Who Is A Python Developer?
The Python application development is a process where a developer is allowed to deal with the both Front-end and Back-end development of the application.
To be a python developer one should be comfortable with the python library component too as it is being considered as a foundation for developing the application.
In Python application Development both the front-end and Back-end development are to be get done like server and client-side applications.
The front-end and Back-end development in Python application involves the logics and thus they are used to get paid highly.
Here I am going to discuss the few tips which are surely makes you to prepare yourself as Python developer whose primary job is to write web applications using Python technology.
Why Become a Python Developer?
The Learning of python is very much essential because it is being indexed in 3rd important ranking in programming approach.
Python has great analytical capabilities and multiple libraries geared for Various domains and is a very powerful general-purpose language.
In addition, with this it is also being highly recommended by most of the industries in now a days.
It even better is that Python is being preferred for domains like Data Science, Machine Learning, and Artificial Intelligence.
It is being expected by the expert that the modern requirement of the industry is in the field of Data Science, Machine Learning and AI.
Job Roles
Being a python developer, you need to do the following.
You should to learn how Python works on a framework.
As Python has some very powerful frameworks like Django, Flask, and CherryPy so you to learn them also.
You must have the understanding how to use ORM libraries like SQLAlchemy and Django ORM. This is easier and faster than writing SQL.
You must be comfortable with the technologies like HTML5, CSS3, and JavaScript/jQuery are not a requirement to be a Python developer.
But if you can, try to gain a basic understanding of these, and they will let you understand how things work and what is possible.
As a Python developer, you may need to work with the front-end team.
You should learn GitHub and its simple terms like push, pull, fork, and commit if you want to implement version control
How To Become A Python Developer?
If you want to persue your career in Python then decide to learn Python first and you should be very clear regarding why you want to do it.
You need to Follow online tutorials. DataFlair has this comprehensive list of Python tutorials where you’ll find everything at one place. Keep practicing as you learn.
3.You need to go through the good books on Python and enroll in an online Python course if possible.
Through the continuous learning and proper guidance, you’ll understand the concepts, solve practical’s and assignments, and even work on some exciting projects.
Keep reading the official Python documentation for different constructs.
Take a peek into the source code of your favourite Python package to know how it works.
Projects for Practice
In this particular field the most basic question is What to Learn in Python? So to solve this complex question I need to suggest you some prerequisites as below.
Learn the basics. Learn about its history, syntax, installation, and some basic constructs like statements, variables, and operators.
Find out about the applications of Python. Also, understand the differences between Python 2 and Python 3.
Learn about basic data structures like lists, sets, and dictionaries and Understand the important concepts like decision making and loops.
Learn how to create a virtual environment and Move on to functions and recursion.
Try to learn how to generate and use random numbers and regular expressions.
Learn about more complex topics like networking, XML processing, and multiprocessing.
Learn to build GUIs with Python.
Find out about exceptions and how to handle them.
Learn to use SciPy, NumPy, and Pandas.
Learn to debug, unit-test, log, serialize, and access the database.
Program Advantage at NareshIT:
At NareshIT’s Python application Development program you will be able to get the extensive hands-on training in front-end, middleware, and back-end technology.
It skilled you along with phase-end and capstone projects based on real business scenarios.
Here you learn the concepts from leading industry experts with content structured to ensure industrial relevance.
An end-to-end application with exciting features
Earn an industry-recognized course completion certificate.
What is Python?
Python is a popular programming language created by Guido van Rossum, and released in the year 1991.
Python is more powerful language which offer great tools for data crunching and preparation, as well as for complex scientific data analysis and modelling.
Python today has multiple implementations including Jython, scripted in Java language for Java Virtual Machine.
IronPython is the new variety which is written in C# for the Common Language Infrastructure, and PyPy version written in RPython and translated into C.
Most of the Python modules work on community development model and are open-source and free.
In addition, with this it is also used for the Server-side web application development, Application software development, The mathematics and Analytics, and System scripting.
Applications of Python:
As we have already discussed earlier that the Python is mainly used for developing the
Server-side web application development,
Application software development based on frameworks,
The mathematics and Analytics, and System scripting.
Big Data Analysis and Computation.
It is also used in AI application interfacing like Cognitive Computing and NLP.
GUI based desktop applications
Image processing and graphic design applications
Scientific and computational applications
Games Development
Advantages/Benefits of Python
The python language is having many applications due to because of its extensive features and compatibility with other platforms. It is used for mainly the following applications listed as below.
It can be used on a server to create web applications.
It can be used alongside software to create workflows.
It can connect to database systems. It can also read and modify files.
It can be used to handle big data and perform complex mathematics.
It can be used for rapid prototyping, or for production-ready software development.
It works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
It has syntax that allows developers to write programs with fewer lines than some other programming languages.
It runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.
It can be treated in a procedural way, an object-oriented way, or a functional way depending on the requirement of the developer.
Presence of Third-Party Modules:
A Third-party module is defined as any code that has been written by a third party (neither you nor the python writers (PSF)). You can use them to add functionality to your code without having to write it yourself.
Examples include things like requests that simplifies http requests and nose that helps with unit/integration testing.
Modules are basically files which contain definitions that provide helpful functionality. Theoretically, all of you could write any program you wanted to write on your own, without any modules or outside help.
But why reinvent the wheel if you don't have to? This is the general gist behind modules.
You all have experience using modules such as tkinter and csv. These modules are part of a library of standard modules that came packaged with your install which the developers have deemed useful or necessary for your daily python usage.
This is where Third-party modules come in. When you come across a problem that the standard modules can't solve, there's a good chance somebody else had the same problem before you and created his own module to solve it.
Extensive Support Libraries
Python provides a large standard library which are used for various applications. It mainly includes areas like
Internet protocols,
String operations,
Web services tools and
Operating system interfaces.
Many high use programming tasks have already been scripted into the standard library which reduces length of code to be written significantly.
Open Source and Community Development:
As the Python is already a proven language in the data science industry and it is widely accepted by most of the industry, so it is now taken the lead as the toolkit for scientific data analysis and modelling. Python language is developed under an OSI-approved open-source license, which makes it free to use and distribute, including for commercial purposes. Further, its development is driven by the community which collaborates for its code through hosting conferences and mailing lists and provides for its numerous modules.
Learning Ease and Support Available:
Python offers excellent readability and uncluttered simple-to-learn syntax which helps beginners to utilize this programming language.
The code style guidelines, PEP 8, provide a set of rules to facilitate the formatting of code.
Additionally, the wide base of users and active developers has resulted in a rich internet resource bank to encourage development and the continued adoption of the language.
Python is vastly powerful for solving complex and difficult data analytical problems in virtually any domain.
Python is platform independent, and so it can integrate with most existing IT environments.
User-friendly Data Structures:
Python has built-in list and dictionary data structures which can be used to construct fast runtime data structures.
Python also provides the option of dynamic high-level data typing which reduces the length of support code that is needed.
Productivity and Speed:
Python has clean object-oriented design, which provides enhanced process control capabilities, and possesses strong integration and text processing capabilities and its own unit testing framework, all of which contribute to the increase in its speed and productivity.
In other words, we say that Python is more popular language. It is having the simple syntax and gradual learning curve has been one of the most popular reasons as to why it’s used in Big Data.
Using Python, we can be able to build a framework that makes it easy for us to grab data from all of these disparate data sources and model them.
So instead of everyone spending their time writing database connector code, they are able to use a simple configuration and quickly get off the ground”
It allows organizations to move code from development to production more quickly since the same code made as a prototype can be moved into production.
Python is considered a viable option for building complex multi-protocol network applications.
Scope @ NareshIT:
At Naresh IT you will get a good Experienced faculty who will guide you, mentor you and nurture you to achieve your dream goal.
Here you will get a good hand on practice in terms of practical industry-oriented environment which will definitely help you a lot to shape your future.
During the designing process of application, we will let you know about the other aspect of the application too.
Our Expert trainer will let you know about every in’s and out’s about the problem scenario.
Achieving your dream goal is our motto. Our excellent team is working restlessly for our students to click their target. So, believe on us and our advice, and we assured you about your sure success.
What is Python?
The Python is more powerful language which offer great tools for data crunching and preparation, as well as for complex scientific data analysis and modelling. Python is a popular programming language. It was created by Guido van Rossum, and released in 1991. It is basically used for:
web application development (server-side),
software development,
mathematics,
system scripting.
Python Interpreter:
The python is an interpreted language and hence it is very popular among other languages.
The Python interpreter is usually installed as /usr/local/bin/python3.9 on those machines where it is available;
Putting /usr/local/bin in your Unix shell’s search path makes it possible to start it by typing the command:
python3.9
On Windows machines the python3.9 command will be available where you have installed Python. If you have the py.exe launcher installed, you can use the py command also.
5.The interpreter is also used for Argument Passing and Interactive Mode of operations.
Python Installation
We can install Python on our Windows server or local machine in just a few easy steps as mentioned below.
Select Version of Python to Install. The installation procedure involves downloading the official Python .exe installer and running it on your system. The version you need depends on what you want to do in Python. But I recommend you to download both the latest version of Python 2 and 3.
Download Python Executable Installer. Open your web browser and navigate to the Downloads for Windows section of the official Python website. Search for your desired version of Python. Select a link to download either the Windows x86-64 executable installer or Windows x86 executable installer.
Run Executable Installer.
The next dialog will prompt you to select whether to Disable path length limit. Choosing this option will allow Python to bypass the 260-character MAX_PATH limit.
Verify Python Was Installed on Your system or not.
Python Installation For Windows
To install the Python on windows we need to have the same installation process as we have discussed above but after that we need to verify that whether the python has properly install or not in the system. To verify the installation we need to do the following.
Introduction to Python:
Navigate to the directory in which Python was installed on the system. In our case, it is C:\Users\Username\AppData\Local\Programs\Python\Python37 since we have installed the latest version.
Double-click python.exe.
The output should be similar to what you can see below:
If the above screen is get appear it means it is installed properly.
Now we need to check and verify that whether the Pip is installed or not. The Pip is a powerful package management system for Python software packages. But If you opted to install an older version of Python, it is possible that it did not come with Pip preinstalled.
To verify whether Pip was installed:
Open the Start menu and type “cmd.”
Select the Command Prompt application.
Enter pip -V in the console. If Pip was installed successfully, you should see the following output:
If the above screen gets appear then it means that the Pip is get installed in your system.
Python Installation For Linux:
First, install development packages required to build Python.
On Debian we need to do the following:
$ sudo apt update
$ sudo apt install build-essential zlib1g-dev \
libncurses5-dev libgdbm-dev libnss3-dev \
libssl-dev libreadline-dev libffi-dev curl
On Fedora we need to do the following.
$ sudo dnf groupinstall development
4. Download the stable latest release of Python. Here Visit the official Python website and download the latest version of Python. After the download is complete, you have a .tar.xz archive file (a "tarball") containing the source code of Python.
5. Extract the tarball
6. Configure the script. Once the Python tarball has been extracted, navigate to the configure script and execute it in your Linux terminal with: $ cd Python-3.*
./configure command.
7.Start the build process using the command $ sudo make altinstall
8. Verify the installation with the help of command python --version
Python Installation For Mac
It should be noted that the Mac OS X comes with Python 2.7 out of the box. If you are going to use Python 2, then You do not need to install or configure anything else to use Python 2. But if you are using the python 3 then you need to do the following.
The Homebrew version of Python 2 is already installed, and the Homebrew version of Python 3 as well.
$ python command will launch the Homebrew-installed Python 3 interpreter.
$ python2 Command will launch the Homebrew-installed Python 2 interpreter (if any).
$ python3 Command will launch the Homebrew-installed Python 3 interpreter.
If the Homebrew version of Python 2 is installed then pip2 will point to Python 2. If the Homebrew version of Python 3 is installed then pip will point to Python 3.
The rest of the guide will assume that python references Python 3.
$ python –version
Python 3.7.1 # Success!
Python IDE:
A code editor is a tool that is used to write and edit code.
They are usually lightweight and can be great for learning.
An IDE (Integrated Development Environment) understand your code much better than a text editor.
It usually provides features such as build automation, code linting, testing and debugging. This can significantly speed up your work.
The downside is that IDEs can be complicated to use.
Some of the best IDEs are listed as below.
Online Compiler from Programiz.
IDLE
Sublime Text 3
Atom
Thonny
PyCharm
PyCharm
The PyCharm is an IDE for professional developers because it comes with many latest features.
It is Developed and created by JetBrains, which is a company well known for creating great software development tools.
There are two versions of PyCharm are available in the internet:
Community – It is a free open-source version, lightweight, good for Python and scientific development. It is well recommended for beginners also.
Professional – It is a paid version which is mostly used by the expert developers in the corporates. It is associated with the full-featured IDE with support for Web development as well.
The PyCharm provides all major features that a good IDE.
It should provide: code completion, code inspections, error-highlighting and fixes, debugging, version control system and code refactoring.
All these features come out of the box.
So it is suggested that, PyCharm is considered as best IDE for Python development.
Jupyter Notebook
The Jupytext offers one way of accessing your notebook from the IDE.
But it is not the only way. The other IDEs like Spyder also has a long history of offering an interactive mode on scripts with double percent cell markers.
Hydrogen is a plugin for the Atom editor that lets you run these scripts interactively.
Here the Searching among notebooks is super easy so it is very widely used and they are just text files.
Here the Drafting a new notebook is so comfortable.
It provides you the benefit from the advanced capabilities of the IDE: syntax checks, completion, reformat, documentation tips.
Jupytext solves the issue of version control.
Why Learn Python?
As the Python is already a proven language in the data science industry and it is widely accepted by most of the industry, so it is now taken the lead as the toolkit for scientific data analysis and modelling.
These are open-sourced libraries, offering alternate ways of deriving the same output.
As the technology now a days gets more and more competitive, data scientists and engineers are continually striving for ways to process information, extract insights and model, by processing massive datasets.
Python is the only platform where we can be able to explore the various, so you need to be well versed in the various Python libraries that support your data science tasks and the benefits they offer to make your outputs more robust and speedier.
In addition, with the above Using the python, we can be able to do the following which is highly recommended.
Python can be used on a server to create web applications.
Python can be used alongside software to create workflows.
Python can connect to database systems. It can also read and modify files.
Python can be used to handle big data and perform complex mathematics.
Python can be used for rapid prototyping, or for production-ready software development.
Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
Python has a simple syntax like the English language.
Python has syntax that allows developers to write programs with fewer lines than some other programming languages.
Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.
Python can be treated in a procedural way, an object-oriented way, or a functional way.
Python Applications:
Ass we have already discussed that the Python is the only platform where we can be able to explore the various prospect, so you need to be well versed in the various Python libraries that support your data science tasks and the benefits they offer to make your outputs more robust and speedier. It has many applications areas out of which I am going to discussed few listed below.
Web Development.
Game Development.
Scientific and Numeric Applications Development.
Artificial Intelligence and Machine Learning based application development.
Software Development based application development.
Enterprise-level/Business based application development.
Education programs and training courses.
Language Development.
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Scope @ NareshIT:
At NareshIT’s Python application Development program you will be able to get the extensive hands-on training in front-end, middleware, and back-end technology.
It skilled you along with phase-end and capstone projects based on real business scenarios.
Here you learn the concepts from leading industry experts with content structured to ensure industrial relevance.
An end-to-end application with exciting features
Earn an industry-recognized course completion certificate.
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