Karier Sebagai Python Developer

 Ada sekitar 14 ribu lowongan kerja per hari untuk Python Developer di dunia, di Amerika Serikat sendiri ada 300 lowongan kerja per hari yang diiklankan di berbagai media.

Image Python Developer (Credit to Google).

Gajinya di kisaran US$107 ribu (Rp 1,6 milyar) per tahun. Angka yang cukup menggiurkan untuk pemula.

Untuk menjadi Python Developer, anda bisa ikut kursus gratis yang diselenggaran secara online oleh Alison.com (diakreditasi oleh UK). 

Badan akreditasinya adalah CPD UK (the continuing professional development institution in the United Kingdom).

 

Diantara kursus (sertifikat dan diploma) adalah sbb:

1) Sertifikat Python for Beginner

2) Diploma in Python for beginner

3) Diploma in Python programming

Kursus tambahan:

Diploma in Visual Basic Programming.

Skills:

- Python programming

- Python (Flask, Django)

- SQL (MySQL, PostgreSQL)

- Web scraping (Beautiful Soup, Scrapy)

- Data analysis (Pandas, NumPy)

Relevant Courses: 

-Data Structures, Algorithms, Web Development

- API Design Principles: Be well-versed in architectural styles like REST, GraphQL, and gRPC

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1. Python Developer:

• As a Python developer, you’ll work on creating and maintaining web applications, APIs, and backend services using Python.
• Frameworks like Flask and Django are commonly used for web development1.
• You can find Python developer positions in various industries, including tech companies, startups, and consulting firms.

2. Full Stack Developer:

• Full stack developers work on both frontend (user interface) and backend (server-side) components of web applications.
• Proficiency in Python, along with knowledge of web development frameworks, is valuable for this role2.

3. Data Engineer:

• Data engineers build and maintain data pipelines, often using Python.
• Your skills in SQL, Pandas, and NumPy will be essential for data manipulation and processing3.

4. Web Scraping Specialist:

• Companies often need data from websites for various purposes (e.g., market research, competitive analysis).
• Beautiful Soup and Scrapy are popular Python libraries for web scraping.
• Look for roles related to data extraction, data mining, or web crawling.

5. Data Analyst:

• Your expertise in Pandas and NumPy makes you well-suited for data analysis roles.
• Data analysts work with datasets, perform statistical analysis, and generate insights.

6. Database Administrator (DBA):

• SQL knowledge (MySQL and PostgreSQL) is crucial for DBAs.
• They manage databases, optimize queries, and ensure data integrity.

7. Software Engineer:

   • If you’re interested in broader software development, consider this role.
   • Python skills are valuable, and knowledge of algorithms and data structures (from your relevant courses) is a plus.

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Becoming a Python developer involves mastering several essential skills. Whether you’re just starting or looking to refine your expertise, here are the key skills you’ll need to succeed in Python development:
Excellent Debugging Skills:
Python is beginner-friendly, but debugging is crucial. Learn to identify and fix common issues like off-by-one errors, unclosed files, and division by negative numbers. Use techniques like printing variable values, altering program paths, and using debuggers1.
Knowledge of Frameworks:
Familiarize yourself with popular Python web frameworks like Flask, Django, and Bottle. These frameworks simplify web development, enhance security, and improve scalability1.
Object-Oriented Programming (OOP):
Understand OOP concepts. Python supports OOP, and knowing how to create classes, objects, and inheritance is essential for building robust applications2.
Software Development Best Practices:
Learn about design patterns, code organization, and maintainable code. Following best practices ensures your code is efficient, readable, and maintainable2.
Web Development Skills:
Explore web development using Python. Frameworks like Flask and Django allow you to build dynamic web applications. Familiarize yourself with HTML, CSS, and JavaScript to create interactive web pages2.
Machine Learning and Artificial Intelligence (AI):
Python is widely used in data science and AI. Learn libraries like NumPy, pandas, and scikit-learn. Understand machine learning algorithms and how to apply them to real-world problems3.
Deep Learning:
Dive into deep learning using libraries like TensorFlow or PyTorch. Understand neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs)3.
Object-Relational Mapping (ORMs):
Know how to work with databases. ORMs like SQLAlchemy help you interact with databases using Python code instead of raw SQL queries3.
Version Control (e.g., Git):
Collaborate effectively by understanding version control systems. Git is widely used for managing code changes and collaborating with other developers2.
Continuous Learning and Adaptability:
The tech industry evolves rapidly. Stay updated, explore new libraries, and adapt to emerging trends. Curiosity and a growth mindset are essential1.

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