Skip to main content

Python for Backend Web Development

 

Now-a-days python is a popular programming language which is the most favorable in the industry perspective. Python is very much helpful for computer vision, convolutional neural networks, data analysis, etc. And it is gaining its popularity day by day. Do you know you can do web development using python? The are many popular python web development frameworks available, Django is one of them. 

In this article, we will basically discuss how to do back-end web development using python. In this case you have to integrate the fronted with python back-end using python API, python FASTAPI is one of them. For this you have to install packages like, uvicorn and fastapi. For front-end development you may use react. To create a react app you must install Node.js. 

In a single react app you can create different applications for different purposes.

 

1. Frontend

Create a react app using the following command. You must need to install Node.js before from its official website.

npx create-react-app myapp

A react app will be created in the current direction named 'myapp' 
 
Now you can type in the terminal 'cd myapp'. this will redirect you to the local server 
http://localhost:3000/ 
 
And you'll see your react app is running. 
 
You can install the required npm packages from the same directory typing this command in the terminal

npm install package-name

 

2. Backend

firstly create a virtual python using the following command 
python -m venv myenv

This command will create a python virtual environment named 'myenv'
then type in the terminal 'cd myenv\Scripts' then './activate'. The virtual environment will be activated. Now you'll able to install packages like 'numpy', 'scipy', etc. 
 
 

3. The structure of your app should be

 

. - - -  - - - - - - - - . frontend

                                  - -  - node_modules
                                  - -  - public
.                                            - -index.html
 
.                                 - -  -src
.                                            - -App.js
.                                            - -Index.js
.                                            - -YourComponent.js
 
.                                 - -  -package.json
 

. - - -  - - - - - - - - . backend

.                                 - -  -env
.                                 - -  -main.py
.                                 - -  -requirements.txt
.

 



Contact Us

Name

Email *

Message *

Popular Posts

LDPC Encoding and Decoding Techniques

Low Density Parity Check (LDPC) Guide Comprehensive analysis of linear error-correcting block codes, Tanner graphs, and 5G-NR implementations. 📘 Overview 🧮 Encoding 🧩 Decoding 📚 Resources Theory Encoding Tech Tanner Graph 5G Encoding Decoding 'LDPC' is the abbreviation for 'low density parity check'. LDPC code H matrix contains very few amount of 1's and mostly zeroes. LDPC codes are error correcting code. Using LDPC codes, channel capacities that are close to the theoretical Shannon limit can be achieved. Low density parity check (LDPC) codes are linear error-correcting block code suitable for error correction in a large block sizes transmi...

Flat vs Frequency Selective Online Simulator

Flat vs Frequency Selective Online Simulator Channel Type Without Fading Flat Fading Multipaths Nakagami m SNR(dB) Run Simulation Input Signal Signal After Fading Constellation Diagram BER vs SNR Explore Advanced Flat vs Frequency-Selective Fading Simulator Want to see these equations in action? Visualize it. Launch Simulator Tool Return to DSP Simulations Main Page →

Online Simulator for ASK, FSK, and PSK Signal Generation

Interactive Digital Signal Processing (DSP) Tutorial and Simulator for ASK, FSK, and BPSK modulation techniques. Try our new Digital Signal Processing Simulator!   •   Interactive ASK, FSK, and BPSK tools updated for 2025. Start Now Digital Modulation Visualizer: ASK, FSK, & BPSK Simulator Learn and visualize binary modulation techniques (ASK, FSK, BPSK) in real-time with adjustable carrier and sampling parameters. Perfect for DSP students and engineers. 📡 ASK Simulator đŸ“ļ FSK Simulator 🎚️ BPSK Simulator 📚 More Topics ASK Modulator FSK Modulator BPSK Modulator Demodulation More Topics 1. ASK (Ampli...

UGC NET Electronic Science Previous Year Question Papers with Solutions

Download Papers and Solutions Exam Pattern Preparation Tips FAQs More Home / Engineering & Other Exams / UGC NET 2026 PYQ 📊 Exam Highlights: Electronic Science (88) Feature Details Junior Research Fellowship (JRF) ₹37,000 + HRA per month Eligibility M.Sc/M.Tech in Electronics (55%) Validity of Certificate JRF (3 Years) | Lectureship (Lifetime) đŸ“Ĩ Download UGC NET Electronics PDFs Complete collection of previous year question papers, answer keys and explanations for Subject Code 88. Start Downloading 📂 View All Question Papers June 2025 - Question Paper Download PDF June 2025 - Sol...

Gaussian minimum shift keying (GMSK)

📘 Overview & Theory 🧮 Simulator for GMSK 🧮 MSK and GMSK: Understanding the Relationship 🧮 MATLAB Code for GMSK 📚 Simulation Results for GMSK 📚 Q & A and Summary 📚 Further Reading Dive into the fascinating world of GMSK modulation, where continuous phase modulation and spectral efficiency come together for robust communication systems! Core Process of GMSK Modulation Phase Accumulation (Integration of Filtered Signal) After applying Gaussian filtering to the Non-Return-to-Zero (NRZ) signal, we integrate the smoothed signal to produce a continuous phase signal. For GMSK, the modulation index is $h=0.5$, meaning a bit '1' results in a phase shift of $\pi/2$: θ(t) = 2Ī€h ∫ 0 t m filtered (Ī„) dĪ„ This integration is crucial for avoiding abrupt phase transitions, ensuring smooth and continuous phase changes. Phase Mo...

Constellation Diagrams of ASK, PSK, and FSK (with MATLAB Code + Simulator)

Constellation Diagrams: ASK, FSK, and PSK Comprehensive guide to signal space representation, including interactive simulators and MATLAB implementations. 📘 Overview 🧮 Simulator ⚖️ Theory 📈 Q-function 📚 Resources BASK Modulation Transmits one of two signals: 0 or $\sqrt{E_b}$, representing binary 0 and 1. Simple but sensitive to noise. BFSK Modulation Transmits one of two signals: $\sqrt{E_b}$ on the Y-axis or $\sqrt{E_b}$ on the X-axis. These are orthogonal signals. BPSK Modulation Transmits $+\sqrt{E_b}$ or $-\sqrt{E_b}$ (antipodal signaling). Most efficient binary scheme. ...

1G to 5G Technology - Evolution of Wireless Generations

Cellular wireless evolution Generation Frequency band PHY features Data rate Spectral Eff. (bps/Hz) 1G 850 MHz FDMA, FM N/A N/A 2G 900 MHz, 1.8 GHz TDMA/CDMA, GMSK/QPSK, FEC, PC 10 Kbps < 1 3G 1.8–2.5 GHz CDMA, QAM 1–40 Mbps 1–8 4G 2–8 GHz OFDMA, SC-FDMA, QAM, MIMO-OFDM 100–600 Mbps 15 5G 1–6 GHz mm wave (26–28 GHz) < 1 GHz (massive IoT) visible light? massive MIMO, beamforming D2D, Full duplex, NOMA LDPC and Polar codes OFDM & variants (adapted to extremes?) multi-Gbps several tens Waveform design is the major change between the generations Mobile Wireless Generations Specifications  1G  Voice, Analog traffic, FDMA  2G  Voice, SMS, CS data ...