Showing posts with label python learns. Show all posts
Showing posts with label python learns. Show all posts

Functions in Python

A function is a block of statements in which instruction is given to perform a particular task. It provides code reusability. They provide better modularity of the program. Python has a number of built-in functions and we can have a user-defined function also in it. Functions in Python, we have three parts:


1) Function Declaration
2) Definition
3) Calling

Functions in Python

A function declaration is done first before giving the code to be performed. There is some rule for function definition

1) There is a keyword def followed by the function name and ()
2) The argument and parameter are given in ()
3) Colon: will be used for indentation
4) The first statement of the function is an optional statement in which the documentation string or the docstring
5) The return statement exit the function and the return without argument will be similar to return none

Function definition in Python Programming will be code which we have to run to get the required output. Function calls can be done in two ways

1) Call by value
2) Call by reference

TYPES OF FUNCTION with Few Functions Example:

1) Function with no argument and no return value
2) Function with no argument and with return value
3) Function with argument and no return value
4) Function with argument and with return value

Function Argument:

1) Keyworded
2) Default
3) Variable-length argument
4) Required Argument

The Anonymous Functions:

These functions are called anonymous because they are not declared in the standard manner by using the def keyword. You can use the lambda keyword to create small anonymous functions. For more details visit Python Training Institutes in Pune.

Lambda forms can take any number of arguments but return just one value in the form of an expression. They cannot contain commands or multiple expressions.

An anonymous function cannot be a direct call to print because lambda requires an expression. Lambda functions have their own local namespace and cannot access variables other than those in their parameter list and those in the global namespace.

Although it appears that lambdas are a one-line version of a function, they are not equivalent to inline statements in C or C++, whose purpose is bypassing function stack allocation during invocation for performance reasons.


Built-In Function in Python:

1) Print()-to print any value or anything on the screen
2) Abs()-Return the absolute value of a numeric value
3) Round()-Return the rounded value of a numeric value
4) Max()-return the largest item
5) Sorted()-it will sort in ascending order
6) Len()-give the number of elements in the list or number of characters of the string
7) Type()-give the type of variable
8) Zip()-create the tuples of variable
9) Chr()-return the string representing the character whose Unicode point is the integer given in ()
10) Filter()-Give an iterator for the element of inerrable for which the function give true

How long will it take to learn the Selenium tool?

Selenium is a software used for software testing and is a free (open source) automated the testing tool, a combination of tool and a domain-specific language (DSL). Focused on automating web-based applications. To complete selenium successfully, require some programming language like Java, C#, Python, C, Perl, etc. (no need to learn all languages, only one require)

Selenium has grown tremendously and has become one of the most integral parts of various businesses. When it comes to web testing tools, Selenium has surely become one of the best in the industry to help you with automation testing services.

Selenium is having a wider scope in the future as tools are emerging to make and supports Linux, Windows, and OSX. The job opportunities in selenium testing will be available at all times for skilled and training professionals.

The rise in web components with the blocking of APIs by Mozilla, Chrome, and Edge has literally enhanced the use of testing tools. Being the poster boy, the use of Selenium has seen around 300% growth in terms of the job posting in the last 3 years.

As the number of companies has started to use web applications the need for Selenium is shooting up. You will find a number of vendor tool providers are making use of Selenium technology which can help with web application testing. Selenium has experienced good growth in a short period of time and this has boosted the market for test automation.

The clients will be able to receive ROI quicker as the testing cycles get lesser with the use of Selenium. So, as automation test experts, one must have a complete understanding of the domain on the specific application they are working upon. Below mentioned are some of the popular job roles you can consider to work as a Selenium WebDriver professional, take a look:

·        Automation Test Lead

·        Senior Test Engineer

·        Quality Engineer

·        Selenium Automation Analyst

·        QA Engineer

The most interesting part is the industry has experienced a humongous surge in creating job opportunities with very exciting packages. So, you must take the assistance of experts and get yourself qualified enough to make the best of the respective opportunities.

In the present scenario of the IT industry, Selenium is the perfect option for automated website testing. It is being popular with its use rising at a rapid pace as time goes on. It is the first preferred choice of automation testers as well as companies for automating the web-based application testing for both GUI as well as the functionality.

If you are interested in learning Selenium Automation Testing then I would recommend you to enrol in Technogeeks training program by working IT professionals with hands-on projects to get best practice for it.

Is Python programming used in artificial intelligence?

 Over the years, choosing the best programming languages between a variety of languages is one of the current debates between programmers. However, your preferred language is undoubtedly the one which you are most comfortable to access and enables you to get the job done efficiently. And one such programming language is Python.



Python comes up with a considerable number of inbuilt libraries that influenced the fact that Python is quickly spreading in the area of AI. The extensive range of frameworks and libraries for Artificial Intelligence and Machine Learning, making it the most preferred language for artificial intelligence development companies. Some of the popular libraries are TensorFlow, Pylearn2, Scikit learns, and the list keeps going.

Secondly, Python is known for its robust, easy implementation and large community. Even programmers with basic knowledge can access this language and do wonders.

AI and ML are seeping into nearly every aspect of our lives, helping us in ways that augment our abilities and make us better at what we do. For instance, voice assistants such as Alexa, Google Assistant, Siri, and Cortana are transforming the way we work, study, and entertain ourselves.

AL and ML solutions are intelligent, i.e. they are different from traditional software applications. The focus here is more on in-depth research, data collection, and predictive analysis. Consequently, the language to be used here should be stable, flexible, and have a variety of tools.

One language that holds a special place among all is Python. Python programming language is among developers’ favourite languages for AI and ML development because of its simplicity, shorter development time, consistent syntax, platform independence and access to a huge set of libraries. (Reasons are discussed in detail in the later section)

When you code with Python programming language, you get a well-structured & tested environment where you can quickly turn your ideas into action. Also, it takes less coding and time to solve complex computational problems.

Moreover, as you get closer to understanding and working with Python app development, you will find it easy to handle massive amounts of data (i.e. data analysis and parsing required for AL and ML work well with Python, and its libraries).

AI and ML have a profound effect in the world we live in, with new solutions coming up day after day. Enterprises have realized that there is no better time than now to invest in these technologies. With its amazing set of libraries, simple & clean coding format, fast prototyping, outstanding flexibility, and huge community support, Python makes the development process of AI and ML-based projects a lot easier, fast, and budget-friendly.

If you are looking to learn python with hand-on training then I would recommend you to take a look in Technogeeks AI with the Python program by working IT professionals.

Why is Python considered a good language for AI and Machine Learning?

Python has enjoyed a steady rise to fame over recent years and is now jostling for the position of one of the most popular programming languages in the world. Favoured for applications ranging from web development to scripting and process automation, Python is quickly becoming the top choice among developers for artificial intelligence (AI), machine learning, and deep learning projects.

The high-level, robust programming language focuses on rapid application development. The core functionality has helped Python become one of the fastest-growing programming languages. Here are top reasons why developers and companies working on emerging technologies including AI, and ML tend to choose Python.


Simple code structure:

Python focuses on reducing the number of lines of code that you write to execute a function. The language simplifies the code and makes it readable. The combination of Python and AI will help in reducing the size of code that developers write. The language, if used with AI and ML algorithms, will make it easier to reduce the quantity of code.

Vast Community:

Python is well-known for its extremely vast community. Since its release, the community is contributing largely and which is the reason a Python user never feels abandoned with sudden changes. The constant upgrade by the developer community support makes Python one of the most suitable languages for machine learning applications. Large organisations such as Google, Amazon, Facebook, etc. are using this language.

Frameworks & Libraries:

One thing the developers like most about Python is the abundance of open source libraries and frameworks. The language has a great number of machine learning libraries and some of the prominent libraries are such as TensorFlow, Pytorch, Matplotlib, SciKit Learn, etc. Python has a collection as well as code stack of various open-source repositories in almost every domain such as Django for integrating web applications, pandas for machine learning, SciPy for scientific computing, Librosa for audio, OpenCV for images, NumPy for text, etc. Other commonly used libraries for artificial intelligence and machine learning are such as pyDatalog (Logic Programming engine in Python), PyML (the bilateral framework is written in Python that focuses on SVMs and other kernels methods), EasyAI (Simple Python engine for two-players games with AI), PyBrain (simple and effective algorithm for ML tasks), AIMA (Python implementation of algorithms), simple, etc.

If you are interested in learning AI with Python then I would recommend you to enrol in Tehcnogeeks Artificial Intelligence with Python the program under a working IT professional with hands-on projects.

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Python is broadly used in the day by day operations of Google, NASA, New York Stock Exchange and our favorite video-sharing website, YouTube. Not just in the enterprise massive shots, Python is considerably used even in business, authorities and non-government organizations too.



As Python is an open-supply programming language, it's miles free of cost and allows unrestricted use. With this open-source license, it is able to be modified, redistributed and used commercially. The license is available even for whole source code with price unfastened help. CPython, the maximum broadly used implementation of Python, may be utilized in all operating structures. Being the properly designed, robust software with scalable and portable abilities has come to be an extensively used programming language. 

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