I am from a non-IT background. But I have an interest in python development Course. Shall I join?

Of course, IT or non-IT is not necessary to join Python development course.

What is the minimum qualification required for enrolment?

There is no minimum criterion set for attending this Python Development Course. A bachelor's degree though, is recommended.

What is the mode of learning for this certification?

The Python development certification training course is currently being offered via the live virtual classroom mode.

What if I have doubts and queries post completion of the course?

As a student and as an alumnus of the Institute, you will have a network of colleagues and fellow peers with whom you can interact at any time. Our Instructors are also available via refresher sessions which are conducted periodically post-completion to provide clarifications and answer doubts.

What are my options post completing this course?

Upon successful completion of the python development course, you will be provided with 100% placement support and guaranteed Internships from Henry Harvin, and Job postings will be shared with you every week via mail.

What is the provision if in case a class gets missed?

The student has the option of either going through the recorded lecture or attending the same class with a different batch. In any case, we ensure that learning is not hampered.

What is the best mode of study amongst online and offline mode?

Both! Henry Harvin’s quality of education remains constant in all respects irrespective of the mode of study chosen by the student.

I know the basics of Python. Can I join the training class for python development course?

The basics of Python are enough to start with Python Development Course.

What is Python Language?

Python is a programming language used for creating a wide range of programs, not specializing in any specific purpose. Therefore, Python can often be used to build websites and software, automate tasks, and even conduct data analysis when used in Data Science.

Python Development Course | Python Development Training

Q: What is the best mode of study amongst online and offline mode?

Both! Henry Harvin&rsquo;s quality of education remains constant in all respects irrespective of the mode of study chosen by the student.

Module 1: Python Environment setup and Essentials
In this module, students will learn about Python Language, its features, about its installation, basics of Python command, how to deploy Python IDE, etc.
- Introduction to Python Language
- Features, the advantages of Python over other programming language
- Python installation- Windows, Mac & Linux distribution for Anaconda Python
- Deploying Python IDE
- Basic Python commands, data types, variables, keywords and more
- Quiz Module 1
Module 2: Python Language Basic Constructs
This module will teach students to write a python program, its function with and without parameters,learn to write for a Loop, how to use Lambda expressions, create member functions and variables, and more.
- Built-in data types in Python
- Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
- Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
- Loop and control statements while, for, if, break, else, continue
- Quiz Module 2
Module 3: OOP Concepts in Python
This module covers creating an application which helps to check balance, deposit money and withdraw the money using the concepts of OOPS.
- How to write OOP concepts program in Python
- Connecting to a database
- Classes and objects in Python
- OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation
- Python functions, return types and parameters
- Lambda expressions
- Quiz Module 3
Module 4: Database connection
This module covers Demo on Database Connection using python and pulling the data.
- Understanding the Database, need of database
- Installing MySQL on windows
- Understanding Database connection using Python
- Quiz Module 4
Module 5: NumPy for mathematical computing
In this module, students get to learn about - how to import the NumPy module, create an array using an ND-array, calculate standard deviation on an array of numbers & calculate correlation between two variables.
- Introduction to arrays and matrices
- Broadcasting of array math, indexing of array
- Standard deviation, conditional probability, correlation and covariance
- Quiz Module 5
Module 6: SciPy for scientific computing
This module will cover topics such as Importing SciPy & applying the Bayes theorem on the given dataset.
- Introduction to SciPy
- Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, SciPy with Bayes Theorem
- Quiz Module 6
Module 7: Matplotlib for data visualization
In this module, students will learn how to Deploy MatPlotLib for creating Pie, Scatter, Line, Histogram.
- How to plot graph and chart with Python
- Various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots
- Quiz Module 7
Module 8: Pandas for data analysis and machine learning
This module covers- working on importing data from JSON files, selecting records by a group, applying filters on top, viewing records, etc.
- Introduction to Python data frames
- Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
- Various data operations like selecting, filtering, sorting, viewing, joining, combining
- Quiz Module 8
Module 9: Exception Handling
In this module students will learn a demo on Exception Handling with an Industry-based Use Case.
- Introduction to Exception Handling
- Scenarios in Exception Handling with its execution
- Arithmetic exception
- RAISE of Exception
- What is Random List, running a Random list on Jupyter Notebook
- Value Error in Exception Handling
- Quiz Module 9
Module 10: Multi Threading & Race Condition
The module will teach students a demo on Starting a Thread and a Multithread and then perform multiple operations on them.
- Introduction to Thread, need of threads
- What are thread functions
- Performing various operations on thread like joining a thread, starting a thread, enumeration in a thread
- Creating a Multithread, finishing the multithreads.
- Understanding Race Condition, lock and Synchronization
- Quiz Module 10
Module 11: Packages and Function
This module covers a demo on Importing the modules and performing various operations on them using arithmetic functions & Importing various packages and accessing them and then performing different operations on them.
- Introduction to modules in Python, need of modules
- How to import modules in python
- Locating a module, namespace and scoping
- Arithmetic operations on Modules using a function
- Intro to Search path, Global and local functions, filter functions
- Python Packages, import in packages, various ways of accessing the packages
- Decorators, Pointer assignments, and Xldr
- Quiz Module 11
Module 12: Web Scraping with Python
This module covers, Installation of Beautiful soup and lxml Python parser, Making a soup object with input HTML file & Navigating using Py objects in soup tree.
- Introduction to web scraping in Python
- Installing of beautifulsoup
- Installing Python parser lxml
- Various web scraping libraries, beautifulsoup, Scrapy Python packages
- Creating soup object with input HTML
- Searching of tree, full or partial parsing, output print
- Quiz Module 12