Python for Everyone Batch - 3

Learn all the essential Python libraries and tools we teach in our Python for Everyone courses

Duration: 8 Weeks
Level: Beginner
Format: Hands On Workshop
Instructor:MD. SHAFIUL ALAM SAGAR
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Course Outlines

What You'll Learn in This Course

Master the industry standard tools and libraries used by Python developers around the world.

Python
Python
3.8+

The most popular programming language for data science and machine learning with an extensive ecosystem.

  • Easy to learn and read
  • Rich ML libraries
  • Strong community support
  • Cross-platform compatible
  • Industry standard
Python
NumPy
1.20+

Fundamental package for numerical computing with support for arrays and matrices with mathematical functions.

  • N-dimensional arrays
  • Linear algebra operations
  • Fourier transforms
  • Broadcasting capabilities
  • High performance
Python
Pandas
1.2+

Powerful data manipulation and analysis library with DataFrames for handling structured data.

  • DataFrames & Series
  • Data cleaning & transformation
  • Merging & joining data
  • Aggregation & grouping
  • CSV/Excel support
Python
Matplotlib
3.3+

Comprehensive 2D plotting library for creating static, animated, and interactive visualizations.

  • Line plots & scatter
  • Histograms & bar charts
  • Customizable styles
  • Publication-quality plots
  • Multi-figure support
Python
Seaborn
0.11+

Statistical data visualization library built on Matplotlib for elegant and informative graphics.

  • Statistical plots
  • Distribution visualizations
  • Heatmaps & correlations
  • Beautiful themes
  • Pandas integration
Python
Jupyter Notebook
Latest

Open-source web application for creating and sharing documents with live code, equations, and visualizations.

  • Interactive coding
  • Live documentation
  • Rich media support
  • Markdown cells
  • Easy sharing
Python
Google Colab
Free GPU

Free cloud-based Jupyter notebook environment with free GPU and TPU access for machine learning projects.

  • Free GPU/TPU
  • No setup required
  • Cloud storage integration
  • Pre-installed libraries
  • Easy sharing & collaboration

Prerequisites & Requirements

Before starting our Python for Everyone courses, ensure you have the following:

There is no need to any specific prerequisites. We teach you from scratch.
Getting Started

Quick Installation Guide

Installation is easy! Use pip or Anaconda to get started with our recommended tools.

Install All ML Libraries at Once

pip install numpy pandas matplotlib seaborn jupyter

Or use Anaconda for easier package management:

conda install numpy pandas matplotlib seaborn jupyter

ML Pre-requisite Batch-3

Join our courses and master these powerful tools for machine learning. Start your journey today!

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Batch 2 Success Stories

Meet Our Python Graduates

"I had zero programming experience before joining this batch, but the way the instructors taught Python fundamentals made everything click. Learning NumPy and Pandas transformed how I think about data. Now I can manipulate any dataset and create stunning visualizations with Matplotlib. Incredibly well-structured course!"

AR
Aarav Roy
ID: 2233081224 | Batch 63 | CSE 1st Year

"Python for Everyone Batch 2 was exactly what I needed. The progression from basic syntax to working with real datasets was logical and thorough. The Jupyter Notebook practical sessions in Google Colab made learning so accessible. I've already started contributing to small data analysis projects!"

ZA
Zara Ahmed
ID: 2241081225 | Batch 64 | CSE 2nd Year

"The comprehensive coverage of Python libraries was amazing. From data cleaning with Pandas to beautiful visualizations with Seaborn - I feel equipped to start the ML course with confidence. The instructors' real-world examples and assignments really pushed my understanding. Best prerequisite course ever!"

MJ
Mohammad Junaid
ID: 2251081226 | Batch 65 | CSE 1st Year