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Here’s how you can land your first job in Tech as a Python Developer

➡️Build a Strong Foundation:
Master Python basics: variables, data types, control structures.

➡️Develop Projects:
Create practical Python projects (e.g., web apps, data analysis, automation scripts).

➡️Version Control:
Learn Git for code versioning and use platforms like GitHub for collaboration.

➡️Networking:
Attend tech events, conferences, and workshops.
Build an online presence on platforms like LinkedIn.

➡️Resume Optimization:
Highlight Python skills, relevant projects, problem-solving, teamwork.

➡️Apply Widely:
Apply to various entry-level positions in tech.

➡️Prepare for Interviews:
Practice coding challenges on platforms like LeetCode or HackerRank.

➡️Soft Skills:
Develop communication, teamwork, and adaptability skills.

➡️Personal Projects:
Work on personal Python projects to gain experience.

➡️Internships:
Consider internships or freelance roles to enhance your resume.

➡️Open Source Contributions:
Contribute to open source projects to showcase your skills.

➡️Continuous Learning:
Stay updated with Python libraries, frameworks, and industry trends.

➡️Interview Etiquette:
Dress appropriately, be punctual, and show enthusiasm during interviews.

➡️Show Problem Solving:
Explain your approach to problem-solving in interviews.

➡️Stay Persistent:
Don’t lose motivation during the competitive tech job search. Keep improving and learning from each experience.

Each step contributes to your growth as a Python developer and increases your chances of landing your first tech job.

#Follow @thedataschoool @techschoool for such valuable content
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60 Days Roadmap to master JavaScript 🔥

Beginner Topics 👇
Day 1 : Introduction to JavaScript, The JavaScript Glossary, JavaScript syntax
Day 2 : Lexical Structure, Expressions, Types
Day 3 :Variables, Math Operators, Functions
Day 4 : Immediately-Invoked Function Expressions IIFE
Day 5 : this
Day 6 : Arrow Functions
Day 7 : Loops, Loops and Scope, Arrays
Day 8 : Regular expressions
Day 9 : Template Literals
Day 10 : SemicolonsStrict Mode
Day 11 : JavaScript Dates
Day 12 : Math Object
Day 13,14,15 : Asynchronous programming and Callbacks
Day 16 : JavaScript Timers
Day 17, 18, 19 : Promises
Day 20, 21: Async and Await
Day 22 : JavaScript Event Loop
Day 23 : Events
Day 24, 25, 26 : UI Events
Day 27 : Forms, controls
Day 28, 29, 30 : Document and resource loading

Advanced Topics 👇

Day 31-40 : Functional Programming in JS
Day 40-45 : Advanced Working With Functions
Day 45-50 : Closures
Day 50, 51, 52 : Regular Expressions
Day 52-55 : Unicode in JS
Day 55- 60 :Storing data in the browser

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🎯Courses I regret doing in 2023, I should have done them before 🥲

1. Facebook Blueprint: Social Media Marketing
🔗Course Link: https://www.facebook.com/blueprint

2. Microsoft Learn: Introduction to Python
- 🔗Course Link: https://docs.microsoft.com/en-us/learn/paths/python-first-steps/

3. Google Digital Garage: Fundamentals of Digital Marketing
🔗Course Link: https://learndigital.withgoogle.com/digitalgarage/course/digital-marketing

4. Amazon Web Services (AWS) Training and Certification: AWS Cloud Practitioner Essentials
- 🔗Course Link: https://aws.amazon.com/training/course-descriptions/cloud-practitioner-essentials/

5. IBM Skills: Introduction to Artificial Intelligence (AI)
- 🔗Course Link: https://www.ibm.com/training/badge/ea9f8f2d-2e81-412a-8c73-38ed6ffba1dd

6. Adobe Creative Cloud Tutorials: Graphic Design Basics
- 🔗Course Link: https://helpx.adobe.com/creative-cloud/tutorials-explore.html

7. LinkedIn Learning: Excel Essentials for the Real World (by Microsoft)
- 🔗Course Link: https://www.linkedin.com/learning/excel-essentials-for-the-real-world-2

8. Cisco Networking Academy: Introduction to Cybersecurity
- 🔗Course Link: https://www.netacad.com/courses/cybersecurity/introduction-cybersecurity

9. HubSpot Academy: Inbound Marketing Certification
- 🔗Course Link: https://academy.hubspot.com/courses/inbound-marketing

10. Coursera: Machine Learning (by Stanford University)
- 🔗Course Link: https://www.coursera.org/learn/machine-learning

11. HubSpot Academy: Inbound Marketing - Learn the fundamentals of inbound marketing, including content creation, social media promotion, and lead nurturing.
🔗 Course Link: https://academy.hubspot.com/courses/inbound-marketing

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🎯Top Free Resources to Learn SQL from Scratch:

📌Select Star SQL: What sets Select Star SQL apart is its hands-on learning approach. It allows you to run SQL queries against real-world datasets, enabling practical learning and project completion.

📌SQL Bolt: For a quick dive into SQL basics, consider SQL Bolt. This resource offers an interactive approach to learning SQL effectively.

📌SQLZoo: If you prefer practicing SQL with real-world databases, SQLZoo is a well-established platform for this purpose. It offers a space to write and run SQL queries against live databases.

📌LearnSQL: LearnSQL stands out with its extensive collection of 69 hands-on, online SQL courses, catering to both individuals and teams with a wide range of SQL topics.

📌W3Schools: W3Schools is a versatile platform known for its comprehensive tutorials and interactive examples in various languages and frameworks, including SQL.

📌DataCamp: Specializing in data-related courses, DataCamp provides numerous resources for SQL learners. Their course offerings range from “Intro to Tableau” to “Data Science for Everyone” and “Intro to SQL.”

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Immerse yourself in Python in just 6 weeks! From mastering fundamentals to pro-level coding, the Python course at [entrylevel.net](http://entrylevel.net/) is your gateway. 🐍 Elevate skills, earn a certificate, and jumpstart your coding journey. Check it out at: 🫰🏻
https://www.entrylevel.net/courses/python-developer-certification

Comment 'Yes' if you are interested!! 💕

Follow @techschoool for more such content..!!!🙌🏻

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