Full Stack Python Training Certification Course in Hyderabad
Get Ready for New age job roles by learning the programming language that is most popular for Data Analytics – Python
Web Training’s Full Stack Python Training Course in Hyderabad will make you an expert in Python Programming for web development with Django Framework. Get In-Depth Practical exposure in Python libraries such as Pandas, matplotlib, scipy, numpy, PyGTK, SymPy, Flask, PyTorch, and nose for data analysis and data visualizations with Real-World Projects.
During this Python Training Course, you will also be well-equipped with the widely used Python Web Framework Django, which you will be able to implement in your real-world projects and programs like a professional Python Developer.
Become the Best Python Developer by enrolling in this Online and Classroom Course. Get a Free Consultation from our Course Co-ordinator
What is Python Programming?
Python is a high-level, general-purpose interpreted programming and Scripting language with simple easy syntax and dynamic semantics.
- It is widely used in advanced web development, data science, machine learning, and artificial intelligence, etc.
- Python is far easier to learn than other programming languages and allows you to develop beautiful Desktop GUI applications, web applications, web frameworks at much greater convenience.
- Python is a free, cross-platform, open-source programming language with extensive support modules and community development, easy integration with web services, user-friendly data structures, and GUI-based desktop applications.
Python Course Learning Objectives
Why Python Development Training?
- High paying Skills: It is a powerful and versatile programming language that provides numerous job opportunities and has large salary growth potential. Among the world’s well-known and prestigious organizations that use Python for their application development are NASA, GOOGLE, NETFLIX, YOUTUBE, AMAZON, FACEBOOK.
The average Python programmer salary in the United States is $108,598 per year, making Python the third highest-paid programming language according to Daxx’s research.
In India, The average salary for a Python Developer is around ₹5 – 6. Lakhs per year. (Source: Glassdoor)
- Awesome libraries and frameworks: Python comes with a pre-standard library that is extremely useful for software development. Python libraries have proven to be extremely useful for a wide range of tasks, including web development, machine learning, image recognition, data analysis, and visualization, as well as a library for making HTTP requests.
Aside from that, a wide range of open-source third-party libraries makes it extremely simple to develop applications.
- Easy To Learn & Simple To Use: Python is an interpreted programming language.As a result, the code is performed at run time and does not need to be compiled like other languages (C++ or C). Python’s main advanced feature is its simple syntax and its readability.
As a result, it has several subtle advantages such as dynamic typing, automatic memory management, and scoping. As it is a very simple and straightforward language to learn, Python eliminates the need for complex syntax.
If you want to print ‘hello world,’ you must write the three lines above, whereas Python requires only one line to print “hello world.” It’s that SIMPLE.
- Large Active Community Base: Python has a large community that can assist you with programming problems or software concerns. You can post your questions in the community forums, and people will respond in real-time.
- Uses in Graphical user Interfaces (GUI): Python has been used to create GUI-based applications such as Inkscape, Paint Shop Pro, and Scribus. Python is also used to create games. Civilization IV and Eve of Tanks are two fantastic examples.
- Uses in Web Development: Due to frameworks such as Django, Pyramid, Flask, and Web2Py, a large number of well-known companies throughout the world employ Python in their online application stack.
- Uses in Machine Learning (ML): Python is one of the most popular programming languages for machine learning. Python makes machine learning enthusiasts’ lives much easier because of its simple syntax and support for a variety of machine learning libraries such as Keras, Scikit-Learn, Tensor Flow, and OpenCV.
- Uses in Data Science: Python provides many libraries to data scientists such as Keras, Scikit-Learn, matplotlib, and TensorFlow to help them carry out the steps effectively.
Eligibility
Students having a basic understanding of any programming language concepts such as what a loop is, what if and else does, how operators are used, and so on will be beneficial. Python can be learned quickly if you have a strong command of the fundamentals of any programming language.
Software Requirements:
- Any Windows, Linux, or macOS operating system
- Python 3.x installed (Anaconda bundle recommended)
- An IDE with Python support (PyCharm Community Edition is an excellent free option, but there are several other good ones)
Python Course Syllabus
2. Setup
- Python Installation
- Execution Types
- What is an interpreter?
- Interpreters vs Compilers
- Using the Python Interpreter
- Interactive Mode
- Running python files
- Working with Python shell
- Integrated Development Environments (IDES)
- Interactive Mode Programming
- Script Mode Programming
3. Basic Concepts
- Basic Operators
- Types of Operator
- Python Arithmetic Operators
- Python Comparison Operators
- Python Assignment Operators
- Python Bitwise Operators
- Python Logical Operators
- Python Membership Operators (in, not in)
- Python Identity Operators (is, is not)
- Python Operators Precedence
4. Basic Concepts
- Data Types
- Variables
- Assigning Values to Variables
- Multiple Assignment
- Python Numbers
- Python Strings
- Accessing Values in Strings
- String Special Operators
- String Formatting Operator
- Triple Quotes
- Built-in String Operations
- Python Lists
- Accessing Values in Lists
- Updating Lists
- Delete List Elements
- Basic List Operations
- Indexing, Slicing, and Matrixes
- Built-in List Functions & Methods
- Python Tuples
- Accessing Values in Tuples
- Updating Tuples
- Delete Tuple Elements
- Basic Tuples Operations
- Indexing, Slicing, and Matrixes
- No Enclosing Delimiters
- Built-in Tuple Functions
- Python Dictionary
- Accessing Values in Dictionary
- Updating Dictionary
- Delete Dictionary Elements
- Properties of Dictionary Keys
- Built-in Dictionary Functions & Methods
5. Basic Operators in Python
- Types of Operator
- Python Arithmetic Operators
- Python Comparison Operators
- Python Assignment Operators
- Python Bitwise Operators
- Python Logical Operators
- Python Membership Operators (in, not in)
- Python Identity Operators (is, is not)
Python Operators Precedence
6. Loops and Decision Making
- if statements
- ..else statements
- nested if statements
- while loop
- for loop
- nested loops
- Loop Control Statements
- break statement
- continue statement
- pass statement
7. Functions
- Defining a Function
- Syntax
- Calling a Function
- Pass by reference vs value
- Function Arguments
- Required arguments
- Keyword arguments
- Default arguments
- Variable-length arguments
- The return Statement
- Scope of Variables
- Global vs. Local variables
8. Python Modules and Packages
- Framework vs Packages
- Folium Introduction
- Why are modules used?
- Creating modules
- The import Statement
- The from...import Statement
- The from...import * Statement
- Locating Modules
- The PYTHONPATH Variable
- Namespaces and Scoping
- The dir( ) Function
- The globals() and locals() Functions
- The reload() Function
- Packages in Python
9. Basic OOPs Concept
- Creating class in Python
- Documented String
- Private Identifier
- Constructor
- Inheritance
- Polymorphism
10. Decorator, Iterator and Generator
11. Anonymous Function
- Lambda
- Map
- Filter
- Reduce
12. File Manipulation
- Opening Text File
- Working with a File on Python
- The open function
- File modes
- The file object attributes
- close() method
- write() method
- read() method
- Files: Input
- Files: Output
- Reading files
- Renaming & deleting files
- Writing into a file
- remove() method
13. Python GUI
- Basic Operations using Tkinter
- Buttons and Textbox
- Menu Bar
- Message Box and Radio Button
- Checkbox and Event Creating
- Creating Application in GUI
14. SQL and Python
- Overview of SQLite
- Integrating Python with SQLite
15. NoSQL and Python
- Overview of NoSQL
- Integrating Python with NoSQL
16. Project Demonstration Tkinter with SQL
- Project Demonstration Tkinter with SQL
17. Other Concepts
- Errors and Exception Handling
- Standard exceptions
- Assertions in Python
- The assert Statement
- What is an Exception?
- Handling an exception
- Syntax
- The except Clause with No Exceptions
- The except Clause with Multiple Exceptions
- The try-finally Clause
- The argument of an Exception
- Example with Tkinter Application
- Regular Expression
- Powerful Utilities
- Multithreading
- List Comprehensive
- Shallow and Deep Copy
- Unit testing
18. Advanced Concept -- Overviews
- Networking Overview
- Sending and Receiving Email by Python
- Basics of Pandas and Numpy
- How to use Anaconda
- How to create a dashboard
- Overview of Django
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Scope Of Python in India
Stack Overflow’s Developer Survey claimed Python to be the third-most-popular programming language in the world and Python maintains a strong position in the top ten of the TIOBE and PYPL Popularity of Programming Language Indexes.
Python Applications:
Python is a great choice for:
With Web Training’s Full Stack Python Training Programming in Hyderabad, we enable you to seek advanced python programming skills.
A python trainee can occupy a variety of job titles, as Python Developer, Data Scientist, and Machine Learning Engineer
PYTHON DEVELOPERS: Python developers frequently work on the server side, writing logic or building the platform. Python Developers assist Front-End Developers by integrating their work with the Python application. They are typically responsible for deploying applications and collaborating with development and design teams to create user-friendly websites and applications. As a result, the industry is constantly on the search for Python developers familiar with Django and Flask.
The national average salary for a Machine Learning Engineer is ₹5 Lakhs per year in India (Source: Glassdoor)
DATA ANALYST: Data Scientist Analyze data to gain valuable insights. To do so, Data Analysts must collect massive amounts of data, sort it, and group it according to the organization's KPIs or goals. A Data Analyst uses Python libraries to analyze data, process data, analyze datasets, and develop visualizations to present findings in a useful way.
The national average salary for a Machine Learning Engineer is ₹6 Lakhs per Year In India in 2021 (Source: Glassdoor)
DATA SCIENTIST: Data Scientists combine computer science, mathematics, statistics, and modeling with an in-depth knowledge of their company and industry to uncover new opportunities and strategies. Data Scientists are responsible for analyzing data, developing statistical models, and designing data structures.
The national average salary for a Machine Learning Engineer is ₹10 Lakhs per year in India (Source: Glassdoor)
Why Full Stack Python Programming Training Course from Web Trainings Hyderabad?
WEB TRAINING’S DIGITAL TRAINING ADVANTAGE PROVIDES:
Python Training FAQ's
1. Is it worthwhile to obtain a Python certification?
Yes. Obtaining a Python certification is worthwhile, as Python is one of the most widely used and sought-after programming languages available today. The majority of IT jobs today require a working knowledge of the Python programming language for coding and development purposes.
Several of the primary reasons why earning a Python certification is advantageous include the following:
- There are over 10,000 job openings in the United States for professionals with Python language skills – LinkedIn.
- An entry-level Python developer earns an average salary of US$110,300 per year – Indeed
- Python is currently the world's second desired programming language – Stack Exchange
2. How Difficult Is It to Learn Python and how long does it take to learn python?
Python is considered one of the most simple programming languages to learn. It’s easy to use. Learning the fundamentals of Python programming can take anywhere from five to ten weeks on average.
3. What is the duration of the Course and Will I Get a Certificate?
This practical Training Comprises 90 days Of Live Classes with Mandatory Projects. On Successful Completion, students will be awarded an Industry accepted Full Stack Python Programming Training Certificate.
4. What are the job opportunities after completing the training?
- Python Developer
- Infrastructure Automation Developer
- Python Web Developer
- Web Designer
- Game Developer
- Data Analysis and Visualisation
5. Will I get a placement guarantee?
We provide 100% placement support. On course completion, every student is eligible to apply for an internship depending upon his/her requirements.