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    Python Course Overview

    What is Python?

    Whether you want to step into the world of programming or explore novel programming languages, Python programming is one of the recommended picks. It presents immense capabilities and is not so difficult to learn. Python is a high-level, object-oriented programming language with dynamic semantics.

    The python tutorial for beginners highlights the built-in data structures combined with dynamic binding and dynamic typing. Therefore, python programs are appealing for Rapid Application Development. Also, clearing the python basics with programming lets you make the most of Python's easy-to-learn syntax. Instead, learn python the hard way, you can learn python online by repeatedly trying its syntax.

    One of the prominent advantages of Python Programming is its interpretive nature. The Python standard library and Python interpreter are available in either binary or source form from the Python website. They can run flawlessly on all leading operating systems. Moreover, the Python Programming language is freely distributable.

    With the help of Python programming on a server, you can create web applications. It can be used together with software to design workflows. Once you become familiar with Python programming, you can perform complex mathematics.

    With this introduction to python programming and python basics, let’s move on to know the reasons to learn it.

    Why learn Python?

    After going through the introduction to python, the next important aspect is why to learn it. Well, programmers usually prefer working with Python due to the increased productivity it offers. When you aim to work on any python project, whether it's for python for beginners or advanced users, you must first be clear with the purpose. This implies that you must first clear the fundamentals of python by referring to the python tutorial for beginners.  So, after you learn python, you should have a clear perspective on why to learn python.


    The following points justify the reasons to learn python:

    • It lacks a compilation step, so the edit-test-debug cycle is quite fast.

    • Debugging Python programs is straightforward. The debugger is written within Python, which affirms Python's wistful power.

    • Python syntax is easy to learn and code and is very readable. The syntax has fewer lines of code than in other programming languages.

    • Python is beneficial for various applications like python for data science, developing web applications, rapid application development, etc.

    • It can seamlessly work on various platforms (like Windows, Linux, Mac, Raspberry Pi, etc.).

    • It runs on an interpreter system, so code can run as soon as it is written, which leads to rapid prototyping.

    • Python supports various popular libraries, including PyTorch, SymPy, Scikit-Learn, Pandas Python, PyBrain, TensorFlow, Matplotlib, etc.

    • Python Machine learning programs are prevalent due to the support for various Python machine learning libraries and simple syntax.

    The advantages of programming with Python

    • advantages of programming with pythonPython is easy to learn and read.

    • Beginners can conveniently get used to the programming pace.

    • Offers prompt development of prototypes.

    • Being a general-purpose language, it is useful in automation, big data, and data mining.

    • Applied to all leading working sectors.

    • With the support of all-encompassing frameworks and libraries, Python streamlines the development process.

    • With its worldwide existence, a massive community base has been developed, making it extremely simple to solve doubts and share solutions.

    • Continuous enhancements in Python let the user experience strengthen functionalities in every version.

    • Predicts itself as a sustainable programming language.

    • Lots of advancements are expected in the future, considering the huge interest of developers and recruiting companies.

    • Ample job opportunities for skilled candidates.

    How to Install Python?

    Python Installation on Windows:

    Once you install it on Windows, you can implement various python programs for practice. Before proceeding with python programming for beginners, you must know the installation procedure of Python, which consists of two parts:

    Download and Installation of Python for Windows from the official website

    Installing an IDE (PyCharm)

    Part-1: Downloading and Installing Python from the official website:

     Follow the below steps to download and install Python from the official website.

    Step-1: Firstly, open this link and click the ‘Download Python 3.7.2’ button.

    Step-2: In this step, you may be asked for a location to save your life. Choose a suitable location (you can create a new folder named Python-3.7.2 in a C drive and click on the ‘Save’ button.

    Step-3: Now double click the downloaded .exe file and choose the ‘Add Python 3.7’ to the PATH checkbox located below. This is to ascertain that it automatically gets added to the Windows Environment variable. If you don’t do that, you need to manually do it later. After the box is checked, you have to click on ‘Install Now’.

    Step-4: During the installation process, the pop-up will be shown to indicate the installation process is in progress.

    Step-5: After the setup completes, you will see a message on the screen. Simply click on the ‘Close’ button to complete the installation process.

    Step-6: Finally, once it is installed, open the Windows search bar and type Python. Consequently, you will find a desktop app ‘Python 3.7 (32-bit)’. So, click on that and a command prompt will be shown.

    Step-7: In the command prompt, you can write your first Python program, for example, print ‘Python Installation completed’.

     Part-2: Installing PyCharm:

    This part involves installing PyCharm, one of the most demanding Integrated Development environments among Python programmers. Follow the below steps:

     Step-1: Firstly, you need to download and install the Community edition of PyCharm from here. Now click on the ‘Download button’ present below the Community.

    Step-2: Just like we did in Part 1, we can choose the download location to save the life and then click on the downloaded .exe file. So, now you need to browse to the location where you prefer the installation of PyCharm IDE (the best python ide) and click on ‘Next’.

    Step-3: In this step, you can create a Desktop Shortcut if desired and choose a 32-bit/64-bit launcher, depending on your system’s processor.

    Step-4: Keep selecting JetBrains in the Start Menu Folder and click ‘Install’.

    Step-5: The installation process continues. Once completed, it will prompt with a message screen.  The screen will then show the Run PyCharm Community Edition box (related to jetbrains pycharm). Then click on the ‘Finish’ button.

    Step-6: Now, your Python IDE will launch.

    Python Installation on Mac:

    Prerequisites:

    • macOS

    • Log in as an administrator on terminal

    Follow the below steps:

    Step-1: Firstly, you have to check the python software version available on the system.

    Step-2: Type the below command in the command prompt window:
    $ python –version

    Step-3: Check what version it shows. (Usually, it shows 2.7.10 installed on your system, so you can proceed with installing Python 3.6.3)

    Step-4: To install python software 3.6.3, you need to download the latest version of Python from its official website. The file will then be downloaded in the .pkg format, and it can be downloaded directly through the Installer command.       
               

    Step-5: No mounting is needed if the downloaded file is in .pkg format. Now you can use the installer command to install Python 3.6.3.

    Type the following command in the command prompt:

    $sudo installer –pkg downloads/python-3.6.3-macosx10.6.pkg –target /

    Step-6: Note that because the installer is used with superuser permissions, the sudo forces the terminal to prompt the user to fill in the admin password. So, this process installs the Python 3.6.3 version to the root directory. This directory is mentioned with the target option.

    Step-7: In this step, you need to verify Python3. To check the Python version running on your system, use the below command:

     $python –version command.

    Python 3 Installation on CentOS:

    Prerequisites:

    • CentOS

    • Login as an administrator on the terminal

    • Yum should be configured on the system

     Follow the steps below:

    Step-1: Firstly, you need to install the IUS community Repository that offers extra packages for Enterprise Linux. Implement the below command to install the IUS community repository.

    $ sudo yum -y install

    Step-2: Now run the following command to install Python 3.6 on your CentOS system.

    $ sudo yum install python36u  

    Step-3: To verify the installed version of Python, type the below command on the terminal.

     

    python3.6 -V

    Getting Started with Python: Hello, World

    To get started with Python programming, you need to step in by creating a new Python project. One of the python basic programs is python hello world printing. It serves as one of the best python programs for practice. Follow these simple steps:

    • Firstly, you must create a new folder, ‘helloworld’.
    • Now launch the VS code and then open the helloworld folder.
    • Create a new app.py file, run the following code, and then save the file. 

    print('Hello, World!')

    Code language: Python (python)

    Note: print() is the built-in function that displays a message on the screen. For our python examples, it will show 'Hello, Word!'

    To run the app.py file, firstly, you need to launch the Command Prompt on Windows, Linux, or macOS.

    Navigate to the HelloWorld folder.

    Type the below command to run the app.py file:

    python app.py

    Code language: Python (python)

    If there are no errors in your code, you will see the below message on screen:

    Hello, World!

    Code language: Python

    Variables in Python

    Variable is a name used to refer to a memory location. The alternate name of the Python variable is an identifier, and it is used to store values. When programming in Python, you need not mention the variable type since Python is a infer language and is wise enough to determine the variable type.

    Note that variable names can be a group of both digits and letters. However, they must begin with an underscore or a letter. Moreover, it is recommended to use lowercase letters when naming a variable. For example, computers and computers are treated as two different variables. You can practice python by first clearing the concept of variables.

    How to declare a variable and assign values:

    Python doesn’t bind the users to declare a variable before using it. It lets you create a variable when required. It is not necessary to explicitly declare a variable in Python. The particular variable is automatically declared whenever we assign a value to the variable.

    The equal (=) operator assigns a value to a variable.

    Let’s understand with one of the python examples:

    print("System") 

    Output:       

    System

    You can also assign a value to a variable, for example,

    a = 10

    print(a") 

    Output:       

    a = 10

    Variable Names:

    By now, you will be familiar with how to declare a variable in Python. The variable names can have lower case, uppercase, digit, and underscore characters (_).

    Let’s consider the below example of the valid variable names:

    name = "John" 

    age = 25 

    marks = 75 

    print(name) 

    print(age) 

    print(marks) 

    Output:

    John

    25

    75

    Types of Python Variable:

    Python Variables are of two types:

    • Local Variable
    • Global Variable

    Local Variables:

    They are declared within the function and have scope in that function.

    Here is one of the python programming examples for local variables:

    def add(): 

    x = 10 

    y = 20 

    z = x + y 

    print("The sum is:", z) 

    add() 

    Output:

    The sum is: 30

    In this code, we have declared a function add() and assigned x and y variables in that function. Since these are local variables, they will have scope within this function only. If you attempt to use the exterior of the function, you will see an error.

    Let’s try to use the variables outside the scope of the function:

    add() 

    print(a) 

    Output:

    The sum is: 30

    print(a)

    NameError: name 'x' is not defined

    As seen from the above code, we get the NameError because the variable x is defined outside the function.

    Global Variables:

    Global variables have scope throughout the program. You can use them inside or outside the function.

    Any variable declared outside the function is by default considered the global variable. Python lets you declare the global variables using the global keyword inside the function. But if you don’t use the global keyword, that function considers it as a local variable.

    Here is one of the python programming examples for global variables:

    a = 50

      def mFunction(): 

    global a

    print(a) 

    a = 'Python programming ' 

    print(a) 

    mFunction() 

    print(a) 

    Output:

    50

    Python programming

    Python programming

    In the above code, we’ve declared a global variable ‘a’ and assigned a value to it. Subsequently, we defined a function and also accessed the declared variable through the global keyword within the function. It is possible to alter its value. Subsequently, we’ve assigned a new string value to the variable ‘a’. A function is called and then the print command is executed. Finally, it prints the value as a newly assigned value of ‘a’.

    Strings

    In Python, Strings are enclosed by either single or double quotation marks. So, ‘world’ is the same as “world”.

    The print() function is used to show a string literal.

    For example,

    print("Hi")

    Output:

    Hi

    How to assign a string to a variable:

    To assign a string to a variable, you can use a variable name followed by an equal sign and the string.

    For example, here is a simple python program to assign a string:

    Example

    a = "Hi"

    print(a)

    Multiline Strings:

    A variable can be assigned with a multiline string with the use of three quotes:

    Example:

    a = """I am happy

    print(a)

    Alternatively, you can use three single quotes:

    a = ‘’’I am happy

    print(a)

    In both the cases, the output is the same i.e. I am happy

    Using Strings as Arrays:

    Similar to several other popular programming languages, the Strings in Python can be used as arrays of bytes demonstrating unicode characters.

    Python doesn’t support a character data type, so a single character is merely a string with a length:1.

    You can use the square brackets to access elements of the string.

    For example, if you want to obtain the character at position 1 of the string then Strings as Arrays can be used as,

    x = "Dear Students!"

    print(x[1])

    Output:

    e

    String Length:

    Use the len() function to obtain the length of the string:

    x = "Students"

    print(len(x))

    Output:

    8

    Check String:

    If you want to check if a specific phrase or character is available in a string then you need to use the ‘in’ keyword.

    In the following example code, we will check if ‘old’ is present in the following text or not:

    txt = "Old is Gold!"

    print("Old" in txt)

    Syntax

    You can implement Python syntax by directly writing in the Command Line. Here is a simple python program to do that.

    >>> print("Good Morning!")

    Output:

    Good Morning!

    Alternatively, you can create a python file on the server, through the .py file extension, and execute it in the Command Line:

    C:\Users\Your Name>python newfile.py   
                            

    Lists

    Lists in Python are used to store multiple items within a single variable. They are created with the help of square brackets:

    Example of python list: 

    newlist = ["rose", "sunflower", "daisy"]

    print(newlist)

    Output:

    "rose", "sunflower", "daisy"

    Unique characteristics of Python List:

    • List items are changeable, ordered, and allow duplicate values.
    • In Python, List items are indexed; the first item denotes index [0], the second item denotes index [1], etc.

    List Length:

    To find out a number of items a list has, you can use the len() function:

    The following example prints the number of items in the list:

    newlist = ["rose", "sunflower", "daisy"]

    print(len(newlist))

    Output:

    3

    Tuples

    Tuples in Python store multiple items in a single variable. Essentially, a tuple is an ordered and unchangeable collection.

    They are written with round brackets.

    Example to create a Tuple in Python:

    newtuple = ("rose", "sunflower", "daisy")

    print(newtuple)

    Unique characteristics of Tuples in Python:

    • Tuple items are unchangeable, ordered, and allow duplicate values.
    • Tuple items are indexed; the first item denotes index [0], the second item denotes index [1], and so on.

     Dictionary:      

    Dictionaries store data values in key: value pairs. In other words, a dictionary is a collection that is changeable, ordered, and doesn’t permit duplicates. They are written in curly brackets.

    Example to create and print a dictionary in Python:

    mydict = {

      "flower": "Rose",

      "color": "Red",

    }

    print(mydict)  

    Output:

    {'flower': 'Rose', 'color': 'Red'}

     Conditional Statements in Python:

    List of Conditional Statements in Python:

    Python If statement

    Python If…else statements

    Python Nested if statements

    Python If-elif ladder

    Python Short hand if statements

    Python Short hand if-else statements

    Now let’s understand each of them:

    Python If statement:

    It denotes the simple decision-making statement. In it, when you run some lines of code, a block of statement will execute if the condition is true else it will not be executed.

    Syntax:

    if (condition):

    # if block

    Python If…else statements:

    In the If..else statement, there are two blocks. If the condition is false, the statements in the else condition are executed.

    Syntax:

    if(condition):

    # if block

    else:

    # else block

    Python Nested if statements:

    In Nested if statements, an if statement includes another if statement. This conditional statement is useful to check another condition within a condition. You can use it to check multiple conditions in a specific program.

    Syntax:

    If (condition1):

    #statement to be executed if condition is true

    If (condition2):

         # statement to be executed if condition is true

    #end of nested if(condition2)

    #end of if

    #end of if (condition1)

    Python If-elif ladder:

    This condition statement is stepwise executed from top to bottom. When the if condition is true, then the if block will be executed else not. Subsequently, it checks if the elif condition is true then it would be executed else not. Finally, if none of the conditions are true, the statements in the else block will be executed.

    Syntax:

    if(condition):

    #statement to execute if condition is true

    elif(condition):

    #statement to be executed if condition is false and elif is true

    elif(condition):

    #statement to be executed if both conditions are false and this elif condition is true

    .

    . else:

    #statement to execute when all the conditions are false

     Python Short hand if statements:

    The alternate name is ‘one line statement’. In python, you can write an if statement, if else statement, and elif statement in a single line without indentation. You can use a short hand if statement if a single line statement needs to be executed.

    Syntax:

    If condition: statement               

    Python Short hand if else statements:

    This statement is helpful to write if else in a single line.

     Syntax:

    if (condition): # if statement

    else: #else statement

    Loops      

    A loop statement executes a statement or collection of statements multiple times. Three types of loops in Python are for loop, while loop, and nested loop.

    for loop:

    It executes a series of statements multiple times and condenses the code that deals with the loop variable.

    while loop:

    It iterates a statement or collection of statements while a given condition is ‘True’. Before executing the loop body, it tests the condition.

    nested loops:

    You can use a single or multiple loops into any other for, while, or do..while loop.

    Functions and Lambdas

    A lambda function in Python is a tiny anonymous function. It can accept any number of arguments; however, it has only one expression.

     

    Syntax:

    lambda arguments : expression

    As per the syntax, the expression is executed and the result will be returned as,

    lambda y: y

     

    The expression includes lambda as a keyword, y as a bound variable, and y as a body.

    Here is one of the python code examples for Lambda Function:

    Let’s add 5 to argument y, and return the result:

    x = lambda y : y + 7

    print(x(5))

     

    Output: 12   

    Objects and Classes

    Python projects for beginners usually include the concepts of Objects and Classes. The Python classes and objects are fundamental concepts one must learn. Since Python is an object-oriented programming language, everything in this environment is an object along with its methods and properties.

     A Class behaves as an object constructor or an outline for creating objects.

     

    How to create a Class in Python:

    The keyword class helps to create a class.

     

    Here is one of the python code examples for creating a class named MyClass, with a property named x: 

     

    class NewClass:

      a = 10

    Here, the NewClass is the class name and its property is named ‘a’.

     

     

    How to create an Object in Python:

    You can use NewClass to create objects:

    Example:

    Creating an object named m1, and print the value of a:

    m1 = NewClass()

    print(m1.x)

     

    Output: 10

    Sets and mutability

    Python sets are mutable since we can add and delete elements into a set. However, sets can't hold mutable items.

    So, the following code shows an error because the set internally uses a hashtable to store its elements. Hence, the particular set of elements must be hashable

    Example code:

    s = set([[1,2],[3,4,]])

     

    Example of a mutable set in Python:

    new_set = {1,2,3}

    print(new_set)

    print(id(new_set))

    >>> {1, 2, 3}

    >>> 2688892018248

    Modules, Packages, and organizing python files

    Packages and Modules are not intended to extend your Python code over multiple directories and source files. They let you organise your code to reveal the logical structure of the thing your program attempts to do.

     3 ways to define a module in Python:module in Python

    • Writing a module in Python itself.

    • Writing a module in C and dynamically loaded at run-time, similar to the re (regular expression) module.

    • A built-in module is intrinsically confined in the interpreter, similar to the itertools module.

    Note: In all these 3 ways, the contents of a module are accessed identically, using the import statement.

    Python Packages:


    For instance, you developed a huge application encompassing several modules. With the increase in the number of modules, it gets tough to track each of them if they are included in one location. Specifically, this is perceptible if they have identical functionality or names. So, organising them is important.


    Packages in Python facilitate hierarchical organising of the module namespace with the dot notation. Just the way modules help prevent collisions among global variable names, packages too prevent collisions among module names.


    It is quite easy to create a package because it utilises the built-in hierarchical file structure of the operating system. Consider the following arrangement. The package organisation can be like a directory named pkg with modules namely mod1.py, mod2.py, and mod3.py.


    How to Create and Run a Python Program

    A Python interpreter assists in running the Python scripts. It is a fragment of software working between computer hardware and the Python program.

    Various ways to run Python scripts:Various ways to run the Python Script

    • Operating system command-line or terminal

    • IDE or Text editor

    • Python interactive mode

    • The file manager of the system

     Let’s understand how to run a Python program using the operating system command-line or Terminal:

    In the Python shell, after we shut down the session, we would lose the entire code that we wrote. Hence, it is recommended to write Python code through plain text files. Note that the text file should be saved as a .py extension.

    Here is the example of running a Python program in a Notepad file and saving it as an example.py in the working directory,

    print(“Programming in Python”)

     

    Now, it’s time to execute this file through the command line.

    Steps to run it:

    Open the command terminal.

    Type the python followed by the file name to be executed. Press the Enter key. (In our example, it needs to be written as python example.py)

    If the file is error-free, the Output is as below:

    Programming in Python

    Data Structures

    Data Structures with Python allow data organisation that helps in efficient access when required.

    Types of Data Structures with Python:

    • Linear Data Structures

    • Non-Linear Data Structures

    • Python Specific Data Structures

     Linear Data Structures:

    They store the data elements sequentially. Here are the types of Linear Data Structures:

    • Array

    • Python Stack

    • Linked List

    • Queue

    • Matrix

    Non-Linear Data Structures:

    No sequential linking of the data elements exists in these data structures. Any group or pair of data elements can be connected to each other and also can be accessed without any strict sequence to be followed. Here are the types of Non-Linear Data Structures:

     

    • Binary Tree

    • Hash Table

    • Heap

    • Graph

     Python Specific Data Structures:

    They are specific to the python language. They provide excellent flexibility in holding various types of data and result in fast processing.

    Here are the types of Python Specific Data Structures:

    Tuple

    List

    Dictionary

    File Handling

    Files help you to store data temporarily and permanently. In simple terms, a file is the assortment of data saved on a disk in a single unit recognized by a filename.

    Python contains various functions for file handling that includes reading, creating, updating, and deleting files.

    The key function for File Handling in Python is the open() function. This function accepts two parameters i.e. filename and mode.

    Python Features

    • High-Level Language:

    When writing programs in Python, you need neither to remember the system architecture nor manage the memory.

    • Free and Open Source:

    It is free to download Python from its official website. Being open-source, the source code is available to the public as well. Hence, you can download it, use it, and share it.

    • Ease of python coding:

    This high-level programming language is easier to learn compared to other programming languages like Java, JavaScript, C, etc. Also, it is developer-friendly.

    • Object-Oriented Language:

    One of the prominent features of Python is object-oriented programming. It also supports concepts of object encapsulation, python classes, etc.

    • Scalable:

    Python presents enhanced structure and support for big programs compared to shell scripting.

    • GUI Programming Support:

    GUI can be prepared using a module like PyQt4, PyQt5, Tk, or wxPython in python. Remember that PyQt5 is the most famous option for developing graphical apps in Python.

    • Extensible feature:

    Being extensible, you can write certain Python code into C or C++ language. Also, you can compile that code in the C/C++ language.

    • Portability:

    If you have Python code for Windows and are willing to execute this code on some other platforms like Unix, Linux, and Mac then you need not change it. You can execute this code on any platform.

    • Integrated language:

    You can effortlessly integrate Python with other languages such as C, C++, etc.

    • Interpreted Language:

    The reason why Python is termed an Interpreted Language is that Python code is executed line-by-line at a time. No need to compile Python code suggests that it is simpler to debug your code. Python’s source code is transformed into an immediate form known as bytecode.

    • Vast Standard Library:

     Python boasts a vast standard library presenting a powerful set of functions and modules. Hence, you need not write your own code for each thing. Several libraries exist like unit-testing, regular expressions, web browsers, etc.

    • Dynamically Typed Language:

    In Python, the type for a variable (example: long, double, int, etc.) is determined at run time. So, you need not mention the type of variable.python features

    Who uses Python

    Currently, there are approx. 1 million Python users. This estimate is dependent on different statistics like web statistics, download rates, and developer surveys.

    Data Scientists extensively use Python for computing huge amounts of data and deriving data from huge libraries and databases. Specifically, it is useful for those programmers/developers who excel in machine learning. The reason Python can access machine learning frameworks for people working with AI.

    Python is extensively used in academic research, biology, bioinformatics, and mathematics. Furthermore, it is the standard preliminary language for several university computer science programs.

    The following table shows the use of Python for different user bases:

    User Base

    Use of Python

    Google

    web search systems

    YouTube

    Writing its library

    Netflix

    Software architectures

    Dropbox storage service

    For python coding its server and desktop client software

    BitTorrent peer-to-peer file-sharing system

    Started its life with Python programming

    Raspberry Pi single-board computer

    Endorses Python as its educational language

    print is considered as a statement and not a function.

    print is considered a function and not a statement.

    EVE Online

    For the development of online games

    iRobot

    Develop military and commercial robotic devices

    Companies like Cisco, Intel, Hewlett-Packard, Qualcomm, IBM, and Seagate

    For hardware testing

    Companies like UBS, JPMorgan Chase, Getco, and Citadel

    For financial market forecasting

    Companies like NASA, Fermilab, Los Alamos, JPL, etc.

     

    For scientific programming tasks

    Spotify  

    For analytics and backend

    Why online Python Course is better than Offline Python Course?

    The python online course is better than the python offline course based on the following points:

    • The python online course outline gives you a glimpse of how Python will be and accordingly, you can decide whether to proceed further or not. On the other hand, in an offline course, you don’t have the option to get an overview of the course and then decide whether to continue or not.
    • In online mode, the python training is delivered as per the existing industry standards. The same facilitates candidates to land their dream jobs in leading companies by showcasing their python certification.
    • In addition to theoretical teaching, the online python certification course also imparts practical knowledge via live project training. As a result, along with the advantage of learn python free, candidates get practical exposure to how Python works.
    • The best python course in online approach also offers placement assistance to every candidate. So, candidates can increase their odds of getting hired and they can know how to prepare and crack the job interviews.
    • Python courses online are designed to provide in-depth knowledge of Python by covering all modules.
    • When you opt for a python online course, you can save your travelling time which you can invest in learning other topics of Python.
    • The online free python course with certificate lets you refer to the videos and class recordings anytime. No specific time-bound on learning.

    In online Python courses, the python certification is only offered when candidates pass the minimum criteria (being selected by the respective online platform) of the quiz. Therefore, it assures that the certified candidates are quite knowledgeable in Python.

    Python Course Syllabus

    All the top python courses usually include the following modules in their syllabus.  The mentioned modules are important to consider in any python courses or courses related to python.

    • Introduction to python programming
    • Python Fundamentals
    • Python data types and variables
    • String objects and collection
    • Operators in Python
    • Python Namespace
    • List, tuples, set, and dictionaries
    • Decision-making loops in python
    • Modules and Functions
    • Object-oriented programming in python
    • Python Multithreading
    • Python sending Mail
    • File handling
    • Errors and Exception Handling in Python
    • Accessing data from multiple sources
    • Data Structures
    • Python GUI Programming
    • Collections
    • Python SQL Database Access
    • Reg Expressions
    • Network Programming
    • Threads Essential
    • Accessing API Essential
    • DJANGO

    Projecting Python Industry Growth in 2022-23

    Python is being used in the data analytics industry and in that, and its market value is more than $10 billion. Owing to the companies prioritising data analytics to gain more profits, speedier turnover cycles, etc., more seats will be vacant in 2022-23 to be filled up by the Python Developers. The same is already apparent in the top companies that use Python like Google, AWS, etc. Therefore, the widespread usage of Python in Data Science symbolises its future scope.

    The global Network Networking-as-a-Service (NaaS) market noted a value of over $8 billion in 2020. This market value is anticipated to surpass $45 billion by 2026. With the help of Python, it is possible to perform various networking tasks cost-effectively. These tasks can be writing, reading, and configuring switches and routers, and accomplishing other networking automation. Python entails various libraries for networking like Netmiko, Ansible, PySNMP, etc.
    Python trends for 2022-23
    Looking at the Python development trends for 2022-23, it will be widely used in the following sectors:

    • Data Science
    • Artificial Intelligence
    • Web Development
    • Machine Learning
    • Business Application
    • Embedded Application
    • Game Development

    The Accelerating Demand for the Python Courses in India

    There are myriad opportunities for fresher’s to land a career in Python. Companies are on the lookout to hire skilled Python specialists. For the same, they prioritise hiring those candidates who have appeared for any of the reliable python courses with certification.  This is because undergoing a Python course with certification demonstrates your solid base in Python fundamentals and programming.

    The python free courses are in-demand in India because without spending anything, candidates can get enough fundamental knowledge of Python.  Whether candidates choose python courses online free or paid for Python courses, they can demonstrate their Python knowledge with confidence.

    Completing a Python course unlocks job opportunities for job roles like Research Analysts, DevOps Engineers, Python developers, Data Analysts, and Software developers in India. All these job roles in leading companies in India offer promising pay.

    Python Specialist Salary in India

    The average salary for Python Specialists in India is INR 3,88,489 per year

    Factors on which a Python Specialist salary in India depends

    The salary of a Python Specialist in India can differ based on several factors. In this section, we outline a few factors:

    • Salary based on location
    •  Salary based on job titles
    •  Salary based on experience

    1. Salary based on job location:

    Highest paying cities in India for Python Specialists:

    Job location

    Average Salary (per annum)

    Bengaluru, Karnataka

    INR 9,18,442

    Hyderabad, Telangana

    INR 7,97,149

    Mumbai, Maharashtra

    INR 7,48,681

    New Delhi

    INR 7,30,920

    Gurgaon, Haryana

    INR 7,26,547

    Pune, Maharashtra

    INR 7,13,724

    Chennai, Tamil Nadu

    INR 6,08,892

    Ahmedabad, Gujarat

    INR 4,34,865

    Source: Indeed

    2. Salary based on job titles:

    Job titles

    Average Salary (per annum)

    Data Scientists

    INR 698,413

    Machine Learning Engineer

    INR 671,548

    Python Web Developer

    INR 309,161

     3. Salary based on experience:

    Job titles

    Average Salary (per annum)

    <1 year

    INR 2,40,000

    1-4 years

    INR 8,00,000

    4-8 years

    INR 11,50,000

    Python Specialist Starting Salary in India:

    The starting salary for Python Specialists in India is INR 2,40,000 per year.

    Python Specialist Salary Abroad

    According to Glassdoor, a Python developer has an average annual income of £58,386.

    The average salary for Python Specialists is$115,316 per year in the US,$75,581 per year in Canada, and 48,458 Euros in Germany.

    Factors on which a Python Specialist Abroad salary depends

    The salary of a Python Specialist abroad varies according to several factors. Let’s check out the details of those factors:

    •         Salary based on Employer
    •         Salary based on Job location

     1. Salary based on Employer:

    Employer

    Average Salary  (per annum)

    Selby Jennings

    $245,862

    NCS

    $180,494

    Stefanini IT Solution

    $156,538

    Bank of America

    $154,818

    DISYS

    $145,738

     Source: Indeed

    2. Salary based on Job location:

    Job location

    Average Salary  (per annum)

    New York, NY

    $147,909

    San Jose, CA

    $133,404

    Austin, TX

    $130,990

    San Diego, CA

    $126,613

    Columbus, OH

    $119,539

    Dallas, TX

    $118,901

    Los Angeles, CA

    $118,816

    Washington, DC

    $114,960

    Providence, RI

    $109,736

     Source: Indeed

    Python Specialist Starting Salary Abroad:

    The starting salary for Python Specialists Abroad is $56,936.

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    Frequently Asked Questions about Python

    How is the name ‘Python’ coined?

    When Guido van Rossum started implementing Python, he was reading the published scripts from “Monty Python’s Flying Circus”, which is a BBC comedy series from the 1970s era. He thought that the name must be unique, concise, and a bit mysterious. Hence, he decided to name the language ‘Python’.

    How to obtain documentation on Python?

    The standard documentation for Python’s existing stable version is available here. You can get plain text, PDF, and downloadable HTML versions from here. This documentation is written in the reStructuredText and is processed by the Sphinx documentation tool.

    How to generate random numbers in Python?

    You can use the randint() function to generate a random number in Python. Its example is:

    import random

    print(random.randint(0,8))

    Which GUI toolkits exist for Python?

    GUI toolkits available for Python are Tkinter, Kivy, Gtk+, and wxWidgets.

    Why are Python Programmers in huge demand?

    Python is designed to be effortlessly extended to fulfil specific needs using high-level libraries and frameworks. Some of the proven web development frameworks, such as Flask and Django, efficiently streamline website and web app production. Therefore, Python has become a leading choice among firms that develop these sites. Python skills are required for the cutting-edge website and web app development, leading to a huge demand for Python programmers.

    What job profiles you can expect with Python programming skills?

    With Python programming skills, you can expect a job in positions like Software Engineer, Python Developer, Data Analyst, Research Analyst, Data Scientist, and Software Developer.

    How is Python programming language useful?

    This computer programming language is extensively used to develop websites and software, analyse data, and automate tasks. Programmers can use Python to build a wide range of products as a general-purpose language. The beginner-friendliness and versatility justify its usefulness.

    What is IDE, and which are some of the best IDE for Python programming?

    A code editor is a tool used to write and edit code. IDE is used to write and edit code. For application development, Python programmers can use its valuable features like syntax highlighting, syntax checking, code hinting, file explorers, etc. Some of the best IDEs for Python programming are IDLE, Sublime Text 3, Thonny, Atom, PyCharm, Vim, Visual Studio Code, and Spyder.

    Where are Python programs written and run?

    Candidates can apply any text editing software to run a Python program and save it with the .py extension. However, the use of an IDE can simplify writing codes in Python. When you open an IDE, for example, IDLE, you will see an interactive Python Shell opened up. You can make a new file and the shell and save it with a .py extension, for example, ‘myfile.py’. Now write Python code in that file and save it. If you want to run the file, navigate Run > Run Module or click F5.

    Does learning Python need prior coding experience?

    No, you can learn Python programming without any programming experience. This programming language is popular for being easy to use and presenting an intuitive interface. Python is considered the perfect programming language for those without any coding experience.

    How much time does it take to learn Python?

    On average, it can take 5 to 10 weeks to learn the basics of Python programming. It will cover the basics of Python, object-oriented programming, fundamental Python syntax, variables, data types, loops, and functions. The time it takes to learn this programming language relies on your experience with web development, programming languages, data science, and other associated fields.

    Is learning Python difficult for beginners?

    Python is a beginner-friendly programming language. It is easy to understand, use, and prioritises readability. Python syntax has some similarities with the English language. So, beginners can easily understand it and gradually practise it. Being a flexible and dynamically typed language, its rules are not difficult to understand.  Moreover, it operates with a low level of errors.

    Can I learn Python on my own?

    Yes, with the help of online Python courses, study material, and other commonly available resources, it is easy to learn Python on your own. Python courses are available for both beginners and experienced programmers. Also, these courses offer opportunities to get hands-on coding experience. The data science course and coding boot camps are also popular options for individuals willing to learn Python independently.

    Is learning Python advantageous in 2022?

    Yes, learning Python is worthwhile in 2022 because some of the trendiest fields in technology like artificial intelligence and machine learning hugely depend on programmers with Python skills.

    With the famous ML libraries like Scikit-learn and Pandas, Python language is preferred in machine learning, data analysis, and data science. The demand for machine learning professionals is continuously growing. The machine learning jobs are expected to be worth $31 billion by 2024. Python’s versatility, applications, and function make it valuable for various job roles.

    Do I need to be proficient in Maths to learn Python?

    You don’t need to be highly skilled at Maths to learn Python. However, high school-level knowledge of Maths helps learn Python. A recent study demonstrated that analytical and communication skills are more significant than math skills when the matter comes to coding in Python.

    Should I learn Python 2 or Python 3?

    Employers prioritise Python programmers with proficiency in Python 3. Python 2 uses an obsolete syntax and finds its applications in DevOps. Python 2 is no longer supported, which means the security vulnerabilities will not be patched.

    One of the key benefits of using Python 3 is its syntax. The commands built into Python 3 prove to be more user-friendly to programmers. Other reasons that justify the use of Python 3 over Python 2 are more precise integer division, its forwards-compatible libraries, and the potential to denote foreign languages and famous emojis with Unicode.