How to use password with special character in mount command linux ?

I faced a problem while using mount command with a password containing special characters. The error that I got was “permission denied”. On analyzing the root cause, I figured out that because of the special character, the authentication failed.

The syntax of the mount command is given below.

> mount -t cifs -o username= ,password=[password] [windows-share-dir-path] [dir-in-linux]

Here my password was something like below. It has so many special characters.

> i2_Gw$wF?Xs4zq??K


The solution is simple. Create a text file and enter the credentials into that file.

I have created a file with the name credentials.ini


Now save this file and use this credentials file in the mount command. The syntax is given below.

mount -t cifs -o credentials=credentials.ini [windows-share-dir-path] [dir-in-linux]


Now execute this command and your problem will be solved. !!!!

How to convert or change the data type of columns in Pandas dataframe ?

Changing the datatype of columns in pandas dataframe is very easy. Here I am using stype() function to perform the typecase operation.  Refer to the following example. The type conversion is happening in the line number 10 of the code.


You can add as many columns as you want to convert the data type or typecast. For example if you want to typecast the columns emp_id and salary, use the following syntax.

> df = df.astype({‘salary’:‘int’, ’emp_id’:’int’})


rpm: /usr/bin/rpmspec: No such file or directory – CentOS RHEL

I have faced an issue while building an rpm in a CentOS machine. The error was rpm: /usr/bin/rpmspec: No such file or directory. To fix this issue we need to install the following package and re-run the build.

For CentOS 7 or RHEL 7 users

> sudo yum install rpm-build

For CentOS 8 or RHEL 8 users

> sudo dnf install rpm-build


How to install Python in CentOS 8 / RHEL 8 ?

Python is not available by default in CentOS 8 / RHEL 8. Read the following blog post to install Python and pip in CentOS 8 / RHEL 8.

To Install Python 3 in CentOS 8 or RHEL 8

> sudo dnf install python3

CentOS 8 and RHEL 8 does not have an unversioned python by default. We have to explicitly set it. So simply typing python will give you a “command not found” response.  To verify the installation,  use the following command

> python3 -V

The above command will print the version information. For me it printed Python 3.6.8

To install pip, execute the following command

> sudo dnf install python3-pip

Check the installation

> pip3 –version

If you simply type the command python in the shell, it will give you a response something like below

bash: python: command not found…

To enable the command python, execute the following command.

> sudo alternatives –set python /usr/bin/python3

This will enable command python. Now you can use python without explicitly typing the version.

Note: Follow the below steps only if you need Python 2. If your requirement if Python3, refer the steps described above.


To Install Python 2 in CentOS 8 or RHEL 8

> sudo dnf install python2

To install pip, execute the following command

> sudo dnf install python2-pip

Now check the installation

> pip2 –version

To set python2 as the default python across the system, execute the following command.

> sudo alternatives –set python /usr/bin/python2


In previous versions of CentOS  and RHEL , there were so much dependency in the system with the unversioned python. Installing Python 3 and Python 2 together creates so much mess in the system. Now in CentOS 8 and RHEL 8, it is very easy.

Hope this blog helps. Please comment below if you face any issues. 🙂



How to alter or modify the primary key in a mysql table ?

If we have to alter or modify the primary key of a table in an existing mysql table, the following steps will help you.

For a table without primary key

For single primary key

ALTER TABLE table_name ADD PRIMARY KEY(your_primary_key);

For composite primary key

ALTER TABLE table_name ADD PRIMARY KEY(key1, key2, key3);


For a table with already existing primary key

For single primary key


For composite primary key

ALTER TABLE table_name DROP PRIMARY KEY, ADD PRIMARY KEY(key1, key2, key2);


Hope this is helpful 🙂

Python program to check the internet speed or bandwidth

Monitoring the internet speed in an office or a data center is a very critical requirement. The following simple program can help you to monitor the internet speed of a network. This will check the upload speed and download speed available in the network.

Note: Do not run this test continuously in a network with limited data package. 

The following program checks the internet speed and stores it an sqlite database. The speed gets monitored every 15 minutes. In this way you will be able to track the speed of the network at various points of time. The program internally uses speedtest python package for determining the speed of the network. This can be extended by storing the data in a proper database.


Python program to find the timezone from latitude and longitude ( geo coordinates )

We all know that there are several timezones in the world. While developing applications that are used by the people across the world, we have to consider the users timezone. So depending upon their location, we have to display the parameters or values. I am sharing a simple python code snippet that finds the timezone based on the latitude and longitude.

This is a very simple program. There is a powerful package in python called timezoneinfo. We are using this package for finding the timezone information. This package works with python versions above 3.6. This is the optimal and quick way to find the timezone using geo coordinates.

The following command installs the package

pip install timezonefinder[numba]

Sample Program


This package works offline. That means you do not need to be connected to the internet to get this working. This covers the entire earth. In this way  we can find the timezone information with few lines of code. Hope this helps.

Bubble chart using Python

Bubble chart is one of the powerful and useful chart for representing data with three or four dimensions.

The position of the bubble is determined by the x & y axis values. These are the first two properties.

The size of the bubble can be controlled by the third property.

The colour of the bubble can be controlled by the fourth property.

A Sample program to create a bubble chart using the python library matplotlib is given below.

import matplotlib.pyplot as plot
import numpy as npy

# create some dummy data using numpy random function.
# Bubble charts are used to represent data with three or four dimensions.
# X axis can represent one property, Y can represent another property,
# The bubble size can represent another properly, the color of the bubble can represent another property.

x = npy.random.rand(50)
y = npy.random.rand(50)
z = npy.random.rand(50)
colors = npy.random.rand(50)
# use the scatter function
plot.scatter(x, y, s=z * 1000, c=colors)

Here we are generating some random data using numpy and plotting the bubble chart using matplotlib.

A sample output is given below.


Bubble Chart using Python


How to set url length in Nginx Request (error code: 414, uri too large)

Today I got one annoying error after deploying the new version of the web application in nginx web server. Initially I thought the web app was buggy, but when I inspected the requests and response, I found the following error.

error code: 414, uri too large

On checking more details around this, I found that this issue can be fixed by adjusting few configurations in nginx. The parameter to modify is large_client_header_buffers.

This parameter sets the maximum number and size of buffers used for reading large client request header. A request line cannot exceed the size of one buffer, or the 414 (Request-URI Too Large) error is returned to the client. A request header field cannot exceed the size of one buffer as well, or the 400 (Bad Request) error is returned to the client. Buffers are allocated only on demand. By default, the buffer size is equal to 8K bytes. If after the end of request processing a connection is transitioned into the keep-alive state, these buffers are released.

Syntax : large_client_header_buffers number size ;

The default value is 4 and the size is 8 KB. You can increase this value to a higher value to fix this issue.

large_client_header_buffers 16 128k;

If you are facing issues even after making these changes, then add the following configuration to the server block in nginx.

fastcgi_buffers 8 16k;
fastcgi_buffer_size 32k;

client_max_body_size 24M;
client_body_buffer_size 128k;

client_header_buffer_size 5120k;
large_client_header_buffers 16 5120k;


Hope this helps 🙂  Please comment if you are facing any issues.


How to enable Compression in Nginx

If you are using Nginx webserver, you have to try this out. I started exploring for this option when I faced slowness in rending the pages in one of the applications. When I checked the backend services, the web service API was given the responses quickly, but the page was taking more time to load. On further inspection, I figured out that the API was sending a a data of size 5 MB. So the browser will first download this data and this speed depends on the bandwidth.

I explored further and figured out the way of compressing API body using the webserver. This will speed up the API calls as the data transferred over the network will be very less. In my case, the 5 MB data became few KBs (size of compressed data). This will get extracted quickly in the browser and it gets rendered in the screen.

The required configurations are pasted below for quick reference.

Make the changes in the config file /etc/nginx/nginx.conf. Add the following content to the nginx.conf file.

gzip on;
gzip_vary on;
gzip_min_length 1024;
gzip_proxied expired no-cache no-store private auth;
gzip_types text/plain text/css text/xml text/javascript application/x-javascript application/xml;
gzip_disable "MSIE [1-6]\.";


The explanation of each of the parameters are given below.

  • gzip on; – enables gzip compression in nginx
  • gzip_vary on: – tells proxies to cache both compressed and normal versions of a resource
  • gzip_types – The type of files that can be compressed
  • gzip_disable “MSIE [1-6]\.”;  – Disable compression for Internet Explorer versions 1-6
  • gzip_min_length 1024; – Nginx will compress the files greater than this size and it will not compress anything less than this size.
  • gzip_proxied – compress data even for clients that are connecting via proxies


This is one of the way to improve the performance of APIs. The developers can focus on enhancing their logic and the admin or DevOps engineer can focus on enhancing the web server with optimal configuration. There are so many tricks and magics we can do in the web server. I will try to post some of those in my blog.

Hope this helps. 🙂 . Please comment if you face any issues.