PYTHON03MTMaster ClassMT-PYTHON031.0<p>After this course you will be able to use Python in a deeper and more efficient way to develop more complex scripts or whole applications.</p><p>Previous course <span class="cms-link-marked"><a class="fl-href-prod" href="/swisscom/en/course/innovator-pyfun1"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Python for Beginners 1 <span class="fl-prod-pcode">(PYFUN1)</span></a></span> or <span class="cms-link-marked"><a class="fl-href-prod" href="/swisscom/en/course/innovator-pyfun2"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Python for Beginners 2 <span class="fl-prod-pcode">(PYFUN2)</span></a></span> or equivalent knowledge</p><p>Entry-level Python developers who want to deepen their knowledge and skills and Python developers who want to make the step from script to application.</p><h5>1. Organizing and Structuring Projects in Python</h5><ul> <li>Virtual Python environment</li><li>Version management</li></ul><h5>2. Modularisation</h5><ul> <li>Global modules</li><li>Local modules</li><li>Packages</li><li>Importlib</li></ul><h5>3. Iterators</h5><ul> <li>Comprehension</li><li>Chained lists</li><li>Generators</li></ul><h5>4. Object-Oriented Programming in Python</h5><ul> <li>Classes and objects</li><li>Access to attributes</li><li>Inheritance</li></ul><h5>5. Naming Conventions and Best Practices</h5><h5>6. System Functions</h5><ul> <li>The modules os, sys, psutil</li><li>Standard input and output</li><li>Working with files</li></ul><h5>7. Working with Third-Party Packages</h5><ul> <li>Numpy</li><li>Matplotlib</li><li>Pandas</li><li>Scipy</li><li>etc.</li></ul><h5>8. Testing and Tuning</h5><ul> <li>Automated testing</li><li>Logging</li><li>Performance Analysis</li><li>Optimization</li></ul><h5>9. Simple Web Applications with Python</h5><ul> <li>Django</li></ul><h5>10. Outlook Machine Learning with Python</h5><h5>11. Outlook Network Programming with Python</h5><h5>12. Python Hosting</h5><ul> <li>Program Distribution</li><li>Python in SQL Server</li><li>Python in Power BI</li></ul><h5>13. Programming Style, Best Practices</h5>After this course you will be able to use Python in a deeper and more efficient way to develop more complex scripts or whole applications.Previous course Python for Beginners 1 (PYFUN1) or Python for Beginners 2 (PYFUN2) or equivalent knowledgeEntry-level Python developers who want to deepen their knowledge and skills and Python developers who want to make the step from script to application.1. Organizing and Structuring Projects in Python - Virtual Python environment - Version management 2. Modularisation - Global modules - Local modules - Packages - Importlib 3. Iterators - Comprehension - Chained lists - Generators 4. Object-Oriented Programming in Python - Classes and objects - Access to attributes - Inheritance 5. Naming Conventions and Best Practices 6. System Functions - The modules os, sys, psutil - Standard input and output - Working with files 7. Working with Third-Party Packages - Numpy - Matplotlib - Pandas - Scipy - etc. 8. Testing and Tuning - Automated testing - Logging - Performance Analysis - Optimization 9. Simple Web Applications with Python - Django 10. Outlook Machine Learning with Python 11. Outlook Network Programming with Python 12. Python Hosting - Program Distribution - Python in SQL Server - Python in Power BI 13. Programming Style, Best Practices3 days3290.003290.0011410.002550.003290.003290.003290.002260.00