Sawal Tondon
Sr. Manager Training and Development@ GenSpark | IT Instructor
"Unlock the secrets of Python with 'Pythonic Prowess.' From basics to brilliance, elevate your programming skills and embrace the elegance of Python. Master the art of code effortlessly."
Buy Now"Embark on a journey to master the art of programming with 'Pythonic Prowess.' This project is designed to guide both novices and experienced developers through the intricacies of Python, unraveling its elegance and power. From fundamental concepts to advanced techniques, discover how to wield Python with finesse, crafting efficient and elegant solutions. Unleash your coding potential and elevate your programming skills with 'Pythonic Prowess.'"
18+ Hours Live Sessions
Projects based Evaluation
Expert Talk
Cash Rewards for Top 3% Students
Starts on 7th March 2024 End on 24th March 2024
Highly seasoned DSA trainers with a wealth of expertise, guiding students through complex data structures and algorithms with precision and mastery.
Introduction
o Introduction to python
o Features of Python
o Introduction to Google Colab
Variables Expression and Statements
o Variables
o Keywords
o Arithmetic operators and BEDMAS rule
o String operations
o Input function
Data structures
o List, Tuples
o Dictionary sets
Control Structures and Functions in Python
o If-elif-If
o for loop, while loops
o lambda functions, user defined functions
and recursion
OOP’s Concepts
Numpy
o Introduction to numpy
o Importing numpy
o Creating array using numpy
o Array vs list,
o Numpy functions and slicing
o Sub setting and indexing operations on arrays
Pandas
o Introduction to pandas
o Importing pandas
o Creating series using pandas
o Creating dataframes using panda
Matplotlib
o Introduction to Matplotlib
o Importing Matplotlib
o Basic and advance Plotting with
Matplotlib
o Real-world Applications
Seaborn
o Introduction to Seaborn
o Importing Seaborn
o Creating Plots with Seaborn
o Statistical Data Visualization
o Pair Plots and Heatmaps
Introduction to machine Learning
o Types of Machine Learning
Project (2-4 Hours)