Category Archives: programming

programming

Software Development Life Cycle

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What Is Software Development Life Cycle?

In systems engineering, information systems, and software engineering, the software development life cycle, also referred to as the application development life-cycle, is a process for planning, creating, testing, and deploying an information system.


Software development Life Cycle consists of a detailed plan describing how to develop, maintain, replace and alter or enhance specific software. The life cycle defines a methodology for improving the quality of software and the overall development process

Why the Software Development Life Cycle is important

Did you know that 85% of software projects run over schedule? And The process of developing software solutions is difficult and often long and expensive operation. SDLC or the Software Development Life Cycle is a process that produces software with the highest quality and lowest cost in the shortest time possible.


SDLC provides a well-structured flow of phases that help an organization to quickly produce high-quality software which is well-tested and ready for production use. Also, that when the life cycle is done right, it sets a clear path for everyone involved in the development process to arrive at their goal.

Furthermore, not only does the SDLC process clearly define the goal and the path toward it, but it also doesn’t rely on any single person.

Also, since SDLC provides a well-documented trail of the project, things won’t instantly crash and burn if a key person leaves before the project is done.
Instead, their replacement can jump straight in without any difficulties.

At this point, I think you already know what the SDLC is and also its importance!

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Software Development Life Cycle phases.

The Software Development Life Cycle (SDLC) refers to a methodology with clearly defined processes for creating high-quality software. In detail, the SDLC methodology focuses on the following phases of software development:

  • Planning
  • Requirement Gathering and Analysis
  • Software design such as architectural design
  • Implementation and Coding The Software
  • Testing
  • Deploying The Software
  • Maintaining and Managing The Software

you may also like 6 common programming mistakes to avoid for best result

How does Software Development Life Cycle work?

SDLC works by lowering the cost of software development while simultaneously improving quality and shortening production time. Also, SDLC achieves these apparently divergent goals by following a plan that removes the typical traps of software development projects.
That plan starts by evaluating existing systems for deficiencies.


also, it defines the requirements of the new system. It then creates the software through the stages of analysis, planning, design, development, testing, and deployment.
By anticipating costly mistakes like failing to ask the end-user or client for feedback, SLDC can eliminate redundant rework and after-the-fact fixes.


It’s also, important to know that there is a strong focus on the testing phase. As the SDLC is a repetitive methodology, you have to ensure code quality at every cycle. Many organizations tend to spend little effort on testing while a stronger focus on testing can save them a lot of rework, time, and money. Be smart and write the right types of tests.
Next, let’s explore the different stages of the Software Development Life Cycle.

You may also like to know how to install python on windows properly

The 7 Stages Of A Software Development Life Cycle, Explained

Planning

“What are the current problems?”

This stage of the SDLC means getting input from all stakeholders, including customers, salespeople, industry experts, and programmers. Learn the strengths and weaknesses of the current system with improvement as the goal.

Requirement Gathering and Analysis

“What do we want?”

At this stage of the SDLC, the team determines the cost and resources necessary to implement the analyzed requirements.
It also details the risks involved and provides sub-plans to eliminate those risks.
In other words, the team needs to determine the feasibility of the project and how they can successfully implement it with the lowest risk in mind.

Software design such as architectural design

“How will we get what we want?”

This phase of the SDLC starts by turning the software specifications into a design plan called the Design Specification. After collecting and analyzing important information in the previous stage, the enterprise software development company moves on to the second stage — design.

This stage of the software development process starts with the design of software solutions. Also, it depends on the type of software being created, this can include interface designs, user experience (UX) outlines, prototypes, and more. Software development firms must specify the system and hardware requirements.

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Implementation and Coding The Software

“Let’s create what we want.”

Following design, software developers can move to the third stage of SDLC — implementation and coding. In this phase, the software design is translated into the source code, the actual development starts.

It’s important that every developer sticks to the agreed blueprint. Also, make sure you have proper guidelines in place about the code style and practices. This step is often the longest in the entire life cycle and that is because developers must ensure that the code is correct before they make it live.

This is also, why it is not a surprise for developers to return multiple times to this phase if the tests find any issues.

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Testing

“Did we get what we want?”

this is the stage for testing defects and deficiencies. We fix those issues until the product meets the original specifications. Software can’t function properly if its code is broken. To ensure that is the case, the software development company must test the code several times if needed.

Only when developers are sure the code is error-free, can they show it to the user.
Throughout this stage, the source code will go through a number of tests, including functional and non-functional ones, such as system, integration, unit, acceptance, etc.

If a test reveals an error, bug, or any other issue, that needs to be fixed then and there before moving to the next stage. In short, we want to check if the code meets the expected requirements.

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Deploying The Software

“Let’s start using what we got.”

So, the product is tested and it is bug-free. That means the software development company can finally show it to the user. This still doesn’t mean the software is ready for release. Instead, it first has to go through UAT (User Acceptance Testing) to see if it matches the user expectations.

Then, if it does and the customer gives the green light, the software leaves the beta testing phase and can go live.

Maintaining and Managing The Software

“Let’s get this closer to what we want.”

Once the software goes live, there is still a lot of work in the development life cycle. Some problems might only rear their ugly head only when the software is put through the rigours of actual use.

That’s why, in this stage, the software development company must maintain constant communication with the user through customer support channels, either via phone, email or chatbot, for example.

In addition, because the software has now left the safe testing and development zone and has gone live, it will automatically become a potential target for different malicious cyber-attackers. To prevent hackers from exploiting any vulnerabilities, you also need to take a close look at cyber-security. Cyber-security should be always in your focus as attacks of this kind increase every year.

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programming

6 Common Programming Mistakes to avoid for best result

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Programming is where counting starts from 0, not 1. If you are not in programming and you will be pointing this a mistake made by a programmer then be ready to see a sarcastic angry young man look like a programmer throwing a paper or stone at yourself.

Programming is one of the funniest, hardest (If you don’t enjoy coding), and easiest (If you love to play with code) things to do in the world.

A semicolon, a bracket, a loop, and a lot of small and big things matter a lot in coding and you might have definitely experienced your silly mistakes especially in the initial phase-in programming.

Mistakes are part of coding and every programmer makes tonnes of mistakes especially as a beginner but that’s how they grow and become a good developer. We are going to discuss 6 common mistakes that programmers make during the initial phase of coding but these are not limited. It’s good to be aware of these mistakes and not to do the same while learning to code…

Mistakes to avoid in programming

1. Learning Too Many Programming Languages, Frameworks, and Technology

This is one of the common mistakes that most beginners make when they start learning to code. They think that it’s impressive to have C, C#, java, c++, Python, and a lot more languages, frameworks or technology to showcase to someone or to mention in the resume.

But that’s actually foolishness not the sign of intelligence if you don’t have command or in-depth knowledge in any one of them. Learning Java for 15 days and switching to Python just because java is tough or there is another reason then you will eventually end up with lots of confusion.

It’s good to have knowledge of multiple languages but we highly recommend you to focus on a single language, in the beginning. Once you are experienced you won’t face difficulty in switching to another language. If you do this mistake then after a couple of years you will realize you aren’t a master in any single language.

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2. Self doubt, fear

It’s human nature to have fear and doubt of doing something but, doubt and fear never let you become the person you want really to be. Being a programmer requires much effort and you have to overcome fear and you have to trust yourself that you can do it.

You see a talented programmer who is good at solving problems and making things work too fast, you start doubting and questioning your capability which is not good. Some people are good at picking up the concept very easily and some people take time but slow learning is completely superb if you take interest in coding.


Programming might be scary for you sometimes and beginners go through the phase when a voice in the head always say ‘I am not smart enough to solve the problem‘, programming is for genius by that time you are having negative mind then doubt will make your week to even start or continue your journey of coding you will feel that you are not capable enough for coding.

When you have self-doubt in yourself always remember that you need to face it with courage and you need to be fearless.

Programming is the field of taking the challenge and helping others by solving their problems but before that do yourself a favour and help yourself first. There is a lot of videos on YouTube that can help you to overcome your fear and to be trustworthy.

3. Writing Code Without Plan

A lot of beginners in excitement skip the thinking, research, and planning stages of a project and start writing code right away. They do not understand the problem requirements, limitations and do not think about all the case scenarios (what’s the input and what should be the output etc).

It can create a big issue and later you may regret it. We highly recommend every beginner to start step by step before writing code, forget getting a good output on the end. The beginner should also think and research before start writing code.

In programming, developers spend only 10% of their time writing code. The rest of the time they think, plan, research, and discuss the complete project. Beginners should go with the flow in a sequence of Think, Research, Plan, Write, Validate and Modify so they should follow some basic things before writing the code to avoid any issue or disaster at the production level.

  • Understand the problem (Requirements analysis and specification)
  • Design the program and make a rough working draft.
  • Coding and unit testing
  • Think and note down all the corner cases for testing.
  • Break the problems into solvable pieces.

4. Not Using Proper Debugging Tool or IDE

A fragment of Neon’s code, a DSL to write classes and modules in JavaScript

Debugging is an essential part of programming. Debugging can be done manually or using a tool. The tool provides vital information regarding the errors or bugs that make the program not usable.

Using debugging tools or Integrated Development Environment(IDE) can improve the way you write and debug code, improving productivity and satisfaction.

5. Thinking you are already a master in programming

It’s really an exciting and amazing feeling for beginners when they start writing a small program and they found that their code starts running without any bug. After all, they put so much effort into learning to code and finally they have successfully written a program that actually works.

They enjoy coding, their confidence grows and maybe they also start teaching stuff to others. It’s actually a pleasurable feeling that they have learned a lot of stuff but what if we say to explore some more complex projects or just take a look at their own code they have written a couple of months back.

They will understand that it still needs some modification and their code can be refactored as well. This happens with the experienced programmer as well. Always remember programming is a marathon where there is no end line.

Every day new technology, frameworks and a lot of things are coming out in the world, so there is no end to learning the coding stuff. Keep your feet on the ground, explore more complex stuff in programming, and keep learning.

If you will hang out with some great experienced programmers you will find they don’t carry ‘I know everything attitude’ with themselves, they keep learning and they keep exploring the things even after spending years in programming.

6. Commenting and OverCommenting — Where is the Comment?

A coin has two sides, and this is true for many ideas and concepts or behaviour we come across through our daily life.

Commenting on your code is necessary and highly rewarding if done right. And, there are two types of people who treat their code rightly. The number one is those who do not comment at all. The other type, do comment but overdo it by a large margin.

Both approaches complement each other. Commenting on your code makes it easier to understand and sends the message in natural language to the reader. On the other hand, too much information can make the situation ugly and unnecessarily complicated.

Slight use of humour in comments can work, but unnecessary writing an essay in comments is not at all recommended(unless needed).

For example, Variable += 1 // increment Variable by 1, is unnecessary and unsettling for others.

closing note

Programming is one of the rewarding trades out there. It can be frustrating on many occasions, but many of us know the rewards and satisfaction it yields after successful execution. Today, I went through the 6 mistakes beginners programmers make.

The list is in no way complete, and the readers are encouraged to share their own experiences. Beginners experience the world of programming differently and it is always best to make mistakes as fast as you can. Understanding that you are making mistakes fast can improve you in less time and make you a better programmer in a long run.

The idea of this post came into my mind when my friend asked me how he can avoid making common mistakes. It’s very easy for beginners to fall into the trap of thinking that they are moving in the right direction and can lose precious time practising odd habits and code writing habits.

programming

How To Install Python On Windows properly

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So do you want to learn to code? Python is the best choice you have done, One of the most common languages to start with is Python, popular for its unique blend of object-oriented structure and simple syntax.

Python is also an interpreted language, with python you don’t need to learn how to compile code into machine language: Python does that for you, allowing you to test your programs sometimes instantly and, in a way, while you write your code.

Just because Python is easy to learn doesn’t mean you should underestimate its potential power. You might also want to know the reasons why you should learn python.

You can install and try Python on nearly any computing platform, so if you’re on Windows, this article is for you. Or if you are already familiar with python you can also look at the best Python Gui

How to get python?

Download python

Python is available from its website before downloading python be sure you know your windows if it’s 64 bits or 32 bits then go to, Python.org. Once there, hover your mouse over the Downloads menu, then hover your mouse over the Windows option, and then click the button to download the latest release.

If you are going to use Python for scripting in some API-enabled piece of software. Scribus requires at least Python 2.7

Then, choose for your operating system 64 bits or 32 bit. as mentioned up.

operating system 64 bits or 32 bits

Install Python

Once the package is downloaded, double click on it to start the installation.

It is safe to accept the default install location. Nb: you must add python in the path in another to be found in the terminal of your computer.

During installation this is not selected by default, so select it at the bottom of the install window before continuing! click on customize the installation.

Installing python

Check if all features are selected After checking the checkboxes for Launcher and System Path. you can see that I selected for all users.

selecting features

Click the Next Button to choose Advanced Options. last click on install

Windows must ask you if you want to do some changes as the user of the pc. Before Windows allows you to install an application from a publisher other than Microsoft, you must give your approval.

It’s a User Account Control system. Now Click Yes button to continue the installation.

installing python

It will show the success screen after completing the installation

finished installation

Now click the Close button to close the installer. This completes the installation step to install Python.

Verify Installation

In this step, we will verify the installation of Python. Search for Python on the system. on the taskbar on the search field type python windows will search if python exists. Then if it exists congratulation you have done it. open a python terminal.

searching python

Now execute the Python command-line option as highlighted

python command line

We can verify the version of python on Windows Command Prompt. press (Windows + R). type cmd then enter, Windows Command Prompt will open. then type (python –version)

python version installed

Using a python IDE or Install an desired IDE

To write programs in Python, you have to use a text editor, good news python is coming with an appropriate IDE no need to stress looking at others, but if you are familiar with another text Editor like sublime text, Atom … you are free to use it. An IDE integrates a text editor with some friendly and helpful Python features. IDLE 3 and Pycharm (Community Edition) are two great open source options to consider.

It’s recommended for beginner to use a python IDLE to be familiar with it.

Closing note

As you can see, it’s easy to get started with Python, and as long as you’re patient with yourself, you may find yourself understanding and writing Python code with the same fluidity as you write your native language. Congratulation you made it.

programming

Top best 5 Python GUI’s libraries for professional users

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what is a GUI?

stands for “Graphical User Interface” and is pronounced, “gooey.” It is a user interface that includes graphical elements, such as windows, icons, and buttons.

The term was created in the 1970s to distinguish graphical interfaces from text-based ones, such as command-line interfaces.

However, today nearly all digital interfaces are GUIs. In this article, we are going to discuss the top 5 python GUIs among all GUI libraries.

Also, read this article, if you want to know the reasons why to learn python.

Python GUI’s

1. Kivy

kivy

Kivy is an open-source Python library for the rapid development of applications that make use of innovative user interfaces, such as multitouch apps.

This framework is cross-platform and runs on Linux, Windows, OS X, Android, iOS, and Raspberry Pi. The graphics engine is built using a modem and fast graphics pipeline.

2. PyQT5

pyQt5

PyQt is a set of Python v2 and v3 bindings for The Qt Company’s Qt application framework and runs on all platforms supported by Qt, including Windows, OS X, Linux, iOS, and Android.

Also, this framework brings together the Qt C++ cross-platform application framework and the cross-platform interpreted language Python.

Qt is a cross-platform application development framework for desktop, embedded, and mobile. Also, it includes abstractions of network sockets, threads, Unicode, regular expressions, SQL databases, SVG, OpenGL, XML, a fully functional web browser, a help system, a multimedia framework, as well as a rich collection of GUI widgets.

3. Tkinter

Tkinter

Tkinter or Tk interface is Python’s de facto standard GUI (Graphical User Interface) package. This is an open-source framework and is available on platforms like Unix and Windows.

It is one of the simplest and most popular ways to build a GUI-based application in Python.

4. WxPython

WxPython is an open-source cross-platform GUI toolkit for Python. It is implemented as a set of Python extension modules that wrap GUI components of the popular wxWidgets cross-platform library, which is written in C++.

Also, with the help of this framework, developers can create native user interfaces for their Python applications that run on Windows, Macs, Linux, or other Unix-like systems.

Since the programming language is Python, wxPython programs are simple, easy to write, and easy to understand.

5. PySimpleGUI

PySimpleGUI is a GUI framework for Python that supports Python 3. It is simple to create custom GUIs with the help of this framework.

Currently, there are 4 actively developed and maintained “ports” of this framework which are tkinter which is fully complete, Qt using Pyside2 which is at the alpha stage, WxPython which is at the development stage and Remi (Web browser support) which is also at the development stage.

Closing Notes

Thanks, You made it to the end of the article. Good luck with your choice of your desired Python GUI! It’s certainly a great decision and will pay you a lot in the near future.

Please leave a comment if you enjoyed this article; also, please share it with your friends and colleagues; and don’t forget to follow tgeniusclub on Twitter, Facebook, and Instagram.

programming

6 best reasons why to learn python

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Python seems to be a futuristic programming language, and for good reason. With an exponentially growing community around data science, machine learning, AI, web dev, desktop development, Android development, and more. Python is a language that opens programming access to the world.

In the realm of server-side software languages, Python is considered easy to read, write, and learn. Also, it’s extremely scalable. The world’s largest companies run on it, and it’s also great for quick and simple prototypes.

The list goes on for why we think it’s a good idea to learn Python programming, whether you are new to coding or an experienced dev.

Although there are many reasons why to learn python, here are 6 major reasons why you should.

What is Python?

Python is a high-level programming language used for general-purpose software engineering. It’s a server-side language – which means it runs on the server and is responsible for processing the logic behind user inputs, interacting with databases and other servers, etc.

Python is an open-sourced language like Java, and, in recent years, has increased in popularity due to its use in data science.

Python also has a strong community around machine learning, data modeling, data analysis, and artificial intelligence (AI), with extensive resources and libraries built for these purposes.

Initially developed in the late 1980s by Guido Van Rossum. Python has been around for decades alongside other server-side languages like Java and C.

Van Rossum modeled Python after the English language, eliminating unnecessary syntax to make it easier to read and write than other programming languages.

And yes, the rumors are true. Python is named after the British comedy group Monty Python. Indeed, if you decide to learn Python, you will code with the strength of many men.

Reasons why to learn Python

What is Python used for?

To name a few, Python is used in Data Mining, Data Science, AI, Machine Learning, Web Development, Web Frameworks, Embedded Systems, Graphic Design applications, Gaming, Network development, Product development, Rapid Application Development, Testing, Automation, the list goes on.

Python is used as an easier and more efficiently-written alternative to languages like C, R, and Java, and is growing in popularity as the primary language for many applications. Python makes the technology world easier.

1. data science with python

Historically, the R programming language is most commonly used for data science, with a rich ecosystem of libraries for statistical analysis.

As Python code is considered easier to maintain and more scalable than R, Python has increased in popularity for data science – especially among professionals without advanced education in statistics or mathematical fields.

In the past few years, many packages have been developed for data analysis and machine learning using Python.

This includes NumPy and pandas, which allow users to understand and transform data; TensorFlow, which is used to code machine learning algorithms; and pyspark, an API for working with Spark – a framework for easily working with large data sets.

These libraries allow the average web developer to analyze large amounts of data without having to learn the intricacies of the more complex R.

Google also loves Python programming for its solutions. Peter Norvig, director of research at Google, said that Python has been an important part of Google since the beginning, and will remain so as the system grows and evolves. Today, dozens of Google engineers use Python, and we’re looking for more people with skills in this language.

2. Web Development

Another reason for learning Python is for development. It offers so many good libraries and frameworks, e.g. Django and Flask, which makes web development really easy.

A task that takes hours in PHP can be achieved in minutes in Python. Python is also used a lot for web scraping. Some of the popular websites on the Internet, like Reddit, are built using Python.

In fact, there is a free Python course on Udemy that will teach you that while teaching Python.

3. Simplicity

This is the single biggest reason for beginners to learn Python. When you first start with programming and coding, you don’t want to start with a programming language that has tough syntax and weird rules.

Python is both readable and simple. It is also easier to set up, you don’t need to deal with classpath problems like Java or compiler issues like C++.

Just install Python, and you are done. While installing, it will also ask you to add Python to your PATH, which means you can run Python from anywhere on your machine.

4. Huge Community

You need a community to learn new technology, and friends are your biggest asset when it comes to learning a programming language. You often get stuck with one or another issue and at that time you need a helping hand.

Thanks to Google, you can find the solution to any Python-related problem in minutes. Communities like StackOverflow also bring many Python experts together to help newcomers.

5. Libraries and Frameworks

One of the similarities between Python and Java is the sheer number of open-source libraries, frameworks, and modules available to do whatever you want to do. It makes application development really easy.

Just imagine creating a web application without Spring in Java or Django and Flask in Python. It makes your job simple, as you only need to focus on business logic.

Python has numerous libraries for different needs. Django and Flask are two of the most popular for web development, and NumPy and SciPy are for data science.

In fact, Python has one of the best collections of machine learning and data science libraries, like TensorFlow, Scikit-Learn, Keras, Pandas, and many more.

If you want to learn more about Python machine learning libraries, I suggest you join the Python for Data Science and Machine Learning Bootcamp course, one of my favorites.

6. Multipurpose

One of the things I like about Python is its Swiss Army knife nature. It’s not tied to just one thing, e.g., which is good in data science and machine learning but nowhere when it comes to web development. Learning Python means you can do many things.

You can create your web applications using Django and Flask, and can do data analysis using NumPy, Scipy, Scikit-Learn, and NLTK. You can create a desktop application using Kivy, Tkinter.

source: http://chris35wills.github.io/courses/pydata_stack.png

At a bare minimum, you can use Python to write scripts to automate many of your days to day tasks.

Closing Notes

Thanks, You made it to the end of the article… Good luck with your Python journey! It is certainly a great decision and will pay you a lot in the near future.

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