livewire_coimbatore
Contact Us
shape
shape

Certification Course in Core Python


Best Software Training Institute in Coimbatore

  • Home
  • Certification Course in Core Python
Course Image 40 Hours Program

Certification Course In Core Python

Python is among the most leveraged and favoured programming languages used by Data Scientists worldwide. Master the fundamentals of this demanding language and get hands-on practical experience with Livewire, Coimbatore.

Core Python Training Institute in Coimbatore

Unlock endless possibilities with Python, the possibilities are endless. Whether you're interested in building intelligent systems, analyzing data, or developing web applications, Python has you covered. Its flexibility and versatility make it the perfect choice for tackling any project.

Industry Preferred

Python is not just popular among developers; it's also the preferred language of choice for industry giants like NASA, Google, and IBM. These organizations rely on Python to power their most critical applications and projects, making it a must-have skill for any aspiring developer.

Ready to take your career to the next level?

Our top certificate course on core Python is your ticket to success. Whether you're a beginner or an experienced programmer, our course is designed to provide you with the in-depth knowledge and hands-on experience you need to thrive in today's competitive job market.

What you will learn
  • You'll learn how to use the core python language for web development, data science, and cloud operations.
  • You'll learn to use python for statistical analysis and Data Visualization.
  • You'll learn to design and program Python applications.
  • You'll learn to use core programming features like data structures, conditionals, loops, variables, and functions.
  • You'll learn to create, run, and debug Python code and also the fundamentals of Python from syntax to modules.
  • You'll learn also learn to write loops and decision statements and use Python classes in programs.
  • You'll learn advanced techniques to execute frameworks like Django.
Join us today

Don't miss out on the opportunity to master Python and take your career to new heights. Enroll in our certificate course today and unlock your full potential in the world of programming and technology.

Core Python Training Modules

In this module, we’ve covered fundamental and advanced concepts of the core Python Programming Language. Our certificate course in Core Python lets you master the fundamentals, Data structures dictionaries & sets and gives you hands-on practical experience with a functional application of Python.

  • Python Introduction
  • Introduction to Python Programming
  • Installation of Python & Associated Packages
  • Graphical User Interface
  • Installation of Anaconda Python
  • Setting Up Python Environment
  • Data Types
  • Operators in Python | Arithmetic | Relational | Logical | Assignment | Bitwise | Membership | Identity
  • Data structures | Vectors | Matrix | Arrays | Lists | Tuple | Sets | String Representation | Arithmetic Operators | Boolean Values | Dictionary
  • Conditional Statements | if statement | if - else statement | if - elif statement | Nest if-else | Multiple if | Switch
  • Loops | While loop | For loop | Range() | Iterator and generator Introduction | For – else | Break
  • Functions | Purpose of a function | Defining a function | Calling a function
  • Function parameter passing | Formal, Actual, Positional, Keyword, Variable arguments and Variable keyword arguments
  • Use-Case *args, **kwargs
  • Function call stack - Locals() & Globals()
  • Stackframe
  • Modules
  • Python Code Files
  • Importing functions from another file
  • __name__: Preventing unwanted code execution
  • Importing from a folder
  • Folders Vs Packages
  • __init__.py
  • Namespace
  • Recursive imports
  • File Handling
  • Exception Handling
  • Regular expressions
  • Oops concepts
  • Classes and Objects
  • Inheritance and Polymorphism
  • Multi-Threading
  • Python Data Structures, Dictionaries & Sets
  • List Comprehensions - List comprehension | Dictionary comprehension | Enumerate | Zip and unzip
  • Generator Expressions
  • Tuples – Nested, Names, Unpacking
  • Splitting – Slicing Objects, Ellipsis
  • Augmented Assignments with Sequences
  • Build-in Sort Functions
  • Ordered Sequences with Bisec
  • Arrays, Memory Views, Deques
  • Handling Missing Keys
  • Set Theory, Variations, Operations
  • Higher-Order Functions
  • Function Annotations
  • Functional Programming Packages | Procedural vs Functional | Pure functions | Map() | Reduce() | Filter() | Lambdas
  • Loop vs Comprehension vs Map
  • Identify, Equality & References
  • MySQL db Module
  • INSERT, READ, DELETE, UPDATE, COMMIT, ROLLBACK operations on SQL using Python
  • Python Packages for Analysing the Data
  • Python Packages
  • Pandas – Series, Dataframes
  • Numpy – Arrays, Memory, Matrices, Broadcasting, Masked Arrays
  • Scipy
  • Matplotlib
  • Seaborn
  • Sklearn (Scikit Learn)
  • Statsmodels
  • Jupyter Notebooks, IPython Notebooks
  • Data Collection using CSV, JSON, XML, HTML & Scrapping
  • Data Wrangling | Understanding | Filtering | Typecasting | Transformations & Normalization | Imputation | Handling Duplicates & Categorical Data
  • Data Summarization
  • Data Visualizations using Python Packages
  • Line Chart | Bar Chart | Histogram | Pie Charts | Box Plots | Scatter Plots | Figures & Subplots | Additional Visualization Packages – bokeh, ggplot, plotly
  • Python XML and JSON parsers
  • Basic Images Processing using Python OpenCV
  • Advance Python Programming
  • Dates and Times
  • Binary Data
  • Pythonic ProgrammingPythonic Programming
  • Exception Handling
  • Purpose of Exception Handling
  • Try block | Except block | Else block | Finally block | Built-in exceptions | Order of ‘except’ statements
  • Exception - mother of all exceptions
  • Writing Custom exceptions
  • Stack Unwinding
  • Enhancing Classes
  • Metaprogramming
  • Developer Tools
  • Unit Testing with PyTest
  • Multi-Threading
  • Program Memory Layout
  • Concurrency
  • Parallelism
  • Process
  • Thread of execution
  • Creating a thread
  • Joining a thread
  • Critical section
  • Locks
  • PyQt
  • Network Programming
  • Scripting for System Administration
  • Serializing
  • Advanced-Data Handling
  • Implementing Concurrency | Asynchronous programming | The asyncio framework | Reactive programming
  • Parallel Processing | Introduction to parallel programming | Using multiple processes | Parallel Cython with OpenMP | Automatic parallelism
  • Introduction to Concurrent and Parallel Programming
  • Technical requirements
  • What is concurrency?
  • Not everything should be made concurrent
  • The history, present, and future of concurrency
  • A brief overview of mastering concurrency in Python
  • Setting up your Python environment
  • Django with REST Webservices
  • Client-Server architecture
  • Web Application
  • Web framework
  • Installing Django modules
  • Creating first basic Django
  • Creating Model classes
  • Django Template tags and template programming
  • Django rest framework
  • Understanding REST Architecture
  • HTTP GET, POST
  • JSON serialization
  • Writing REST API
  • Advance Python Programming: Web Extraction and Serialization
  • Web Extraction
  • Beautiful Soup
  • Selenium
  • Serialization pickling, XML & JSON
  • Introduction to Serialization
  • Structure and Container
  • Pickle Module
  • pickling built-in data structures
  • byte strings
  • binary
  • xml parsing and construction - xml
  • json parsing and construction - json, simplejson
  • Logging
  • Purpose of logging
  • Logging levels
  • Types of logging
  • Logging format
  • Logging Handlers
  • Disadvantages of excessive logging
  • Custom loggers
  • Exception Handling
  • Purpose of Exception Handling
  • Try block | Except block | Else block | Finally block | Built-in exceptions | Order of ‘except’ statements
  • Exception - mother of all exceptions
  • Writing Custom exceptions
  • Stack Unwinding
  • Enhancing Classes
  • Metaprogramming
  • Developer Tools
  • Unit Testing with PyTest
  • Multi-Threading
  • Program Memory Layout
  • Concurrency
  • Parallelism
  • Process
  • Thread of execution
  • Creating a thread
  • Joining a thread
  • Critical section
  • Locks
  • PyQt
  • Network Programming
  • Scripting for System Administration
  • Serializing
  • Advanced-Data Handling
  • Implementing Concurrency | Asynchronous programming | The asyncio framework | Reactive programming
  • Parallel Processing | Introduction to parallel programming | Using multiple processes | Parallel Cython with OpenMP | Automatic parallelism
  • Introduction to Concurrent and Parallel Programming
  • Technical requirements
  • What is concurrency?
  • Not everything should be made concurrent
  • The history, present, and future of concurrency
  • A brief overview of mastering concurrency in Python
  • Setting up your Python environment
  • Django with REST Webservices
  • Client-Server architecture
  • Web Application
  • Web framework
  • Installing Django modules
  • Creating first basic Django
  • Creating Model classes
  • Django Template tags and template programming
  • Django rest framework
  • Understanding REST Architecture
  • HTTP GET, POST
  • JSON serialization
  • Writing REST API
  • Advance Python Programming: Web Extraction and Serialization
  • Web Extraction
  • Beautiful Soup
  • Selenium
  • Serialization pickling, XML & JSON
  • Introduction to Serialization
  • Structure and Container
  • Pickle Module
  • pickling built-in data structures
  • byte strings
  • binary
  • xml parsing and construction - xml
  • json parsing and construction - json, simplejson
  • Logging
  • Purpose of logging
  • Logging levels
  • Types of logging
  • Logging format
  • Logging Handlers
  • Disadvantages of excessive logging
  • Custom loggers
Author Image

Certificate

You'll learn what actions to take on data and which ones to avoid. You'll learn how to analyze data to produce actionable insights. You'll teach core components of data science like data cleaning, data visualization, and machine learning algorithms. You'll learn the methodology and steps involved in handling big data. You'll learn how to collect, clean, analyze and build a model using data, You'll work on live projects to apply learned skills in a real-time scenario.

Tools Covered
img
Author Image

Clarence

Areas of expertise: Python and R language Programming
Over 20+ years of industry experience in data science and business intelligenceL

How We Prepare You for Success
  • 60+ hours of Assignment
  • Unlimited learning sessions (Live Classes, Free Webinars etc)
  • Interview preparation program
  • Unlimited LMS Access
  • Internship opportunities & Job Assistance
  • Live Projects with Real-Time Scenario
  • Value added Additional Courses
  • 24x7 One-to-One learning support

  • Shivani Madhimaran

    Data Science

    The course content covers all the aspects required to become a Data Scientist. I got maximum knowledge on my course. The IIT trainers here are highly skilled and demonstrate each topic precisely. Thank you Cognitec Anna Nagar team for this best Data Science training

  • Lathika

    Data Science

    The structure of the course is very professional. It gives u the confidence that is required for the jobs n successful entry into data science world. Thank you so much Anna Nagar team for guiding me in placement point of view

Faq

Frequently Asked Question?

The Core Python Training course is designed to provide a comprehensive introduction to Python programming. It covers the fundamental concepts, syntax, and libraries of Python, equipping participants with the skills needed to write and understand Python code.

Yes, the course includes hands-on coding exercises and projects that allow participants to apply what they have learned in real-world scenarios.

Yes, participants who complete the course and pass the final assessment will receive a certificate of completion.