
Quick Contact
Python Tutorial
- What is Python?
- How to Install Python?
- Python Variables and Operators
- Python Loops
- Python Functions
- Python Files
- Python Errors and Exceptions
- Python Packages
- Python Classes and Objects
- Python Strings
- PostgreSQL Data Types
- Python Generators and Decorators
- Python Dictionary
- Python Date and Time
- Python List and Tuples
- Python Multithreading and Synchronization
- Python Modules
- What is Python bytecode?
- Python Regular Expressions
Python Panda Tutorial
- Python Pandas Tutorial
- Python Pandas Features
- Advantages and Disadvantages of Python Pandas
- Pandas Library In Python
- Pandas Series To Frame
- Python Dataframeaggregate and Assign
- Pandas Dataframe Describe
- Pandas Dataframe Mean
- Pandas Hist
- Pandas Dataframe Sum
- How to convert Pandas DataFrame to Numpy array
Python Selenium
- Selenium Basics
- Selenium with Python Introduction and Installation
- Navigating links using get method Selenium Python
- Locating Single Elements in Selenium Python
- Locating Multiple elements in Selenium Python
Python Flask Tutorial
Python Django
- How to Install Django and Set Up a Virtual Environment in 6 Steps
- Django MTV Architecture
- Django Models
- Django Views
- Django Templates
- Django Template Language
- Django Project Layout
- Django Admin Interface
- Django Database
- Django URLs and URLConf
- Django Redirects
- Django Cookies and Cookies Handling
- Django Caching
- Types of Caching in Django
- Django Sessions
- Django Forms Handling & Validation
- Django Exceptions & Error-handling
- Django Forms Validation
- Django Redirects
- Django Admin Interface
- Django Bootstrap
- Ajax in Django
- Django Migrations and Database Connectivity
- Django Web Hosting and IDE
- Django Admin Customization
- What is CRUD?
- Django ORM
- Django Request-Response Cycle
- Django ORM
- Making a basic_api with DRF
- Django Logging
- Django Applications
- Difference between Flask vs Django
- Difference between Django vs PHP
Numpy
- Numpy Introduction
- NumPy– Environment Setup
- NumPy - Data Types
- NumPy–Functions
- NumPy Histogram
- numPy.where
- numpy.sort
- NumPyfloor
- Matrix in NumPy
- NumPy Arrays
- NumPy Array Functions
- Matrix Multiplication in NumPy
- NumPy Matrix Transpose
- NumPy Array Append
- NumPy empty array
- NumPy Linear Algebra
- numpy.diff()
- numpy.unique()
- numpy.dot()
- numpy.mean()
- Numpy.argsort()
- numpy.pad()
- NumPyvstack
- NumPy sum
- NumPy Normal Distribution
- NumPylogspace()
- NumPy correlation
- Why we learn and use Numpy?
Tensorflow
- Introduction To Tensorflow
- INTRODUCTION TO DEEP LEARNING
- EXPLAIN NEURAL NETWORK?
- CONVOLUTIONAL AND RECURRENT NEURAL NETWORK
- INTRODUCTION TO TENSORFLOW
- INSTALLATION OF TENSORFLOW
- TENSORBOARD VISUALIZATION
- Linear regression in tensorflow
- Word Embedding
- Difference between CNN And RNN
- Explain Keras
- Program elements in tensorflow
- Recurrent Neural Network
- Tensorflow Object Detection
- EXPLAIN MULTILAYER PERCEPTRON
- GRADIENT DESCENT OPTIMIZATION
Interview Questions & Answers
11) INSTALLATION OF TENSORFLOW
To install tensorflow first you need to install python, so go to browser and type “python.org”.

Go to downloads and click on windows. Make sure that you install the latest python i.e. 64-bit and are an executable installer. Let’s start installing it.

– Make sure, you should check the following box and then click install now.

Wait for some time and…

Python installation is now complete. Click the close button then go to start, type command prompt, and open it.
– To verify that your python is installed correctly, type “python” and click enter.

It verifies that you installed it correctly. Let’s install the virtual environment by typing the following command-:
“pip install virtualenv”
Click enters. (Note-: before it quit python ())
Now type command “pip install virtualenv” and press enter and wait for the process to end.

Now, virtual environment installation is complete, now let’s install the tensorflow by typing the following command-:
“Python –m pip install –upgrade tensorflow” and press enter.
Wait for some time until setup is running-:

Now installation is complete. So to verify that your installation is successful, Start python – “>python” and then type “import tensorflow” and then click enter.
If any warning is there, then it is expected when your CPU doesn’t support then your CPU may not have graphics card, if your CPU has a graphic card, so install the software “cuda 10.1”, which is also shown in command prompt when you run above command. So don’t install latest version because tensorflow supports only till the version which will be shown in command prompt.
– So install ‘cuda’ software by selecting options according to your windows.

And then click on download button and start installing by open downloaded file.

So after this, software will ready to install.

After installing the software, type last command i.e. “>import tensorflow” again in command

So it successfully opened the dynamic library. So installation process of tensorflow is completed.