About Course

Python is a popular self-paced course designed to give newcomers a good overview of the language including the Python basics for writing programs, how to create algorithms, how to test and debug Python code and the fundamentals of data structures.
This course is a great introduction to both fundamental programming concepts and the Python programming language. It is an excellent programming language for web development and other top institutions use Python in their data science and research courses as well as in introductory computer science courses.

Python is an interpreted, general-purpose programming language, Object-oriented, and also a high-level language with dynamic semantics. It is a high-level built-in statistics structure, mixed with dynamic binding, dynamic typing and, make it very desirable for Rapid Application Development, additionally as to be used as a scripting language to connect existing components together. Python's simple, effortless to find out syntax emphasizes readability and accordingly reduces the fee of application maintenance. Python helps modules and packages, which evokes program modularity and code reuse. The Python interpreter and therefore the sizeable popular library is available in source or binary form for free of cost for all principal platforms and may also be freely dispensed on the internet.

The Python was conceived in the late 1980s as a successor to the ABC language. Python 2.0, launched in 2000, added points like list comprehensions and a garbage collection system successful of accumulating reference cycles. Python 3.0, released in 2008, used to be a principal revision of the language that is no longer totally backward-compatible, and a whole lot of Python 2 code does no longer runs unmodified on Python 3.

Often, programmers fall crazy with Python due to the extended productivity it provides. Since there is no compilation step, the edit-test-debug cycle is distinctly fast. Debugging Python packages is easy: a computer virus or horrific enter will in no way motive a segmentation fault. Instead, when the interpreter discovers a mistake, it raises an exception. When the software doesn't seize the exception, the interpreter prints a stack trace.

The source-level debuggers permit inspection of global and local variables, setting breakpoints comparison of arbitrary expressions, stepping through the code a line at a time, and so on. The debuggers is coded in Python itself, testifying to Python's introspective power. On the contrary hand, regularly the quickest thanks to debugging a program are to function a couple of print statements to the source: the fast edit-test-debug cycle makes this convenient strategy very effective.

Python is dynamically typed and garbage-collected. It helps a couple of programming paradigms, including procedural, object-oriented, and useful programming. Python is frequently described as a "batteries included" language due to its comprehensive widespread library.

7 Important Reasons Why You Should Use Python

  1. Readable and Maintainable Code

    While writing a software program application, you desire to specialise in the popular of its ASCII textual content file to simplify renovation and updates. The syntax rules of Python allow you to unique standards except writing extra code. At an equivalent time, Python, unlike other programming languages, emphasizes code readability and lets in you to use English key phrases rather than punctuations. Hence, you'll use Python to create custom applications besides writing additional code. The readable and clean code base will assist you to take care of and update the software program except placing overtime and energy.

  2. Multiple Programming Paradigms

    Like other superior programming languages, Python additionally supports quite a few programming paradigms. It supports object-oriented and structured programming fully. And also, its language facets to guide quite a number standards in practical and aspect-oriented programming. At an equivalent time, Python also features a dynamic kind machine and automated reminiscence management. The programming paradigms and language points aid you to use Python for developing large and sophisticated software program applications.

  3. Compatible with Major Platforms and Systems

    At present, Python supports many operating systems. You even use Python interpreters to run the codes on specific structures and tools. Also, Python is an interpreted programing language. It approves you to run an equivalent code on a couple of systems without recompilation. Hence, you are now not required to recompile the code after making any alteration. you will run the modified software code without recompiling and take a look at the influence of modifications made to the code immediately. The feature makes it simpler for you to structure changes to the code besides growing improvement time.

  4. Robust Standard Library

    It is a two giant and sturdy trendy library that makes Python rating over different programming languages. The great library lets you to settle on from a appropriate range of modules constant with your unique needs. Each module further permits you to characteristic performance to the Python utility except writing additional code. as an example, while writing an internet utility in Python language, you'll use particular modules to implement net services, perform string operations, manage OS interface or work with internet protocols. you'll even gather data about a range of modules by means of looking via the Python Standard Library documentation.

  5. Many Open Source Frameworks and Tools

    As an open-source programing language, Python helps you to curtail software improvement cost significantly. You can use quite a few open-source Python frameworks like libraries, and improvement tools to curtail improvement time without growing improvement cost. You even have the desire to settle on from a excellent vary of open-source Python frameworks and improvement equipment constant with your particular needs. You simplify and speed up web utility development through the usage of Robust Python web frameworks like Pyramid, Django, Flask, Bottle, and cherrypy. Likewise, you'll speed up laptop GUI utility development the use of Python GUI frameworks and toolkits like PyQT, PyJs, PyGUI, Kivy, PyGTK and WxPython.

  6. Simplify Complex Software Development

    Python might also be a general-purpose programing language. Hence, you may use the programing language for creating both computer and internet applications. Also, you may use Python for developing complicated scientific and numeric applications. Python is supposed with elements to facilitate statistics evaluation and visualization. you may cash in of the information analysis elements of Python to make custom large statistics options besides putting additional time and energy. At an equivalent time, the data visualization libraries and APIs provided through Python help you to see and present data in a extra attractive and fine way. Many Python builders even use Python to accomplish AI (AI) and tongue processing tasks.

  7. Adopt Test Driven Development

    You can use Python to make a prototype of the software program software rapidly. Also, you may construct the software application immediately from the prototype just by refactoring the Python code. Python even makes it less difficult for you to function coding and checking out simultaneously with the aid of adopting a test-driven development (TDD) approach. you will easily write the particular exams before writing code and use the checks to investigate the equipment code continuously. The assessments also can be used for checking if the equipment meets predefined requirements that supported its ASCII textual content file.

However, Python, like other programming languages, has its own shortcomings. It lacks a variety of built-in elements supplied with the aid of other modern programming languages. Hence, you've acquired to use Python libraries, modules, and frameworks to speed up custom software program development. Also, countless research has shown that Python is slower than numerous extensively used programming languages which include Java and C++. you have obtained to hurry up the Python application with the aid of making changes to the equipment code or the usage of custom runtime. But you will continually use Python to hurry up software program improvement and simplify software maintenance.

Python course Modules

  • Brief History
  • Why Python
  • Where to use
  • The print statement
  • Comments
  • Python Data Structures & Data Types
  • String Operations in Python
  • Simple Input & Output
  • Simple Output Formatting
  • Indentation
  • The If statement and its' related statement
  • An example with if and it's related statement
  • The while loop
  • The for loop
  • The range statement
  • Break & Continue
  • Assert
  • Examples for looping
  • Create your own functions
  • Functions Parameters
  • Variable Arguments
  • Scope of a Function
  • Function Documentation/Docstrings
  • Lambda Functions & map
  • An Exercise with functions
  • Create a Module
  • Standard Modules
  • Errors
  • Exception Handling with try
  • Handling Multiple Exceptions
  • Writing your own Exceptions
  • File Handling Modes
  • Reading Files
  • Writing & Appending to Files
  • Handling File Exceptions
  • The with statement
  • New Style Classes
  • Variable Type
  • Static Variable in class
  • Creating Classes
  • Instance Methods
  • Inheritance
  • Polymorphism
  • Encapsulation
  • Scope and Visibility of Variables
  • Exception Classes & Custom Exception
  • Simple Character Matches
  • Special Characters
  • Character Classes
  • Quantifies
  • The Dot Character
  • Greedy Matches
  • Grouping
  • Matching at Beginning or End
  • Match Objects
  • Substituting
  • Splitting a String
  • Compiling Regular Expressions
  • Flags
  • List Comprehension
  • Nested List Comprehension
  • Dictionary Comprehension
  • Functions
  • Default Parameters
  • Variable Arguments
  • Specialized Sorts
  • Integrators
  • Generators
  • The Functions any and all
  • The with Statement
  • Data Compression
  • Closer
  • Decorator
  • Introduction
  • Components and Events
  • An Example GUI
  • The root Component
  • Adding a Button
  • Entry Widgets
  • Text Widgets
  • Check buttons
  • Radio buttons
  • List boxes
  • Frames
  • Menus
  • Binding Events to widget
  • Thread life Cycle
  • Thread Definition
  • Thread Implementation Network Programming Introduction
  • A Daytime Server
  • Clients and Servers
  • The Client Program
  • The Server Program
  • Recap
  • An Evaluation Client and Server
  • The Server Portion
  • A Threaded Server
  • Installation
  • DB Connection
  • Creating DB Table
  • COMMIT & ROLLBACK operation
  • Handling Errors
Why to choose IFDA for Python course ?

Python is the best certification course which tell you that how to program and analyse data by using Python. IFDA has designed this python course training with best trainers and it is being given in a friendly environment with group task.
After completing this course, you will get a chance to work as an intern which will assist you in your job. IFDA also provides internship certificate that shows your work experience. Although, placement in python has become so easy for candidates with their academic education but IFDA help you to get a better job in Python.

Benefits of Python

Python course in now a day is a trending course in market. Apart from being an open-source programming language, it is also one of the most versatile programming languages. Developers use it extensively for application development and system development programming. It reduces coding effort and better test performance ensure better programming.
Python is a job-oriented programming language which is used for creating website programming development, Desktop application development, GUI application development and so on. There is immense scope in these languages in terms of getting a job with high salary package.

Job Opportunities:
  • Web developer
  • Application developer
  • EJB programmer
  • Software developer
  • Software Tester
  • A professional teacher in Java
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