Register for Python programming for Biologists #python #biology #bioinformatics #biotechnology #view

Dive into the World of Bioinformatics with Python Programming! 🌐
In the intersection of science and technology, Python shines as the key to unlocking the secrets of genetic code. 🧬✨
Get ready to code, analyze, and visualize the future of genomics, all while celebrating the beauty of the genetic code on this enlightening learning journey. 🌟🧬👩‍🔬
**Course Outline:**
**Module 1: Introduction to Bioinformatics and Python Programming**
1.1. The Importance of Programming in Bioinformatics
1.2. Introduction to Python
1.3. Python Installation
1.4. Setting up an Integrated Development Environment (IDE)
1.5. Exploring IDE Basics
1.6. Understanding the Print Function
1.7. Data Types in Python
1.8. Working with Comments
1.9. Operators in Python
1.10. String Manipulation
1.11. Utilizing Built-in Functions
**Module 2: Data Structures**
2.1. Lists in Python
2.2. Tuples
2.3. Sets
2.4. Dictionaries
2.5. List Methods
2.6. Indentation
**Module 3: Control Flow**
3.1. Conditional Statements (if, elif, else)
3.2. Logical Operators
3.3. Loop Structures (for loop, while loop)
3.4. Using Break and Continue Statements
3.5. Crafting User-Defined Functions
3.6. Creating Custom Python Modules
**Module 4: File Handling and OS Interaction**
4.1. File Operations (Create, Read, Write, Delete Text Files)
4.2. Interacting with the Operating System through the os Module
**Module 5: Package Utilization**
5.1. Installing Essential Packages (Biopython, Numpy, Pandas, Matplotlib, ggplot)
**Module 6: Sequence Analysis**
6.1. Complementary Sequences
6.2. Reverse Complements
6.3. Transcription
6.4. DNA to Protein Translation
6.5. Calculating GC Content
**Module 7: Reading and Parsing File Formats**
7.1. Handling Genbank and Fasta File Formats
7.2. Calculating Nucleotide Counts and %GC Content
7.3. Extracting Protein Sequences
**Module 8: Data Analysis and Visualization**
8.1. Analyzing Human Genome Data using Numpy and Pandas
8.2. Visualizing Data with Matplotlib and ggplot
Ready to embark on this exciting journey?

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#coding #bioinformatics #python #science #genetics #datascience #education