Learn Python JNNC Technologies

 

Learn Python

JNNC Technologies – Best Python Coaching Center in Vizag

Are you looking for the best place to learn Python in Visakhapatnam? JNNC Technologies is your top choice for comprehensive Python training that will equip you with the skills and knowledge to excel in programming. Whether you're a beginner or an experienced developer looking to enhance your skills, JNNC Technologies has the perfect Python course for you!  Learn Python

 

Why Choose JNNC Technologies for Python?

1. Expert Trainers: At JNNC Technologies, our trainers are industry experts with real-world experience in Python programming, ensuring that you gain practical insights as well as theoretical knowledge. Learn Python
2. Comprehensive Curriculum: Our Python course covers everything from the fundamentals to advanced topics. You'll learn about:
   • Python Basics (Data Types, Variables, Functions, Loops)
   • Object-Oriented Programming (OOP) in Python
   • Working with Libraries like NumPy, Pandas, and Matplotlib
   • Web Development with Django/Flask
   • Automation and Scripting
   • Data Science and Machine Learning with Python
3. Hands-on Learning: We emphasize practical learning through real-time projects, coding exercises, and industry-relevant assignments. You’ll build projects in areas like web development, data analysis, and automation to solidify your understanding.
4. State-of-the-Art Infrastructure: Our center in Vizag provides modern labs with the latest tools and software to ensure you have the best learning experience.
5. Flexible Timings: We offer flexible class timings to accommodate working professionals and students, ensuring that everyone has the opportunity to learn.
6. Placement Assistance: JNNC Technologies provides dedicated placement support, helping students connect with top companies looking for skilled Python developers. Our students have been successfully placed in reputed organizations across India.
7. Certifications: Upon completing the course, you’ll receive a certification recognized by leading companies, helping you stand out in the competitive job market.

Who Can Join?

• Beginners: If you're new to programming, our Python course is structured to help you start from scratch and build a strong foundation.
• Experienced Professionals: Developers looking to upgrade their skills, or IT professionals aiming to transition into fields like data science and AI, will benefit from our advanced Python modules.
• Students: Engineering and IT students can gain a competitive edge by learning Python, the most popular language in tech industries today. Learn Python

Our Python Course Offerings 

• Python for Beginners – Ideal for those new to programming
• Advanced Python Programming – For professionals looking to deepen their expertise
• Python for Data Science – Master Python libraries like Pandas, NumPy, and Matplotlib for data analysis
• Web Development with Python – Learn to build dynamic web applications using Django and Flask

Join the Best Python Training in Vizag

At JNNC Technologies, we believe in delivering high-quality education that prepares you for the real world. Our Python coaching has helped hundreds of students and professionals kickstart successful careers in programming.

Beginner Level:

1. Python for Absolute Beginners
2. Introduction to Python Programming
3. Python Basics: A Crash Course
4. Learn Python from Scratch
5. Python for Non-Programmers

Intermediate Level:

1. Intermediate Python Programming
2. Python Data Structures and Algorithms
3. Object-Oriented Programming in Python
4. Python Automation and Scripting
5. Data Analysis with Python

Advanced Level:

1. Advanced Python Techniques
2. Python for Data Science and Machine Learning
3. Web Development with Python and Django/Flask
4. Python for AI and Deep Learning
5. Parallel and Concurrent Programming in Python

Specialized Python Courses:

1. Python for Data Visualization
2. Automating Tasks with Python
3. Building APIs with Python
4. Python for Finance and Algorithmic Trading
5. Natural Language Processing with Python

Course Curriculum

 

Basic Python Concepts

• Installing Python And PyCharm
• Hello World Program In Python
• Some other mathematical operations in Python
• Strings In Python
• Accepting input from the user in Python
• Performing operations on a string in Python
• Variables in Python
• In place operators in Python.
• Writing our very first program in PyCharm
• Coding Challenge Part 1

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Control Structures In Python 

• If statement in Python
• Elif statement in Python
• Introduction to lists in Python
• List operations in Python
• List functions in Python
• Range function in Python
• Code reuse and functions in Python
• For Loop in Python
• Boolean logic in Python
• While loop in Python

Functions & Modules In Python

• Passing arguments to functions in Python
• Making function return value in Python
• Passing functions as arguments in Python
• Modules in Python

Exception Handling & File Handling In Python

• Errors & exceptions in Python
• Exception handling in Python
• Finally block
• File handling
• Reading data from file
• Adding data to the file
• Appending to a file

Some More Types In Python

• Dictionaries
• Dictionary Functions
• Tuples
• List Slicing
• List Comprehension
• String formatting
• String functions
• Numeric functions

Functional Programming In Python

• Functional programming
• Lambdas in Python
• Map in Python
• Filters in Python
• Generators in Python

Object-Oriented Programming In Python

• Introduction To Object-Oriented Programming, Classes & Objects
• Class Methods
• Creating A Class & Defining Class Attributes
• Instance Attributes & Constructor
• Implementing Methods In Object-Oriented Programming
• Function Based vs. OOP Way Of Writing Code
• Inheritance
• Multiple Inheritance
• Multi-level Inheritance
• Recursion in Python
• Sets
• Itertools
• Operator overloading in Python
• Data hiding in Python

Regular Expressions In Python

Regular expressions in Python

Search & find all

Find & replace

The dot metacharacter

Caret & dollar metacharacter

Character class

Star metacharacter

Group

Create GUI Apps In Python Using Tkinter

• Tkinter : Hello world program
• Tkinter: Using frames
• Tkinter: Grid layout
• Tkinter: Self adjusting widgets
• Tkinter: Handling button clicks
• Tkinter: Using classes
• Tkinter: Using drop downs
• Tkinter: Toolbar
• Tkinter: Making Status Bar
• Tkinter: Message box
• Tkinter Drawing

Learn Python

Building Calculator App Using Tkinter

• Building Calculator App Part 1
• Building Calculator App Part 2
• Building Calculator App Part 3
• Building Calculator App Part 4

Building Database Apps With PostgreSQL & Python

• Introduction To Databases
• Introduction To PostgreSQL
• Installing PostgreSQL On Windows
• Installing PostgreSQL On Mac
• Creating A Database
• Creating Table & Adding Data
• Reading Data From Database
• Setting Up Virtualenv on Mac
• Setting Up Virtualenv On Windows
• Installing Psycopg2
• Connecting To Database With Python Code
• Creating Database Tables With Python
• Adding Data To Database Tables With Python
• User Submitted Data To Database
• Creating App Layout
• Adding Entries
• Saving Entries To Database
• Search Functionality
• Listing All Entries

Data Analysis Using Python

• Introduction to Data Analysis Using Python
• Installing Tools For Data Analysis
• Introduction to Pandas & Series
• Converting Dictionaries to Series
• Introduction to Data Frames
• Changing Column Sequence
• Changing Columns & Transposing Dataframe
• Reindexing Series & DataFrames
• Deleting Rows & Coulumns
• Arithmetic operations on dataframe and series
• Arithmetic operations in between dataframe and series
• Sorting series and dataframes
• Sorting according to values
• Handling duplicate values
• Calculating sum, max & min values
• Dropping nan values
• Loading data from a file
• Analyzing file data
• Creating Numpy Array
• 19 Another way to create an array
• Logspace & Linspace
• Slicing a Numpy Array
• Advanced indexing and slicing techniques
• Broadcasting
• Iterating using ndite
• Plotting data using Matplotlib
• Analysing Supermarket Sales Data Part 1: Reading CSV File
• Analysing Supermarket Sales Data Part 2: Switching Up The Theme
• Analysing Supermarket Sales Data Part 3: Accessing Different Parts Of Data
• Analysing Supermarket Sales Data Part 4: Selecting Rows On A Condition
• Analysing Supermarket Sales Data Part 5: Queries To Find Conditional Data
• Analysing Supermarket Sales Data Part 6: Sum, Max, Min & Average
• Analysing Supermarket Sales Data Part 7: Using GroupBy To Group Data By Location
• Analysing Supermarket Sales Data Part 8: Finding Market Share
• Analysing Supermarket Sales Data Part 9: Classifying Shoppers
• Analysing Supermarket Sales Data Part 10: Analysing Memberships & Ratings
• Analysing Supermarket Sales Data Part 11: Answering Multiple Queries
• Analysing Supermarket Sales Data Part 12: Classifying Sales By Day
• Analysing Supermarket Sales Data Part 13: Classifying Sales By Month
• Analysing Supermarket Sales Data Part 14: Classifying Sales By Hour
• Analysing Supermarket Sales Data Part 15: Classifying Payment Types With Hour
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