries to support both positional and label based indexing, I advise…
Read MoreTop 10 Pandas Functions
1 – To Read CSV and Excel files. These Functions will be used in almost every Project, They are used to read a CSV or an excel file to pandas DataFrame format. 2 – Columns Function. When we have a big dataset with many columns it will be difficult to see all columns, hence we…
Read MoreDifference between Pandas .iloc and .loc function
The optimized data access methods are accessed by indexing off of the .loc and .iloc attributes. These two attributes allow label-based and position-based indexing respectively. When we perform an index operation on the .iloc attribute, it does lookup based on index position (in this case pandas behaves similar to a Python list). DataFrame operation: .loc…
Read MoreDefault argument and Ternary operators in Python
The objects like list, dict are mutable. A mutable object can change its state or contents, so whenever we use these types of mutable objects as default argument in Python functions, and execute or call the function multiple times it gives unnecessary output for each function call. The example shown below is to return the…
Read MoreDifference between List and Tuple in Python
Lists and Tuple store one or more objects or values in a specific order. The objects stored in a list or tuple can be of any type including the nothing type defined by the None Keyword. Syntax Differences Syntax of list and tuple is slightly different. List are surrounded by square brackets [] and Tuples…
Read MorePython List Methods
The Python List is a general data structure widely used in Python programs. They are both mutable and can be indexed and sliced. List methods 1 – append(value) Append a new element to the end of the list. 2 – extend(value) Extends the list by appending elements from another enumerable. 3 – index(value) Gets the…
Read MoreArrays Functions and Functional Programming in Python
This post is dedicated to some of the commonly used numpy function to do with arrays in python. 1 – Remove Duplicate from arrays using numpy 2 – Concatenate two arrays using numpy 3 – Get product of one/two arrays using numpy 4 – Basic maths function of Numpy Functional Programming Functional programming is a…
Read MoreArray Methods in Python
Arrays are used to store multiple values in one single variable. Array can be handled in Python by a module named array. Type codes for different data types: These codes are used while creating an array. 1 – Creating an Array Array(data_type, value_list) 2 – Adding Element to Array Insert() is used to insert one…
Read MoreEnd to End Project Laptop Price Prediction using Machine Learning
Machine learning relies on AI to predict the future based on past data. If you’re a data science enthusiast or practitioner, this article will help you build your own end-to-end machine learning project from scratch. In order for a machine-learning project to be successful, there are several steps that should be followed. These steps vary…
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