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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
Django Web Hosting and IDE
Django framework is simple, modular yet very powerful. There is a catch though. We have been running our website on the local computer.
A website’s true application is on the web. I am sure we all concur on that. So, we have to put out a website online. It is also referred to as going live, on a production server, etc.
These all mean the same thing. Hosting is the part where you can showcase your work to the public. When websites go live, it becomes accessible by the public. People can see and access what you have built. It’s a wonderful feeling.
What is Production Environment?
A server computer is nothing but a computer. The special thing about a server computer is that it’s connected to internet 24×7. It has a server program, backend and everything your website needs. Therefore, it is often called a production environment.
A production environment is capable of running and serving your website to users. The production environment can include:
- Computer Hardware
- Operating System like windows, ubuntu, etc.
- Support for a programming language like Python Interpreter
- Web Server like Apache, Nginx, etc.
- Application server
- Databases on which our website is built
- Some extra tools like a load balancer, proxy server, etc.
Git – Introduction & Setup
This part is for developers who have no experience with Git. Feel free to skip if you have installed Git and have an account on GitHub. We are going to introduce Git and GitHub in this article.
So, Git is a version control system which means it will track your progress on the software. There are many similar tools but currently, Git is the most popular. Beginners often think Git and GitHub as the same thing. They are very different.
As stated earlier, Git is a version control system. It is a piece of software that you can install on your computer. You can track the changes you made to the project. It is a powerful software for fast and manageable development. You can make repositories of your code and then mark what changes were made. It really helps out when you have been making changes to project over a long period of time.
What is GitHub?
GitHub is a hosting platform for Git. As you have experienced, Git is a command-line tool and can be difficult for beginners. GitHub provides a graphical UI so it is fairly easy then Git. Although, GitHub is really powerful when you use it alongside Git.
The Github.com provides developers a place to freely host their project code. That can be manipulated by the Git CLI tool. Its integration is what makes this tool awesome and so productive.
Just open Github website for making an account. This GitHub account is a developer’s portfolio. So, I advise you to upload your work on the platform. This will help you a lot in getting a job or recommendation.
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