Python is a high-level programming language. Python is very popular and is used almost in every field. If you’re an aspiring web developer or data scientist, Python should be near the top of your list of programming languages to learn. It’s easy to use, fast, and powerful; there are libraries available for just about any purpose you can think of, and it’s extremely flexible when it comes to working with data structures. If you want to learn how to program, Python can be one of the best choices you can make. This introductory guide will help get you started on the path to becoming a Python developer. I highly recommend you get the “**Python Crash Course Book**” to learn Python.

## Python Tutorial

**Python Introduction****Python Operators****Python Data Types****Python Tuple****Python List****List Methods****if statement****if else statement****For Loop****While Loop****Python Function****Check Python version****Check Data Type in Python****Python Comments**

## Pandas Tutorial

**How to install Pandas in Python****How to import Pandas in Python****How to check Pandas Version****How to create Series in Pandas****How to create a DataFrame in Pandas****How to create an empty Pickle file in Python****How to make a Pickle file in Python****How to rename columns in Pandas****How to set index in Pandas****How to reset index in Pandas****How to rename index in Pandas****How to append two DataFrames in Pandas****How to append column in Pandas DataFrame****How to add header in Pandas DataFrame****How to add a row in Pandas DataFrame****How to Sort Pandas DataFrame****How to sort a column alphabetically in Pandas****How to drop duplicates in Pandas****How to drop a column in Pandas****How to read the CSV file in Python****How to read the excel file in Python****How to read JSON file in Python****How to read pickle file in Python****How to read the text file in Python****How to read TSV file in Python****How to read parquet file in Python****How to read HTML the file in Python****How to read a particular column from a CSV file****How to read the XML file in Python****How to read the only header of a CSV file****How to read multiple columns from a CSV file****How to read xls file in Python****How to read xlsm file in Python****How to read a copied text from a clipboard****How to read xlsx file in Python****How to read a particular column from an excel file****How to read the header of an excel file****How to read columns from an excel file****How to save Pandas DataFrame****How to save Pandas DataFrame as Excel File****How to save Pandas DataFrame as CSV File****How to save Pandas DataFrame as Pickle****How to save Pandas DataFrame as JSON File****How to save Pandas DataFrame as Text File****How to save Pandas DataFrame as an Image****How to save Pandas DataFrame as Parquet****How to save Pandas DataFrame as PDF****How to save Pandas DataFrame as XML****How to install pandas in Jupyter Notebook****How to check Pandas version in Jupyter Notebook****How to install Pandas in PyCharm****How to import Pandas in PyCharm****How to install Pandas on Mac****How to remove a column in Pandas**

## NumPy Tutorial

**How to install NumPy in Jupyter Notebook****How to install a specific version of NumPy using pip****How to create an empty array in NumPy****How to create an array in NumPy****How to create a 2d array in NumPy****How to create a matrix in NumPy****How to create a random array in NumPy****How to create a vector in NumPy****How to create an array with the same value****How to find mean****How to find median****How to find the standard deviation****How to find a variance****How to find the mode****How to find the transpose of a matrix****How to find the inverse of a matrix****How to find eigenvalues and eigenvectors using NumPy****How to find the interquartile range****How to calculate Euclidean distance****How to find the average in NumPy****How to absolute in NumPy****How to do matrix multiplication in NumPy****How to do element-wise multiplication in NumPy****How to calculate magnitude of a vector in NumPy****How to count values in NumPy array****How to count unique values in NumPy array****How to count occurrences of elements in an array****How to append in NumPy array****How to add a column in the NumPy array****How to add a row in NumPy array****How to append two arrays in NumPy****How to drop nan in NumPy array****How to drop a column in NumPy array****How to delete element in NumPy array****How to remove zeros from NumPy array****How to remove an element from a NumPy array****How to remove the last element from the NumPy array****How to remove nan values from NumPy array****How to remove duplicates from the NumPy array****How to remove a column from the NumPy array****How to convert list to NumPy array****How to convert Pandas DataFrame to NumPy array****How to convert PIL image to NumPy array****How to convert the list of list to NumPy array****How to convert NumPy array from float to int****How to print the full NumPy array without truncation****How to write NumPy array to CSV file****How to get indices of n maximum values in a NumPy array****How to get dimension of NumPy array****How to check the shape of the NumPy array****NumPy reshape -1 meaning****Find unique rows in NumPy.array****How to access columns in NumPy array****How to concatenate two arrays in NumPy****How to check two NumPy arrays are equal****Difference between NumPy SciPy and Pandas****How to generate random numbers with precision in NumPy array****No module named NumPy | Error Resolved****How to reverse an array****How to find mean median and mode****How to find standard deviation and variance****How to find the NumPy version****How to find NumPy array size****How to find the NumPy path****How to find NaN in NumPy array****How to install NumPy in Python using Anaconda****How to install NumPy using pip in windows****How to install NumPy in Python using a command prompt****How to uninstall NumPy using pip windows****How to uninstall NumPy using Conda****How to update NumPy using Conda****How to update NumPy using pip****How to count the number of zeros in NumPy array****How to find the index of element in NumPy array****What are the advantages of NumPy over Python list****How to sort NumPy array by column****How to round values using NumPy****How to convert a list in NumPy array****How to read CSV in NumPy****How to reshape in NumPy****How to sort an array****How to reverse an array in NumPy****How to concatenate arrays in NumPy**

## Matplotlib Tutorial

**How to install Matplotlib in Jupyter Notebook****How to check Matplotlib Version****How to plot in Matplotlib****How to plot histogram in Matplotlib****How to plot a bar graph in Matplotlib****How to plot a line graph in Matplotlib****How to plot multiple lines in Matplotlib****How to plot a single point in Matplotlib****How to plot a circle in Matplotlib****How to plot a function in Matplotlib****How to add a legend in Matplotlib****How to set figure size in Matplotlib****How to label axis in Matplotlib****How to add title in Matplotlib****How to save figure in Matplotlib****How to add text in Matplotlib****How to add grid in Matplotlib****How to add a horizontal line in Matplotlib****How to add a vertical line in Matplotlib****How to add a text box in Matplotlib****How to bold axis labels in Matplotlib****How to bold title in Matplotlib****How to change background color in Matplotlib****How to change the font size in Matplotlib****How to read image in Python using Matplotlib****How to display an image in Python using Matplotlib****How to change legend size in Matplotlib****How to move legend outside plot in Matplotlib**